Abstract
Radiation therapy (RT) employs ionizing radiation to kill cancerous cells. However, delivering radiation to tumors, typically embedded within normal tissues, inevitably exposes healthy organs to radiation, leading to collateral damage. This creates a tradeoff between the tumor control probability and normal tissue complication probability, ultimately limiting the dose that can be safely administered. While highly conformal RT techniques have improved tumor targeting and treatment efficacy, they remain inadequate for treating large and radioresistant tumors, pointing out the need for alternative strategies. Spatially fractionated RT, ultra-high dose rate RT, and nanoparticle-enhanced RT are emerging techniques with promise in enhancing tumor control while minimizing normal tissue toxicity. Successful clinical translation of these advanced techniques requires cross-disciplinary efforts aimed at technological innovation, a deeper understanding of the underlying radiobiological mechanisms, and the development of early-phase clinical trials. This paper provides an overview of these techniques and their associated challenges and opportunities.
Keywords: radiation therapy, spatially fractionated radiation therapy, ultra-high dose rate, FLASH, nanoparticle, dosimetry
1. Introduction
Cancer remains one of the leading causes of death in the developed world [1]. The primary treatments for cancer include surgery, radiation therapy (RT), and chemotherapy [2]. Other treatments for cancer include stem cell transplant [3], hormonal therapy [4], immunotherapy [5], radiopharmaceutical therapy [6], monoclonal antibodies [7], hyperthermia [8], and photodynamic therapy [9]. A combination of these techniques may be required for treatment with approximately half of cancer patients benefiting from RT [10]. In RT, ionizing radiation (photons, electrons, protons, etc.) is used to kill cancer cells through radiation-induced DNA damage that leads to apoptosis or mitotic death [11]. Radiation dose is defined as the amount of energy absorbed per unit mass of tissue (J Kg−1 or Gy, Gray) [12]. The probability of DNA cell survival decreases as radiation dose increases. This dose-dependent relationship forms the basis of radiation oncology dose prescription. Radiation oncologists prescribe the dose to the treatment target (e.g. the tumor) while carefully considering the tolerance doses of neighboring healthy tissues, the so-called organs-at-rick (OARs). Cancer cells are generally more sensitive to radiation than normal cells because they tend to divide more rapidly and have impaired repair mechanisms. However, radiation-induced damage is not selective to tumor cells, and a dose that can be safely delivered to the target is limited by the sensitivity of surrounding normal cells. The balance between tumor cell killing (tumor control probability, TCP) and acceptable radiation-induced side effects (normal tissue complication probability, NTCP) is quantified by the therapeutic ratio [13, 14]. Recent advancements in medical imaging and RT have enabled highly conformal dose delivery which has allowed tumor dose escalation and improved the therapeutic ratio for many tumors. However, effectively treating radioresistant tumors near critical structures still face the challenges imposed by the NTCP. This remains a significant obstacle in contemporary conformal RT (CRT), despite the existing advanced treatment methods [15].
Temporal fractionation is one of the earliest methods to enhance the therapeutic ratio, where the total dose is delivered in multiple fractions allowing a differentiable repair in normal cells compared to tumor cells [13]. Common dose fractionation schemes involve daily doses of 2 Gy (e.g. 60 Gy in thirty 2 Gy-fractions) but may also be delivered in a hyperfractionated approach of smaller doses given more than once a day (e.g. 45 Gy in 30 twice daily fractions), or higher prescription doses delivered in one to five fractions (e.g. 50 Gy in 5 fractions). The size of the dose-per-fraction may impose stricter requirements for dose delivery with high doses per fraction requiring highly conformal dose distributions, advanced imaging and delivery techniques, robust immobilization, and motion management techniques (e.g. stereotactic body RT (SBRT) or stereotactic radiosurgery). These conventional RT approaches are often less effective for advanced-stage cancers, large radioresistant tumors, recurrent cancers, extensive brain tumors, and certain pediatric malignancies [16]. Spatially fractionated RT (SFRT), ultra-high dose rate (UHDR) RT, also known as FLASH RT, and nanoparticle (NP)-enhanced RT are techniques with potential to enhance the therapeutic ratio.
Despite advancements in image-guided RT, intensity modulated RT (IMRT) [17] and volumetric modulated arc therapy (VMAT) [18, 19], as well as adaptive RT [20, 21], radiation-induced toxicity to nearby healthy tissues remains a significant constraint. This constraint limits the maximum dose that can be safely delivered to tumors.
SFRT delivers radiation in a non-uniform pattern of high-dose regions within the tumor that can be particularly effective in large radioresistant tumors [22]. This technique can be delivered using a two-dimensional (2D) GRID dose pattern or a more advanced three-dimensional (3D) lattice dose pattern. These techniques are characterized by their highly heterogenous pattern of peaks of concentrated dose and surrounding lower dose valleys as opposed to the conventional uniform dose distribution.
FLASH RT delivers doses at extremely high dose rates, typically above 40 Gy s−1, compared to conventional dose rates of <0.5 Gy s−1. This rapid delivery has been shown to selectively reduce normal tissue damage while maintaining effective tumor control in preclinical studies [23].
Innovative strategies that enhance tumor radiosensitivity through a combination of radiation with drugs has also been explored. This approach has now been studied using metallic nanomaterials that enhance radiation dose absorption and coined NP-aided RT. NPs are promising tools in medicine due to their biocompatibility and ability to target cancer cells actively and passively [24]. Their small size (<100 nm) enables accumulation in tumors via the enhanced permeability and retention (EPR) effect [25]. Their high surface area also supports drug delivery and unique optical properties enabling various biomedical applications such as imaging, therapy, and diagnostics. These capabilities make NPs a powerful tool for addressing current treatment limitations [26].
This paper provides an overview of SFRT, FLASH RT, and NP-enhanced RT to provide context for scholars outside of the field of radiation oncology. It discusses the rationale of studying each of these techniques, the current status of research in each field, as well as combination strategies of these techniques.
2. RT
The workflow of conventional RT is shown in figure 1. After consultation with a radiation oncologist, the patient’s anatomy is acquired through a computed tomography (CT) scan and/or other 3D imaging modalities, such as magnetic resonance imaging (MRI) and/or positron emission tomography (PET). The radiation oncologist prescribes the radiation dose (and fractionation scheme) to the target and dose limits to the OARs. Anatomical structures, including the treatment target (e.g. tumor) and the nearby OARs, are delineated on the image set. A treatment planning system (TPS) is used by dosimetrists and/or medical physicists to calculate the dose and obtain an optimized plan to be approved by the radiation oncologist and clinical physicist. Prior to delivery of the radiation to the patient, as a quality assurance (QA) step, the beam is delivered under a measurement setup to compare the measured dose distribution to the TPS calculated one. The patient receives the prescribed dose based on the fractionation scheme and would have follow-up visits during and after completion of the course of RT.
Figure 1.
A RT workflow involves initial consultation with the radiation oncologist, obtaining patient’s anatomical information typically through CT scan, and/or MRI and PET, delineating treatment target and organs at risk, treatment planning typically through the treatment planning system, quality assurance either by performing secondary dose calculation or delivering the radiation to phantoms and comparing the measured dose distribution to the calculated one, radiation delivery to the patient, and follow-up visits.
External beam RT (EBRT) employs x-ray, electron, and ion beams [12]. A majority of the EBRT beams are delivered using megavoltage (MV) x-ray beams (∼6–18 MV) produced by linear accelerators (linacs) [27]. Figure 2 shows the depth dose distribution in water obtained by different beam types. MV x-ray beams deposit the maximum dose within a few centimeters of tissue beyond which the dose is exponentially reduced by several percentages per centimeter. To spare healthy tissue while achieving a conformal uniform dose distribution within the target, multiple photon beams are typically used at different angles through techniques known as IMRT [17] and VMAT [18, 19].
Figure 2.

Representative depth dose profiles of radiation beams: ∼200 kVp x-ray, ∼10 MeV x-ray, ∼20 MeV electron, pristine Bragg-peak proton (∼150 MeV), and carbon ion beams (∼290 MeV/nucleon).
Electrons are charged particles with a finite range in tissue [27]. Due to their scattering properties, they are not optimal for deep-seated targets and typically used for superficial targets, within a few centimeters from the skin. Typical energies of electrons used in RT are ∼4–20 MeV with a practical range of ∼2–10 cm. The depth into tissue corresponding to 90% of the maximum dose is usually within ∼1–5 cm and corresponds to the clinically meaningful range of tissues that are typically treated. Many linacs commonly used to deliver MV photon beams have the ability to produce therapeutic electron beams.
Ion beams, such as protons and carbons, can penetrate deep into tissue and characteristically deposit the dose by initially losing energy slowly, but as the particles slow down, a majority of the dose is deposited at a certain depth depending on their initial energy [28–30]. Their depth dose profiles show a distinct peak known as the Bragg peak (BP) at the distal end of its range, where most of the dose is deposited with almost no dose beyond that point. As such, ion beams can significantly spare OARs at depths beyond the tumor’s location. However, a single BP cannot cover the tumor’s extent in direction along the beam and a series of BPs with reducing energies and fluences are used to create the so-called spread-out BP to cover the entire depth of the tumor. Proton therapy accelerators include isochronous cyclotrons, synchrocyclotrons, and synchrotrons [31, 32].
Advances in RT beam delivery techniques have progressed significantly over the last century (figure 3 [33]). During the initial period of RT development (1930’s), lower energy kilovoltage x-ray beams were used to irradiate treatment targets. Due to their poor penetration (high attenuation) in tissue, the total dose to the target was limited by the skin dose or other OAR’s dose tolerance. Invention of 60Co RT delivery systems in the 1950’s allowed dose escalation thanks to the high penetration and energy of photons (1.17 MeV and 1.3 MeV) produced in the radioactive decay of 60Co. Development of clinical linear accelerators in the 1960’s allowed employing even higher energy x-ray beams to the current practical photon energy range used today (6–18 MV) and furthering dose escalation of the targets. The invention of CT systems allowed precise targeting of the tumors and sparing the OARs through a technique now known as 3D CRT. Development of multileaf collimators (MLCs) allowed fluence modulation and more conformal dose delivery to the target and better sparing of OARs through IMRT and VMAT techniques around the early 21st century. Ion beam therapies gained popularity during the turn of the millennium with currently over 100 proton therapy centers operating around the world. Proton therapy has also emulated photon modulation techniques where multiple x-ray fields at various angles are used to provide a conformal plan through IMRT and VMAT techniques. A similar concept has been implemented in proton therapy to provide a conformal plan through intensity modulated proton therapy [34].
Figure 3.
Advances in RT over the past century exemplified for prostate cancer irradiation. Increasing the beam energy and targeting precision allowed dose escalation of the prostate without exceeding the dose limit of healthy tissues allowing transition from palliative RT to curative RT. RT, radiation therapy; 3D-CRT, 3D conformal RT; IMRT, intensity modulated RT. Reproduced from [33], with permission from Springer Nature.
Modern advancements in RT have traditionally been aimed at improving the therapeutic ratio with technological advancements of delivery devices, but several limitations remain. There are biological limitations in terms of normal tissue toxicity, radioresistance, hypoxia, and genetic differences that result in variable response to radiotherapy. There are technological limitations in terms of imaging accuracy and motion management that hinder the ability to deliver high doses to the target while sparing surrounding structures. SFRT, FLASH RT, and NP-enhanced RT have emerged as promising developments with potential to improve on these limitations and enhance RT.
3. SFRT
SFRT has a longer history compared to UHDR and NP-enhanced RTs. SFRT is the delivery of spatially non-uniform dose to a target by segmenting the radiation field into narrow beamlets separated apart spatially, as opposed to conventional RT in which a uniform dose is delivered across the treatment target. SFRT was initially developed in the early 1900s to reduce skin toxicity in cancer patients receiving high doses of orthovoltage (∼200–500 kVp) x-rays. Since then, it has evolved into a clinical strategy for shrinking large deep-seated tumors when uniform dosing would harm normal structures [35]. Over the past thirty years, research has focused on SFRT’s unique biological effects, exploiting tumor cell heterogeneity, differential oxygenation (hypoxic vs normoxic regions), and immune-modulating properties, to achieve a higher therapeutic index than conventional uniform-dose radiotherapy [36]. Figure 4 illustrates the timeline of key milestones in the evolution of SFRT.
Figure 4.
Illustration of the timeline of key milestones in the evolution of SFRT. The field originated with the first delivery of GRID RT by Köhler [37, 38]. Major advancements include the introduction of Megavoltage (MV) GRID RT by Mohiuddin et al [39], microbeam radiation therapy (MRT) by Slatkin et al [40], development of Multi-Leaf Collimator (MLC) GRID RT by Ha et al [41], and minibeam radiation therapy (MBRT) by Dilmanian et al [42]. Wu et al. implemented the concept of Lattice Radiation Therapy (LRT) [43], followed by the development of proton minibeam radiation therapy by Prezado and Fois [44]. The first clinical report of LRT was published by Suarez et al [45]. Further innovations included Tomotherapy GRID (TOMO GRID) RT by Zhang et al [46], Proton GRID RT by Henry et al [47], and FLASH MRT by Wright et al [48].
The exact mechanism responsible for SFRT is yet to be fully understood. However, various mechanisms have been suggested to play a role in the effectiveness of the SFRT. High-dose radiation in SFRT can induce abscopal effects, triggering immune-mediated systemic responses at distant non-irradiated sites [49, 50]. SFRT also appears to enhance infiltration of immune cells, such as T cells, B cells, and natural killer cells, into the tumor which shows promise in combination with immunotherapy to improve treatment efficacy [51]. Another important effect of SFRT is on the tumor’s blood vessels. High radiation doses (over ∼8–10 Gy) can induce irreversible damage to the blood vessels inside the tumor, making them collapse or change structure, while damage to normal tissue vessels can mostly be repaired [50, 52]. Interestingly, SFRT seems to affect even the parts of the tumor that did not receive a high radiation dose. These bystander effects include signs of immune activation and increased DNA repair activity in the lower-dose regions between the high-dose areas [53, 54]. Additionally, stem cell migration and proliferation in low-dose valleys contribute to normal tissue tolerance, facilitating repair in high-dose regions, as seen in rapid skin regeneration and germ cell survival [55, 56].
Broadly, SFRT can be categorized based on its beam delivery technique as 2D or 3D SFRT. 2D SFRT, also known as GRID RT, delivers radiation with alternating regions of high (peak) and low (valley) doses, arranged in a regular pattern across the treatment field [22]. This is typically achieved using physical collimators with circular or slit apertures. GRID RT includes clinical GRID RT, microbeam RT (MRT), and mini-beam RT (MBRT), depending on the size of the beam shaping apparatus [57, 58]. These 2D SFRT techniques are characterized by parameters of peak dose, valley dose, peak-to-valley dose ratio (PVDR), and the center-to-center (CTC) spacing between apertures. The PVDR is defined as the ratio between the dose delivered in the high-dose regions (peaks) and the adjacent low-dose regions (valleys) created by the beam modulation pattern. The valley dose refers to the minimum absorbed dose in the low-dose regions between peaks, which plays a critical role in normal tissue sparing [57]. Figure 5 provides a schematic overview of dose delivery in different SFRT techniques. 3D SFRT, also called lattice RT (LRT), creates peak and valley dose regions within the tumor volume by utilizing multiple photon beams or the BP of scanning proton pencil beams. Table 1 summarizes important characteristics of these SFRT techniques.
Figure 5.
Schematic representation of various 2D SFRT delivery methods with typical cross-beam profiles for peaks and valleys at the collimator surface (white dashed lines) to cover a 30 mm-wide target (black region). The peak dose increases with decreasing aperture size. These profiles degrade with depth into the tissue, depending on the radiation type, energy, and source structure.
Table 1.
Characteristics of spatially fractionated radiation therapy (SFRT) techniques reported in the literature.
| Feature | Lattice RT | Clinical GRID RT | MBRT | MRT |
|---|---|---|---|---|
| Beam size | 0.5–2 cm | 0.5–2 cm | 0.2–1.0 mm | 20–200 µm |
| Beam spacing | 1–4 cm | 1–4 cm | 0.8–4 mm | 100–800 µm |
| Radiation type | MV x-rays | Orthovoltage x-rays | Orthovoltage x-rays | Orthovoltage x-rays |
| High energy protons | MV x-rays | High energy protons | ||
| High energy protons | ||||
| High energy ions (C) | ||||
| Delivery method | IMRT and VMATPencil beam scanniing | Physical collimators Pencil beam scanning | Physical collimators Pencil beam scanning | Physical collimators |
| Peak dose (Gy) | 5–25 | 10–20 | 15–100 | > 100 |
| PVDR | Low: 2 | Low: 2 | Medium: 2–20 | High: > 20 |
| Main treatment purpose | Palliative treatment, Reducing normal tissue toxicity, | Palliative treatment, Reducing normal tissue toxicity, | Curative treatment—enhanced therapeutic ratio, Mechanistic studies | Curative treatment—enhanced therapeutic ratio, Mechanistic studies |
3.1. Clinical SFRT
Clinical implementations of SFRT include GRID RT and LRT [57]. These modalities differ in the spatial arrangement of their dose distributions. GRID RT typically involves a 2D pattern of peak and valley regions delivered via a single plane, while LRT employs a 3D array of high-dose vertices distributed within the tumor volume. Figure 6 illustrates representative dose distributions for various clinical SFRT techniques, demonstrating the characteristic peak-to-valley dose patterns with typical dose profiles.
Figure 6.
Examples of GRID and lattice RT for treating a bulky tumor in the thorax indicating axial and sagittal images with cross beam dose profile. Lattice RT using VMAT techniques with (a) 2 cm and (b) 3 cm center-to-center spacing. The sphere diameter (Ø) is 2 cm in (a) and 3 cm in (b). Larger CTC spacing provides higher PVDR and more flat areas in both peak and valley regions. (c) GRID therapy delivered by 6 MV photon beams using commercial brass collimator with divergent holes at CTC spacing of 2.1 cm in a hexagonal pattern and 1.4 cm peak width at isocenter. (d) GRID therapy delivered by proton beams using pencil beam scanning with the same CTC distance and aperture size of photon GRID shown in (c). Reprinted from [59], Copyright (2022), with permission from Elsevier.
