Intrafractional dose variation and beam configuration in carbon ion radiotherapy for esophageal cancer

Abstract

Background

In carbon ion radiotherapy (CIR) for esophageal cancer, organ and target motion is a major challenge for treatment planning due to potential range deviations. This study intends to analyze the impact of intrafractional variations on dosimetric parameters and to identify favourable settings for robust treatment plans.

Methods

We contoured esophageal boost volumes in different organ localizations for four patients and calculated CIR-plans with 13 different beam geometries on a free-breathing CT. Forward calculation of these plans was performed on 4D-CT datasets representing seven different phases of the breathing cycle. Plan quality was assessed for each patient and beam configuration.

Results

Target volume coverage was adequate for all settings in the baseline CIR-plans (V₉₅ > 98% for two-beam geometries, > 94% for one-beam geometries), but reduced on 4D-CT plans (V₉₅ range 50–95%). Sparing of the organs at risk (OAR) was adequate, but range deviations during the breathing cycle partly caused critical, maximum doses to spinal cord up to 3.5x higher than expected. There was at least one beam configuration for each patient with appropriate plan quality.

Conclusions

Despite intrafractional motion, CIR for esophageal cancer is possible with robust treatment plans when an individually optimized beam setup is selected depending on tumor size and localization.

Background

Radiotherapy is a central component of neoadjuvant or definitive concepts in multimodality treatment of esophageal cancer [1, 2]. Despite several different approaches to improve outcome over the past years by treatment intensification through radiation dose escalation or the addition of novel systemic agents [3, 4], a major improvement has not been accomplished yet resulting in a constantly high mortality rate for esophageal cancer patients.

For standard photon-based irradiation, intensity-modulated radiotherapy (IMRT) is recommended to provide a reasonable dose conformity to the target volume [5] and has facilitated integrated boost concepts in definitive treatment regimens [6]. Charged particle radiotherapy with carbon ions has been introduced as a new approach to improve radiooncological treatment strategies with a high relative biological effectiveness (RBE) and a high linear energy transfer (LET) compared to conventional photon-based irradiation. Clinical benefit of carbon ion radiotherapy (CIR) has already been demonstrated for other tumor entities [7, 8]. For esophageal cancer, there are some in vitro studies with CIR [9–11] as well as one clinical phase I/II trial from Japan showing first encouraging results [12]. Studies with proton radiotherapy for lung tumors revealed a big impact of organ and tumor motion on intrafractional dose distribution in particle irradiation potentially resulting in a severe underdosage of the target volume [13, 14].

The purpose of this study is to generate a better understanding of the effects of organ and target motion in carbon ion radiotherapy for esophageal cancer and to identify appropriate treatment planning settings for different target localizations within the esophagus providing adequate dose robustness, target volume coverage and sparing of the organs at risk (OAR). Our study uses CIR as a boost treatment of the primary tumor on the basis of beneficial bimodal treatment in other entities [8] and preparative to a clinical trial combining a carbon ion boost and elective IMRT of the lymphatic pathways.

Methods

Preceding data collection, the study was approved by the institutional ethical review committee.

Patients and atasets

We retrospectively selected four 4D-CT datasets from patients that have been treated with stereotactic body radiotherapy (SBRT) for lung malignancies at our institution (patient 1: 81 year old female, lung cancer in upper right lobe with 19 mm maximum diameter; patient 2: 90 year old male, lung metastasis from renal cell carcinoma in lower left lobe with 65 mm maximum diameter; patient 3: 81 year old female, lung metastasis from rectal cancer in upper right lobe with 39 mm maximum diameter; patient 4: 71 year old male, lung cancer in lower right lobe with 17 mm maximum diameter). Each of these CT datasets consisted of one free-breathing planning CT and seven co-registered 4D-CTs in different phases of the breathing cycle (three inspiratory: In25%, In50%, In75%; four exspiratory: Ex0%, Ex40%, Ex70%, Ex100%). CT scans were performed with patients in supine position with elevated arms and without abdominal compression. Slice thickness was 3 or 5 mm for the planning CT and 3 mm for the 4D-CT scans. Comparability of Hounsfield Units (HU) between planning CT and 4D-phases was guaranteed by calculating histograms of HU values to ensure a minimal systematic range deviation error.

