Quality assurance for mixed electron–photon beam radiation therapy using treatment log files and MapCHECK

Author:

Tai Yee Man1,Heng Veng Jean2,Renaud Marc‐André3,Serban Monica4,Seuntjens Jan45

Affiliation:

1. Medical Physics Unit McGill University Montreal Canada

2. Department of Physics & Medical Physics Unit McGill University Montreal Canada

3. Gray Oncology Solutions Montreal Canada

4. Princess Margaret Cancer Centre & Department of Radiation Oncology University of Toronto Toronto Canada

5. Department of Medical Biophysics University of Toronto Toronto Canada

Abstract

AbstractBackgroundMixed photon–electron beam radiotherapy (MBRT) is a technique that combines the use of both photons and electrons in one single treatment plan to exploit their advantageous and complimentary characteristics. Compared to other photon treatment modalities, it has been shown that the MBRT technique contributes to better target coverage and organ‐at‐risk (OAR) sparing. However, the use of combined photons and electrons in one delivery makes the technique more complex and a well‐established quality assurance (QA) protocol for MBRT is essential.PurposeTo investigate the feasibility of using MapCHECK and log file‐dose reconstruction for MBRT plan verification and to recommend a patient‐specific quality assurance (PSQA) protocol for MBRT.MethodsMBRT plans were robustly optimized for five soft‐tissue sarcoma (STS) patients. Each plan comprised step‐and‐shoot deliveries of a six MV photon beam and a combination of five electron beam energies at an SAD of 100 cm. The plans were delivered to the MapCHECK device with collapsed gantry angle and the 2D dose distributions at the detector depth were measured. To simulate the expected dose distribution delivered to the MapCHECK, a MapCHECK computational phantom was modeled in EGSnrc based on vendor‐supplied blueprint information. The dose to the detectors in the model was scored using the DOSXYZnrc user code. The agreement between the measured and the simulated dose distribution was evaluated using 2D gamma analysis with a gamma criterion of 3%/2 mm and a low dose threshold of 10%. One of the plans was selected and delivered with a rotating gantry angle for trajectory log file collection. To evaluate the potential interlinac and intralinac differences, the plan was delivered repeatedly on three linacs. From the collected log files, delivery parameters were retrieved to recalculate the 3D dose distributions in the patient's anatomy with DOSXYZnrc. The recalculated mean dose to the clinical target volume (CTV) and OARs from all deliveries were computed and compared with the planned dose in terms of percentage difference. To validate the accuracy of log file‐based QA, the log file‐recalculated dose was also compared with film measurement.ResultsThe agreement of the total dose distribution between the MapCHECK measurement and simulation showed gamma passing rates of above 97% for all five MBRT plans. In the log file‐dose recalculation, the difference between the recalculated and the planned dose to the CTV and OARs was below 1% for all deliveries. No significant inter‐ or intralinac differences were observed. The log file‐dose had a gamma passing rate of 98.6% compared to film measurement.ConclusionBoth the MapCHECK measurements and log file‐dose recalculations showed excellent agreement with the expected dose distribution. This study demonstrates the potential of using MapCHECK and log files as MBRT QA tools.

Publisher

Wiley

Subject

General Medicine

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