Abstract
Objectives:
The purpose of this study is to investigate the dosimetric effect and clinical impact of delivering a focal radiotherapy boost dose to multiparametric MRI (mp-MRI)-defined dominant intraprostatic lesions (DILs) in prostate cancer using proton therapy.
Methods:
We retrospectively investigated 36 patients with pre-treatment mp-MRI and CT images who were treated using pencil beam scanning (PBS) proton radiation therapy to the whole prostate. DILs were contoured on co-registered mp-MRIs. Simultaneous integrated boost (SIB) plans using intensity-modulated proton therapy (IMPT) were created based on conventional whole-prostate-irradiation for each patient and optimized with additional DIL coverage goals and urethral constraints. DIL dose coverage and organ-at-risk (OAR) sparing were compared between conventional and SIB plans. Tumor control probability (TCP) and normal tissue complication probability (NTCP) were estimated to evaluate the clinical impact of the SIB plans.
Results:
Optimized SIB plans significantly escalated the dose to DILs while meeting OAR constraints. SIB plans were able to achieve 125, 150 and 175% of prescription dose coverage in 74, 54 and 17% of 36 patients, respectively. This was modeled to result in an increase in DIL TCP by 7.3–13.3% depending on and DIL risk level.
Conclusion:
The proposed mp-MRI-guided DIL boost using proton radiation therapy is feasible without violating OAR constraints and demonstrates a potential clinical benefit by improving DIL TCP. This retrospective study suggested the use of IMPT-based DIL SIB may represent a strategy to improve tumor control.
Advances in knowledge:
This study investigated the planning of mp-MRI-guided DIL boost in prostate proton radiation therapy and estimated its clinical impact with respect to TCP and NTCP.
Introduction
Radiation therapy for localized prostate cancer, as delivered using external beam radiotherapy (EBRT), brachytherapy, or a combination thereof, treats the entire prostate gland to a single prescribed dose level since prostate cancer is presumed to be multifocal.1–5 However, histopathological studies have commonly identified dominant intraprostatic lesions (DILs) in prostate cancer.6 DIL is the area within the prostate containing the largest and/or highest grade of cancer lesion.7 One or a few DILs are responsible for the majority of the tumor burden despite typically representing less than 10% of the total gland volume,6 and are the most common sites of recurrence after radiation therapy.8,9 Studies have shown that escalating the dose to DILs when irradiating the whole prostate has the potential to increase tumor control probability (TCP) with acceptable toxicity.10–13 Thus, dose escalation to DILs during radiation treatment is an approach of particular clinical and research interest.14
Although radiotherapy boost to DIL may improve disease control, it may come at the cost of increased toxicity of surrounding normal tissue such as bladder, urethra, and rectum. The dosimetric effect and potential clinical impact of different treatment schemes for prostate DIL dose escalation has been reported for both photon EBRT and high-dose rate (HDR) brachytherapy.12,14,15 For photon EBRT, intensity-modulated radiation therapy (IMRT)/volumetric-modulated arc therapy (VMAT) techniques for conventional fractionation, moderate hypofractionation, and stereotactic ablative radiation therapy (ultra-hypofractionation) have been proposed.12,15–20 The boost dose can be escalated to approximately 125% of the whole prostate prescription dose, covering 95% of DIL volume, before organs-at-risk (OARs) constraints are violated. DIL dose escalation can also be implemented in HDR brachytherapy. Recent studies have demonstrated the potential of multiparametric MRI (mp-MRI)-guided DIL focal boost HDR brachytherapy based on CT or transrectal ultrasound (TRUS) images.14,18 Coverage to 150% of the prescription dose can be achieved for the DIL without violating dose constraints by standard peripheral loading with additional needle(s) within the DIL. The relatively higher boost dose can be attributed to the interstitial property of brachytherapy that avoids entrance dose and provides more conformal dose distribution when compared with photon EBRT.21,22 Using HDR for focal boost may be technically challenging when implanting individual needles. The mp-MRI images need to be deformably registered with real-time TRUS images in the operating room in order to propagate the mp-MRI-defined DIL contour to TRUS images for needle guidance. Such deformable registration is challenging in that it involves two imaging modalities with different contrast information and it is required to have high-speed performance to enable real-time guidance.23
Proton radiation therapy has been an emerging treatment modality for prostate cancer. Due to favorable dosimetric properties related to the Bragg Peak, and virtually no exit dose, it may have better clinical outcomes when compared with photon EBRT.24,25 DIL dose escalation using proton radiation therapy is promising by utilizing its sharp dose gradient at the distal end of beam. Intensity modulatedproton therapy (IMPT) using pencil beam scanning (PBS) has the ability to selectively boost DIL dose by applying more weight to the spots contributing to it. Recent studies comparing photon and proton radiation therapy in DIL simultaneous integrated boost (SIB) plan have demonstrated that passive scatter proton therapy and IMPT have comparable or superior DIL boost dose distributions over IMRT/VMAT/helical tomotherapy, respectively, with both having better OAR sparing.26–28 However, the dosimetric differences between proton DIL SIB plans and conventional non-boost whole prostate proton plans, which is important for clinicians in predicting disease control and toxicity, have not been studied.
In this study, we investigated the planning of IMPT-based boost to the DIL, and compared it to conventional whole-prostate proton irradiation. The purpose of this study was to determine the achievable level of DIL dose escalation, its estimated impact on tumor coverage and dose to OARs, and its modeled clinical impact. In a cohort of 36 patients, we retrospectively evaluated the dose coverage of mp-MRI-defined DILs in IMPT-based SIB treatment plans, and compared its OAR sparing and prostate coverage against conventional plans. TCP and normal tissue complication probability (NTCP) were estimated to further evaluate the clinical impact of the SIB plans.
Methods and materials
Patients
We retrospectively identified 36 patients who were treated using PBS proton therapy at a single institution. Median age was 69.5 years (range 49–83), clinical T classification were T1c to T3b, median PSA was 8.4 (range 3.1–40). Median MR-based prostate volume was 53.0 cc (range 24.1cc-214.0cc), and median Gleason score was 7 (range 6–9). The numbers of patients in ISUP grade group from 1 to 5 are 5, 13, 10, 5, and 3. Among the 36 patients, 24 patients had androgen deprivation (ADT). All patients received 70 Gy RBE dose (assuming a proton RBE of 1.1) in 28 fractions to the prostate and proximal seminal vesicles using pencil beam scanning proton beams. Institutional review board approval was obtained; informed consent was not required for this Health Insurance Portability and Accountability Act (HIPAA) compliant retrospective analysis.