Target volumes and constraints

For each patient a certain section of the esophagus was defined as fictive gross tumor volume (GTV) on the free-breathing planning CT representing esophageal cancer. Consecutively, we added a caudal and cranial margin of 20 mm and a circumferential margin of 10–15 mm to obtain a boost planning target volume (PTV). To simulate variable planning scenarios with altering topographic conditions, target volumes were defined in different sizes and locations (patient 1: upper esophagus/cranio-caudal GTV extent: 20 mm/PTV volume: 47.8 ml; patient 2: middle esophagus/cranio-caudal GTV extent: 50 mm/PTV volume: 92.3 ml; patient 3: lower esophagus/cranio-caudal GTV extent: 50 mm, PTV volume: 91.7 ml; patient 4: lower esophagus/cranio-caudal GTV extent: 70 mm/PTV volume: 223.3 ml). Organs at risk (OAR) such as lung, heart, stomach or spinal cord were contoured on the free-breathing planning CT. All mentioned structures were consecutively transferred to the different 4D-CTs by elastic registration with minor manual corrections afterwards. Contouring and transformation of structures was performed with a dedicated software (OnQ rts v2.0, Oncology Systems Limited, Shrewsbury, UK).

Treatment planning

Treatment plans with 13 different field geometries (geometry 1–13; 4× one field, 9× two fields; couch fixed, gantry angles varied) were generated (Fig. 1) for each patient on the planning CT. Optimization of the fluences were performed with TriP-98 (GSI Helmoltzzentrum fuer Schwerionenforschung, Darmstadt, Germany) using the all-points dose calculation algorithm and low-dose LEM (local effect model) approximation. In two-field geometries, both fields were weighted equally. Secondly, forward dose calculation was performed separately for each 4D-CT (‘quasi-static’). Hence, no motion interplay was introduced. Planning CT and 4D-CT were acquired in the same imaging session, therefore the patient was in the same coordinate system. Correct position of the bony anatomy was reviewed. Forward calculation of the treatment plan was performed with TRiP-98 using the unmodified plan created in the optimization and using the same target point as before. Because of the large target volume of patient 4 we subsampled the dose calculation grid in the optimization step and then returned to full dose calculation in the forward calculation. Smearing margins technique was not used.

Fig. 1.

Overview of all 13 beam geometries with specifications of the according gantry angles (GA)

Plan evaluation

Indices for PTV dosage were the volume that receives at least 95% of the prescribed dose (PTV V_95%), the volume that receives more than 107% of the prescribed dose (PTV V_107%), the median dose (PTV D_median), the maximum dose (PTV D_max), conformity index (CI) and homogenity index (HI). CI [15] and HI [16, 17] were defined as follows:

$\mathrm{C}\mathrm{I}=\frac{{\displaystyle \int dVD\left(x,y,z\right)}}{{\displaystyle \int dVD\left(x,y,z\right)}},0<CI<1$; (Integrated dose in PTV divided by integrated dose in whole body).

$\mathrm{H}\mathrm{I}=\frac{D_5-D_{95}}{D_{\mathit{Prescribed}}}$; (D_5% - D_95% in PTV divided by prescribed dose D_P , modified based on Wu et al. [16]).

Further plan quality criteria were defined by compliance with constraints for relevant OAR: the lung volume receiving 20% of the prescribed dose or less (V_20%) < 20%, spinal cord D_max < 60%, mean heart dose < 30% for PTVs with major height overlap with the heart volume (i.e. tumors located in the distal esophagus) and < 10% for PTVs with minor or no height overlap (i.e. proximal tumors).