3.1.1. GRID RT.
GRID RT, introduced by Kohler in the early 1900s [37, 38], was designed to treat deep tumors with low-energy x-rays (∼200–400 kVp) while minimizing skin toxicity [60, 61]. Based on the idea that small tissue volumes could tolerate high doses, orthovoltage x-rays were used through grid collimators for over 50 years to treat various tumors. With the emergence of MV photon systems like 60Co and linacs, which offered better skin sparing, GRID RT using kV photons declined between the 1960s and 1990s due to its limitations in treating large tumors without excessive normal tissue damage [62]. In the 1990s, Mohiuddin et al revived GRID RT using MV photons for palliation in bulky tumors, typically delivering 10–20 Gy in one fraction through GRID blocks with 50% open areas [39, 63]. The adoption of multi-leaf collimators allowed 3D dose planning and parameter optimization, though it led to longer treatment times, higher surface doses, and dosimetric challenges from motion and small field effects [64, 65]. Proton GRID RT, especially with pencil beam scanning (PBS), offers better dose control and less normal tissue exposure than photons [66, 67]. Both MLC and PBS have expanded the clinical utility of GRID RT, now mainly used in palliative care for head and neck cancers, sarcomas, and large tumors, with >70% response rates [35, 68]. GRID RT is also used as a boost for enhancing outcomes in curable bulky tumors [69].
In GRID RT, the peak dose refers to the unblocked beam path, while the valley dose results from scatter and leakage [70]. The prescription dose is typically defined at the central peak, but valley dose and PVDR are also important [71]. There’s no consensus on optimal dosimetric guidelines, since these parameters vary with tissue depth, scattering, and beam geometry factors, such as beam divergence and penumbra [72]. In proton GRID RT, two strategies exist: using multiple fields to place the BP inside the tumor for a uniform dose distribution [47] or using a single field with the beam plateau region passing through the tumor for a non-uniform dose distribution [59]. Proton GRID shares similar field sizes with photon techniques, but PVDR is generally lower for deeper targets [66, 73]. A key advantage is the minimal exit dose due to the BP [73]. Other modalities, such as carbon ions [74] and very high-energy electrons (VHEEs, 100–250 MeV) [75], have also been explored. VHEEs offer favorable dosimetry but can generate significant bremsstrahlung radiation (x-rays that would lead to additional dose) from the collimators, typically made of high atomic number materials [76–78]. Using PBS with VHEEs can help reduce this effect and support clinical translation.
3.1.2. LRT.
LRT, introduced in 2010, extends GRID RT by delivering high doses to discrete 3D regions (vertices) within a tumor, creating peak-to-valley dose distributions [79]. This spatial pattern resembles interstitial brachytherapy, with high-dose peaks surrounded by lower-dose valleys, enhancing tumor targeting while sparing nearby normal tissues [43]. LRT is especially useful for treating large, bulky tumors, often combined with conventional or hypofractionated CRT to achieve major tumor shrinkage (>50%) [79, 80], or used alone in an SBRT-like fashion [81, 82]. Three LRT design strategies exist: (1) geometric, using regular vertex placement [83]; (2) arbitrary vertex placement, for flexible planning; and (3) metabolism-guided, using PET/CT to place peaks in regions of high 18F-FDG uptake [84].
LRT has been implemented with MV photons and protons in treating gynecological, pulmonary, GI, and sarcomatoid tumors [79–83], using IMRT and VMAT techniques [85, 86]. Peak doses typically range from 5–25 Gy/fraction, with 50%–80% PVDRs and peripheral doses of about 3 Gy [43, 87], with smaller spacing used in boost treatments and larger spacing for standalone treatments [88–90]. Image guidance and motion management are essential to maintain accuracy of dose delivery.
3.2. Preclinical SFRT
Preclinical studies are usually designed to evaluate the safety, biological mechanisms, and therapeutic efficacy of a treatment approach, forming the foundation of clinical trial development. Although SFRT has been employed in clinical practice for over a century, many fundamental questions remain unanswered. Most preclinical SFRT investigations use murine or rodent models, which, due to their small size, require reduced radiation field dimensions and lower beam energies. Accordingly, preclinical SFRT research is generally classified into two main categories based on the beam size: MBRT and MRT [22].
3.2.1. MBRT.
MBRT delivers spatially fractionated radiation with beam widths of 0.2–1.0 mm and CTC spacing from 0.8 mm to several millimeters, much smaller than in clinical GRID therapy. This enables high peak doses (up to 100 Gy) to tumors while minimizing damage to normal tissues [91, 92]. MBRT may offer advantages over conventional RT, particularly for radioresistant tumors, by exploiting the volume effect and stimulating regenerative responses in normal tissue [93–95]. Its precise dose distribution also makes it useful for studying SFRT’s biological mechanisms.
Most preclinical MBRT studies use kV x-rays with physical collimators on small animal irradiators [96–98]. These systems deliver 1–5 Gy min−1, with irradiation times from a few to over 20 min, raising concerns for motion-sensitive targets like lungs or abdomen [99]. Fixed collimator designs limit flexibility in studying optimal physical and geometric parameters, whereas modular collimators made from tungsten/brass and 3D-printed plastics enable customizable apertures [100]. New high-dose-rate irradiators (up to 125 Gy s−1) shorten treatment times, although uniform dose delivery over larger fields remains challenging [101]. Scanning MBRT using robotic stages offers an alternative, eliminating the need for multi-aperture collimators.
Charged particles (e.g. protons, carbon ions) have also been used for MBRT, enabling narrow-beam scanning via magnetic fields without collimators [102–104]. Despite their benefits, dosimetry and radiobiological challenges remain, especially near the BP where scattering reduces PVDR [105]. As illustrated in figure 7, Proton MBRT achieves normal tissue fractionation while delivering a relatively uniform dose to deeper targets.
Figure 7.
Illustration of proton MBRT delivered via pencil beam scanning to a deep-seated target, with cross-beam profiles shown at the surface and along peak and valley axes with depth. Due to multiple scattering of protons near the end of their range, lateral dose spread produces a relatively uniform dose distribution at the Bragg peak within the target. As depth increases, peak dose decreases and valley dose increases, leading to a reduced PVDR. Reprinted from [105], Copyright (2022), with permission from Elsevier.
Clinical investigations include MBRT trials in dogs with brain tumors, comparing conventional stereotactic RT (3 × 9 Gy) to single-fraction MBRT (∼26 Gy mean dose with 6 MV x-rays). MBRT achieved ∼60% complete pathological response vs. partial remission in controls, with fewer long-term toxicities [106]. MBRT has also been used in humans for superficial tumors using 180 kVp x-rays, delivering 30 Gy in two fractions with 0.5 mm slits and 1.1 mm CTC spacing. Patients showed symptom relief and tumor response, with collimators fixed to minimize motion during 12 minute treatments [107].
3.2.2. MRT.
Microbeam RT is a specialized type of RT that delivers high doses, ranging from hundreds to 1000 Gy, through extremely narrow beams (20–200 μm wide), spaced 0.1–0.5 mm apart, using advanced synchrotron x-ray sources [108–111]. Unlike traditional GRID therapy or MBRT, MRT provides exceptional spatial resolution, making it an excellent tool for exploring biological responses to uneven radiation doses. First studied in the 1960s at Brookhaven National Laboratories for radiation safety and space research, MRT emerged as a potential therapy in the 1990s with synchrotron advancements [112]. Preclinical studies have demonstrated its ability to treat tumors, including brain, melanoma, and mammary cancers, while preserving healthy tissue, even at peak doses above 1000 Gy [113–117].
MRT is believed to affect biological systems differently from conventional RT, primarily through vascular damage, immune activation, and non-targeted effects (such as bystander and abscopal responses), rather than radiation-induced DNA damage [113–117]. MRT disrupts immature tumor vasculature while sparing normal vessels, enhances tumor vessel permeability (aiding drug delivery), and stimulates strong immune responses unlike conventional RT [118, 119]. Studies observed increased immune cell infiltration and pro-inflammatory gene expression, with in-situ vaccination effects and systemic tumor control [119–122].
In MRT, the CTC spacing is 4–8 times wider than the beam width, exposing more tissue to valley doses [123]. Low valley doses (<1 Gy) may enhance bystander and abscopal effects [124], while higher doses can suppress tumor regrowth and support immune and vascular responses. Studies have shown valley dose better predicts treatment efficacy than peak dose. Multi-angle beam delivery allows increased valley dose [125]. However, translating MRT’s advantages to larger-scale SFRT remains uncertain [113, 126]. Synchrotron x-rays enable millisecond-range delivery, crucial for avoiding motion artifacts in brain irradiation, where cardiac-induced movement (∼100–200 µm) matches microbeam size [127, 128]. These UHDRs may also trigger the FLASH effect, reducing toxicity while preserving tumor control [129, 130]. However, ideal MRT parameters are still under investigation. Despite promising results, the optimal dosimetric and geometric parameters for MRT, specifically peak dose, valley dose, and beam spacing, for maximizing tumor control with reducing normal tissue toxicity remain unclear.
3.3. Challenges associated with SFRT
SFRT (GRID or LRT) combined with conventional RT has shown promising tumor and symptom control. Clinically, these techniques act as an up-front ‘boost’ to the uniform dose, taking advantage of valley-dose correlations with tumor response. Preclinical MBRT and MRT monotherapies also demonstrate strong control of aggressive, radioresistant tumors while sparing normal tissue. SFRT holds potential for tumors with poor local control under standard RT (e.g. glioblastoma, Ewing sarcoma) and settings where long-term toxicity is a concern (e.g. pediatric cancers, reirradiation). Targeting biologically distinct regions, such as areas of high metabolic activity identified on PET-SFRT, enables precise dose painting and may synergize with immunotherapies, as early clinical data show high symptomatic relief and occasional complete remissions [84].
Although significant progress has been made, further understanding is needed to fully harness SFRT for patient care. This requires addressing two key areas: (1) understanding radiobiology of SFRT, including immune activation, vascular effects, and bystander/abscopal mechanisms, as well as the basis for normal-tissue sparing; (2) correlating dosimetric/geometric parameters (peak width, valley dose, PVDR) with treatment outcomes [22]. Addressing these gaps requires both clinical trials that vary SFRT parameters systematically and preclinical studies that mimic clinical scenarios (e.g. SFRT followed by conventional RT or combined therapies). Bridging these areas will enable mechanism-driven dose prescriptions, SFRT-specific treatment planning tools, and broader clinician education.
4. FLASH RT
The conventional radiation doses are typically delivered at approximately 2–24 Gy min−1 (0.03–0.4 Gy s−1) average dose rate in mainstream practice of RT. For example, a 2 Gy fraction of a typical prescribed 60 Gy course of RT is delivered within several minutes depending on the intensity modulation. FLASH RT delivers doses at much higher average dose rates of ≳40 Gy s−1, and has attracted intense research interest in the past decade due to its potential to better spare healthy tissues while maintaining the same tumoricidal effect compared to RT at conventional dose rates [131–135]. Historical in vitro studies in the 1960s indicated that cell survival improved at UHDR (∼107 Gy s−1 instantaneous dose rate) when the cells received the same dose of radiation at different dose rates [136, 137]. These early studies were only possible in research facilities for pre-clinical studies. In 2014, Favaudon et al demonstrated in vivo that mice receiving the same dose but at ultra high dose rates (>40 Gy s−1 average dose rate) resulted in less pulmonary fibrosis and coined the term FLASH RT [138].
The FLASH effect in RT refers to a biological phenomenon in which a reduction in normal tissues toxicity happens at UHDR while the damage to the tumor tissue remains the same [139]. The FLASH effect has been reported in various animal models and tissues by multiple investigators from different institutions around the world [23]. The exact mechanism responsible for the FLASH effect is yet to be understood [140]; however, several hypotheses have been proposed based on oxygen depletion [141], free radical reactions [142], mitochondrial damage [143], immunological response [144], and vascular effects [145]. The consensus is that the FLASH effect requires a minimum threshold for dose rate (≳40 Gy s−1) and dose (≳5 Gy). The clinical implementation of FLASH RT would significantly benefit from a deeper understanding of the physicochemical and biological mechanisms underlying the FLASH effect.
Safe and effective translation of FLASH RT requires stable radiation sources, reliable dosimeters, and understanding of the mechanism responsible for the FLASH effect. One important aspect of such studies to shed more light on the nature of the FLASH effect is the impact of the temporal structure of the radiation output (e.g. instantaneous dose rate, average dose rate, dose-per-pulse, etc). In conventional RT, the temporal structure of the radiation output is not relevant. However, in FLASH RT involving sub-second delivery of radiation, the instantaneous dose rate may play a role. The average dose rate is defined as , in which D is the total delivered dose over a time period t. However, for beams with distinct macro-pulses, the instantaneous dose rate or dose-rate-per-pulse is much higher than the average dose rate. The instantaneous dose rate is defined as , where N is the number of delivered pulses, f is the pulse repetition frequency, and is the temporal pulse width [146].
Figure 8 shows the radiation output structure of various radiation types. A radioactive source can be assumed to have a continuous radiation output (figure 8(a)); similarly, the output of an x-ray tube can be continuous radiation. However, in RT accelerators, the radiation consists of pulses, specifically micro- and macro-pulses. Figure 8(b) shows the output of a typical RT linac operating at 250 Hz with macro pulses separated 4 ms apart. Figure 8(c) corresponds to an isochronous cyclotron with a quasi-continuous output whereas in figure 8(d) a synchrocyclotron’s output is presented with distinct macro pulses separated 1.33 ms apart corresponding to 750 Hz. Figure 8(e) represents the output of a laser-driven proton source with ultrashort pulses (∼fs–ps) operating at 1 Hz. Figures 8(f) and (g) show the output of a typical RT linac modified for electron FLASH delivery as well as that of a dedicated pre-clinical research linac. Figure 8(h) shows the output of a laser-driven electron source with fs-scale pulses operating at 1–10 Hz.
Figure 8.
Temporal radiation output structure of a (a) radioactive source, (b) typical RT linac, (c) proton therapy isochronous cyclotron, (d) proton therapy synchrocyclotron, (e) laser-driven proton source, (f) modified clinical linac, (g) dedicated research linac, and (h) laser-driven electron source for UHDR research. [147] John Wiley & Sons. © 2020 American Association of Physicists in Medicine. Reproduced with permission from [146]. © 2022 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine. CC BY-NC-ND 4.0. Reproduced from [148]. CC BY 4.0.
4.1. Radiation sources
Electrons:
Developing radiation sources for FLASH RT is required for systematic studies. Conventional RT is primarily administered using MV x-ray beams typically with 6–18 MV energy. However, FLASH RT delivery of such photon energies is not achievable using exiting clinical linear accelerators due to the significantly low efficiency of the bremsstrahlung process. Most of the initial FLASH experiments have been performed using electron beams (∼4–10 MeV energy) produced by dedicated accelerators [149]. Later, it was shown that the conventional RT linear accelerators can be modified to deliver electrons at FLASH dose rates by retracting the x-ray target in a manner that high fluence of electrons are provided at the output. Placing the experimental subject (e.g. a mouse) at a close distance to the linac’s head allows a higher dose rate according to the inverse square law. However, typically, it will increase the dose rate by a factor of ∼2–3 which alone is not sufficient to reach FLASH dose rates (conventional RT dose rate is ∼2–24 Gy min−1 at 100 cm distance from the x-ray target). Further modification was done through applying a high beam current like the one used for photon beam delivery but with the x-ray target being retracted. As such, a high fluence rate of electrons will be achieved at the exit of the linac. Electron FLASH delivery with modified linacs has been shown by several investigators achieving average dose rates of several hundred Gy s−1 over a several centimeters radiation field size [150–152].
Photons:
Producing MV x-ray FLASH beams is challenging [129]. A few studies have been performed at national laboratories with synchrotron facilities [153]. It has been suggested that a multi-source accelerator simultaneously firing MV x-rays can achieve FLASH dose rates. However, such a system is associated with design complexities.
Kilovoltage x-ray FLASH on the other hand has been achieved over a small field size by bringing the subject as close as possible to the x-ray tube, taking advantage of the inverse square law. Cecchi et al demonstrated ∼100 Gy s−1 instantaneous dose rates over an ∼2 mm × 2 mm area in the proximity of an x-ray tube [154]. Rezaee et al demonstrate a dual-source cabinet-based x-ray FLASH irradiator for preclinical studies, providing dose rates around 100 Gy s−1 over a several cm2 field size [101, 155]. Tan et al through simulation proposed a multi-source FLASH irradiator composed of an array on miniature x-ray sources firing simultaneously, providing FLASH dose rates over a centimeter-scale area [156]. It should be mentioned that kilovoltage x-rays are only useful for small animal research or treatment of very superficial and small tumors.
Protons:
In the foreseeable future, proton FLASH RT is the most promising modality for human clinical trials allowing treatment of deeper targets [157]. Figure 2 shows the depth-dose curves of several beam types. Protons can penetrate deep in tissue and deliver the majority of the dose at a specific location known as the BP. There are three main technologies to produce protons of therapeutic energies: isochronous cyclotron, synchrocyclotron, and synchrotron. FLASH delivery has been demonstrated using all these modalities by increasing the initial beam current and further optimization and tuning of some operating parameters [147, 158–160]. Human clinical trials are ongoing using proton FLAHS RT [161]. Proton FLASH RT has been studied through shoot-through or transmission of conformal FLASH [162, 163].
The state-of-the-art proton therapy systems employ a technique known as PBS to expand the radiation field in a plane perpendicular to the radiation beam. In order to cover the extent of the tumor along the beam direction, multiple energies are used so that the whole tumor volume receives the prescribed dose. In the context of FLASH RT, PBS would complicate the dose rate measurement as each voxel in the target may not receive the same dose rate. As such, various definitions have been proposed to define the dose rate in scanning fields [164], such as PBS dose rate [165], dose-averaged dose rate [166], and average dose rate [158]. Measuring such dose rates in 3D requires dedicated dosimeters with high spatiotemporal resolution.
Static proton fields produced through passive scattering techniques, which now have been replaced by PBS systems, provide more uniform dose rate distribution across the volume. However, achieving a FLASH dose rate using passive element for field shaping is not practical for large fields. Nevertheless, static beam shaping through passive elements is appealing for small animal experiments dealing with small fields (∼1 cm3). Various designs have been demonstrated to achieve such fields [167].
4.2. FLASH dosimetry
Accurate measurement of the radiation dose is of utmost importance in RT QA. A variety of active and passive, single- and multi-element dosimeters, as well as dosimetry protocols (e.g. AAPM’s TG-51 [168], TG-61 [169], and TRS 398 [170]) exist for conventional RT machines. Table 2 summarizes a list of dosimeters with their features. FLASH RT dosimetry is not straightforward due to the UHDRs involved. Significant research has been devoted to developing dedicated dosimeters and dosimetry techniques for FLASH RT [146, 171, 172].