Image acquisition and contouring
Recent advances in mp-MRI techniques have shown its efficacy in identifying DILs,29–32 and its reliability, accuracy, and reproducibility as validated against reference pathology.33–36 Multiple studies have supported its use for image guidance in treatment planning of EBRT and HDR brachytherapy for DIL boosts.37,38
In our study, mp-MRI scans, which included T1W, T2W and diffusion-weighted MRI (DWI), were acquired on the same day as the planning CT on an Aera (Siemens, Germany) 1.5T scanner. T1W MRI used gradient recalled (GR) sequence with 10° flip angle, repetition time (TR) 6.9 ms, echo time (TE) 2.39 ms, echo train length 2, and 1.4 mm pixel size and slice thickness. T2W MRI used spin echo (SE) sequence with 170° flip angle, TR/TE = 1600 ms/166 ms, echo train length 76, 1.0 mm pixel size, and slice thickness. DWI MRI used a single-shot SE-echo planar imaging (EPI) with TR/TE = 5000 ms/61 ms, 1.8 mm pixel size, and 3.5 mm slice thickness. Apparent diffusion coefficient (ADC) maps were then generated with b-value = 800 s/mm2 for analysis. Planning CT images were acquired with a SOMATOM Definition Edge (Siemens, Germany) with 120 kVp, 0.5 s rotation time, 500 to 650 mA tube current, 1.0 mm pixel size, and 1.5 mm slice thickness.
Each patient’s original approved clinical plan included a deformable registration between mp-MRIs and CT images. The whole prostate contour was delineated on MRs and propagated to CT images. The bladder, rectum, left and right femoral heads were contoured on CT images. Eleven of the 36 patients had large bowel contours. For our dose escalation study, DILs contours were based on the above MRI images to reach a consensus between two radiation oncologists using VelocityAI 3.2.1 (Varian Medical Systems, Palo Alto, CA). An example of DIL delineation on T2W MRI and ADC map is shown in Figure 1. Each patient has one DIL defined within the prostate. The average DIL volume among the 36 patients was 0.63 ± 0.53 cc (range 0.09–2.27cc). The urethra was also contoured on MRIs for each patient. Both DIL and urethra contours were propagated from MRIs to planning CTs for SIB planning.
Figure 1.
Example of DIL delineation on T2W MRI (left) and apparent diffusion coefficient map (right).
Treatment planning study
Two opposing lateral beams were used for both the conventional whole-prostate-irradiation plans and the proposed DIL SIB plans. While conventional plans were optimized with single field optimization (SFO) technique, DIL SIB plans were optimized with multifield optimization (MFO) technique to facilitate DIL coverage and OAR sparing. Both the conventional whole-prostate-irradiation plans and the proposed DIL SIB plans were robustly optimized with 6 mm setup uncertainty in all directions except for 0 mm laterally, which was covered by the 3.5% range uncertainty. Both plans were normalized to achieve whole prostate coverage at 100% of the prescribed dose to 98% of the CTV (V100 = 98%), with hard OAR dose constraints based on RTOG 0415 Arm 2.39 Additional optimization goals for OAR doses were used as constraints for both plans if further normal tissue sparing was feasible (Table 1). DILs and urethra were not considered as part of conventional plan optimization. DIL SIB plans were reoptimized as simultaneous boosts to the conventional plan based on additional DIL coverage. The goal for DIL dose coverage was D95 ≥ 140% and D90 ≥200% of the prescribed dose while meeting the above CTV/OAR constraints, as well as an additional urethra constraint (maximum dose ≤82 Gy (117%)).
Table 1.
Organ-at-risk dose constrains and additional optimizing goals for both the conventional whole-prostate-irradiation plans and the proposed DIL SIB plans
CTV/OAR constraints | CTV | V100 = 98% |
Bladder | Dose to 15% (D15) ≤79 Gy | |
D25 ≤ 74 Gy | ||
D35 ≤69 Gy | ||
D50 ≤64 Gy | ||
Rectum | D15 ≤74 Gy | |
D25 ≤ 69 Gy | ||
D35 ≤64 Gy | ||
D50 ≤59 Gy | ||
Penile Bulb | Mean ≤ 51 Gy | |
Additional optimizing goals | DILa | D95 ≥140% |
D90 ≥200% | ||
Bladder | Max <71.5 Gy | |
Rectum | Max <71 Gy | |
Femoral head | Max <40 Gy | |
Urethraa | Max <82 Gy |
Used in SIB plan only
In the following context, we refer to the above two scenarios as “conventional” and “SIB,” respectively. Treatment planning was performed using Raystation 8B (RaySearch, Stockholm, Sweden). Clinically relevant dose-volume histogram (DVH) metrics were selected for comparison between the two scenarios for prostate with DIL cropped, DIL, bladder, rectum, femoral heads, large bowel, and urethra. A student t-test was performed between “Conventional” vs “Boost” to evaluate the significance of corresponding DVH metric changes. A p-value less than 0.05 was considered statistically significant.
TCP and NTCP modeling
The clinical impact of SIB plans was evaluated in terms of TCP and NTCP. TCP was calculated using the LQ-Poisson Marsden model,40 and NTCP was calculated for bladder, rectum, and urethra by Lyman-Kutcher-Burman (LKB) model with Niemierko’s equivalent uniform dose model.41–43 Equations and details of TCP and NTCP calculation were done as previously reported.14 All doses used for DVHs were converted to equivalent dose in 2 Gy/fraction (EQD2) based on the linear quadratic model in our calculation.44,45 TCP calculations assume the population of clonogenic cells (with initial cell density and constant ratio) with radiosensitivity () varies according to a Gaussian distribution with mean and standard deviation . To evaluate the possibility of varying tumor radiation resistance, we investigated two different ratios (1.5 Gy and 3 Gy) for prostate and DIL, each of which corresponds to a different set of parameters ( and ) as previously reported.12,46 Note that EQD2 was also calculated separately for each ratio. For all ratios, in non-DIL was assumed to be /cc, and in DIL was assumed to be /cc and /cc to represent lesions of high and very high risk, respectively, as previously reported.12,47,48
NTCP calculations involve OAR-dependent parameters , and chosen according to existing studies. The ratios were only used in EQD2 conversion, and were assumed to be three if not explicitly listed.12,49,50Parameters for TCP and NTCP calculation are listed in Tables 2 and 3. The calculation was implemented by Biosuite software.46 NTCPs of left and right femoral heads were averaged.
Table 2.
Tumor control probability parameters
(Gy) | (Gy−1) | (Gy−1) | (cc−1) | |
---|---|---|---|---|
1.5 | Prostate-DILa | 0.155 | 0.058 | |
DIL (high risk) | 0.155 | 0.058 | ||
DIL (very high risk) | 0.155 | 0.058 | ||
3 | Prostate-DIL | 0.217 | 0.082 | |
DIL (high risk) | 0.217 | 0.082 | ||
DIL (very high risk) | 0.217 | 0.082 |
Prostate-DIL, Prostate with DIL cropped.