To carve out the optimal beam geometry for each patient the first step included the selection of six geometries with the best characteristics considering coverage/conformity and homogeneity. In a second step, these six geometries were evaluated by performance of sparing the OARs. In case of multiple geometries meeting all constraints importance ranking of the OARs was: lungs > heart > spinal cord. The optimal beam configuration for each patient was defined as the geometry in the top spot after this two-step evaluation process.

Results

Static planning CT

PTV V_95% was > 98% for all two-field geometries and > 94% for all one-field geometries. PTV V_107% was < 0.3% for all two-field geometries and < 1.2% for all one-field geometries. PTV D_median was 99.6 ± 0.5% of the prescribed dose independent from geometry. PTV D_max was < 120% of the prescribed dose except for Geometry 2 (122%) and Geometry 11 (133 %) in patient 4. CI was > 0.82 for all one-field geometries and >0.90 for all two-field geometries. HI was < 9.5% for all one-field geometries and < 6% for all two-beam geometries. In terms of OAR sparing, the lung V_20% was < 22% in all settings. Further, D_max of the spinal cord was < 78% of the prescribed dose for all plans. Mean heart dose was < 1% for patient 3 and < 37% for all other patients.

4D-CTs

PTV V_95% was reduced compared to the planning CT and ranged between 50 and 95 % in patients 2, 3 and 4 and 80–98% in patient 1. In particular, geometries 5, 8, 12 and 13 performed poorly. PTV V_107% was below 7% in most cases, except for geometry 5, which showed hot spots in up to 18% of the target volume. PTV Median dose was 98.3 ± 3.3% and mean dose was 96.7 ± 6.7%. PTV D_max ranged between 110 and 123.3 % for most cases but could reach up to 136.7% (patient 4, geo11). Conformity Index was reduced, patient 1: CI 65–85%, patients 2 and 3: CI 35–80%, patient 4: CI 50–85%. In geometries 1, 2, 9, 10 and 11, the CI is > 65% for all patients. Homogeneity Index is also depending on the patient, patient 1: 5–25%, patient 2: 25–50%, patient 3: 15–80%, patient 4: 5–25% (except for geometry 3 with up to 70%). Including all 4D-CT phases Fig. 2 shows boxplots for the mentioned PTV parameters according to beam geometry for all patients.

Fig. 2.

Boxplots for PTV-related a) V_95% b) V_107% c) conformity index (CI) and d) homogeneity index (HI) for every patient as a function of beam geometry including dosimetric information from treatment plans of all seven 4D-CT phases

Boxplots for the relevant OAR constraints depending on beam geometry and breathing phase are shown in Fig. 3. For all geometries and 4D-CT phases the relevant OAR dose parameters did not diverge significantly from those calculated for the static planning CT except for D_max of the spinal cord in some scenarios. Figure 4 exemplifies a significant dose overshoot due to a minor heart deformation in the 4D-CT (patient 3, geo8, phase Ex0%) compared to the initial planning CT dose distribution resulting in a critical increase of D_max in the spinal cord from expected 16.7 % of the prescribed dose to up to 60%.

Fig. 3.

Boxplots for a) V_20% of the left lung b) V_20% of the right lung c) D_max of the spinal cord and d) mean heart dose for every patient as a function of beam geometry including dosimetric information from treatment plans of all seven 4D-CT phases

Fig. 4.

Dose distribution for patient 3 with geo8 calculated a) on the free-breathing planning CT and b) on the 4D-CT phase Ex0% with a critical overshoot due to slight variations of the left heart contour (arrow)

Optimal beam configurations

Geometries 1, 2, 7, 9, 10 and 11 were universally found to result in reliable treatment plans for all patients, based on PTV V_95% and Conformity Index, the largest difference being the dose to the organs at risk. Taking this into account, geometry 1 yields the optimal one-field treatment plan for each patient, with low doses to lungs and spinal cord and tolerable mean doses to the heart. Using two fields, the optimal plan configurations were more dependent on the individual patient and PTV location: geometry 10 for patient 2, geometry 9 for patient 3 and geometry 7 for patient 4 (Fig. 5). In patient 1, geometry 5 would be the optimal two-field treatment plan, but it is outperformed by the single-field treatment plan (geometry 1) due to a large PTV D_max and PTV V_107%.