Table 2.
Characteristics of RT dosimeters. Reproduced from [148].
| Dosimeter | Reference dosimetry | Beam monitor | Spatial resolution | Real time | Temporal resolution | Accuracy | 2D | In vivo | Water-equivalent |
|---|---|---|---|---|---|---|---|---|---|
| Ion chamber | Yes | Yes | Several mm | Yes | 100–200 µs | 1%–2% | Array | No | ∼Yes |
| Calorimeter | Yes | Yes | ∼ cm | Yes | ms–10 s ms | 1% | No | No | Yes (water) |
| Fricke | Yes | No | Sub-mm to cm | No | N/A | 1% | Potentially | No | ∼Yes |
| Semiconductor | No | Yes | Sub-mm | Yes | 1–10 ns | 2%–5% | Array | Yes | No |
| RC Film | No | No | Sub-mm | No | N/A | 3%–5% | Yes | Yes | ∼Yes |
| TLD | No | No | Several mm | No | N/A | 3%–10% | No | Yes | ∼Yes |
| OSLD | No | No | mm (sub-mm) | No | N/A | 3%–5% | Array | Yes | No |
| RL dosimeter (Scintillator) | No | Yes | Sub-mm to several cm | Yes | Ns–µs | 3%–5% | Yes (Array) | Yes | ∼Yes (organic) |
Ionization chambers are the gold standard in RT dosimetry and the recommended device for RT machine calibration [173]. Commercial devices based on multilayer ion chambers are available to provide 2D measurements in a plane perpendicular to the beam or along the beam. Due to UHDRs involved in FLASH beams, ion recombination in these devices can impact the measurement if not properly mitigated [158]. It has been shown that increasing the operating potential or reducing the separation between the electrodes can mitigate the impact of ion recombination. Furthermore, several prototypes of multilayer ionization chambers have been designed and are under development to perform 2D and 3D dosimetry in FLASH beams [174–176].
Semiconductor-based devices are an attractive choice in RT dosimetry due to their higher sensitivity allowing for high resolution and multi-dimensional dosimetry. In an ion chamber ∼34 eV is needed to produce an ion-pair, whereas in a silicon ∼3.4 eV is required to produce an ion-pair [177]. Due to their crystalline nature, they suffer from orientation dependency [12]. They also suffer from dose rate dependency [178]. Silicon is not water equivalent; however, synthetic diamonds have an effective atomic number closer to that of water. Researchers are working on developing diamond detectors for FLASH dosimetry and beam monitoring [179].
Radioluminescent dosimeters are attractive choices for RT dosimetry; they can provide high spatiotemporal resolution multi-dimensional measurements [148, 180]. Plastic scintillators have water-equivalent properties. Scintillation-based dosimeters, when synchronized with the accelerator’s pulse train, can provide pulse-by-pulse measurement [181, 182]. Scintillators coupled with optical fibers can provide point measurement with high resolution. Cherenkov radiation and ionization quenching are two main challenges associated with scintillation dosimetry [183, 184]. The former is a significant issue in photon and electron fields, while the latter is an important issue in ion beams such as protons [185, 186]. While Cherenkov light is a parasitic signal in scintillation dosimetry, it should be noted that imaging the Cherenkov light in undoped media, such as water or patient’s skin, can be used for relative dosimetry in electron and photon fields [187]. Researchers are working on developing radioluminescent-based dosimeters with high spatiotemporal resolution for FLASH RT.
Calorimetry provides absolute measurement of the radiation dose by measuring the induced heat in the dosimeter material, typically graphite or water [12]. Water calorimeters are bulky and used in standard laboratories. However, graphite-based calorimeters have been used for FLASH RT dosimetry [171]. The spatial resolution is limited, and they may not be optimal for small-field dosimetry. Researchers are working on developing calorimeters with high temporal resolution to measure the temporal dynamics of beams.
Radiochromic film dosimeters are composed of radiosensitive monomers that undergo solid-state polymerization upon irradiation [188, 189]. The radiation-induced polymerization, manifested as a visible darkening of the films, is proportional to the dose and is quantified by the optical density [190, 191]. It has been shown that radiochromic films can be used for UHDR dosimetry [146]. However, caution must be exercised in using film for proton therapy dosimetry as their response has been shown to be impacted by the linear energy transfer (LET) of the beam [192, 193]. Other passive dosimeters, such as TLDs and OSLDs have been found to be appropriate for FLASH dosimetry [194].
4.3. Pre-clinical FLASH RT
Preclinical research over the last decade across multiple animal models, biological tissues, and beam modalities has produced a growing body of literature pointing toward the potential of FLASH RT to preserve normal tissue while maintaining tumor control, the so-called FLASH effect. In rodent models of the brain, FLASH preserved neurocognitive function, reduced neuroinflammation, and mitigated radiation-induced cognitive decline compared with RT at conventional dose rates [153, 195]. Similar protective effects were observed in the lung and thorax, where FLASH delivery reduced acute pulmonary fibrosis and long-term lung injury without compromising tumor response [196–198]. Experiments in both small animals and pigs confirmed reduced skin toxicity [199], while abdominal irradiation studies showed mixed results, with some reporting gastrointestinal sparing [200] and others showing no protective effect [201]. Importantly, FLASH RT achieved tumor control outcomes comparable to conventional RT across diverse tumor models, including glioma, lung, melanoma, and breast cancer, with studies reporting similar tumor growth delay, local control, and survival. These findings have been generated using different beam modalities: mostly electrons, which dominate small-animal research; protons, where preclinical evidence is rapidly expanding and shows promising tissue-sparing effects; and, to a lesser extent, photons, which nonetheless support the presence of normal tissue protection under FLASH conditions [202]. Recent studies using orthovoltage x-rays with high-power rotating-anode sources further demonstrated the feasibility of preclinical photon FLASH. Miles et al showed that ocular irradiation in mice preserved retinal function and spared inner retinal damage at FLASH dose rates compared with conventional irradiation [203]. In another investigation, the same group reported reduced radiation-induced skin injury while maintaining tumor growth suppression in mice irradiated with x-ray FLASH, thereby confirming normal tissue protection without loss of tumor control [204].
Consensus in preclinical FLASH RT research suggests that a dose rate of at least ∼40 Gy s−1 is generally required to induce the FLASH effect, and this must be paired with a sufficiently high single-fraction dose (greater than ∼5 Gy). Carlier et al indicated that most preclinical FLASH protocols assume a minimum dose of ∼4–10 Gy for normal-tissue protection [205]. An in vitro study showed that when a single dose reached 20 Gy, FLASH RT reduced DNA damage in lung fibroblasts and increased the cell survival rate and when a single dose was <20 Gy, the protective effect of FLASH RT disappeared [206]. These findings suggest that the threshold dose for inducing the FLASH effect is organ-specific and falls within a window for each tissue. Van Marlen et al modeled FLASH scenarios using thresholds of both ∼4 and ∼8 Gy, alongside the 40 Gy s−1 dose rate, to assess clinical feasibility [207]. Their analysis, performed in the context of SBRT (34 Gy, single-fraction lung SBRT), showed that transmission beam plans could theoretically achieve dose rates high enough for FLASH RT, with FLASH-percentages ranging from ∼30%–80% depending on beam delivery parameters. Importantly, they found that optimizing machine factors (e.g. shorter minimum spot times, higher nozzle currents, and spot-based gantry current techniques) increased the achievable FLASH dose percentage. However, despite technically feasible dose rates, the authors concluded that the dose threshold is likely the primary limiting factor in clinical FLASH realization, rather than the ability to achieve UHDRs.
A key trend from preclinical studies is that beam parameters strongly influence biological outcomes. A pooled meta-analysis of 41 experiments quantified tumor control and normal tissue sparing into a Therapeutic Index Score and correlated this with beam features [208]. The strongest associations were with pulse dose rate (r = 0.491, p = 0.038) and pulse dose (r = 0.476, p = 0.046), suggesting that short, high-dose pulses improve the therapeutic index. Mean dose rate correlated with normal tissue sparing, while total dose correlated with tumor control. These results emphasize the importance of both temporal structure and absolute dose, though the authors caution that study heterogeneity and semi-quantitative scoring may limit interpretation.
Large-animal studies in companion dogs have become an important bridge between rodent models and human translation of FLASH RT. At the University of Pennsylvania, researchers have launched a series of clinical trials using proton FLASH in dogs with naturally occurring cancers, including extremity sarcomas [209]. These efforts are part of a broader NIH-funded program on particle FLASH and represent some of the first systematic investigations of proton FLASH RT in veterinary oncology. In Europe, Børresen et al reported outcomes from a prospective cohort of privately owned dogs with macroscopic oral cancers treated with single-fraction electron FLASH at doses ⩾30 Gy [210]. Their study demonstrated promising tumor control but also revealed significant late toxicities, including osteoradionecrosis, underscoring the challenges of applying single high doses in the oral cavity. A follow-up analysis by Gjaldbæk et al confirmed the anti-tumor efficacy of electron FLASH RT in canine oral and nasal cancers [211]. Also, it pointed out that late bone and mucosal toxicity becomes a limiting factor around 30 Gy, suggesting the need for more refined dose and fractionation schemes. Beyond the University of Pennsylvania and the Scandinavian cohorts, veterinary clinical trial registries show ongoing proton FLASH trials in dogs with sarcomas and osteosarcomas, reinforcing the growing translational focus on large-animal models. In parallel, the University of Wisconsin–Madison has initiated a trial of FLASH RT in pet dogs with osteosarcoma, illustrating that multiple academic veterinary centers are now contributing to this field [212]. Collectively, these canine studies feature both the promise of FLASH RT to improve the therapeutic index in clinically relevant settings and the challenges of balancing tumor control with site-specific late toxicities.
4.4. Clinical trials of FLASH RT
In 2019, Lausanne University Hospital conducted the first human clinical trial of electron beam FLASH RT [213]. They treated a 3.5 cm cutaneous T-cell lymphoma lesion with a single 15 Gy FLASH electron fraction (90 ms delivery). The only acute skin findings were grade-1 epithelitis and transient grade-1 oedema, which the authors state peaked at approximately 3 weeks post-treatment; clinical exam and optical coherence tomography showed no epidermal thinning or basal-membrane disruption. The case report describes these reactions as transient and documents a durable complete tumor response at 5 months, but it does not specify the exact date when the grade-1 skin changes fully resolved.
In 2020, Cincinnati Children’s Hospital Medical Center/University of Cincinnati Health performed the first proton FLASH RT trial (FAST-01, NCT04592887) [214] on 10 patients (aged 27–81) with painful bone metastases, aimed at assessing the safety of proton FLASH beam delivery. Twelve lesions received a single 8 Gy dose at 60 Gy s−1 of shoot-through protons. The actual irradiation time was under 1 s. Three months post-treatment, seven patients achieved complete or partial remission. Pain relief was comparable to conventional palliative RT, and side effects were mild and transient, mainly mild skin pigmentation (Grade 1). These results demonstrate the safety and feasibility of proton FLASH RT. Building on these findings, the University of Cincinnati and Varian Medical Systems initiated the FAST-02 clinical trial targeting painful bone metastases in the thoracic region [215]; the study enrolled 10 participants and focused on treatment-related side effects and pain relief outcomes. While completion of enrollment was recently announced, the FAST-02 trial is still ongoing.
4.5. Challenges associated with FLASH RT
FLASH RT shows great potential for sparing healthy tissue while effectively treating tumors, but its clinical translation is not straightforward. Conventional dosimeters may have sub-optimal performance under UHDR beams, leading to inaccurate dosimetry. Beam structure variability across machines further complicates FLASH dosimetry and dose rate description. Real-time beam monitoring remains challenging, requiring detectors with high spatiotemporal resolution, transparency, and fast feedback. A wide dynamic range is also needed to be compatible at both UHDR and conventional RT dose rates. Biological uncertainties on the FLASH effect and optimum dose and dose rate add to its complexity. Addressing these technical and biological issues is essential for clinical translation of FLASH RT.
Electron FLASH RT has demonstrated early success in treating superficial tumors using dedicated devices [216]. Proton FLASH RT enables deep-seated tumor treatment at UHDRs, but beam shaping to conform to larger tumors while maintaining the UHDR is challenging. VHEEs (>100 MeV) offer promising penetration depths (5–30 cm), uniform dose distribution, and reduced scattering [217, 218], although their normal tissue-sparing effects remain under investigation [219]. Photon-based FLASH RT also faces challenges due to low conversion efficiency of the bremsstrahlung process and hardware limitations [220]. Understanding the responsible radiobiological mechanisms, clinical translation of FLASH RT, particularly for deep tumors, depends on advancements in beam delivery, accurate dosimetry, and the development of compact and cost-efficient systems [221].
Although preclinical reports of FLASH-mediated normal-tissue sparing span species and modalities, there is substantial heterogeneity in outcomes that must be acknowledged. Experimental and beam parameters, especially dose-per-pulse, dose-rate-per-pulse, average dose rate, total dose, and irradiation time, strongly influence whether a FLASH benefit is observed, and threshold effects vary between tissues and models [208]. Reproducibility has proven sensitive to differences in accelerator output, beam structure, dosimetry methods, and incomplete reporting, which complicates cross-study comparisons. Biological variables, such as tissue oxygenation and model-specific radiosensitivity, also modulate the response. Encouragingly, multi-institutional studies have demonstrated that with harmonized beam settings and rigorous protocols, the normal tissue sparing effect can be consistently reproduced across laboratories [222]. Nonetheless, conventional dosimeters struggle under UHDR conditions; there is a lack of agreed dosimetry standards, and existing devices may under-respond or misreport doses, emphasizing the need for new dosimeters and real-time beam monitoring systems [146]. Structured acceptance, commissioning, and QA frameworks covering essential parameters such as pulse structure and dose-per-pulse are being developed to ensure cross-platform consistency and will pave the way for robust clinical protocols [223].
5. NPs in RT
NPs have gained attention in RT due to their small size, biocompatibility, and potential in targeting tumors via both passive mechanisms, such as the EPR effect [25, 224, 225], and active targeting through ligand or antibody conjugation [24]. High-atomic-number (high-Z) metal NPs, like gold (AuNPs) and hafnium oxide (HfO2), act as effective radiosensitizers by enhancing local dose absorption via the photoelectric effect and emission of Auger electrons [226–228]. Their high surface area supports drug loading and contributes to phenomena like surface plasmon resonance, enabling strong optical responses for imaging and therapy [229].
Other metal and metal oxide NPs, such as palladium (PdNPs), platinum (PtNPs), silver (AgNPs), and zinc oxide (ZnONPs), also show promise in NP-enhanced RT due to their tunable physicochemical and optical properties [230–232]. AuNPs are particularly versatile due to their customizable synthesis and unique electronic and optical features [26, 229] enabling a wide range of biomedical applications (figure 9): Imaging: CT, photoacoustic imaging, and surface-enhanced Raman scattering; Delivery: Drugs, genes, and siRNAs; Therapy: Photothermal therapy and radiosensitization; Diagnostics: Biological and chemical sensing platforms.
Figure 9.
Biomedical Applications of AuNPs. Reprinted from [229], Copyright (2017), with permission from Elsevier.
5.1. Radiosensitization by high-Z elements
The photon interaction mechanisms that dominate when materials are irradiated with x-rays are Rayleigh scattering, photoelectric effect, Compton scattering, and pair production [12]. The photoelectric effect is highly relevant to radiosensitization, as it ejects inner-shell electrons whose energy can only damage nearby tissues due to their limited range. Its cross section is approximately proportional to (Z/E)3, where Z is atomic number of the material and E is photon energy. The relaxation of these ionized atoms produces fluorescence photons or Auger electrons, the latter of which travel only ∼10 nm causing dense, localized DNA damage which is effective only if it occurs near target molecules. Compton scattering, in contrast, is independent of the atomic number and results in lower-energy scattered photons and ejected electrons. High-Z NPs primarily enhance radiation dose through photoelectric interactions [233–236].
This principle underlies the use of high-Z metal NPs (e.g. gold) as radiosensitizers to increase tumor-localized radiation effects. Early dose enhancement was noted in contrast agent imaging studies [237], where iodine and gadolinium were used under kV and MV irradiation. However, AuNPs, with higher Z and better tumor targeting, offer greater radiosensitization. Preclinical animal studies using 250 kVp x-rays showed that AuNPs significantly improved tumor regression and survival [233, 238], and were particularly effective in treating radioresistant tumors like squamous cell carcinoma [239].
NPs enhance RT efficacy through multiple synergistic mechanisms. Upon irradiation, they amplify reactive oxygen species (ROS) production, inducing oxidative stress that induces damage to DNA, proteins, and lipids, leading to adverse biological effects such as apoptosis [240, 241]. By localizing within tumors, NPs intensify double-strand DNA breaks, the most lethal form of damage, thereby increasing tumor specificity and minimizing harm to healthy tissue [242, 243]. They also help overcome hypoxia by improving local oxygenation, making resistant regions more radiosensitive [244]. Additionally, NPs can arrest cancer cells in the G2/M phase, where cells are most vulnerable to radiation, enhancing cytotoxic effects [245, 246]. Together, these effects significantly boost the therapeutic efficacy of NP-enhanced RT.
5.2. Preclinical applications of NPs in RT
Preclinical studies have extensively explored NPs as radiosensitizers to enhance the efficacy of RT in cancer treatment, leveraging their ability to amplify radiation effects through physical, chemical, and biological mechanisms. High-Z elements, such as gold (Z= 79), bismuth (Z = 83), gadolinium (Z = 64), and hafnium (Z = 72), are commonly incorporated into NPs to increase x-ray absorption, leading to enhanced production of secondary electrons, ROS, DNA damage, and cell cycle arrest, ultimately promoting tumor cell death [247]. For example, Hainfeld et al demonstrated that intravenous administration of 1.9 nm gold NPs in mice with subcutaneous EMT-6 mammary tumors, combined with 250 kVp x-ray irradiation, resulted in an 86% 1 year survival rate compared to only 20% with radiation alone [238]. Similarly, gadolinium-based polysiloxane NPs, known as AGuIX, significantly improved survival in preclinical models, including rats with 9L gliosarcomas and mice with melanoma. In gliosarcoma models, treated animals survived on average 72.9 d versus 39 d with radiation alone [248–250]. Hafnium oxide nanoparticles (NBTXR3) have also shown impressive results: Maggiorella et al reported an 82% inhibition of tumor growth in fibrosarcoma xenografts following intratumoral injection and irradiation [251].