Table 3.
Normal tissue complication probability parameters
(Gy) | (Gy) | Source | ||||
---|---|---|---|---|---|---|
Bladder | Contracture/volume loss | 3 | 80 | 0.11 | 0.5 | Burman, et al.51 |
Rectum | Grade 2 + late toxicity or rectal bleeding | 3 | 76.9 | 0.13 | 0.09 | Michalski, et al.52 |
Urethra | Stricture requiring urethrotomy within 4 years after RT completion | 5 | 70.7 | 0.37 | 0.3 | Panettieri et al.53 |
Femoral Heads | Necrosis | 3 | 65 | 0.12 | 0.25 | Burman, et al.51 |
Results
The dose distributions of conventional and SIB plans were compared side-by-side-for a representative patient (Figure 2). In conventional plan, the DIL received essentially the standard prescription dose (Figure 2(a)). The SIB plan successfully achieved the DIL V175 coverage (V175 = 98.5%) with increased dose on femoral heads (Figure 2(b) and (c)). The DVH comparison of this patient is shown in Figure 3. The DVH of DIL in the conventional plan overlapped with that of prostate in the conventional plan. The dose deposited to the DIL in the SIB plan was significantly higher than that of the conventional plan, with an increased hotspot in the non-DIL prostate region. Qualitatively, DVH curves of the SIB plan were similar to that of the conventional plan for OARs, with exception of the femoral heads.
Figure 2.
Dose distributions of (a) conventional, (b) simultaneous integrated boost plans and (c) dose difference map = (b)-(a). Prostate and dominant intraprostatic lesion are indicated by red and blue contours.
Figure 3.
The DVHs of patient in Figure 1 of conventional and simultaneous integrated boost plans. Prostate-DIL = Prostate with DIL cropped.
Comparative DVH metrics for prostate and DIL between the two plans among 36 patients are summarized in Table 4. For the non-DIL prostate, although minimal differences were found in prescription dose coverage, the volume of high dose (>110% of prescription dose) spill was about 20% in the SIB plans. Figure 4 shows the percentage of patients receiving various levels of coverage to the DIL in the SIB plan. 74, 54, and 17% of patients had escalated doses to V125 > 95%, V150 > 95%, V175 >95% of DIL, respectively. These results are consistent with the above qualitative findings and quantitatively demonstrate the dose coverage improvement to the DIL in SIB plans.
Table 4.
Mean ± Std of DVH metrics of prostate and dominant intraprostatic lesion for both plans among 36 patients
Prostate-DIL | DIL | ||||||||
---|---|---|---|---|---|---|---|---|---|
D90(%) | V100(%) | V110(%) | D90(%) | D95(%) | V100(%) | V125(%) | V150(%) | V175(%) | |
Conventional | 100.7±0.1 | 98.2±0.4 | 0 | 101.3±0.7 | 101.1±0.7 | 98.6±6.1 | 0 | 0 | 0 |
SIB | 100.4±0.1 | 98.0±0.1 | 20.4±8.5 | 155.2±24.6 | 147.3±25.2 | 99.9±0.3 | 93.0±17.2 | 81.8±28.5 | 64.0±33.9 |
P-values | <0.001 | 0.023 | <0.001 | <0.001 | <0.001 | 0.203 | <0.001 | <0.001 | <0.001 |
Prostate-DIL, Prostate with DIL cropped.
Figure 4.
Percentage of patients receiving different dominant intraprostatic lesion dose coverage (125%, 150% and 175% prescription dose covering >95%, 90–95%, 80–90%, or 0–80% of DIL volume) in simultaneous integrated boost plan.
Similarly, comparison of OARs is summarized in Table 5. All the SIB plans met OAR constraints and urethra V90Gy = 0. The largest discrepancy was found in maximum dose to the femoral heads. Increases in DVH metrics of bladder and rectum received were within 3% of prescription dose. There was no statistically significant difference between the two plans for large bowel D0.03cc and penile bulb Dmean.
Table 5.
Mean ± Std of DVH metrics of OARs in different plans among all 36 patients
Bladder | Rectum | |||||||
---|---|---|---|---|---|---|---|---|
D15(Gy) | D25(Gy) | D35(Gy) | D50(Gy) | D15(Gy) | D25(Gy) | D35(Gy) | D50(Gy) | |
Conventional | 29.7 ± 20.4 | 13.4 ± 15.0 | 5.9 ± 9.0 | 1.8 ± 3.3 | 36.0 ± 18.0 | 21.8 ± 14.5 | 12.1 ± 9.3 | 4.7 ± 3.9 |
SIB | 32.0 ± 21.4 | 14.9 ± 16.5 | 6.8 ± 10.5 | 2.0 ± 4.0 | 35.6 ± 19.4 | 22.8 ± 16.3 | 13.2 ± 10.7 | 5.2 ± 4.3 |
P-values | <0.001 | <0.001 | 0.008 | 0.053 | 0.525 | 0.017 | 0.006 | 0.008 |
Urethra | Large Bowel | Penile Bulb | Femoral head (L) | Femoral head (R) | ||||
V90Gy(cc) | D10(Gy) | D0.03cc (Gy) | Dmean | Dmax | Dmax | |||
Conventional | 0 | 71.8 ± 0.1 | 35.6 ± 30.4 | 8.6 ± 7.1 | 32.0 ± 1.3 | 31.5 ± 0.9 | ||
SIB | 0 | 75.3 ± 2.6 | 35.8 ± 30.1 | 8.6 ± 5.6 | 44.2 ± 2.2 | 44.2 ± 2.2 | ||
P-values | N/A | <0.001 | 0.911 | 0.991 | <0.001 | <0.001 |
The TCP and NTCP results are summarized in Table 6. Overall, the SIB plans significantly increased the TCP of DILs compared to the conventional plans, while maintaining the TCP of non-DIL prostate region. The greatest TCP improvement was seen for very high risk DILs with =3 (13.3%), and the least was for high risk DILs with =1.5 (7.3%). NTCP results for bladder and rectum had no significant differences between the two plans. For urethra and femoral heads, the SIB plans showed 2.3% (p < 0.05) and 0.6% (p < 0.05) higher NTCP, respectively.
Table 6.
