XSTING, Software for Evaluation of Radiotherapy Planning Performed Using EGSnrcMP Codes
Hiba Baha Eldin Sayed Omer, Khalid Sulaiman Alzimami and Abdelmoneim Adam Mohamed Sulieman
Affiliation: Salman bin Abdulaziz University, College of Applied Medical Sciences, Radiology and Medical Imaging Department. Alkharj 11942, P.O. Box 422, Saudi Arabia.
Radiotherapy research requires a flexible computational research environment for Monte Carlo and patientspecific
treatment planning. The ability to perform organs' delineation and measurements of dose distribution within the
patient is necessary for analysis of treatment parameters. XSTING was used for the evaluation of chest-wall irradiation
using electron beams. Treatment planning was performed by EGSnrcMP (BEAMnrc and DOSXYZnrc); the dose files
were transported to XSTING to calculate isodose distribution and dose volume histograms (DVH). The results were compared
with those produced by DOSXYZnrc output as well as the 3D representation of volumes receiving a certain dose
range, to make sure that XSTING accurately computes DVHs. The results showed a good match in isodose distributions
and DVHs for volume of the lung that received specified dose-levels thus proving the accuracy of XSTING. The short
time needed to perform dose distribution measurements proved that XSTING can be used in patient-specific treatment
planning. XSTING can thus be used effectively in Monte Carlo research.
Keywords: XTING software, Monte Carlo Simulation (MC), Radiotherapy, Treatment Planning, Dose Volume Histogram
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