In addition to inorganic NPs, drug-loaded formulations have demonstrated radiosensitizing potential. For instance, docetaxel (DOC), a chemotherapeutic agent with radiosensitizing properties, shows limited efficacy on its own. A study developed gelatinase-responsive docetaxel-loaded NPs (DOC-NPs) and found that they significantly enhanced radiosensitivity in gelatinase-overexpressing gastric cancer cells, while sparing normal gastric cells [252]. Overall, these studies underline the ability of NPs to improve tumor targeting through mechanisms such as EPR, active targeting, or local administration, while reducing collateral damage to healthy tissues. Such findings support the potential for clinical translation of NP-based radiosensitizers in cancer therapy.
5.3. Clinical trials of NPs in RT
Building on preclinical successes, NPs have begun to show promise as radiosensitizers in clinical settings. Early trials have primarily focused on safety, tolerability, and efficacy in enhancing RT outcomes, particularly using formulations such as AGuIX (gadolinium-based) and NBTXR3 (hafnium oxide). AGuIX serves both as a radiosensitizer and an MRI contrast agent. Phase 1/2 trials in brain metastases and glioblastoma have shown good tolerability and potential for improved local tumor control. In a phase 1b trial (NCT04094077), AGuIX combined with stereotactic radiotherapy in patients with oligo brain metastases was well tolerated, showing encouraging tumor response [253]. In glioblastoma, the NANO-GBM Phase 1b trial evaluated intravenous AGuIX NPs alongside standard radiotherapy (60 Gy) and temozolomide (TMZ) in eight patients with partially resected tumors. Patients received four AGuIX injections with concomitant and adjuvant TMZ. Only one dose-limiting toxicity occurred (grade 3 lymphopenia, related to TMZ), and no severe toxicities were attributed to AGuIX. MRI imaging confirmed selective accumulation in tumor tissue, and the recommended Phase 2 dose (RP2D) of 100 mg kg−1 was well tolerated, supporting further clinical development [254].
NBTXR3, a hafnium oxide NP activated by RT to induce localized electron emission and tumor cell death, has been evaluated in multiple cancers, including head and neck squamous cell carcinoma (HNSCC), lung cancer, and soft tissue sarcomas. In a phase 1 trial for locally advanced HNSCC (NCT01946867), intratumoral NBTXR3 combined with radiation led to significant tumor shrinkage while preserving function in elderly or comorbid patients, with manageable side effects [255]. Additional phase 1/2 studies, such as NCT04505267 in inoperable lung cancer and NCT03589339 combining NBTXR3 with anti-PD-1 immunotherapy, demonstrated enhanced tumor destruction without increasing toxicity to surrounding tissues, translating into improved response rates and overall survival [256–259].
Overall, these clinical studies underscore the potential of NPs to overcome radioresistance, enhance localized radiation effects, and allow combination with systemic therapies. Ongoing trials, including some approaching phase 3, are investigating dose optimization and broader applicability, although long-term outcomes and wider clinical translation remain areas for future research.
5.4. NPs in SFRT
Combining NPs with MRT at UHDR has transformative potential to improve therapeutic outcomes through enhancing tumor tissue damage while sparing healthy tissues. Early studies used Monte Carlo (MC) simulations to explore the effects of beam and array parameters on biological endpoints such as DNA damage [40, 260, 261]. Gadolinium (Gd) NPs showed dose enhancement in kV beams, especially at 60–70 keV [262]. MC tools like Geant4-DNA, EGSnrc, and TOPAS have since modeled NP effects on dose and DNA damage with reasonable experimental validation [258, 259, 263–265]. MC studies have shown that larger gold NPs (100 nm) and clustering near the nucleus significantly enhanced DNA damage due to increased secondary electron production [263]. Gadolinium NPs produce higher-energy electrons with longer range, and clustering affects dose distribution, though radiosensitization remains effective as predicted by LEM models [266]. Iron-gold heterojunctions with ⩾50% gold content yield stronger DNA damage, especially at low photon energies (∼50 keV), due to enhanced photoelectric effects [266]. Overall, MC simulation is a useful tool for optimizing NP-enhanced MRT, offering insight into dose distribution, NP behavior, and biological effects. These tools can guide future clinical translation. Nevertheless, MC simulation packages still lack accurate models for many fundamental processes in biological systems.
Preclinical studies have shown that MRT delivers high doses to tumors with minimal toxicity to normal tissues in rodents, piglets, and dogs [267–270]. NP integration may further enhance MRT efficacy. Gadolinium-based nanoparticles (GBNs) serve as dual MRI contrast agents and radiosensitizers, improving tumor targeting and survival in rats [271–273]. Theranostic NPs combining gadolinium and bismuth are compatible with CT/MRI-guided RT [272]. Recently, gel dosimeters with silver nitrate were also developed for accurate dose measurement in synchrotron MRT/FLASH RT [274]. Studies using AuNPs, GBNs, and Ta2O5 show enhanced dose delivery, DNA damage, and tumor control, with minimal effects on normal tissue [275–279]. AuNPs accelerated endothelial cell migration and enhanced radiosensitization, especially at 40 keV photon energy [276, 277]. Ta2O5 showed selective cytotoxicity in tumor vs. normal cells under synchrotron beams [278]. In DU145 and A549 cells, AuNPs increased morphological damage post-irradiation, with no effect on normal cells, suggesting selective radiosensitization [278, 279]. GNPs significantly increased gliosarcoma cell sensitivity to 125–150 kVp x-rays, with a SER of 1.43 at 500 μg ml−1 [280]. Together, these studies support MRT combined with NPs as a promising strategy for improved tumor control with reduced side effects.
5.5. Challenges associated with NPs in RT
NPs offer promising enhancements in RT by improving tumor targeting and increasing radiosensitivity, but several interrelated challenges hinder their clinical translation. Ensuring biocompatibility and long-term safety is critical, since some metallic NPs (e.g. gold, silver) can accumulate in organs and may induce oxidative stress or other forms of cellular damage, raising toxicity concerns [281]. At the same time, achieving uniform NP distribution within tumors is difficult: irregular tumor vasculature, elevated interstitial pressure, and variable lymphatic drainage produce heterogeneous intratumoral NP accumulation, which reduces predictability of radiosensitization and complicates treatment outcomes [282]. Manufacturing and regulatory hurdles further impede progress, such as scaling up production while maintaining strict quality, batch-to-batch consistency, and demonstrating safety/efficacy through extensive clinical testing remains complex and costly [283].
The heterogeneity of the EPR effect across tumor types, within lesions, and between patients means that reliance on passive accumulation alone is often insufficient [284]. To improve reproducibility and clinical impact, multiple complementary strategies are under active investigation: (1) rational engineering of NP physicochemical properties (size, shape, surface chemistry and charge) to enhance penetration and retention [285]; (2) active targeting and stimuli-responsive systems (ligands, antibodies, pH/enzymatic or externally triggered release) to increase tumor selectivity [285]; (3) theranostic and image-guided approaches to select patients and lesions with favorable NP uptake in real time (for example, NPs that provide MRI/CT contrast) [286]; and (4) local delivery strategies such as intratumoral injection when systemic EPR is inadequate, an approach already used in clinical studies of locally delivered NP radiosensitizers [287]. Taken together, these avenues, supported by careful preclinical modeling, imaging-led patient selection, and manufacturing standardization, are essential to reduce real-world variability and to enable reproducible, safe integration of NPs into radiotherapy protocols.
6. Summary
SFRT, FLASH RT, and NP‐enhanced RT are techniques under development and active research with potential to spare healthy tissues and improve the effectiveness of RT. Combining them may further enhance their benefits for RT, resulting in an additive or synergistic effect. SFRT delivers non-uniform dose distribution, creating low-dose valley and high-dose peaks, which activate immunological and biological responses other than proliferative cell death induced by conventional RT techniques. FLASH RT delivers UHDR (⩾40 Gy s−1), triggering the ‘FLASH effect’ that reduces normal‐tissue damage. NP‐enhanced RT relies on high‐Z NPs that accumulate in tumors and locally boost dose through generation of high-LET secondary electron emission. When NPs are loaded into SFRT‐targeted areas and irradiated at FLASH dose rates, one may achieve a focused, tumor‐specific dose boost with multiple protective and sensitizing mechanisms working together.
Technologically, SFRT requires high-resolution and high dose rate beams, while FLASH RT needs dedicated accelerators capable of microsecond‐range and ultra‐high‐current pulses. NP integration demands controlled synthesis (size, surface chemistry, targeting ligands) to ensure uniform tumor uptake. Dosimetry is especially challenging: SFRT’s steep dose gradients call for submillimeter detectors (e.g. radiochromic films, microdiamond probes), while FLASH’s extreme dose rates require ultra‐fast detectors. Treatment‐planning systems may incorporate MC models that account for NP‐induced dose enhancements at the nanoscale.
Biologically, SFRT’s spatial heterogeneity might trigger vascular and immunogenic effects; FLASH RT could spare normal cells by modifying free radical production and rapidly depleting oxygen, though exact pathways remain under study; and NP-RT may intensify local DNA damage and possibly modulate the tumor microenvironment. Clinical translation may rely on an interdisciplinary team, including applied and medical physicists, engineers, radiation biologists, material scientists, chemists, and oncologists, to develop and refine the technology of the irradiation systems, standardize dosimetry, optimize NP design, and develop early‐phase trials. An initial focus could be on the combination of SFRT with NP-enhanced RT, building on early studies on MRT and NP, with progressive incorporation of dose-rate effects, including UHDR. Research is ongoing toward developing dedicated radiation sources and beam modifiers, dosimeters, as well as novel NPs to further explore the biological mechanisms of these modalities.
Acknowledgments
Arash Darafsheh would like to acknowledge supports from the Alvin J Siteman Cancer Center through The Foundation for Barnes-Jewish Hospital and the National Cancer Institute (P30 CA091842). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors would like to thank Siteman Cancer Center’s scientific editor, Megan Noonan, PhD, for proof-reading this paper.
Data availability statement
All data that support the findings of this study are included within the article (and any supplementary files).
References
- 1.Bray F, Laversanne M, Sung H, Ferlay J, Siegel R L, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2024;74:229–63. doi: 10.3322/caac.21834. [DOI] [PubMed] [Google Scholar]
- 2.Miller K D, Nogueira L, Devasia T, Mariotto A B, Yabroff K R, Jemal A, Kramer J, Siegel R L. Cancer treatment and survivorship statistics. CA Cancer J. Clin. 2022;72:409–36. doi: 10.3322/caac.21731. [DOI] [PubMed] [Google Scholar]
- 3.Chu D-T, Nguyen T T, Tien N L B, Tran D-K, Jeong J-H, Anh P G, Thanh V V, Truong D T, Dinh T C. Recent progress of stem cell therapy in cancer treatment: molecular mechanisms and potential applications. Cells. 2020;9:563. doi: 10.3390/cells9030563. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Abraham J, Ocen J, Staffurth J. Hormonal therapy for cancer. Medicine. 2023;51:28–31. doi: 10.1016/j.mpmed.2022.10.017. [DOI] [Google Scholar]
- 5.Emens L A, et al. Challenges and opportunities in cancer immunotherapy: a Society for Immunotherapy of Cancer (SITC) strategic vision. J. ImmunoTher. Cancer. 2024;12:e009063. doi: 10.1136/jitc-2024-009063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Institute of Medicine and National Research Council . Advancing Nuclear Medicine through Innovation. The National Academies Press; 2007. [DOI] [PubMed] [Google Scholar]
- 7.Zahavi D, Weiner L. Monoclonal antibodies in cancer therapy. Antibodies. 2020;9:34. doi: 10.3390/antib9030034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Crezee J, Franken N A P, Oei A L. Hyperthermia-based anti-cancer treatments. Cancers. 2021;13:1240. doi: 10.3390/cancers13061240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Kim M M, Darafsheh A. Light sources and dosimetry techniques for photodynamic therapy. Photochem. Photobiol. 2020;96:280–94. doi: 10.1111/php.13219. [DOI] [PubMed] [Google Scholar]
- 10.Atun R, et al. Expanding global access to radiotherapy. Lancet Oncol. 2015;16:1153–86. doi: 10.1016/S1470-2045(15)00222-3. [DOI] [PubMed] [Google Scholar]
- 11.Halperin E C, Wazer D E, Perez C A, Brady L W. Perez & Brady’s Principles and Practice of Radiation Oncology. Lippincott Williams & Wilkins; 2019. [Google Scholar]
- 12.Darafsheh A. Radiation Therapy Dosimetry: A Practical Handbook. CRC Press; 2021. [Google Scholar]
- 13.Hall E J, Giaccia A J. Radiobiology for the Radiologist. LWW; 2018. [Google Scholar]
- 14.Wang K, Tepper J E. Radiation therapy-associated toxicity: etiology, management, and prevention. CA Cancer J. Clin. 2021;71:437–54. doi: 10.3322/caac.21689. [DOI] [PubMed] [Google Scholar]
- 15.Hoeller U, Borgmann K, Oertel M, Haverkamp U, Budach V, Eich H T. Late sequelae of radiotherapy: the effect of technical and conceptual innovations in radiation oncology. Dtsch. Arztebl. Int. 2021;118:205–12. doi: 10.3238/arztebl.m2021.0024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bondy S C. FLASH radiotherapy versus conventional cancer therapy: promises, paradoxes and problems. Int. J. Transl. Med. 2024;4:559–69. doi: 10.3390/ijtm4030038. [DOI] [Google Scholar]
- 17.Yu C X, Amies C J, Svatos M. Planning and delivery of intensity-modulated radiation therapy. Med. Phys. 2008;35:5233–41. doi: 10.1118/1.3002305. [DOI] [PubMed] [Google Scholar]
- 18.Teoh M, Clark C H, Wood K, Whitaker S, Nisbet A. Volumetric modulated arc therapy: a review of current literature and clinical use in practice. Br. J. Radiol. 2011;84:967–96. doi: 10.1259/bjr/22373346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Otto K. Volumetric modulated arc therapy: IMRT in a single gantry arc. Med. Phys. 2008;35:310–7. doi: 10.1118/1.2818738. [DOI] [PubMed] [Google Scholar]
- 20.Bertholet J, Vinogradskiy Y, Hu Y, Carlson D J. Advances in image-guided adaptive radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 2021;110:625–8. doi: 10.1016/j.ijrobp.2021.02.047. [DOI] [PubMed] [Google Scholar]
- 21.Timmerman R D, Xing L. Image-guided and Adaptive Radiation Therapy. Wolters Kluwer | Lippincott Williams & Wilkins; 2009. [Google Scholar]
- 22.Prezado Y, Grams M, Jouglar E, Martínez-Rovira I, Ortiz R, Seco J, Chang S. Spatially fractionated radiation therapy: a critical review on current status of clinical and preclinical studies and knowledge gaps. Phys. Med. Biol. 2024;69:10TR02. doi: 10.1088/1361-6560/ad4192. [DOI] [PubMed] [Google Scholar]
- 23.Vozenin M-C, Bourhis J, Durante M. Towards clinical translation of FLASH radiotherapy. Nat. Rev. Clin. Oncol. 2022;19:791–803. doi: 10.1038/s41571-022-00697-z. [DOI] [PubMed] [Google Scholar]
- 24.Qian X, Peng X-H, Ansari D O, Yin-Goen Q, Chen G Z, Shin D M, Yang L, Young A N, Wang M D, Nie S. In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags. Nat. Biotechnol. 2007;26:83–90. doi: 10.1038/nbt1377. [DOI] [PubMed] [Google Scholar]
- 25.Maeda H, Fang J, Inutsuka T, Kitamoto Y. Vascular permeability enhancement in solid tumor: various factors, mechanisms involved and its implications. Int. Immunopharmacol. 2003;3:319–28. doi: 10.1016/S1567-5769(02)00271-0. [DOI] [PubMed] [Google Scholar]
- 26.Gerken L R H, Gerdes M E, Pruschy M, Herrmann I K. Prospects of nanoparticle-based radioenhancement for radiotherapy. Mater. Horiz. 2023;10:4059–82. doi: 10.1039/D3MH00265A. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Khan F M, Gibbons J P. The Physics of Radiation Therapy. Lippincott Williams & Wilkins; 2014. [Google Scholar]