Mean ± Std of tumor control probability and normal tissue complication probability of different plans among all 36 patients
TCP (%), =1.5 | TCP (%), =3 | |||||
---|---|---|---|---|---|---|
Prostate-DIL | DIL (high risk) | DIL (very high risk) | Prostate-DIL | DIL (high risk) | DIL (very high risk) | |
Conventional | 89.6 ± 0.9 | 89.1 ± 1.4 | 82.6 ± 1.9 | 88.2 ± 0.9 | 87.7 ± 1.56 | 80.4 ± 2.1 |
SIB | 89.7 ± 1.7 | 96.4 ± 2.3 | 94.4 ± 4.0 | 88.5 ± 1.6 | 95.8 ± 2.57 | 93.7 ± 4.2 |
P-value | 0.927 | <0.001 | <0.001 | 0.228 | <0.001 | <0.001 |
NTCP (%) | ||||||
Bladder | Rectum | Urethra | Femoral heads | |||
Conventional | 0 | 2.9 ± 3.7 | 57.9 ± 2.2 | 0.3 ± 0.1 | ||
SIB | 0 | 3.0 ± 4.0 | 60.2 ± 2.3 | 0.9 ± 0.2 | ||
P-value | N/A | 0.446 | <0.001 | <0.001 |
Prostate-DIL, Prostate with DIL cropped.
Discussion
In this study, we investigated the planning of mp-MRI-defined DIL dose escalation using IMPT-based proton radiation therapy, and estimated its clinical impact in terms of TCP and NTCP. SIB plans significantly escalated the dose to DILs while respecting prostate coverage and OAR constraints. DIL dose boost to 125, 150, and 175% of prescription dose could be achieved in 74, 54, and 17% of 36 patients, respectively. This resulted in an increase from conventional plan in DIL TCP by 7.3–13.3% depending on and risk level.
DIL dose escalation using proton beam was first proposed by Schulte et al.54 A number of follow-up studies have since been published.26–28,55 These studies focused on comparing proton to photon-based plans (EBRT or HDR brachytherapy) in terms of achievable escalated dose and OAR sparing. DIL boost dose coverage varied from study to study, but generally was able to be pushed up to about 130% of prescription dose. However, these studies differ from our study in several ways, such that a direct comparison in feasible boost dose is not possible. Only bladder and rectum were considered in plan design/optimization in several studies.26,27,55 Others28 did include other common OARs (penile bulb, femoral head, etc.) in planning, but used a less common five-oblique-field setup. Neither of these dosimetric studies was closely based on the clinical workflow for prostate cancer proton treatment planning. Additionally, the urethra was not contoured, and thus unable to be used as a dose limiting structure in these prostate DIL boost studies (except for reference28 which assumed it to be the center of prostate on each slice). In conventional planning, it was widely assumed that the prostatic urethra received the uniform prescription dose;56 however, the urethra in SIB plans is likely to have substantial changes in the volume receiving more than 100% of the prescription dose, depending on boost dose and distance from DIL. Urethral hotspots are directly related to late urinary toxicity, including urethral strictures.57 Moreover, the limited patient sample sizes (ranging from 7 to 12) of prior studies also weakens the validity of their conclusions.
In this study, our purpose was to determine the feasible DIL dose boost and the resulting dosimetric changes to OARs. SIB plans were largely based on the conventional plan with the DIL and urethra added as additional optimizing constraints. The comparison between boost and conventional plans demonstrated both the dosimetric benefits for DIL coverage and also the dose increase to OARs, which provides a benchmark to clinicians about the relative advantage and risks of treating using a proton-based boost. To overcome other limitations discussed above, we included all common OARs (including urethra) in planning and evaluation, and an intermediate size of patients was involved in this study.
A potential tradeoff of SIB plans is the high dose spill from the DIL, and the increased high dose (≥110% of prescription dose) volume in the non-DIL prostate. However, the necessities of enforcement on dose homogeneity in target volume in conventional fractionated EBRT are debatable.58 Ablative doses have proven effective for prostate tumor control,59 and studies have shown that dose heterogeneity may be beneficial in localized prostate cancer for its improvement in OAR sparing.60 Thus, the hotspot in non-DIL prostate can be accepted or even preferred.
Another consequence from the hotspot in non-DIL prostate region is the increased urethral dose. Reducing the urethra dose is an important optimization goal in our treatment planning. In HDR brachytherapy, a commonly used urethra tolerance dose is <125% of prescription dose (13.5 Gy ×2).61 For the fractionation scheme in our study, it is equivalent to 90 Gy, assuming =5 in biological effective dose conversion.60 Table 4 shows that all the patients in our SIB plan met this constraint (V90Gy = 0). Notably, the absolute urethra NTCP values are overestimated using the current parameters. They are much higher than previously reported rates of urethral stricture after EBRT (2%–3%).62–64 As discussed previously, one potential reason is the lack supporting clinical evidence for urethral NTCP LKB modeling parameters.14 The parameters of urethra used in this study and reference14 were cited from Panettieri et al, where the clinical studies of these parameters are not provided.53 Another set of NTCP parameters of urethra was provided in another study without additional sources.65 To the best of our knowledge, these are the only two publications presenting urethra NTCP LKB modeling parameters. Thus, the reliability of the NTCP calculation may be affected and therefore should be viewed with caution.
The largest DVH change among OARs was seen in Dmax of femoral heads (about 12 Gy), which was directly caused by the increased entrance dose from the two opposing lateral beams as shown in Figure 2. Considering only an absolute NTCP increase of 0.6%, it may be clinically acceptable after careful judgment. Future studies would investigate the dependence of OAR toxicity, especially femoral heads Dmax, on the size and location of DIL. The closest OAR to the DIL would be usually more affected by the dose spilled out from DIL. Considering that two opposing lateral beams were used for both the conventional whole-prostate-irradiation plans and the proposed DIL SIB plans as well as more dose uncertainty at the end of beam than the lateral, femoral head would be more sensitive to DIL location than other OARs. Such study may predict the upper limit of dose escalation and the toxicity of femoral heads before plan optimization. Moreover, the use of non-lateral proton beams in treating prostate has been shown feasible with dosimetric advantage especially for hip.66 Such benefit is expected for DIL SIB plan, while dose sparing in other OARs may be compromised by the larger range uncertainty caused by bladder/rectum filling.
TCP/NTCP models are used to estimate the clinical impact of the SIB plans. TCP/NTCP models serve as a surrogate to reflect the potential treatment outcome/toxicity from the change of DVHs. The limitations of using TCP/NTCP models have been presented in several studies.67–69 In this study, specifically, the choice of the model parameters may change the TCP/NTCP scores. Thus the absolute values of TCP/NTCP are not proper to be applied for planning and decision-making due to the uncertainty of model parameters.
