End-to-end Verification of Automated SRS with HyperArc on the TrueBeam Platform
DOI:
https://doi.org/10.29384/rbfm.2023.v17.19849001742Keywords:
dose de radiação, exames radiológicos, planejamento radioterápico, radioterapia.Abstract
The Stereotatic radiosurgery (SRS) is an extremely complex treatment technique, as it involves several stages and consists of deliver high doses of radiation in a few applications. Among the steps involved are image acquisition procedures, image registration, definition of the target volume, treatment planning and dose calculation, patient positioning with the IGRT system, as well as the delivery of the treatment in the equipment. The end-to-end (E2E) test is the only one capable of providing us the combined uncertainty of the entire process involved in complex procedures, such as the SRS. This study involved simulating the entire treatment flow of a patient in an anthropomorphic simulator, and: (i) analyzing the acquisition of images and registration, in a qualitative and quantitative form, (ii) carrying out treatment planning in this simulator and (iii) verify the radiation dose delivery by the absolute dose measurement with an ionization chamber and analysis of the planar dose distribution with radiochromic film. The results of the quantitative analyzes through the TRE and DSC were considered satisfactory, according to the tolerances of TG-132. The results of measurements with an ionization chamber to determine the absolute point dose showed variations of less than 3% of the value calculated by TPS. The analysis of the planar dose distribution with radiochromic film showed that there is agreement between the dose profile calculated by the TPS and the measured, with an acceptance rate > 98% in the gamma criterion of 3%/1mm. The recommendation for the frequency of this test is at least annually, or after any repair or replacement of equipment with a potential impact on data integrity, and every update of image registration software or TPS.
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Copyright (c) 2023 Matheus Fernando Santos, Lucas Delbem Albino, Karen Pieri Bueno, Ueslen Santos da Silva, Jose Geneci da Costa Calado, Roberta Silva Oliveira, Jessica Luana Oliveira Barbosa, Luccas Moreira Alves, Ernesto Henrique Roesler
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