- 28.Das I J, Paganetti H, editors. Principles and Practice of Proton Beam Therapy. Medical Physics Publishing, Inc; 2015. [Google Scholar]
- 29.DeLaney T F, Kooy H M, editors. Proton and Charged Particle Radiotherapy. LWW; 2007. [Google Scholar]
- 30.Paganetti H, editor. Proton Therapy Physics. 2nd edn. CRC Press; 2019. [Google Scholar]
- 31.Faar J B, Flanz J B, Gerbershagen A, Moyers M F. New horizons in particle therapy systems. Med. Phys. 2018;45:e953–e983. doi: 10.1002/mp.13193. [DOI] [PubMed] [Google Scholar]
- 32.Maradia V, Clasie B, Snively E, Parodi K, Schwarz M, Durante M. Accelerator technologies for proton and ion beam therapy. Nat. Phys. 2025;21:1363–73. doi: 10.1038/s41567-025-02994-7. [DOI] [Google Scholar]
- 33.Thariat J, Hannoun-Levi J-M, Myint A S, Vuong T, Gérard J-P. Past, present, and future of radiotherapy for the benefit of patients. Nat. Rev. Clin. Oncol. 2013;10:52–60. doi: 10.1038/nrclinonc.2012.203. [DOI] [PubMed] [Google Scholar]
- 34.Mohan R, Das I J, Ling C C. Empowering intensity modulated proton therapy through physics and technology—an overview. Int. J. Radiat. Oncol. Biol. Phys. 2017;99:304–16. doi: 10.1016/j.ijrobp.2017.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Yan W, et al. Spatially fractionated radiation therapy: history, present and the future. Clin. Transl. Radiat. Oncol. 2019;20:30–38. doi: 10.1016/j.ctro.2019.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Griffin R J, et al. Understanding high-dose, ultra-high dose rate, and spatially fractionated radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 2020;107:766–78. doi: 10.1016/j.ijrobp.2020.03.028. [DOI] [PubMed] [Google Scholar]
- 37.Kohler A. Theorie einer Methode bisher unmöglich anwendbar hohe Dosen Rontgenstrahlen in der Tiefe des Geweben zur therapeutischen Wirksamkeit zu bringen ohne schwere Schädigung des Patienten, zugleich eine Methode des Schutzes gegen Rontgenverbrennung uberhaupt. Fortschr. a. d. Geb. d. Rontgenstr. 1909;14:27–29. [Google Scholar]
- 38.Laissue J A, Blattmann H, Slatkin D N. Alban Köhler (1874–1947): erfinder der Gittertherapie, Alban Köhler (1874–1947): inventor of grid therapy. Z. Fur Med. Phys. 2012;22:90–99. doi: 10.1016/j.zemedi.2011.07.002. [DOI] [PubMed] [Google Scholar]
- 39.Mohiuddin M M, Curtis D L, Grizos W T, Komarnicky L. Palliative treatment of advanced cancer using multiple nonconfluent pencil beam radiation. A pilot study. Cancer. 1990;66:114–8. doi: 10.1002/1097-0142(19900701)66:1<114::AID-CNCR2820660121>3.0.CO;2-L. [DOI] [PubMed] [Google Scholar]
- 40.Slatkin D N, Spanne P, Dilmanian F A, Sandborg M. Microbeam radiation therapy. Med. Phys. 1992;19:1395–400. doi: 10.1118/1.596771. [DOI] [PubMed] [Google Scholar]
- 41.Ha J K, Zhang G, Naqvi S A, Regine W F, Yu C X. Feasibility of delivering grid therapy using a multileaf collimator. Med. Phys. 2006;33:76–82. doi: 10.1118/1.2140116. [DOI] [PubMed] [Google Scholar]
- 42.Dilmanian F A, Zhong Z, Bacarian T, Benveniste H, Romanelli P, Wang R, Welwart J, Yuasa T, Rosen E M, Anschel D J. Interlaced x-ray microplanar beams: a radiosurgery approach with clinical potential. Proc. Natl Acad. Sci. USA. 2009;103:9709–14. doi: 10.1073/pnas.0603567103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Wu X, et al. The technical and clinical implementation of LATTICE radiation therapy (LRT) Radiat. Res. 2020;194:737–46. doi: 10.1667/RADE-20-00066.1. [DOI] [PubMed] [Google Scholar]
- 44.Prezado Y, Fois G R. Proton-minibeam radiation therapy: a proof of concept. Med. Phys. 2013;40:031712. doi: 10.1118/1.4791648. [DOI] [PubMed] [Google Scholar]
- 45.Suarez J M B, Amendola B E, Perez N, Amendola M, Wu X. The use of lattice radiation therapy (LRT) in the treatment of bulky tumors: a case report of a large metastatic mixed mullerian ovarian tumor. Cureus. 2015;7:e389. doi: 10.7759/cureus.389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Zhang X, Penagaricano J, Yan Y, Liang X, Morrill S, Griffin R J, Corry P, Ratanatharathorn V. Spatially fractionated radiotherapy (GRID) using helical tomotherapy. J. Appl. Clin. Med. Phys. 2016;17:396–407. doi: 10.1120/jacmp.v17i1.5934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Henry T, Ureba A, Valdman A, Siegbahn A. Proton grid therapy: a proof-of-concept study. Technol. Cancer Res. Treat. 2016;16:749–57. doi: 10.1177/1533034616681670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Wright M D, Romanelli P, Bravin A, Le Duc G, Brauer-Krisch E, Requardt H, Bartzsch S, Hlushchuk R, Laissue J-A, Djonov V. Non-conventional ultra-high dose rate (FLASH) microbeam radiotherapy provides superior normal tissue sparing in rat lung compared to non-conventional ultra-high dose rate (FLASH) radiotherapy. Cureus. 2021;13:e19317. doi: 10.7759/cureus.19317. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Craig D J, Nanavaty N S, Devanaboyina M, Stanbery L, Hamouda D, Edelman G, Dworkin L, Nemunaitis J J. The abscopal effect of radiation therapy. Future Oncol. 2021;17:1683–94. doi: 10.2217/fon-2020-0994. [DOI] [PubMed] [Google Scholar]
- 50.Kanagavelu S, Gupta S, Wu X, Philip S, Wattenberg M M, Hodge J W, Couto M D, Chung K D, Ahmed M M. In vivo effects of lattice radiation therapy on local and distant lung cancer: potential role of immunomodulation. Radiat. Res. 2014;182:149–62. doi: 10.1667/RR3819.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Jiang L, et al. Combined high-dose LATTICE radiation therapy and immune checkpoint blockade for advanced bulky tumors: the concept and a case report. Front. Oncol. 2021;10:548132. doi: 10.3389/fonc.2020.548132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Sathishkumar S, Boyanovsky B, Karakashian A A, Rozenova K, Giltiay N V, Kudrimoti M, Mohiuddin M, Ahmed M M, Nikolova-Karakashian M. Elevated sphingomyelinase activity and ceramide concentration in serum of patients undergoing high dose spatially fractionated radiation treatment: implications for endothelial apoptosis. Cancer Biol. Ther. 2005;4:979–86. doi: 10.4161/cbt.4.9.1915. [DOI] [PubMed] [Google Scholar]
- 53.Asur R S, Sharma S, Chang C-W, Penagaricano J, Kommuru I M, Moros E G, Corry P M, Griffin R J. Spatially fractionated radiation induces cytotoxicity and changes in gene expression in bystander and radiation adjacent murine carcinoma cells. Radiat. Res. 2012;177:751–65. doi: 10.1667/RR2780.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Lobachevsky P, Ivashkevich A, Forrester H B, Stevenson A W, Hall C J, Sprung C N, Martin O A. Assessment and implications of scattered microbeam and broadbeam synchrotron radiation for bystander effect studies. Radiat. Res. 2015;184:650–9. doi: 10.1667/RR13720.1. [DOI] [PubMed] [Google Scholar]
- 55.Fukunaga H. Stem cell migration: a possible mechanism for the tissue-sparing effect of spatially fractionated radiation. Radiat. Res. 2021;196:680–5. doi: 10.1667/RADE-21-00134.1. [DOI] [PubMed] [Google Scholar]
- 56.Crosbie J C, et al. Tumor cell response to synchrotron microbeam radiation therapy differs markedly from cells in normal tissues. Int. J. Radiat. Oncol. Biol. Phys. 2010;77:886–94. doi: 10.1016/j.ijrobp.2010.01.035. [DOI] [PubMed] [Google Scholar]
- 57.Zhang H, Mayr N A. Spatially Fractionated, Microbeam and FLASH Radiation Therapy: A Physics and Multi-disciplinary Approach. IOP Publishing Ltd; 2023. [Google Scholar]
- 58.Sheikh K, Hrinivich W T, Bell L A, Moore J A, Laub W, Viswanathan A N, Yan Y, McNutt T R, Meyer J. Comparison of treatment planning approaches for spatially fractionated irradiation of deep tumors. J. Appl. Clin. Med. Phys. 2019;20:125–33. doi: 10.1002/acm2.12617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Grams M P, et al. A dosimetric comparison of lattice, brass, and proton grid therapy treatment plans. Pract. Radiat. Oncol. 2022;12:e442–e452. doi: 10.1016/j.prro.2022.03.005. [DOI] [PubMed] [Google Scholar]
- 60.Marks H. Clinical experience with irradiation through a grid. Radiology. 1952;58:325–480. doi: 10.1148/58.3.338. [DOI] [PubMed] [Google Scholar]
- 61.Loevinger R. Depth dose curves for grids in x-ray therapy. Radiology. 1952;58:325–480. doi: 10.1148/58.3.351. [DOI] [PubMed] [Google Scholar]
- 62.Schültke E, Balosso J, Breslin T, Cavaletti G, Djonov V, Esteve F, Grotzer M, Hildebrandt G, Valdman A, Laissue J. Microbeam radiation therapy—grid therapy and beyond: a clinical perspective. Br. J. Radiol. 2017;90:20170073. doi: 10.1259/bjr.20170073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Mohiuddin M, Stevens J H, Reiff J E, Huq M S, Suntharalingam N. Spatially fractionated (GRID) radiation for palliative treatment of advanced cancer. ”Radiat. Oncol. Investig. 1996;4:41–47. doi: 10.1002/(SICI)1520-6823(1996)4:1<41::AID-ROI7>3.0.CO;2-M. [DOI] [Google Scholar]
- 64.Buckey C, Stathakis S, Cashon K, Gutierrez A, Esquivel C, Shi C, Papanikolaou N. Evaluation of a commercially-available block for spatially fractionated radiation therapy. J. Appl. Clin. Med. Phys. 2010;11:2–11. doi: 10.1120/jacmp.v11i3.3163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Palmans H, Andreo P, Huq M S, Seuntjens J, Christaki K E, Meghzifene A. Dosimetry of small static fields used in external photon beam radiotherapy: summary of TRS-483, the IAEA-AAPM international code of practice for reference and relative dose determination. Med. Phys. 2018;45:e1123–e1145. doi: 10.1002/mp.13208. [DOI] [PubMed] [Google Scholar]
- 66.Mohiuddin M, Lynch C, Gao M, Hartsell W. Early clinical results of proton spatially fractionated GRID radiation therapy (SFGRT) Br. J. Radiol. 2020;93:20190572. doi: 10.1259/bjr.20190572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Halthore A, Fellows Z, Tran A, Deville C, Jr, Wright J L, Meyer J, Li H, Sheikh K. Treatment planning of bulky tumors using pencil beam scanning proton GRID therapy. Int. J. Part. Ther. 2022;9:40–49. doi: 10.14338/IJPT-22-00028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Neuner G, Mohiuddin M M, Vander Walde N, Goloubeva O, Ha J, Yu C X, Regine W F. High-dose spatially fractionated GRID radiation therapy (SFGRT): a comparison of treatment outcomes with Cerrobend vs. MLC SFGRT. Int. J. Radiat. Oncol. Biol. Phys. 2012;82:1642–9. doi: 10.1016/j.ijrobp.2011.01.065. [DOI] [PubMed] [Google Scholar]
- 69.Peñagarícano J A, Moros E G, Ratanatharathorn V, Yan Y, Corry P. Evaluation of spatially fractionated radiotherapy (GRID) and definitive chemoradiotherapy with curative intent for locally advanced squamous cell carcinoma of the head and neck: initial response rates and toxicity. Int. J. Radiat. Oncol. Biol. Phys. 2010;76:1369–75. doi: 10.1016/j.ijrobp.2009.03.030. [DOI] [PubMed] [Google Scholar]
- 70.Reiff J E, Huq M S, Mohiuddin M M, Suntharalingam N. Dosimetric properties of megavoltage grid therapy. Int. J. Radiat. Oncol. Biol. Phys. 1995;33:937–42. doi: 10.1016/0360-3016(95)00114-3. [DOI] [PubMed] [Google Scholar]
- 71.Zhang H, et al. Photon GRID radiation therapy: a physics and dosimetry white paper from the radiosurgery society (RSS) GRID/LATTICE, microbeam and FLASH radiotherapy working group. Radiat. Res. 2020;194:665–77. doi: 10.1667/RADE-20-00047.1. [DOI] [PubMed] [Google Scholar]
- 72.Naqvi S A, Mohiuddin M M, Ha J K, Regine W F. Effects of tumor motion in GRID therapy. Med. Phys. 2008;35:4435–42. doi: 10.1118/1.2977538. [DOI] [PubMed] [Google Scholar]
- 73.Gao M, Mohiuddin M M, Hartsell W F, Pankuch M. Spatially fractionated (GRID) radiation therapy using proton pencil beam scanning (PBS): feasibility study and clinical implementation. Med. Phys. 2018;45:1645–53. doi: 10.1002/mp.12807. [DOI] [PubMed] [Google Scholar]
- 74.Tsubouchi T, Henry T, Ureba A, Valdman A, Bassler N, Siegbahn A. Quantitative evaluation of potential irradiation geometries for carbon-ion beam grid therapy. Med. Phys. 2018;45:1210–21. doi: 10.1002/mp.12749. [DOI] [PubMed] [Google Scholar]
- 75.Fischer J, Whitmore L, Desrosiers C, Sheehy S, Bazalova-Carter M. Very high-energy electrons as radiotherapy opportunity. Eur. Phys. J. Plus. 2024;139:728. doi: 10.1140/epjp/s13360-024-05455-x. [DOI] [Google Scholar]
- 76.Clements N, Esplen N, Bazalova-Carter M. A feasibility study of ultra-high dose rate mini-GRID therapy using very-high-energy electron beams for a simulated pediatric brain case. Phys. Med. 2023;112:102637. doi: 10.1016/j.ejmp.2023.102637. [DOI] [PubMed] [Google Scholar]
- 77.Clements N, Esplen N, Bateman J, Robertson C, Dosanjh M, Korysko P, Farabolini W, Corsini R, Bazalova-Carter M. Mini-GRID radiotherapy on the CLEAR very-high-energy electron beamline: collimator optimization, film dosimetry, and Monte Carlo simulations. Phys. Med. Biol. 2024;69:055003. doi: 10.1088/1361-6560/ad247d. [DOI] [PubMed] [Google Scholar]
- 78.Vittoria Panaino C M, et al. Very high-energy electron therapy toward clinical implementation. Cancers. 2025;17:181. doi: 10.3390/cancers17020181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Amendola B E, Perez N C, Mayr N A, Wu X, Amendola M. Spatially fractionated radiation therapy using lattice radiation in far-advanced bulky cervical cancer: a clinical and molecular imaging and outcome study. Radiat. Res. 2020;194:724–36. doi: 10.1667/RADE-20-00038.1. [DOI] [PubMed] [Google Scholar]
- 80.Borzov E, Bar-Deroma R, Lutsyk M. Physical aspects of a spatially fractionated radiotherapy technique for large soft tissue sarcomas. Phys. Imaging Radiat. Oncol. 2022;22:63–66. doi: 10.1016/j.phro.2022.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Dincer N, Ugurluer G, Korkmaz L, Serkizyan A, Atalar B, Gungor G, Ozyar E. Magnetic resonance imaging-guided online adaptive lattice stereotactic body radiotherapy in voluminous liver metastasis. Cureus. 2022;14:e23980. doi: 10.7759/cureus.23980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Iori F, Botti A, Ciammella P, Cozzi S, Orlandi M, Iori M, Iotti C. How a very large sarcomatoid lung cancer was efficiently managed with lattice radiation therapy: a case report. Ann. Palliat. Med. 2022;11:3555–61. doi: 10.21037/apm-22-246. [DOI] [PubMed] [Google Scholar]
- 83.Duriseti S, et al. LITE SABR M1: a phase I trial of Lattice stereotactic body radiotherapy for large tumors. Radiother. Oncol. 2022;167:317–22. doi: 10.1016/j.radonc.2021.11.023. [DOI] [PubMed] [Google Scholar]
- 84.Ferini G, et al. Impressive results after “Metabolism-Guided” Lattice irradiation in patients submitted to palliative radiation therapy: preliminary results of LATTICE_01 multicenter study. Cancers. 2022;14:3909. doi: 10.3390/cancers14163909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Deufel C, et al. Automated target placement for VMAT lattice radiation therapy: enhancing efficiency and consistency. Phys. Med. Biol. 2024;69:075010. doi: 10.1088/1361-6560/ad2ee8. [DOI] [PubMed] [Google Scholar]
- 86.Zhang W, Lin Y, Wang F, Badkul R, Chen R C, Gao H. Lattice position optimization for LATTICE therapy. Med. Phys. 2023;50:7359–67. doi: 10.1002/mp.16572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Iori F, Cappelli A, D’Angelo E, Cozzi S, Ghersi S F, De Felice F, Ciammella P, Bruni A, Iotti C. Lattice radiation therapy in clinical practice: a systematic review. Clin. Transl. Radiat. Oncol. 2023;39:100569. doi: 10.1016/j.ctro.2022.100569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Duriseti S, Kavanaugh J, Goddu S, Price A, Knutson N, Reynoso F, Michalski J, Mutic S, Robinson C, Spraker M B. Spatially fractionated stereotactic body radiation therapy (Lattice) for large tumors. Adv. Radiat. Oncol. 2021;6:100639. doi: 10.1016/j.adro.2020.100639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Schiff J P, Spraker M B, Duriseti S, Shaikh S, Murad H F, Mutch D G, Robinson C G, Kavanaugh J, Lin A J. Tumor lysis syndrome in a patient with metastatic endometrial cancer treated with lattice stereotactic body radiation therapy. Case Rep. 2021;7:100797. doi: 10.1016/j.adro.2021.100797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Ferini G, Castorina P, Valenti V, Illari S I, Sachpazidis I, Castorina L, Marrale M, Pergolizzi S. A novel radiotherapeutic approach to treat bulky metastases even from cutaneous squamous cell carcinoma: its rationale and a look at the reliability of the linear-quadratic model to explain its radiobiological effects. Front. Oncol. 2022;12:809279. doi: 10.3389/fonc.2022.809279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Deman P, et al. Monochromatic minibeams radiotherapy: from healthy tissue-sparing effect studies toward first experimental glioma bearing rats therapy. Int. J. Radiat. Oncol. Biol. Phys. 2012;82:e693–e700. doi: 10.1016/j.ijrobp.2011.09.013. [DOI] [PubMed] [Google Scholar]
- 92.Prezado Y. Divide and conquer: spatially fractionated radiation therapy. Expert Rev. Mol. Med. 2021;24:1–12. doi: 10.1017/erm.2021.34. [DOI] [Google Scholar]