Among the 36 patients in this study, 24 patients had ADT. ADT has been shown to reduce the conspicuity of lesion in mp-MRI,18,70,71 which may affect the accuracy of DIL target delineation. In order to have an accurate DIL contour for escalation planning, it may be more appropriate to contour DIL based on the diagnostic mp-MRI before ADT. Image registration then would be required to propagate the DIL contour from diagnostic mp-MRI to planning CT, and its accuracy becomes essential to the treatment planning accuracy. Recently, sophisticated image registration methods between MRI and CT has been proposed and validated in accuracies,72,73 which may address this difficulty in clinical application.
In this study, we evaluated the planning of a DIL boost only for patients with a single DIL. Boosting two anatomically distinct DIL sites can be technically challenging for photon EBRT.74 Proton-based therapy could outperform photon-based plans by reducing the degree of overlap between the two lesions. The planning of delivering focal boosts to more than a single DIL is worth further examination. A comprehensive evaluation with a larger population of patients representing diverse pathological abnormalities would aid in revealing any potential limitations of the current SIB planning method and also proposing novel treatment techniques for future study.
Conclusions
We investigated the planning of mp-MRI-defined DIL dose escalation in proton radiation therapy, and reported the potential clinical impact of this technique using TCP and NTCP estimation. Overall, while respecting all OAR constraints, SIB plans were able to achieve 125, 150, and 175% of prescription dose coverage in 74, 54, and 17% of 36 patients, respectively. This was modeled to result in an increase in DIL TCP by 7.3–13.3% depending on and DIL risk level. This retrospective study suggested the use of IMPT-based DIL SIB may represent a strategy to improve tumor control.
Footnotes
Acknowledgment: This research was supported in part by the National Cancer Institute of the National Institutes of Health under Award Number R01CA215718 (XY), the Department of Defense (DoD) Prostate Cancer Research Program (PCRP) Award DoD W81XWH-17-1-0438 (TL) and W81XWH-17-1-0439 (AJ) and Dunwoody Golf Club Prostate Cancer Research Award (XY), a philanthropic award provided by the Winship Cancer Institute of Emory University.
Contributor Information
Tonghe Wang, Email: twang31@emory.edu.
Jun Zhou, Email: jun.zhou@emory.edu.
Sibo Tian, Email: sibo.tian@emory.edu.
Yinan Wang, Email: yinan.wang@emoryhealthcare.org.
Pretesh Patel, Email: pretesh.patel@emory.edu.
Ashesh B. Jani, Email: abjani@emory.edu.
Katja M. Langen, Email: katja.langen@emory.edu.
Walter J. Curran, Email: wcurran@emory.edu.
Tian Liu, Email: tliu34@emory.edu.
Xiaofeng Yang, Email: xyang43@emory.edu.
REFERENCES
- 1.Yoshioka Y. Current status and perspectives of brachytherapy for prostate cancer. Int J Clin Oncol 2009; 14: 31–6. doi: 10.1007/s10147-008-0866-z [DOI] [PubMed] [Google Scholar]
- 2.Peach MS, Trifiletti DM, Libby B. Systematic review of focal prostate brachytherapy and the future implementation of image-guided prostate HDR brachytherapy using MR-Ultrasound fusion. Prostate Cancer 2016; 2016: 1–13. doi: 10.1155/2016/4754031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Scherr D, Swindle PW, Scardino PT. National comprehensive cancer network guidelines for the management of prostate cancer. Urology 2003; 61(2, Supplement): 14–24. doi: 10.1016/S0090-4295(02)02395-6 [DOI] [PubMed] [Google Scholar]
- 4.Zaorsky NG, Doyle LA, Yamoah K, Andrel JA, Trabulsi EJ, Hurwitz MD, et al. High dose rate brachytherapy boost for prostate cancer: a systematic review. Cancer Treat Rev 2014; 40: 414–25. doi: 10.1016/j.ctrv.2013.10.006 [DOI] [PubMed] [Google Scholar]
- 5.Yoshioka Y, Yoshida K, Yamazaki H, Nonomura N, Ogawa K. The emerging role of high-dose-rate (HDR) brachytherapy as monotherapy for prostate cancer. J Radiat Res 2013; 54: 781–8. doi: 10.1093/jrr/rrt027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Chapman CH, Braunstein SE, Pouliot J, Noworolski SM, Weinberg V, Cunha A, et al. Phase I study of dose escalation to dominant intraprostatic lesions using high-dose-rate brachytherapy. J Contemp Brachytherapy 2018; 10: 193–201. doi: 10.5114/jcb.2018.76881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Guimond E, Lavallée M-C, Foster W, Vigneault Éric, Guay K, Martin A-G. Impact of a dominant intraprostatic lesion (DIL) boost defined by sextant biopsy in permanent I-125 prostate implants on biochemical disease free survival (bDFS) and toxicity outcomes. Radiotherapy and Oncology 2019; 133: 62–7. doi: 10.1016/j.radonc.2018.12.027 [DOI] [PubMed] [Google Scholar]
- 8.Wise AM, Stamey TA, McNeal JE, Clayton JL. Morphologic and clinical significance of multifocal prostate cancers in radical prostatectomy specimens. Urology 2002; 60: 264–9. doi: 10.1016/S0090-4295(02)01728-4 [DOI] [PubMed] [Google Scholar]
- 9.Arrayeh E, Westphalen AC, Kurhanewicz J, Roach M, Jung AJ, Carroll PR, et al. Does local recurrence of prostate cancer after radiation therapy occur at the site of primary tumor? results of a longitudinal MRI and MRSI study. Int J Radiat Oncol Biol Phys 2012; 82: e787–93. doi: 10.1016/j.ijrobp.2011.11.030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Dearnaley DP, Sydes MR, Graham JD, Aird EG, Bottomley D, Cowan RA, et al. Escalated-dose versus standard-dose conformal radiotherapy in prostate cancer: first results from the MRC RT01 randomised controlled trial. Lancet Oncol 2007; 8: 475–87. doi: 10.1016/S1470-2045(07)70143-2 [DOI] [PubMed] [Google Scholar]
- 11.Gomez-Iturriaga A, Casquero F, Urresola A, Ezquerro A, Lopez JI, Espinosa JM, et al. Dose escalation to dominant intraprostatic lesions with MRI-transrectal ultrasound fusion High-Dose-Rate prostate brachytherapy. prospective phase II trial. Radiotherapy and Oncology 2016; 119: 91–6. doi: 10.1016/j.radonc.2016.02.004 [DOI] [PubMed] [Google Scholar]