Fig. 5.

Optimal beam configuration for a) patient 1 (geo1), b) patient 2 (geo10), c) patient 3 (geo9) and d) patient 4 (geo7)

Discussion

The free-breathing planning CT is rather a merge of different anatomical situations over the breathing cycle than specifically corresponding to one of the quasi-static 4D phases. Consequently, the general reduction of plan quality in all forward calculated 4D-plans regardless of the beam geometry was expected. However, the dimension of quality loss strongly varied depending on target volume localization and beam configuration and mainly affected PTV-related parameters such as coverage or adequate dosage. In comparison, the impact on sparing of the organs at risk was slightly lower, especially for mean doses of parallel OAR, though high maximum doses to the spinal cord could be a crucial problem.

We presented one favored beam geometry for each patient or tumor site, respectively. However, there were further, suitable beam sets with only minimal limitations compared to the optimal plan configuration. Accordingly, there is a selection of beam configurations for each tumor localization along the esophagus and specific anatomy and tumor characteristics may contribute to determining the optimal plan setting for each individual patient. Basically, strictly anterior or posterior beam directions are favorable for tumors localized in the upper two thirds of the esophagus whereas a combination of dorsal beam angles may be advantageous for targets in the distal esophagus when it comes to optimizing the mean heart dose.

Intrafractional motion-induced variations potentially result in geometric misses because of target structures leaving the high dose area. This problem concerns both photon-based and particle radiotherapy. From several studies based on 4D-CT measurements or fiducial-based approaches we know that especially the distal esophagus is mobile in the cranio-caudal direction up to 16 mm dependent on breathing motion [18–21]. In an analysis of gross tumor volume (GTV) and internal tumor volume (ITV) of carcinomas of the gastro-esophageal junction, Zhao et al. showed that ITVs were 72% larger on average and up to 172% larger at maximum than the corresponding GTVs and proposed asymmetrical margins up to 16 mm inferior towards the stomach [22].

Further, motion-induced variations are a particular difficulty for particle radiotherapy due to altering density profiles alongside the radiation beam track resulting in range deviations and displaced spread-out Bragg peaks (SOBP). Especially the thoracic topography with moving and close-by located tissues of low (lung) and rather high density (e.g. heart or diaphragm) puts up a challenge for creating robust radiation treatment plans. Severe range deviations may lead to critical dose peaks in OAR as demonstrated for patient 2 (Fig. 4). Similar effects have been shown by Zhang et al. for proton irradiation due to different stomach gas fillings with D_max increases of more than 10% to the spinal cord [23].

Several different approaches in particle radiation planning have been introduced to control the mentioned problems. The gating technique has predominantly been established for photon-based irradiation and might be a promising approach in CIR of moving tumors combined with rescanning [24, 25]. Other compensation strategies include dose smearing as analyzed for proton irradiation of lung tumors [14, 26] or increasing the beam spot size which has demonstrated a potential compensatory benefit in CIR of liver tumors [27]. Some study groups have also investigated dose calculations on different planning CT phases for proton radiotherapy of lung tumors and presented suitable solutions [13, 14, 26]. However, there is lack of data concerning CIR planning for esophageal tumors in particular. We were able to show that the cornerstone for a robust treatment plan for these patients is accurate target volume definition and appropriate beam configuration respecting the individual anatomy, both based on 4D-CT information.

Of course, in the evaluation of treatment quality interfractional variations have to be considered as well. Internal changes in the patient such as location variability of the target structures, tumor response with consecutive volume reduction or non-tumor-related variations (e.g. pleural effusion) may lead to critical range deviations. Additionally, daily image guidance is recommended for photon-based radiotherapy [28] and mandatory for particle irradiation.