- 93.Bertho A, et al. First evaluation of temporal and spatial fractionation in proton minibeam radiation therapy of glioma-bearing rats. Cancers. 2021;13:4865. doi: 10.3390/cancers13194865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Prezado Y, et al. Tumor control in RG2 glioma-bearing rats: a comparison between proton minibeam therapy and standard proton therapy. Int. J. Radiat. Oncol. Biol. Phys. 2019;104:266–71. doi: 10.1016/j.ijrobp.2019.01.080. [DOI] [PubMed] [Google Scholar]
- 95.Bertho A, et al. Evaluation of the role of the immune system response after minibeam radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 2023;115:426–39. doi: 10.1016/j.ijrobp.2022.08.011. [DOI] [PubMed] [Google Scholar]
- 96.Sharma S, Narayanasamy G, Przybyla B, Webber J, Boerma M, Clarkso R, Moros E G, Corry P M, Griffin R J. Advanced small animal conformal radiation therapy device. Technol. Cancer Res. Treat. 2016;16:45–56. doi: 10.1177/1533034615626011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Johnson T R, Bassil A M, Williams N T, Brundage S, Kent C L, Palmer G, Mowery Y M, Oldham M. An investigation of kV mini-GRID spatially fractionated radiation therapy: dosimetry and preclinical trial. Phys. Med. Biol. 2022;67:045017. doi: 10.1088/1361-6560/ac508c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Rivera J N, Kierski T M, Kasoji S K, Abrantes A S, Dayton P A, Chang S X. Conventional dose rate spatially-fractionated radiation therapy (SFRT) treatment response and its association with dosimetric parameters-A preclinical study in a Fischer 344 rat model. PLoS One. 2020;15:e0229053. doi: 10.1371/journal.pone.0229053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Yuan H, Rivera J N, Frank J E, Nagel J, Shen C, Chang S X. Mini-beam spatially fractionated radiation therapy for whole-brain re-irradiation—a pilot toxicity study in a healthy mouse model. Radiation. 2024;4:125–41. doi: 10.3390/radiation4020010. [DOI] [Google Scholar]
- 100.Stengl C, Arbes E, Thai L Y J, Echner G, Vedelago J, Jansen J, Jäkel O, Seco J. Development and characterization of a versatile mini-beam collimator for pre-clinical photon beam irradiation. Med. Phys. 2023;50:5222–37. doi: 10.1002/mp.16432. [DOI] [PubMed] [Google Scholar]
- 101.Rezaee M, Iordachita I, Wong J W. Ultrahigh dose-rate (FLASH) x-ray irradiator for pre-clinical laboratory research. Phys. Med. Biol. 2021;66:095006. doi: 10.1088/1361-6560/abf2fa. [DOI] [PubMed] [Google Scholar]
- 102.Prezado Y, et al. Proton minibeam radiation therapy spares normal rat brain: long-term clinical, radiological and histopathological analysis. Sci. Rep. 2017;7:14403. doi: 10.1038/s41598-017-14786-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Dilmanian F A, et al. Interleaved carbon minibeams: an experimental radiosurgery method with clinical potential. Int. J. Radiat. Oncol. Biol. Phys. 2012;84:514–9. doi: 10.1016/j.ijrobp.2011.12.025. [DOI] [PubMed] [Google Scholar]
- 104.De Marzi L, Patriarca A, Nauraye C, Hierso E, Dendale R, Guardiola C, Prezado Y. Implementation of planar proton minibeam radiation therapy using a pencil beam scanning system: a proof of concept study. Med. Phys. 2018;45:5305–16. doi: 10.1002/mp.13209. [DOI] [PubMed] [Google Scholar]
- 105.Schneider T. Technical aspects of proton minibeam radiation therapy: minibeam generation and delivery. Phys. Med. 2022;100:64–71. doi: 10.1016/j.ejmp.2022.06.010. [DOI] [PubMed] [Google Scholar]
- 106.Kundapur V, Mayer M, Auer R N, Alexander A, Weibe S, Pushie M J, Cranmer-Sargison G. Is mini beam ready for human trials? Results of randomized study of treating de-novo brain tumors in canines using linear accelerator generated mini beams. Radiat. Res. 2022;198:162–71. doi: 10.1667/RADE-21-00093.1. [DOI] [PubMed] [Google Scholar]
- 107.Grams M P, et al. Minibeam radiation therapy treatment (MBRT): commissioning and first clinical implementation. Int. J. Radiat. Oncol. Biol. Phys. 2024;120:1423–34. doi: 10.1016/j.ijrobp.2024.06.035. [DOI] [PubMed] [Google Scholar]
- 108.Curtis H J. The use of deuteron microbeam for simulating the biological effects of heavy cosmic-ray particles. Radiat. Res. Supp. 1967;7:250–7. doi: 10.2307/3583718. [DOI] [PubMed] [Google Scholar]
- 109.Slatkin D N, Spanne P, Dilmanian F A, Gebbers J-O, Laissue J A. Subacute neuropathological effects of microplanar beams of x-rays from a synchrotron wiggler. Proc. Natl Acad. Sci. USA. 1995;92:8783–7. doi: 10.1073/pnas.92.19.8783. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.The Australian Synchrotron (available at www.ansto.gov.au/facilities/australian-synchrotron)
- 111.The European Synchrotron Radiation Facility (ESRF) Microbeam radiation therapy (MRT) (available at: www.esrf.fr/home/UsersAndScience/Experiments/CBS/ID17/mrt-1.html)
- 112.Fukunaga H, Butterworth K T, McMahon S J, Prise K M. A brief overview of the preclinical and clinical radiobiology of microbeam radiotherapy. Clin. Oncol. 2021;33:705–12. doi: 10.1016/j.clon.2021.08.011. [DOI] [PubMed] [Google Scholar]
- 113.Fernandez-Palomo C, Fazzari J, Trappetti V, Smyth L, Janka H, Laissue J, Djonov V. Animal models in microbeam radiation therapy: a scoping review. Cancers. 2020;12:527. doi: 10.3390/cancers12030527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Potez M, Fernandez-Palomo C, Bouchet A, Trappetti V, Donzelli M, Krisch M, Laissue J, Volarevic V, Djonov V. Synchrotron microbeam radiation therapy as a new approach for the treatment of radioresistant melanoma: potential underlying mechanisms. Int. J. Radiat. Oncol. Biol. Phys. 2019;105:1126–36. doi: 10.1016/j.ijrobp.2019.08.027. [DOI] [PubMed] [Google Scholar]
- 115.Fernandez-Palomo C, Trappetti V, Potez M, Pellicioli P, Krisch M, Laissue J, Djonov V. Complete remission of mouse melanoma after temporally fractionated microbeam radiotherapy. Cancers. 2020;12:2656. doi: 10.3390/cancers12092656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Dilmanian F A, Morris G M, Zhong N, Bacarian T, Hainfeld J F, Kalef-Ezra J, Brewington L J, Tammam J, Rosen E M. Murine EMT-6 carcinoma: high therapeutic efficacy of microbeam radiation therapy. Radiat. Res. 2003;159:632–41. doi: 10.1667/0033-7587(2003)159[0632:MECHTE]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
- 117.Miura M, Blattmann H, Bräuer-Krisch E, Bravin A, Hanson A L, Nawrocky M M, Micca P L, Slatkin D N, Laissue J A. Radiosurgical palliation of aggressive murine SCCVII squamous cell carcinomas using synchrotron-generated x-ray microbeams. Br. J. Radiol. 2006;79:71–75. doi: 10.1259/bjr/50464795. [DOI] [PubMed] [Google Scholar]
- 118.Fazzari J, et al. Spatially fractionated minibeam radiation delivered at clinically feasible dose rates induces transient vascular permeability. Sci. Rep. 2025;15:8210. doi: 10.1038/s41598-025-87395-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Potez M, et al. Microbeam radiation therapy opens a several days’ vessel permeability window for small molecules in brain tumor vessels. Int. J. Radiat. Oncol. Biol. Phys. 2024;119:1506–16. doi: 10.1016/j.ijrobp.2024.02.007. [DOI] [PubMed] [Google Scholar]
- 120.Bouchet A, Sakakini N, Atifi M E, Le Clec’h C, Brauer E, Moisan A, Deman P, Rihet P, Le Duc G, Pelletier L. Early gene expression analysis in 9L orthotopic tumor-bearing rats identifies immune modulation in molecular response to synchrotron microbeam radiation therapy. PLoS One. 2013;8:e81874. doi: 10.1371/journal.pone.0081874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Yang Y, Crosbie J C, Paiva P, Ibahim M, Stevenson A, Rogers P A W. In vitro study of genes and molecular pathways differentially regulated by synchrotron microbeam radiotherapy. Radiat. Res. 2014;182:626–39. doi: 10.1667/RR13778.1. [DOI] [PubMed] [Google Scholar]
- 122.Yang Y, Swierczak A, Ibahim M, Paiva P, Cann L, Stevenson A W, Crosbie J C, Anderson R L, Rogers P A W. Synchrotron microbeam radiotherapy evokes a different early tumor immunomodulatory response to conventional radiotherapy in EMT6.5 mammary tumors. Radiother. Oncol. 2019;133:93–99. doi: 10.1016/j.radonc.2019.01.006. [DOI] [PubMed] [Google Scholar]
- 123.Fernandez-Palomo C, Mothersill C, Bräuer-Krisch E, Laissue J, Seymour C, Schültke E. γ-H2AX as a marker for dose deposition in the brain of wistar rats after synchrotron microbeam radiation. PLoS One. 2015;10:e0119924. doi: 10.1371/journal.pone.0119924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Dilmanian F A, Qu Y, Feinendegen L E, Peña L A, Bacarian T, Henn F A, Kalef-Ezra J, Liu S, Zhong Z, McDonald J W. Tissue-sparing effect of x-ray microplanar beams particularly in the CNS: is a bystander effect involved? Exp. Hematol. 2007;35:69–77. doi: 10.1016/j.exphem.2007.01.014. [DOI] [PubMed] [Google Scholar]
- 125.Serduc R, et al. High-precision radiosurgical dose delivery by interlaced microbeam arrays of high-flux low-energy synchrotron x-rays. PLoS One. 2010;5:e9028. doi: 10.1371/journal.pone.0009028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Fernandez-Palomo C, Chang S, Prezado Y. Should peak dose be used to prescribe spatially fractionated radiation therapy?-A review of preclinical studies. Cancers. 2022;14:3625. doi: 10.3390/cancers14153625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Manchado de Sola F, Vilches M, Prezado Y, Lallena A M. Impact of cardiosynchronous brain pulsations on Monte Carlo calculated doses for synchrotron micro- and minibeam radiation therapy. Med. Phys. 2018;45:3379–90. doi: 10.1002/mp.12973. [DOI] [PubMed] [Google Scholar]
- 128.Duncan M, Donzelli M, Pellicioli P, Brauer-Krisch E, Davis J A, Lerch M L F, Rosenfeld A B, Petasecca M. First experimental measurement of the effect of cardio-synchronous brain motion on the dose distribution during microbeam radiation therapy. Med. Phys. 2020;47:213–22. doi: 10.1002/mp.13899. [DOI] [PubMed] [Google Scholar]
- 129.Montay-Gruel P, Corde S, Laissue J A, Bazalova-Carter M. FLASH radiotherapy with photon beams. Med. Phys. 2022;49:2055–67. doi: 10.1002/mp.15222. [DOI] [PubMed] [Google Scholar]
- 130.Schneider T, Fernandez-Palomo C, Bertho A, Fazzari J, Iturri L, Martin O A, Trappetti V, Djonov V, Prezado Y. Combining FLASH and spatially fractionated radiation therapy: the best of both worlds. Radiother. Oncol. 2022;175:169–77. doi: 10.1016/j.radonc.2022.08.004. [DOI] [PubMed] [Google Scholar]
- 131.Farr J B, Parodi K, Carlson D J. FLASH: current status and the transition to clinical use. Med. Phys. 2022;49:1972–3. doi: 10.1002/mp.15401. [DOI] [PubMed] [Google Scholar]
- 132.Gao Y, Liu R, Chang C-W, Charyyev S, Zhou J, Bradley J D, Liu T, Yang X. A potential revolution in cancer treatment: a topical review of FLASH radiotherapy. J. Appl. Clin. Med. Phys. 2022;23:e13790. doi: 10.1002/acm2.13790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Schwarz M, Traneus E, Safai S, Kolano A, van de Water S. Treatment planning for Flash radiotherapy: general aspects and applications to proton beams. Med. Phys. 2022;49:2861–74. doi: 10.1002/mp.15579. [DOI] [PubMed] [Google Scholar]
- 134.Kim M M, Zou W. Ultra-high dose rate FLASH radiation therapy for cancer. Med. Phys. 2023;50:58–61. doi: 10.1002/mp.16271. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Di Martino F, Scifoni E, Patera V, Montay-Gruel P, Romano F, Darafsheh A, Tozzini V. Multidisciplinary approaches to the FLASH radiotherapy. Front. Phys. 2024;12:1439081. doi: 10.3389/fphy.2024.1439081. [DOI] [Google Scholar]
- 136.Town C D. Effect of high dose rates on survival of mammalian cells. Nature. 1967;215:847–8. doi: 10.1038/215847a0. [DOI] [PubMed] [Google Scholar]
- 137.Berry R J, Hall E J. Survival of mammalian cells exposed to x-rays at ultra-high dose-rates. Br. J. Radiol. 1969;42:102–7. doi: 10.1259/0007-1285-42-494-102. [DOI] [PubMed] [Google Scholar]
- 138.Favaudon V, et al. Ultrahigh dose-rate FLASH irradiation increases the differential response between normal and tumor tissue in mice. Sci. Transl. Med. 2014;6:245ra93. doi: 10.1126/scitranslmed.3008973. [DOI] [PubMed] [Google Scholar]
- 139.Friedl A A, Prise K M, Butterworth K T, Montay-Gruel P, Favaudon V. Radiobiology of the FLASH effect. Med. Phys. 2022;49:1993–2013. doi: 10.1002/mp.15184. [DOI] [PubMed] [Google Scholar]
- 140.Limoli C L, Vozenin M-C. Reinventing radiobiology in the light of FLASH radiotherapy. Annu. Rev. Cancer Biol. 2023;7:1–23. doi: 10.1146/annurev-cancerbio-061421-022217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Petersson K, Adrian G, Butterworth K, McMahon S J. A quantitative analysis of the role of oxygen tension in FLASH radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 2020;107:539–47. doi: 10.1016/j.ijrobp.2020.02.634. [DOI] [PubMed] [Google Scholar]
- 142.Labarbe R, Hotoiu L, Barbier J, Favaudon V. A physicochemical model of reaction kinetics supports peroxyl radical recombination as the main determinant of the FLASH effect. Radiother. Oncol. 2020;153:303–10. doi: 10.1016/j.radonc.2020.06.001. [DOI] [PubMed] [Google Scholar]
- 143.Guo Z, Buonanno M, Harken A, Zhou G, Hei T K. Mitochondrial damage response and fate of normal cells exposed to FLASH irradiation with protons. Radiat. Res. 2022;197:569–82. doi: 10.1667/RADE-21-00181.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Bertho A, Iturri L, Prezado Y. Radiation-induced immune response in novel radiotherapy approaches FLASH and spatially fractionated radiotherapies. Int. Rev. Cell Mol. Biol. 2023;376:37–68. doi: 10.1016/bs.ircmb.2022.11.005. [DOI] [PubMed] [Google Scholar]
- 145.Dokic I, et al. Neuroprotective effects of ultra-high dose rate FLASH Bragg peak proton irradiation. Int. J. Radiat. Oncol. Biol. Phys. 2022;113:614–23. doi: 10.1016/j.ijrobp.2022.02.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Romano F, Bailat C, Jorge P G, Lerch M L F, Darafsheh A. Ultra-high dose rate dosimetry: challenges and opportunities for FLASH radiation therapy. Med. Phys. 2022;49:4912–32. doi: 10.1002/mp.15649. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Darafsheh A, Hao Y, Zwart T, Wagner M, Catanzano D, Williamson J F, Knutson N, Sun B, Mutic S, Zhao T. Feasibility of proton FLASH irradiation using a synchrocyclotron for preclinical studies. Med. Phys. 2020;47:4348–55. doi: 10.1002/mp.14253. [DOI] [PubMed] [Google Scholar]
- 148.Darafsheh A, Goddu S M, Williamson J F, Zhang T, Sobotka L G. Radioluminescence dosimetry in modern radiation therapy. Adv. Photon. Res. 2024;5:2300350. doi: 10.1002/adpr.202300350. [DOI] [Google Scholar]
- 149.Schüler E, Acharya M M, Montay-Gruel P, Loo B W, Jr, Vozenin M C. Ultra-high dose rate electron beams and the FLASH effect: from preclinical evidence to a new radiotherapy paradigm. Med. Phys. 2022;49:2082–95. doi: 10.1002/mp.15442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Rahman M, et al. Electron FLASH delivery at treatment room isocenter for efficient reversible conversion of a clinical LINAC. Int. J. Radiat. Oncol. Biol. Phys. 2021;110:872–82. doi: 10.1016/j.ijrobp.2021.01.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Schuler E, Trovati S, King G, Lartey F, Rafat M, Villegas M, Praxel A J, Loo B W, Jr, Maxim P G. Experimental platform for ultra-high dose rate FLASH irradiation of small animals using a clinical linear accelerator. Int. J. Radiat. Oncol. Biol. Phys. 2017;97:195–203. doi: 10.1016/j.ijrobp.2016.09.018. [DOI] [PubMed] [Google Scholar]
- 152.Lempart M, Blad B, Adrian G, Bäck S, Knöös T, Ceberg C, Petersson K. Modifying a clinical linear accelerator for delivery of ultra-high dose rate irradiation. Radiother. Oncol. 2019;139:40–45. doi: 10.1016/j.radonc.2019.01.031. [DOI] [PubMed] [Google Scholar]
- 153.Montay-Gruel P, et al. X-rays can trigger the FLASH effect: ultra-high dose-rate synchrotron light source prevents normal brain injury after whole brain irradiation in mice. Radiother. Oncol. 2018;129:582–8. doi: 10.1016/j.radonc.2018.08.016. [DOI] [PubMed] [Google Scholar]
- 154.Cecchi D D, Therriault-Proulx F, Lambert-Girard S, Hart A, Macdonald A, Pfleger M, Lenckowski M, Bazalova-Carter M. Characterization of an x-ray tube-based ultrahigh dose-rate system for in vitro irradiations. Med. Phys. 2021;48:7399–409. doi: 10.1002/mp.15234. [DOI] [PubMed] [Google Scholar]
- 155.Tajik Mansoury M-A, Sforza D, Wong J, Iordachita I, Rezaee M. Dosimetric commissioning of small animal FLASH radiation research platform. Phys. Med. Biol. 2025;70:115015. doi: 10.1088/1361-6560/add641. [DOI] [PubMed] [Google Scholar]