- 12.Murray LJ, Lilley J, Thompson CM, Cosgrove V, Mason J, Sykes J, et al. Prostate stereotactic ablative radiation therapy using volumetric modulated Arc therapy to dominant intraprostatic lesions. International Journal of radiation oncology, biology. Physics 2014; 89: 406–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.D'Ambrosio DJ, Pollack A, Harris EER, Price RA, Roach M, Roach M, et al. Assessment of external beam radiation technology for dose escalation and normal tissue protection in the treatment of prostate cancer. Int J Radiat Oncol Biol Phys 2008; 70: 671–7. doi: 10.1016/j.ijrobp.2007.09.034 [DOI] [PubMed] [Google Scholar]
- 14.Wang T, Press RH, Giles M, Jani AB, Rossi P, Lei Y, et al. Multiparametric MRI-guided dose boost to dominant intraprostatic lesions in CT-based High-dose-rate prostate brachytherapy. Br J Radiol 2019; 92: 20190089. doi: 10.1259/bjr.20190089 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Pickett B, Vigneault E, Kurhanewicz J, Verhey L, Roach M. Static field intensity modulation to treat a dominant intra-prostatic lesion to 90 Gy compared to seven field 3-dimensional radiotherapy. Int J Radiat Oncol Biol Phys 1999; 44: 921–9. doi: 10.1016/S0360-3016(98)00502-1 [DOI] [PubMed] [Google Scholar]
- 16.Abdellatif A, Craig J, Jensen M, Mulligan M, Mosalaei H, Bauman G, et al. Experimental assessments of intrafractional prostate motion on sequential and simultaneous boost to a dominant intraprostatic lesion. Med Phys 2012; 39: 1505–17. doi: 10.1118/1.3685586 [DOI] [PubMed] [Google Scholar]
- 17.Ciabatti S, Ntreta M, Buwenge M, Gaudiano C, Sessagesimi E, Romani F, et al. Dominant intraprostatic lesion boosting in sexual-sparing radiotherapy of prostate cancer: a planning feasibility study. Medical Dosimetry 2019; 44: 356–64. doi: 10.1016/j.meddos.2019.01.008 [DOI] [PubMed] [Google Scholar]
- 18.Mason J, Al-Qaisieh B, Bownes P, Wilson D, Buckley DL, Thwaites D, et al. Multi-Parametric MRI-guided focal tumor boost using HDR prostate brachytherapy: a feasibility study. Brachytherapy 2014; 13: 137–45. doi: 10.1016/j.brachy.2013.10.011 [DOI] [PubMed] [Google Scholar]
- 19.Housri N, Ning H, Ondos J, Choyke P, Camphausen K, Citrin D, et al. Parameters favorable to Intraprostatic radiation dose escalation in men with localized prostate cancer. Int J Radiat Oncol Biol Phys 2011; 80: 614–20. doi: 10.1016/j.ijrobp.2010.06.050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Oermann EK, Slack RS, Hanscom HN, Lei S, Suy S, Park HU, et al. A pilot study of intensity modulated radiation therapy with hypofractionated stereotactic body radiation therapy (SBRT) boost in the treatment of intermediate- to high-risk prostate cancer. Technol Cancer Res Treat 2010; 9: 453–62. doi: 10.1177/153303461000900503 [DOI] [PubMed] [Google Scholar]
- 21.Spratt DE, Scala LM, Folkert M, Voros L, Cohen Gil’ad N., Happersett L, et al. A comparative dosimetric analysis of virtual stereotactic body radiotherapy to high-dose-rate monotherapy for intermediate-risk prostate cancer. Brachytherapy 2013; 12: 428–33. doi: 10.1016/j.brachy.2013.03.003 [DOI] [PubMed] [Google Scholar]
- 22.Georg D, Hopfgartner J, Gora J, Kuess P, Kragl G, Berger D, et al. Dosimetric considerations to determine the optimal technique for localized prostate cancer among external photon, proton, or carbon-ion therapy and high-dose-rate or low-dose-rate brachytherapy. International Journal of radiation oncology, biology. Physics 2014; 88: 715–22. [DOI] [PubMed] [Google Scholar]
- 23.Yang X, Rossi P, Mao H, Jani AB, Ogunleye T, Curran WJ, et al. eds.A MR-TRUS registration method for ultrasound-guided prostate interventions. SPIE Medical Imaging 2015;SPIE. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Sheets NC, Goldin GH, Meyer A-M, Wu Y, Chang Y, Stürmer T, et al. Intensity-Modulated radiation therapy, proton therapy, or conformal radiation therapy and morbidity and disease control in localized prostate cancer. JAMA 2012; 307: 1611–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zietman AL, Bae K, Slater JD, Shipley WU, Efstathiou JA, Coen JJ, et al. Randomized trial comparing conventional-dose with high-dose conformal radiation therapy in early-stage adenocarcinoma of the prostate: long-term results from proton radiation oncology group/american College of radiology 95-09. Journal of Clinical Oncology 2010; 28: 1106–11. doi: 10.1200/JCO.2009.25.8475 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Andrzejewski P, Kuess P, Knäusl B, Pinker K, Georg P, Knoth J, et al. Feasibility of dominant intraprostatic lesion boosting using advanced photon-, proton- or brachytherapy. Radiotherapy and Oncology 2015; 117: 509–14. doi: 10.1016/j.radonc.2015.07.028 [DOI] [PubMed] [Google Scholar]
- 27.Yeo I, Nookala P, Gordon I, Schulte R, Barnes S, Ghebremedhin A, et al. Passive proton therapy vs. IMRT planning study with focal boost for prostate cancer. Radiat Oncol 2015; 10: 213. doi: 10.1186/s13014-015-0522-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Fellin F, Azzeroni R, Maggio A, Lorentini S, Cozzarini C, Di Muzio N, et al. Helical tomotherapy and intensity modulated proton therapy in the treatment of dominant intraprostatic lesion: a treatment planning comparison. Radiother Oncol 2013; 107: 207–12. doi: 10.1016/j.radonc.2013.02.016 [DOI] [PubMed] [Google Scholar]
- 29.Rischke HC, Nestle U, Fechter T, Doll C, Volegova-Neher N, Henne K, et al. 3 Tesla multiparametric MRI for GTV-definition of Dominant Intraprostatic Lesions in patients with Prostate Cancer--an interobserver variability study. Radiat Oncol 2013; 8: 183–83. doi: 10.1186/1748-717X-8-183 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Dickinson L, Ahmed HU, Allen C, Barentsz JO, Carey B, Futterer JJ, et al. Magnetic resonance imaging for the detection, localisation, and characterisation of prostate cancer: recommendations from a European consensus meeting. Eur Urol 2011; 59: 477–94. doi: 10.1016/j.eururo.2010.12.009 [DOI] [PubMed] [Google Scholar]
