Investigation on the physical dose filtered by linear energy transfer for treatment plan evaluation in carbon ion therapy

Author:

Schafasand Mansure12,Resch Andreas Franz1,Nachankar Ankita13,Gora Joanna1,Traneus Erik4,Glimelius Lars4,Georg Dietmar12,Stock Markus15,Carlino Antonio1,Fossati Piero15

Affiliation:

1. MedAustron Ion Therapy Center Wiener Neustadt Austria

2. Department of Radiation Oncology Medical University of Vienna Vienna Austria

3. ACMIT Gmbh Wiener Neustadt Austria

4. RaySearch Laboratories AB Stockholm Sweden

5. Department of Oncology Karl Landsteiner University of Health Sciences Krems an der Donau Austria

Abstract

AbstractBackgroundLarge tumor size has been reported as a predicting factor for inferior clinical outcome in carbon ion radiotherapy (CIRT). Besides the clinical factors accompanied with such tumors, larger tumors receive typically more low linear energy transfer (LET) contributions than small ones which may be the underlying physical cause. Although dose averaged LET is often used as a single parameter descriptor to quantify the beam quality, there is no evidence that this parameter is the optimal clinical predictor for the complex mixed radiation fields in CIRT.PurposePurpose of this study was to investigate on a novel dosimetric quantity, namely high‐LET‐dose (, the physical dose filtered based on an LET threshold) as a single parameter estimator to differentiate between carbon ion treatment plans (cTP) with a small and large tumor volume.MethodsTen cTPs with a planning target volume, (large) and nine with a (small) were selected for this study. To find a reasonable LET threshold () that results in a significant difference in terms of , the voxel based normalized high‐LET‐dose () distribution in the clinical target volume (CTV) was studied on a subset (12 out of 19 cTPs) for 18 LET thresholds, using standard distribution descriptors (mean, variance and skewness).The classical dose volume histogram concept was used to evaluate the and distributions within the target of all 19 cTPs at the before determined . Statistical significance of the difference between the two groups in terms of mean and volume histogram parameters was evaluated by means of (two‐sided) t‐test or Mann‐Whitney‐U‐test. In addition, the minimum target coverage at the above determined was compared and validated against three other thresholds to verify its potential in differentiation between small and large volume tumors.ResultsAn of approximately was found to be a reasonable threshold to classify the two groups. At this threshold, the and were significantly larger () in small CTVs. For the small tumor group, the near‐minimum and median (and ) in the CTV were in average (0.31 ± 0.08) and (0.46 ± 0.06), respectively. For the large tumors, these parameters were (0.20 ± 0.01) and (0.28 ± 0.02). The difference between the two groups in terms of mean near‐minimum and median () was 2.7 Gy (11%) and 5.0 Gy (18%), respectively.ConclusionsThe feasibility of high‐LET‐dose based evaluation was shown in this study where a lower was found in cTPs with a large tumor size. Further investigation is needed to draw clinical conclusions. The proposed methodology in this work can be utilized for future high‐LET‐dose based studies.

Publisher

Wiley

Subject

General Medicine

Reference32 articles.

1. ICRU Report 85: Fundamental quantities and units for ionizing radiation;JICRU,2011

2. Carbon Ion Radiobiology

3. ICRU Report 78: Prescribing, Recording, and Reporting Proton‐Beam Therapy;JICRU,2007

4. Report of the AAPM TG-256 on the relative biological effectiveness of proton beams in radiation therapy

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