- 156.Tan Y, Zhou S, Haefner J, Chen Q, Mazur T R, Darafsheh A, Zhang T. A novel small animal FLASH irradiator (SAFI) based on distributed kV x-ray sources. Sci. Rep. 2023;13:20181. doi: 10.1038/s41598-023-47421-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.Kim M M, Darafsheh A, Schuemann J, Dokic I, Lundh O, Zhao T, Ramos-méndez J, Dong L, Petersson K. Development of ultra-high dose rate (FLASH) particle therapy. IEEE Trans. Radiat. Plasma Med. Sci. 2022;6:252–62. doi: 10.1109/TRPMS.2021.3091406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158.Darafsheh A, Hao Y, Zhao X, Zwart T, Wagner M, Tucker E, Reynoso F, Zhao T. Spread-out Bragg peak proton FLASH irradiation using a clinical synchrocyclotron: proof of concept and ion chamber characterization. Med. Phys. 2021;48:4472–84. doi: 10.1002/mp.15021. [DOI] [PubMed] [Google Scholar]
- 159.Diffenderfer E S, Sørensen B S, Mazal A, Carlson D J. The current status of preclinical proton FLASH radiation and future directions. Med. Phys. 2022;49:2039–54. doi: 10.1002/mp.15276. [DOI] [PubMed] [Google Scholar]
- 160.Farr J B, Grilj V, Malka V, Sudharsan S, Schippers M. Ultra-high dose rate radiation production and delivery systems intended for FLASH. Med. Phys. 2022;49:4875–911. doi: 10.1002/mp.15659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Daugherty E C, et al. FLASH radiotherapy for the treatment of symptomatic bone metastases in the thorax (FAST-02): protocol for a prospective study of a novel radiotherapy approach. Radiat. Oncol. 2024;19:34. doi: 10.1186/s13014-024-02419-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Verhaegen F, Wanders R-G, Wolfs C, Eekers D. Considerations for shoot-through FLASH proton therapy. Phys. Med. Biol. 2021;66:06NT01. doi: 10.1088/1361-6560/abe55a. [DOI] [PubMed] [Google Scholar]
- 163.Kneepkens E, Wolfs C, Wanders R-G, Traneus E, Eekers D, Verhaegen F. Shoot-through proton FLASH irradiation lowers linear energy transfer in organs at risk for neurological tumors and is robust against density variations. Phys. Med. Biol. 2023;68:215020. doi: 10.1088/1361-6560/ad0280. [DOI] [PubMed] [Google Scholar]
- 164.Deffet S, Hamaide V, Sterpin E. Definition of dose rate for FLASH pencil-beam scanning proton therapy: a comparative study. Med. Phys. 2023;50:5784–92. doi: 10.1002/mp.16607. [DOI] [PubMed] [Google Scholar]
- 165.Folkerts M M, Abel E, Busold S, Perez J R, Krishnamurthi V, Ling C C. A framework for defining FLASH dose rate for pencil beam scanning. Med. Phys. 2020;47:6396–404. doi: 10.1002/mp.14456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.van de Water S, Safai S, Schippers J M, Weber D C, Lomax A J. Towards FLASH proton therapy: the impact of treatment planning and machine characteristics on achievable dose rates. Acta Oncol. 2019;58:1463–9. doi: 10.1080/0284186X.2019.1627416. [DOI] [PubMed] [Google Scholar]
- 167.Darafsheh A, Bey A. Implementation of a proton FLASH platform for pre-clinical studies using a gantry-mounted synchrocyclotron. Phys. Med. Biol. 2025;70:105008. doi: 10.1088/1361-6560/add106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Almond P R, Biggs P J, Coursey B M, Hanson W F, Saiful Huq M, Nath R, Rogers D W O. AAPM’s TG-51 protocol for clinical reference dosimetry of high-energy photon and electron beams. Med. Phys. 1999;26:1847–70. doi: 10.1118/1.598691. [DOI] [PubMed] [Google Scholar]
- 169.Ma C-M, Coffey C W, DeWerd L A, Liu C, Nath R, Seltzer S M, Seuntjens J P. AAPM protocol for 40–300 kV x-ray beam dosimetry in radiotherapy and radiobiology. Med. Phys. 2001;28:868–93. doi: 10.1118/1.1374247. [DOI] [PubMed] [Google Scholar]
- 170.Andreo P, Burns D T, Hohlfeld K, Huq M S, Kanai T, Laitano F, Smyth V G, Vynckier S. Absorbed dose determination in external beam radiotherapy: an international code of practice for dosimetry based on standards of absorbed dose to water. IAEA Technical Reports Series No. 398 2006
- 171.Subiel A, Romano F. Recent developments in absolute dosimetry for FLASH radiotherapy. Br. J. Radiol. 2023;96:20220560. doi: 10.1259/bjr.20220560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172.Ashraf M R, Rahman M, Zhang R, Williams B B, Gladstone D J, Pogue B W, Bruza P. Dosimetry for FLASH radiotherapy: a review of tools and the role of radioluminescence and Cherenkov emission. Front. Phys. 2020;8:328. doi: 10.3389/fphy.2020.00328. [DOI] [Google Scholar]
- 173.Smith B R, DeWerd L A. Ionization chamber instrumentation. In: Darafsheh A, editor. Radiation Therapy Dosimetry: A Practical Handbook. CRC Press; 2021. pp. 19–30. ch 2. [Google Scholar]
- 174.Zou W, et al. Characterization of a high-resolution 2D transmission ion chamber for independent validation of proton pencil beam scanning of conventional and FLASH dose delivery. Med. Phys. 2021;48:3948–57. doi: 10.1002/mp.14882. [DOI] [PubMed] [Google Scholar]
- 175.Zhou S, et al. Proton 3D dose measurement with a multi-layer strip ionization chamber (MLSIC) device. Phys. Med. Biol. 2024;69:135010. doi: 10.1088/1361-6560/ad550f. [DOI] [PubMed] [Google Scholar]
- 176.Zhou S, et al. Three‐dimensional proton FLASH dose rate measurement at high spatiotemporal resolution using a novel multi‐layer strip ionization chamber (MLSIC) device. Med. Phys. 2025;52:e70033. doi: 10.1002/mp.70033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Andreo P, Burns D T, Nahum A E, Seuntjens J, Attix F H. Fundamentals of Ionizing Radiation Dosimetry. Wiley-VCH Verlag GmbH & Co; 2017. [Google Scholar]
- 178.Karsch L, Beyreuther E, Burris-Mog T, Kraft S, Richter C, Zeil K, Pawelke J. Dose rate dependence for different dosimeters and detectors: TLD, OSL, EBT films, and diamond detectors. Med. Phys. 2012;39:2447–55. doi: 10.1118/1.3700400. [DOI] [PubMed] [Google Scholar]
- 179.Angelou C, Patallo I S, Doherty D, Romano F, Schettino G. A review of diamond dosimeters in advanced radiotherapy techniques. Med. Phys. 2024;51:9230–49. doi: 10.1002/mp.17370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Darafsheh A. Scintillation fiber optic dosimetry. In: Darafsheh A, editor. Radiation Therapy Dosimetry: a Practical Handbook. CRC Press; 2021. pp. 123–37. ch 9. [Google Scholar]
- 181.Goddu S M, Hao Y, Ji Z, Setianegara J, Liu F, Green W, Sobotka L G, Zhao T, Perkins S, Darafsheh A. High spatiotemporal resolution scintillation imaging of pulsed pencil beam scanning proton beams produced by a gantry-mounted synchrocyclotron. Med. Phys. 2024;51:4996–5006. doi: 10.1002/mp.17116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Goddu S M, Westphal G T, Sun B, Wu Y, Bloch C D, Bradley J D, Darafsheh A. Synchronized high-speed scintillation imaging of proton beams, generated by a gantry-mounted synchrocyclotron, on a pulse-by-pulse basis. Med. Phys. 2022;49:6209–20. doi: 10.1002/mp.15826. [DOI] [PubMed] [Google Scholar]
- 183.Darafsheh A, Melzer J E, Harrington J A, Kassaee A, Finlay J C. Radiotherapy fiber dosimeter probes based on silver-only coated hollow glass waveguides. J. Biomed. Opt. 2018;23:015006. doi: 10.1117/1.JBO.23.1.015006. [DOI] [PubMed] [Google Scholar]
- 184.Darafsheh A, Zhang R, Kanick S C, Pogue B W, Finlay J C. Spectroscopic separation of Čerenkov radiation in high-resolution radiation fiber dosimeters. J. Biomed. Opt. 2015;20:095001. doi: 10.1117/1.JBO.20.9.095001. [DOI] [PubMed] [Google Scholar]
- 185.Darafsheh A, Taleei R, Kassaee A, Finlay J C. Proton therapy dosimetry using the scintillation of the silica fibers. Opt. Lett. 2017;42:847–50. doi: 10.1364/OL.42.000847. [DOI] [PubMed] [Google Scholar]
- 186.Darafsheh A, Taleei R, Kassaee A, Finlay J C. The visible signal responsible for proton therapy dosimetry using bare optical fibers is not Čerenkov radiation. Med. Phys. 2016;43:5973–80. doi: 10.1118/1.4964453. [DOI] [PubMed] [Google Scholar]
- 187.Hachadorian R L, Tendler I I, Pogue B W. Cherenkov and scintillation imaging dosimetry. In: Darafsheh A, editor. Radiation Therapy Dosimetry: A Practical Handbook. CRC Press; 2021. pp. 139–50. ch 10. [Google Scholar]
- 188.Darafsheh A. On energy dependency, spectral properties, and orientation dependency of EBT3, EBT-XD, MD-V3, and HD-V2 radiochromic films. Phys. Med. Biol. 2025;70:085015. doi: 10.1088/1361-6560/adcafc. [DOI] [PubMed] [Google Scholar]
- 189.Mossahebi S, Hoshyar N, Khan R, Darafsheh A. Film dosimetry. In: Darafsheh A, editor. Radiation Therapy Dosimetry: A Practical Handbook. CRC Press; 2021. pp. 61–74. ch 5. [Google Scholar]
- 190.León-Marroquín E Y, Mulrow D J, Darafsheh A, Khan R. Response characterization of EBT-XD radiochromic films in megavoltage photon and electron beams. Med. Phys. 2019;46:4246–56. doi: 10.1002/mp.13708. [DOI] [PubMed] [Google Scholar]
- 191.León-Marroquín E Y, Mulrow D J, Khan R, Darafsheh A. Spectral analysis of the EBT3 radiochromic films for clinical photon and electron beams. Med. Phys. 2019;46:973–82. doi: 10.1002/mp.13330. [DOI] [PubMed] [Google Scholar]
- 192.Darafsheh A, León-Marroquín E Y, Mulrow D, Baradaran-Ghahfarokhi M, Zhao T, Khan R. On the spectral characterization of radiochromic films irradiated with clinical proton beams. Phys. Med. Biol. 2019;64:135016. doi: 10.1088/1361-6560/ab23cd. [DOI] [PubMed] [Google Scholar]
- 193.Darafsheh A, Zhao T, Khan R. Spectroscopic analysis of EBT-XD radiochromic films irradiated with proton and photon therapy beams. Phys. Med. Biol. 2020;65:205002. doi: 10.1088/1361-6560/aba28e. [DOI] [PubMed] [Google Scholar]
- 194.Christensen J B, Togno M, Nesteruk K P, Psoroulas S, Meer D, Weber D C, Lomax T, Yukihara E G, Safai S. Al2O3:C optically stimulated luminescence dosimeters (OSLDs) for ultra-high dose rate proton dosimetry. Phys. Med. Biol. 2021;66:085003. doi: 10.1088/1361-6560/abe554. [DOI] [PubMed] [Google Scholar]
- 195.Montay-Gruel P, et al. Hypofractionated FLASH-RT as an effective treatment against glioblastoma that reduces neurocognitive side effects in mice. Clin. Cancer Res. 2021;27:775–84. doi: 10.1158/1078-0432.CCR-20-0894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Abel E, et al. Characterization of radiation-induced lung fibrosis and mode of cell death using single and multi-pulsed proton flash irradiation. Int. J. Radiat. Oncol. Biol. Phys. 2019;105:E652–3. doi: 10.1016/j.ijrobp.2019.06.1033. [DOI] [Google Scholar]
- 197.Fouillade C, et al. FLASH irradiation spares lung progenitor cells and limits the incidence of radio-induced senescence. Clin. Cancer Res. 2020;26:1497–506. doi: 10.1158/1078-0432.CCR-19-1440. [DOI] [PubMed] [Google Scholar]
- 198.Kim K, et al. FLASH proton radiation therapy mitigates inflammatory and fibrotic pathways and preserves cardiac function in a preclinical mouse model of radiation-induced heart disease. Int. J. Radiat. Oncol. Biol. Phys. 2024;119:1234–47. doi: 10.1016/j.ijrobp.2024.01.224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Bley C R, et al. Dose- and volume-limiting late toxicity of FLASH radiotherapy in cats with squamous cell carcinoma of the nasal planum and in mini pigs. Clin. Cancer Res. 2022;28:3814–23. doi: 10.1158/1078-0432.CCR-22-0262. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200.Levy K, et al. Abdominal FLASH irradiation reduces radiation-induced gastrointestinal toxicity for the treatment of ovarian cancer in mice. Sci. Rep. 2020;10:21600. doi: 10.1038/s41598-020-78017-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Bell B I, et al. Whole abdominal pencil beam scanned proton FLASH increases acute lethality. Int. J. Radiat. Oncol. Biol. Phys. 2025;121:493–505. doi: 10.1016/j.ijrobp.2024.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Liu J, Zhou G, Pei H. The clinical prospect of FLASH radiotherapy. Radiat. Med. Prot. 2023;4:190–6. doi: 10.1016/j.radmp.2023.10.005. [DOI] [Google Scholar]
- 203.Miles D, Sforza D, Cano M, Peterson C, Gabrielson K, Wong J W, Handa J, Rezaee M. A feasibility study of preclinical ocular x-ray FLASH radiation therapy. Int. J. Radiat. Oncol. Biol. Phys. 2025 doi: 10.1016/j.ijrobp.2025.06.3883. accepted. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Miles D, et al. FLASH effects induced by orthovoltage x-rays. Int. J. Radiat. Oncol. Biol. Phys. 2023;117:1018–27. doi: 10.1016/j.ijrobp.2023.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205.Rothwell B, Lowe M, Traneus E, Krieger M, Schuemann J. Treatment planning considerations for the development of FLASH proton therapy. Radiother. Oncol. 2022;175:222–30. doi: 10.1016/j.radonc.2022.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Buonanno M, Grilj V, Brenner D J. Biological effects in normal cells exposed to FLASH dose rate protons. Radiother. Oncol. 2019;139:51–55. doi: 10.1016/j.radonc.2019.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.van Marlen P, Verbakel W F A R, Slotman B J, Dahele M. Single-fraction 34 Gy lung stereotactic body radiation therapy using proton transmission beams: FLASH-dose. Adv. Radiat. Oncol. 2022;7:100954. doi: 10.1016/j.adro.2022.100954. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.McGarrigle J M, Long K R, Prezado Y. The FLASH effect—an evaluation of preclinical studies of ultra-high dose rate radiotherapy. Front. Oncol. 2024;14:1340190. doi: 10.3389/fonc.2024.1340190. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Cengel K, Kim M M, Diffenderfer E S, Busch T M. FLASH radiotherapy: what can FLASH’s ultra high dose rate offer to the treatment of patients with sarcoma? Sem. Radiat. Oncol. 2024;34:218–28. doi: 10.1016/j.semradonc.2024.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 210.Børresen B, Arendt M L, Konradsson E, Jensen K B, Bäck S Å, Munck Af Rosenschöld P, Ceberg C, Petersson K. Evaluation of single-fraction high dose FLASH radiotherapy in a cohort of canine oral cancer patients. Front. Oncol. 2023;13:1256760. doi: 10.3389/fonc.2023.1256760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Gjaldbæk B W, Arendt M L, Konradsson E, Bastholm Jensen K, Bäck S Å J, Munck Af Rosenschöld P, Ceberg C, Petersson K, Børresen B. Long-term toxicity and efficacy of FLASH radiotherapy in dogs with superficial malignant tumors. Front. Oncol. 2024;14:1425240. doi: 10.3389/fonc.2024.1425240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Department of Medical Physics, University of Wisconsin School of Medicine and Public Health First-of-its-kind FLASH radiation therapy trial begins at UW-Madison. 2025. (available at: https://medphysics.wisc.edu/news/first-of-its-kind-flash-radiation-therapy-trial-begins-at-uw-madison/)
- 213.Bourhis J, et al. Treatment of a first patient with FLASH-radiotherapy. Radiother. Oncol. 2019;139:18–22. doi: 10.1016/j.radonc.2019.06.019. [DOI] [PubMed] [Google Scholar]
- 214.Mascia A E, et al. Proton FLASH radiotherapy for the treatment of symptomatic bone metastases, the FAST-01 nonrandomized trial. JAMA Oncol. 2023;9:62–69. doi: 10.1001/jamaoncol.2022.5843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215.Varian, a Siemens Healthineers company Varian completes enrollment and treatment in FAST-02 clinical trial of flash therapy in treating thoracic bone metastases. 2025. (available at: www.varian.com/about-varian/newsroom/press-releases/varian-completes-enrollment-and-treatment-fast-02-clinical)
- 216.Jorge P G, Grilj V, Bourhis J, Vozenin M C, Germond J F, Bochud F, Bailat C, Moeckli R. Technical note: validation of an ultrahigh dose rate pulsed electron beam monitoring system using a current transformer for FLASH preclinical studies. Med. Phys. 2022;49:1831–8. doi: 10.1002/mp.15474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217.Böhlen T T, et al. Very high-energy electron therapy as light-particle alternative to transmission proton FLASH therapy—an evaluation of dosimetric performances. Radiother. Oncol. 2024;194:110177. doi: 10.1016/j.radonc.2024.110177. [DOI] [PubMed] [Google Scholar]
- 218.Ronga M G, Cavallone M, Patriarca A, Leite A M, Loap P, Favaudon V, Créhange G, De Marzi L. Back to the future: very high-energy electrons (VHEEs) and their potential application in radiation therapy. Cancers. 2021;13:4942. doi: 10.3390/cancers13194942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219.Small K L, et al. Evaluating very high energy electron RBE from nanodosimetric pBR322 plasmid DNA damage. Sci. Rep. 2021;11:3341. doi: 10.1038/s41598-021-82772-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Šagátová A, Fülöp M, Pavlovič M, Sedlačková K, Nečas V. Electron-beam accelerator with conversion to x-rays: optimal radiation type according to application. Radiat. Phys. Chem. 2020;172:108789. doi: 10.1016/j.radphyschem.2020.108789. [DOI] [Google Scholar]