- 31.Pinkawa M, Eble MJ, Mottaghy FM. Pet and PET/CT in radiation treatment planning for prostate cancer. Expert Rev Anticancer Ther 2011; 11: 1035–41. doi: 10.1586/era.11.51 [DOI] [PubMed] [Google Scholar]
- 32.Ling CC, Humm J, Larson S, Amols H, Fuks Z, Leibel S, et al. Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality. Int J Radiat Oncol Biol Phys 2000; 47: 551–60. doi: 10.1016/S0360-3016(00)00467-3 [DOI] [PubMed] [Google Scholar]
- 33.Bauman G, Haider M, Van der Heide UA, Ménard C. Boosting imaging defined dominant prostatic tumors: a systematic review. Radiotherapy and Oncology 2013; 107: 274–81. doi: 10.1016/j.radonc.2013.04.027 [DOI] [PubMed] [Google Scholar]
- 34.van Schie MA, Dinh CV, Houdt PJvan, Pos FJ, Heijmink SWTJP, Kerkmeijer LGW, et al. Contouring of prostate tumors on multiparametric MRI: evaluation of clinical delineations in a multicenter radiotherapy trial. Radiother Oncol 2018; 128: 321–6. doi: 10.1016/j.radonc.2018.04.015 [DOI] [PubMed] [Google Scholar]
- 35.Monninkhof EM, van Loon JWL, van Vulpen M, Kerkmeijer LGW, Pos FJ, Haustermans K, et al. Standard whole prostate gland radiotherapy with and without lesion boost in prostate cancer: toxicity in the flame randomized controlled trial. Radiotherapy and Oncology 2018; 127: 74–80. doi: 10.1016/j.radonc.2017.12.022 [DOI] [PubMed] [Google Scholar]
- 36.Zamboglou C, Thomann B, Koubar K, Bronsert P, Krauss T, Rischke HC, et al. Focal dose escalation for prostate cancer using 68Ga-HBED-CC PSMA PET/CT and MRI: a planning study based on histology reference. Radiation Oncology 2018; 13: 81. doi: 10.1186/s13014-018-1036-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Brame RS, Zaider M, Zakian KL, Koutcher JA, Shukla-Dave A, Reuter VE, et al. Regarding the focal treatment of prostate cancer: inference of the Gleason grade from magnetic resonance spectroscopic imaging.. Int J Radiat Oncol Biol Phys 2009; 74: 110–4. doi: 10.1016/j.ijrobp.2008.07.055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Turkbey B, Albert PS, Kurdziel K, Choyke PL. Imaging localized prostate cancer: current approaches and new developments. AJR Am J Roentgenol 2009; 192: 1471–80. doi: 10.2214/AJR.09.2527 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Lee WR, Dignam JJ, Amin MB, Bruner DW, Low D, Swanson GP, et al. Randomized phase III Noninferiority study comparing two radiotherapy fractionation schedules in patients with low-risk prostate cancer. J Clin Oncol 2016; 34: 2325–32. doi: 10.1200/JCO.2016.67.0448 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Nahum A, Sanchez-NIeto B. Tumour control probability modelling: basic principles and applications in treatment planning. Physica Medica 2001; 17(Suppl2): 11. [Google Scholar]
- 41.Kutcher GJ, Burman C. Calculation of complication probability factors for non-uniform normal tissue irradiation: the effective volume method gerald. Int J Radiat Oncol Biol Phys 1989; 16: 1623–30. doi: 10.1016/0360-3016(89)90972-3 [DOI] [PubMed] [Google Scholar]
- 42.Niemierko A. Reporting and analyzing dose distributions: a concept of equivalent uniform dose. Med Phys 1997; 24: 103–10. doi: 10.1118/1.598063 [DOI] [PubMed] [Google Scholar]
- 43.Lyman JT. Complication probability as assessed from Dose-Volume histograms. Radiat Res 1985; 104: S13–19. doi: 10.2307/3576626 [DOI] [PubMed] [Google Scholar]
- 44.Fowler JF. Sensitivity analysis of parameters in linear-quadratic radiobiologic modeling. International Journal of radiation oncology, biology. Physics 2009; 73: 1532–7. [DOI] [PubMed] [Google Scholar]
- 45.Nag S, Gupta N. A simple method of obtaining equivalent doses for use in HDR brachytherapy. International Journal of radiation oncology, biology. Physics 2000; 46: 507–13. [DOI] [PubMed] [Google Scholar]
- 46.Uzan J, Nahum AE. Radiobiologically guided optimisation of the prescription dose and fractionation scheme in radiotherapy using BioSuite. Br J Radiol 2012; 85: 1279–86. doi: 10.1259/bjr/20476567 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Nutting CM, Corbishley CM, Sanchez-Nieto B, Cosgrove VP, Webb S, Dearnaley DP. Potential improvements in the therapeutic ratio of prostate cancer irradiation: dose escalation of pathologically identified tumour nodules using intensity modulated radiotherapy. Br J Radiol 2002; 75: 151–61. doi: 10.1259/bjr.75.890.750151 [DOI] [PubMed] [Google Scholar]
- 48.Zamboglou C, Sachpazidis I, Koubar K, Drendel V, Wiehle R, Kirste S, et al. Evaluation of intensity modulated radiation therapy dose painting for localized prostate cancer using 68Ga-HBED-CC PSMA-PET/CT: A planning study based on histopathology reference. Radiother Oncol 2017; 123: 472–7. doi: 10.1016/j.radonc.2017.04.021 [DOI] [PubMed] [Google Scholar]
- 49.Michalski JM, Gay H, Jackson A, Tucker SL, Deasy JO. Radiation dose-volume effects in radiation-induced rectal injury. Int J Radiat Oncol Biol Phys 2010; 76(3 Suppl): S123–9. doi: 10.1016/j.ijrobp.2009.03.078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Viswanathan AN, Yorke ED, Marks LB, Eifel PJ, Shipley WU. Radiation dose-volume effects of the urinary bladder. Int J Radiat Oncol Biol Phys 2010; 76(3 Suppl): S116–22. doi: 10.1016/j.ijrobp.2009.02.090 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Burman C, Kutcher GJ, Emami B, Goitein M. Fitting of normal tissue tolerance data to an analytic function. Int J Radiat Oncol Biol Phys 1991; 21: 123–35. doi: 10.1016/0360-3016(91)90172-Z [DOI] [PubMed] [Google Scholar]
- 52.Michalski JM, Gay H, Jackson A, Tucker SL, Deasy JO. Radiation dose-volume effects in radiation-induced rectal injury. Int J Radiat Oncol Biol Phys 2010; 76(3, Supplement): S123–9. doi: 10.1016/j.ijrobp.2009.03.078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Panettieri V, Rancati T, Onjukka E, Smith RL, Ebert MA, Joseph DJ, et al. PV-0321: influence of urethra contouring on Ntcp models predicting urethral strictures in prostate HDRB. Radiotherapy and Oncology 2018; 127: S170. doi: 10.1016/S0167-8140(18)30631-5 [DOI] [Google Scholar]
