Dosimetric comparison and validation of Eclipse Anisotropic Analytical Algorithm (AAA) and AcurosXB (AXB) algorithms in RapidArc-based radiosurgery plans of patients with solitary brain metastasis.

Autor:	Menon SV; Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India; Centre for Research and Evaluation, Bharathiar University, Coimbatore, Tamil Nadu, India., P R; Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India. Electronic address: raghu.rcc@gmail.com., Bhasi S; Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India., Gopalakrishnan Z; Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India., B S; Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India., K S; Division of Radiation Physics, Regional Cancer Centre, Thiruvananthapuram, Kerala, India., Nair RK; SUT Royal Hospital, Ulloor, Thiruvananthapuram, Kerala, India.
Jazyk:	angličtina
Zdroj:	Medical dosimetry : official journal of the American Association of Medical Dosimetrists [Med Dosim] 2022 Spring; Vol. 47 (1), pp. e7-e12. Date of Electronic Publication: 2021 Nov 02.
DOI:	10.1016/j.meddos.2021.09.001
Abstrakt:	Stereotactic radiosurgery (SRS) is increasingly being used to manage solitary or multiple brain metastasis. This study aims to compare and validate Anisotropic Analytical Algorithm (AAA) and AcurosXB (AXB) algorithms of Eclipse Treatment Planning System (TPS) in RapidArc-based SRS plans of patients with solitary brain metastasis. Twenty patients with solitary brain metastasis who have been already treated with RapidArc SRS plans calculated using AAA plans were selected for this study. These plans were recalculated using AXB algorithm keeping the same arc orientations, multi-leaf collimator apertures, and monitor units. The two algorithms were compared for target coverage parameters, isodose volumes, plan quality metrics, dose to organs at risk and integral dose. The dose calculated by the TPS using AAA and AXB algorithms was validated against measured dose for all patient plans using an in-house developed cylindrical phantom. An Exradin A14SL ionization chamber was positioned at the center of this phantom to measure the in-field dose. NanoDot Optically Stimulated Luminescent Dosimeters (OSLDs) (Landauer Inc.) were placed at distances 3.0 cm, 4.0 cm, 5.0 cm, and 6.0 cm respectively from the center of the phantom to measure the non-target dose. In addition, the planar dose distribution was measured using amorphous silicon aS1000 Electronic Portal Imaging Device. The measured 2D dose distribution was compared against AAA and AXB estimated 2D distribution using gamma analysis. All results were tested for significance using the paired t-test at 5% level of significance. Significant differences between the AAA and AXB plans were found only for a few parameters analyzed in this study. In the experimental verification using cylindrical phantom, the difference between the AAA calculated dose and the measured dose was found to be highly significant (p < 0.001). However, the difference between the AXB calculated dose and the measured dose was not significant (p = 0.197). The difference between AAA/AXB calculated and measured at non-target locations was statistically insignificant at all four non-target locations and the dose calculated by both AAA and AXB algorithms shows a strong positive correlation with the measured dose. The results of the gamma analysis show that the AXB calculated planar dose is in better agreement with measurements compared to the AAA. Even though the results of the dosimetric comparison show that the differences are mostly not significant, the measurements show that there are differences between the two algorithms within the target volume. The AXB algorithm may be therefore more accurate in the dose calculation of VMAT plans for the treatment of small intracranial targets. For non-target locations either algorithm can be used for the estimation of dose accounting for their limitations in non-target dose estimations. (Copyright © 2021 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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