Pulmonary toxicity is one of the major problems in esophageal irradiation and increases perioperative morbidity in the neoadjuvant setting dependening on the radiation dose applied to the lungs [29] In particular, the volume that receives doses of 5 Gy or less is an important risk factor for the development of pulmonary complications [30]. Compared to intensity-modulated radiotherapy (IMRT), particle radiotherapy has the potential benefit to significantly reduce the lung volume receiving lower doses. For a PTV dose of 50.4 Gy and a GTV dose escalation up to 65.8 Gy, Welsh et al. showed a reduction of the mean lung dose from 8.27 Gy to 3.18 Gy in favor of proton treatment [31]. The analysis of the dose volume histograms (DVH) revealed that dose reduction was mainly attained by minimizing low dose areas. However, an optimal sparing of the lungs is often accomplished at the expense of a higher heart dose [23]. Several studies observed that radiotherapy potentially impairs functional cardiac parameters such as myocardial perfusion of the inferior left ventricle [32] or cardiac volume with hemodynamic impact [33]. Cardiac toxicity is probably underestimated in esophageal irradiation [34], but the level of clinical relevance of cardiac long-terms effects is unclear due to the limited prognosis of esophageal cancer. For both, pulmonary and cardiac toxicity, CIR has the potential to reduce mean organ doses hence improving the incidence and degree of side effects.

We presented suitable beam configurations for a carbon ion boost to the primary site in the esophagus. Valid and robust CIR for larger volumes like the regional lymphatic pathways treated with elective nodal irradiation (ENI) according to the current recommendations is considerably harder to achieve. However, in case of a further validation and more evidence for the safety of involved-field radiotherapy (IF-RT) in esophageal cancer patients resulting in smaller treatment volumes [35, 36], CIR has the potential to suitably cover tumor boost as well as lymphatic target volumes.

Clinical experience with particle radiotherapy for esophageal cancer is small. At MD Anderson Cancer Center Lin et al. treated 62 patients with proton radiotherapy combined with simultaneous chemotherapy in a definitive or neoadjuvant setting up to a median dose of 50.4 Gy and presented very low toxicity rates [37]. A phase I/II trial from Japan offers the only clinical experience of CIR in esophageal cancer patients available today [12]. In a neoadjuvant setting 31 patients were treated with cumulative doses between 28.8 Gy (RBE) and 36.8 Gy (RBE) in 8 fractions. An encouraging rate of pathological complete remission of 38.7% could be achieved with very low toxicity at the same time. However, PTV margins were defined rather small (GTV + 30 mm for cranial and caudal borders) and dose schemes do not meet current recommendations. Further research is necessary to define effective and safe dosage regimens for CIR. Special attention has to be paid to the esophagus itself as an organ at risk as well as the stomach for distal tumors being prone to complications with increased radiation dose [38].

Conclusion

Carbon ion radiotherapy for esophageal cancer is feasible with robust dose calculations when variable, intrafractional factors are considered that potentially impair plan quality. Depending on localization and size of the tumor there are several beam configurations that allow an adequate dose coverage and sparing of the organs at risk at the same time. In the future, prospective and randomized trials are necessary to determine the clinical impact of carbon ion radiotherapy on outcome and toxicity.

Abbreviations

CI

Conformity index

CIR

Carbon ion radiotherapy

CT

Computed tomography-based

DVH

Dose volume histograms

ENI

Elective nodal irradiation

GA

Gantry angle

GTV

Gross tumor volume

HI

Homogenity index

HU

Hounsfield Units

IF-RT

Involved-ield radiotherapy

IMRT

Intensity-modulated radiotherapy

ITV

Internal target volume

LEM

Local effect model

LET

Linear energy transfer (LET)

OAR

Organs at risk

PTV

Planning target volume

RBE

Relative biological effectiveness

SOBP

Spread-out Bragg peak