- 54.Schulte RW, Li T. Innovative strategies for image-guided proton treatment of prostate cancer. Technol Cancer Res Treat 2006; 5: 91–100. doi: 10.1177/153303460600500203 [DOI] [PubMed] [Google Scholar]
- 55.Pedersen J, Casares-Magaz O, Petersen JBB, Rørvik J, Bentzen L, Andersen AG, et al. A biological modelling based comparison of radiotherapy plan robustness using photons vs protons for focal prostate boosting. Physics and Imaging in Radiation Oncology 2018; 6: 101–5. doi: 10.1016/j.phro.2018.06.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Vainshtein J, Abu-Isa E, Olson KB, Ray ME, Sandler HM, Normolle D, et al. Randomized phase II trial of urethral sparing intensity modulated radiation therapy in low-risk prostate cancer: implications for focal therapy. Radiat Oncol 2012; 7: 82. doi: 10.1186/1748-717X-7-82 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Merrick GS, Wallner KE, Butler WM. Permanent interstitial brachytherapy for the management of carcinoma of the prostate gland. Journal of Urology 2003; 169: 1643–52. doi: 10.1097/01.ju.0000035544.25483.61 [DOI] [PubMed] [Google Scholar]
- 58.Craft D, Khan F, Young M, Bortfeld T. The price of target dose uniformity. Int J Radiat Oncol Biol Phys 2016; 96: 913–4. doi: 10.1016/j.ijrobp.2016.07.033 [DOI] [PubMed] [Google Scholar]
- 59.Goitein M. Causes and consequences of inhomogeneous dose distributions in radiation therapy. International Journal of radiation oncology, biology. Physics 1986; 12: 701–4. [DOI] [PubMed] [Google Scholar]
- 60.Sun L, Smith W, Ghose A, Kirkby C. A quantitative assessment of the consequences of allowing dose heterogeneity in prostate radiation therapy planning. J Appl Clin Med Phys 2018; 19: 580–90. doi: 10.1002/acm2.12424 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Yamada Y, Rogers L, Demanes DJ, Morton G, Prestidge BR, Pouliot J, et al. American brachytherapy Society consensus guidelines for high-dose-rate prostate brachytherapy. Brachytherapy 2012; 11: 20–32. doi: 10.1016/j.brachy.2011.09.008 [DOI] [PubMed] [Google Scholar]
- 62.King CR, Brooks JD, Gill H, Presti JC. Long-Term outcomes from a prospective trial of stereotactic body radiotherapy for low-risk prostate cancer. Int J Radiat Oncol Biol Phys 2012; 82: 877–82. doi: 10.1016/j.ijrobp.2010.11.054 [DOI] [PubMed] [Google Scholar]
- 63.Moltzahn F, Dal Pra A, Furrer M, Thalmann G, Spahn M. Urethral strictures after radiation therapy for prostate cancer. Investig Clin Urol 2016; 57: 309–15. doi: 10.4111/icu.2016.57.5.309 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Mohammed N, Kestin L, Ghilezan M, Krauss D, Vicini F, Brabbins D, et al. Comparison of acute and late toxicities for three modern high-dose radiation treatment techniques for localized prostate cancer. International Journal of radiation oncology, biology. Physics 2012; 82: 204–12. [DOI] [PubMed] [Google Scholar]
- 65.Gloi AM, Buchanan R. Dosimetric assessment of prostate cancer patients through principal component analysis (PCA. Journal of Applied Clinical Medical Physics 2013; 14: 40–9. doi: 10.1120/jacmp.v14i1.3882 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Cuaron JJ, Harris AA, Chon B, Tsai H, Larson G, Hartsell WF, et al. Anterior-oriented proton beams for prostate cancer: a multi-institutional experience. Acta Oncol 2015; 54: 868–74. doi: 10.3109/0284186X.2014.986288 [DOI] [PubMed] [Google Scholar]
- 67.Marks LB, Yorke ED, Jackson A, Ten Haken RK, Constine LS, Eisbruch A, et al. Use of normal tissue complication probability models in the clinic. International Journal of radiation oncology, biology. Physics 2010; 76(3 Suppl): S10–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tommasino F, Nahum A, Cella L. Increasing the power of tumour control and normal tissue complication probability modelling in radiotherapy: recent trends and current issues. Transl Cancer Res 2017; 6(S5): S807–21. doi: 10.21037/tcr.2017.06.03 [DOI] [Google Scholar]
- 69.Bentzen SM, Constine LS, Deasy JO, Eisbruch A, Jackson A, Marks LB, et al. Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues. Int J Radiat Oncol Biol Phys 2010; 76: S3–9. doi: 10.1016/j.ijrobp.2009.09.040 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Barrett T, Gill AB, Kataoka MY, Priest AN, Joubert I, McLean MA, et al. DCE and DW MRI in monitoring response to androgen deprivation therapy in patients with prostate cancer: a feasibility study. Magnetic Resonance in Medicine 2012; 67: 778–85. doi: 10.1002/mrm.23062 [DOI] [PubMed] [Google Scholar]
- 71.Alonzi R, Padhani AR, Taylor NJ, Collins DJ, D'Arcy JA, Stirling JJ, et al. Antivascular effects of neoadjuvant androgen deprivation for prostate cancer: an in vivo human study using susceptibility and relaxivity dynamic MRI. Int J Radiat Oncol Biol Phys 2011; 80: 721–7. doi: 10.1016/j.ijrobp.2010.02.060 [DOI] [PubMed] [Google Scholar]
- 72.Yang X, Jani AB, Rossi PJ, Mao H, Curran WJ, Liu T. A MRI-CT prostate registration using sparse representation technique. SPIE Medical Imaging 2016; 9786: 8. [Google Scholar]
- 73.Rivest-Hénault D, Dowson N, Greer PB, Fripp J, Dowling JA. Robust inverse-consistent affine CT–MR registration in MRI-assisted and MRI-alone prostate radiation therapy. Med Image Anal 2015; 23: 56–69. doi: 10.1016/j.media.2015.04.014 [DOI] [PubMed] [Google Scholar]
- 74.Xia P, Pickett B, Vigneault E, Verhey LJ, Roach M. 3Rd. forward or inversely planned segmental multileaf collimator IMRT and sequential tomotherapy to treat multiple dominant intraprostatic lesions of prostate cancer to 90 Gy. International Journal of radiation oncology, biology. Physics 2001; 51: 244–54. [DOI] [PubMed] [Google Scholar]