- 221.Yang X-X, Luo H, Zhang J-J, Ge H, Ge L. Clinical translation of ultra-high dose rate flash radiotherapy: opportunities, challenges, and prospects. World J. Radiol. 2025;17:105722. doi: 10.4329/wjr.v17.i4.105722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Valdés Zayas A, et al. Independent reproduction of the FLASH effect on the gastrointestinal tract: a multi-institutional comparative study. Cancers. 2023;15:2121. doi: 10.3390/cancers15072121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Palmiero A, et al. On the acceptance, commissioning, and quality assurance of electron FLASH units. Med. Phys. 2025;52:1207–23. doi: 10.1002/mp.17483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 224.Dvorak H F, Nagy J A, Dvorak J T, Dvorak A M. Identification and characterization of the blood vessels of solid tumors that are leaky to circulating macromolecules. Am. J. Pathol. 1988;133:95–109. [PMC free article] [PubMed] [Google Scholar]
- 225.Unezaki S, Maruyama K, Hosoda J-I, Nagae I, Koyanagi Y, Nakata M, Ishida O, Iwatsuru M, Tsuchiya S. Direct measurement of the extravasation of polyethyleneglycol-coated liposomes into solid tumor tissue by in vivo fluorescence microscopy. Int. J. Pharm. 1996;144:11–17. doi: 10.1016/S0378-5173(96)04674-1. [DOI] [Google Scholar]
- 226.Chow J C L. Dose enhancement effect in radiotherapy: adding gold nanoparticles to tumor in cancer treatment. In: Ficai A, Grumezescu A M, editors. Nanostructures for Cancer Therapy. Elsevier Inc; 2017. pp. 383–403. ch 15. [Google Scholar]
- 227.Rosa S, Connolly C, Schettino G, Butterworth K T, Prise K M. Biological mechanisms of gold nanoparticle radiosensitization. Cancer Nanotechnol. 2017;8 doi: 10.1186/s12645-017-0026-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Jain S, Hirst D G, O’Sullivan J M. Gold nanoparticles as novel agents for cancer therapy. Br. J. Radiol. 2012;85:101–13. doi: 10.1259/bjr/59448833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229.Her S, Jaffray D A, Allen C. Gold nanoparticles for applications in cancer radiotherapy: mechanisms and recent advancements. Adv. Drug Deliv. Rev. 2017;109:84–101. doi: 10.1016/j.addr.2015.12.012. [DOI] [PubMed] [Google Scholar]
- 230.Hoffmann C, et al. Phase I dose-escalation study of NBTXR3 activated by intensity-modulated radiation therapy in elderly patients with locally advanced squamous cell carcinoma of the oral cavity or oropharynx. Eur. J. Cancer. 2021;146:135–44. doi: 10.1016/j.ejca.2021.01.007. [DOI] [PubMed] [Google Scholar]
- 231.Villalobos Gutiérrez P T, Muñoz Carrillo J L, Sandoval Salazar C, Viveros Paredes J M, Coronado O G. Functionalized metal nanoparticles in cancer therapy. Pharmaceutics. 2023;15:1932. doi: 10.3390/pharmaceutics15071932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Generalov R, Kuan W B, Chen W, Kristensen S, Juzenas P. Radiosensitizing effect of zinc oxide and silica nanocomposites on cancer cells. Colloids Surf. B. 2015;129:79–86. doi: 10.1016/j.colsurfb.2015.03.026. [DOI] [PubMed] [Google Scholar]
- 233.Hainfeld J F, Dilmanian F A, Slatkin D N, Smilowitz H M. Radiotherapy enhancement with gold nanoparticles. J. Pharm. Pharmacol. 2008;60:977–85. doi: 10.1211/jpp.60.8.0005. [DOI] [PubMed] [Google Scholar]
- 234.Kobayashi K, Usami N, Porcel E, Lacombe S, Le Sech C. Enhancement of radiation effect by heavy elements. Mutat. Res. Rev. Mutat. Res. 2010;704:123–34. doi: 10.1016/j.mrrev.2010.01.002. [DOI] [PubMed] [Google Scholar]
- 235.Escorcia F E, McDevitt M R, Villa C H, Scheinberg D A. Targeted nanomaterials for radiotherapy. Nanomedicine. 2007;2:805–16. doi: 10.2217/17435889.2.6.805. [DOI] [PubMed] [Google Scholar]
- 236.Retif P, Pinel S, Toussaint M, Frochot C, Chouikrat R, Bastogne T, Barberi-Heyob M. Nanoparticles for radiation therapy enhancement: the key parameters. Theranostics. 2015;5:1030–44. doi: 10.7150/thno.11642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Adams F H, Norman A, Mello R S, Bass D. Effect of radiation and contrast media on chromosomes. Preliminary report. Radiology. 1977;124:823–6. doi: 10.1148/124.3.823. [DOI] [PubMed] [Google Scholar]
- 238.Hainfeld J F, Slatkin D N, Smilowitz H M. The use of gold nanoparticles to enhance radiotherapy in mice. Phys. Med. Biol. 2004;49:N309–N315. doi: 10.1088/0031-9155/49/18/N03. [DOI] [PubMed] [Google Scholar]
- 239.Hainfeld J F, Dilmanian F A, Zhong Z, Slatkin D N, Kalef-Ezra J, Smilowitz H M. Gold nanoparticles enhance the radiation therapy of a murine squamous cell carcinoma. Phys. Med. Biol. 2010;55:3045–59. doi: 10.1088/0031-9155/55/11/004. [DOI] [PubMed] [Google Scholar]
- 240.Li Y, Yang J, Sun X. Reactive oxygen species-based nanomaterials for cancer therapy. Front. Chem. 2021;9:650587. doi: 10.3389/fchem.2021.650587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Aggarwal V, Tuli H S, Varol A, Thakral F, Yerer M B, Sak K, Varol M, Jain A, Khan M A, Sethi G. Role of reactive oxygen species in cancer progression: molecular mechanisms and recent advancements. Biomolecules. 2019;9:735. doi: 10.3390/biom9110735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242.Cordelli E, et al. Direct and delayed x-ray-induced DNA damage in male mouse germ cells. Environ. Mol. Mutagen. 2012;53:429–39. doi: 10.1002/em.21703. [DOI] [PubMed] [Google Scholar]
- 243.Kotb O M, et al. Investigation of DNA damage induced by proton and gamma radiation. Biophysics. 2021;66:202–8. doi: 10.1134/S0006350921020123. [DOI] [Google Scholar]
- 244.Zhu S, Gu Z, Zhao Y. Harnessing tumor microenvironment for nanoparticle-mediated radiotherapy. Adv. Ther. 2018;1:1800050. doi: 10.1002/adtp.201800050. [DOI] [Google Scholar]
- 245.Kastan M B, Bartek J. Cell-cycle checkpoints and cancer. Nature. 2004;432:316–23. doi: 10.1038/nature03097. [DOI] [PubMed] [Google Scholar]
- 246.Mackey M A, Saira F, Mahmoud M A, El-Sayed M A. Inducing cancer cell death by targeting its nucleus: solid gold nanospheres versus hollow gold nanocages. Bioconjugate Chem. 2013;24:897–906. doi: 10.1021/bc300592d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 247.Jackson N, Cecchi D, Beckham W, Chithrani D B. Application of high-Z Nanoparticles to enhance current radiotherapy treatment. Molecules. 2024;29:2438. doi: 10.3390/molecules29112438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248.Verry C, et al. MRI-guided clinical 6-MV radiosensitization of glioma using a unique gadolinium-based nanoparticles injection. Nanomedicine. 2016;11:2405–17. doi: 10.2217/nnm-2016-0203. [DOI] [PubMed] [Google Scholar]
- 249.Dufort S, et al. The high radiosensitizing efficiency of a trace of gadolinium-based nanoparticles in tumors. Sci. Rep. 2016;6:29678. doi: 10.1038/srep29678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 250.Kotb S, et al. Gadolinium-based nanoparticles and radiation therapy for multiple brain melanoma metastases: proof of concept before phase I trial. Theranostics. 2016;6:418–27. doi: 10.7150/thno.14018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 251.Maggiorella L, Barouch G, Devaux C, Pottier A, Deutsch E, Bourhis J, Borghi E, Levy L. Nanoscale radiotherapy with hafnium oxide nanoparticles. Front. Oncol. 2012;8:1167–81. doi: 10.2217/fon.12.96. [DOI] [PubMed] [Google Scholar]
- 252.Cui F-B, Li R-T, Liu Q, Wu P-Y, Hu W-J, Yue G-F, Ding H, Yu L-X, Qian X-P, Liu B-R. Enhancement of radiotherapy efficacy by docetaxel-loaded gelatinase-stimuli PEG-Pep-PCL nanoparticles in gastric cancer. Cancer Lett. 2014;346:53–62. doi: 10.1016/j.canlet.2013.12.002. [DOI] [PubMed] [Google Scholar]
- 253.National Library of Medicine Evaluating AGuIX® nanoparticles in combination with stereotactic radiation for brain metastases (NANOSTEREO) (available at: https://clinicaltrials.gov/study/NCT04094077)
- 254.Biau J, et al. NANO-GBM trial of AGuIX nanoparticles with radiotherapy and temozolomide in the treatment of newly diagnosed Glioblastoma: phase 1b outcomes and MRI-based biodistribution. Clin. Transl. Radiat. Oncol. 2024;48:100833. doi: 10.1016/j.ctro.2024.100833. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255.National Library of Medicine NBTXR3 and radiation therapy in treating patients with locally advanced SCC of the oral cavity or oropharynx. (available at: https://clinicaltrials.gov/study/NCT01946867)
- 256.National Library of Medicine NBTXR3 and radiation therapy for the treatment of inoperable recurrent non-small cell lung cancer. (available at: https://clinicaltrials.gov/study/NCT04505267)
- 257.National Library of Medicine NBTXR3 activated by radiotherapy for patients with advanced cancers treated with an Anti-PD-1 therapy. (available at: https://clinicaltrials.gov/study/NCT03589339)
- 258.Engels E, et al. Advances in modelling gold nanoparticle radiosensitization using new Geant4-DNA physics models. Phys. Med. Biol. 2020;65:225017. doi: 10.1088/1361-6560/abb7c2. [DOI] [PubMed] [Google Scholar]
- 259.Sheeraz Z, Chow J C L. Evaluation of dose enhancement with gold nanoparticles in kilovoltage radiotherapy using the new EGS geometry library in Monte Carlo simulation. AIMS Biophys. 2021;8:337–45. doi: 10.3934/biophy.2021027. [DOI] [Google Scholar]
- 260.Spiga J, Siegbahn E A, Bräuer-Krisch E, Randaccio P, Bravin A. The GEANT4 toolkit for microdosimetry calculations: application to microbeam radiation therapy (MRT) Med. Phys. 2007;34:4322–30. doi: 10.1118/1.2794170. [DOI] [PubMed] [Google Scholar]
- 261.Chicilo F, Hanson A L, Geisler F H, Belev G, Edgar A, Ramaswami K O, Chapman D, Kasap S O. Dose profiles and x-ray energy optimization for microbeam radiation therapy by high-dose, high resolution dosimetry using Sm-doped fluoroaluminate glass plates and Monte Carlo transport simulation. Phys. Med. Biol. 2020;65:075010. doi: 10.1088/1361-6560/ab7361. [DOI] [PubMed] [Google Scholar]
- 262.Verhaegen F, Reniers B, Deblois F, Devic S, Seuntjens J, Hristov D. Dosimetric and microdosimetric study of contrast-enhanced radiotherapy with kilovolt x-rays. Phys. Med. Biol. 2005;50:3555–69. doi: 10.1088/0031-9155/50/15/005. [DOI] [PubMed] [Google Scholar]
- 263.Wu J, Xu X, Liang Y, Chen T, Quan E, Wang L. Biological modeling of gadolinium-based nanoparticles radio-enhancement for kilovoltage photons: a Monte Carlo study. Cancer Nanotechnol. 2023;14:47. doi: 10.1186/s12645-023-00202-w. [DOI] [Google Scholar]
- 264.Cornelius I, Guatelli S, Fournier P, Crosbie J C, Del Rio M S, Bräuer-Krisch E, Rosenfeld A, Lerch M. Benchmarking and validation of a Geant4–SHADOW Monte Carlo simulation for dose calculations in microbeam radiation therapy. J. Synchrotron Radiat. 2014;21:518–28. doi: 10.1107/S1600577514004640. [DOI] [PubMed] [Google Scholar]
- 265.Dipuglia A, Cameron M, Davis J A, Cornelius I M, Stevenson A W, Rosenfeld A B, Petasecca M, Corde S, Guatelli S, Lerch M L F. Validation of a Monte Carlo simulation for microbeam radiation therapy on the imaging and medical beamline at the Australian synchrotron. Sci. Rep. 2019;9:17696. doi: 10.1038/s41598-019-53991-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 266.Chow J C L, Santiago C A. DNA damage of iron-gold nanoparticle heterojunction irradiated by kV photon beams: a Monte Carlo study. Appl. Sci. 2023;13:8942. doi: 10.3390/app13158942. [DOI] [Google Scholar]
- 267.Grotzer M A, Schültke E, Bräuer-Krisch E, Laissue J A. Microbeam radiation therapy: clinical perspectives. Phys. Med. 2015;31:564–7. doi: 10.1016/j.ejmp.2015.02.011. [DOI] [PubMed] [Google Scholar]
- 268.Engels E, et al. Toward personalized synchrotron microbeam radiation therapy. Sci. Rep. 2020;10:8833. doi: 10.1038/s41598-020-65729-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 269.Serduc R, Bouchet A. MRT-boost as the last fraction may be the most efficient irradiation schedule for increased survival times in a rat glioma model. J. Synchrotron Radiat. 2023;30:591–5. doi: 10.1107/S1600577523002606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 270.Eling L, et al. Neuro-oncologic veterinary trial for the clinical transfer of microbeam radiation therapy: acute to subacute radiotolerance after brain tumor irradiation in pet dogs. Cancer. 2024;16:2701. doi: 10.3390/cancers16152701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 271.Howell M, Wang C, Mahmoud A, Hellermann G, Mohapatra S S, Mohapatra S. Dual-function theranostic nanoparticles for drug delivery and medical imaging contrast: perspectives and challenges for use in lung diseases. Drug Deliv. Transl. Res. 2013;3:352–63. doi: 10.1007/s13346-013-0132-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 272.Detappe A, Thomas E, Tibbitt M W, Kunjachan S, Zavidij O, Parnandi N, Reznichenko E, Lux F, Tillement O, Berbeco R. Ultrasmall silica-based bismuth gadolinium nanoparticles for dual magnetic resonance–computed tomography image guided radiation therapy. Nano Lett. 2017;17:1733–40. doi: 10.1021/acs.nanolett.6b05055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 273.Le Duc G, et al. Toward an image-guided microbeam radiation therapy using gadolinium-based nanoparticles. ACS Nano. 2011;5:9566–74. doi: 10.1021/nn202797h. [DOI] [PubMed] [Google Scholar]
- 274.Soliman Y S, Capron M, Pontoni D, Krisch M, Pellicioli P. Study of a gel dosimeter based on Ag nanoparticles for applications in radiation therapy with synchrotron x-rays at ultrahigh dose rate compared to 60Co γ-rays. Radiat. Phys. Chem. 2025;227:112351. doi: 10.1016/j.radphyschem.2024.112351. [DOI] [Google Scholar]
- 275.Régnard P, Bräuer-Krisch E, Troprès I, Keyriläinen J, Bravin A, Le Duc G. Enhancement of survival of 9L gliosarcoma bearing rats following intracerebral delivery of drugs in combination with microbeam radiation therapy. Eur. J. Radiol. 2008;68:S151–S155. doi: 10.1016/j.ejrad.2008.04.049. [DOI] [PubMed] [Google Scholar]
- 276.Rahman W N, Davidson R, Yagi N, Bansal V, Geso M, Darby I. Influence of gold nanoparticles on radiation dose enhancement and cellular migration in microbeam-irradiated cells. BioNanoScience. 2011;1:4–13. doi: 10.1007/s12668-011-0001-x. [DOI] [Google Scholar]
- 277.Engels E, Lerch M, Tehei M, Konstantinov K, Guatelli S, Rosenfeld A, Corde S. Synchrotron activation radiotherapy: effects of dose-rate and energy spectra to tantalum oxide nanoparticles selective tumour cell radiosentization enhancement. J. Phys.: Conf. Ser. 2017;777:012011. doi: 10.1088/1742-6596/777/1/012011. [DOI] [Google Scholar]
- 278.Shahhoseini E, Nakayama M, Panettieri V, Hall C, Feltis B, Geso M. Effects of synchrotron-based x-rays and gold nanoparticles on normal and cancer cell morphology and migration. J. Synchrotron Radiat. 2023;30:359–67. doi: 10.1107/S1600577522012024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 279.Rahman W N, Corde S, Yagi N, Abdul Aziz S A, Annabell N, Geso M. Optimal energy for cell radiosensitivity enhancement by gold nanoparticles using synchrotron-based monoenergetic photon beams. Int. J. Nanomed. 2014;19:2459–67. doi: 10.2147/IJN.S59471. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 280.Engels E, Lerch M, Corde S, Tehei M. Efficacy of 15 nm gold nanoparticles for image-guided gliosarcoma radiotherapy. Nanotheranostics. 2023;4:480–95. doi: 10.3390/jnt4040021. [DOI] [Google Scholar]
- 281.Peng L, Gao Z, Liang Y, Guo X, Zhanga Q, Cui D. Nanoparticle-based drug delivery systems: opportunities and challenges in the treatment of esophageal squamous cell carcinoma (ESCC) Nanoscale. 2025;17:8270–88. doi: 10.1039/D4NR05114A. [DOI] [PubMed] [Google Scholar]
- 282.Seniwal B, Thipe V C, Singh S, Fonseca T C F, de Freitas L F. Recent advances in brachytherapy using radioactive nanoparticles: an alternative to seed-based brachytherapy. Front. Oncol. 2021;11:766407. doi: 10.3389/fonc.2021.766407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 283.Debnath S K, Debnath M, Ghosh A, Srivastava R, Omri A. Targeting tumor hypoxia with nanoparticle-based therapies: challenges, opportunities, and clinical implications. Pharmaceuticals. 2024;17:1389. doi: 10.3390/ph17101389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 284.Golombek S K, May J-N, Theek B, Appold L, Drude N, Kiessling F, Lammers T. Tumor targeting via EPR: strategies to enhance patient responses. Adv. Drug Deliv. Rev. 2018;130:17–38. doi: 10.1016/j.addr.2018.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 285.Vagena I-A, Malapani C, Gatou M-A, Lagopati N, Pavlatou E A. Enhancement of EPR effect for passive tumor targeting: current status and future perspectives. Appl. Sci. 2018;15:3189. doi: 10.3390/app15063189. [DOI] [Google Scholar]
- 286.Abdus Subhan M, Parveen F, Filipczak N, Yalamarty S S K, Torchilin V P. Approaches to improve EPR-based drug delivery for cancer therapy and diagnosis. J. Pers. Med. 2023;13:389. doi: 10.3390/jpm13030389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 287.Jiang Z, Fu Y, Shen H. Development of intratumoral drug delivery based strategies for antitumor therapy. Drug Des. Dev. Ther. 2024;18:2189–202. doi: 10.2147/DDDT.S467835. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data that support the findings of this study are included within the article (and any supplementary files).








