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Cobalt compensator-based IMRT device: A treatment planning study of head and neck cases

Authors :
Bishwambhar Sengupta
Kyuhak Oh
Patricia Sponseller
Peter Zaki
Boryana Eastman
Tru-Khang T. Dinh
Carlos E. Cardenas
Laurence E. Court
Upendra Parvathaneni
Eric Ford
Source :
Physica Medica. 106:102526
Publication Year :
2023
Publisher :
Elsevier BV, 2023.

Abstract

Our goal is to develop a novel cobalt-compensator-based IMRT device for low- and middle-income countries that is reliable and cost-effective while delivering treatment plans of equal quality to those from linac-MLC devices. The present study examines the quality of treatment plans using this device.A commercial treatment planning system (TPS; RayStation v.8B) was commissioned for this device using Monte Carlo simulations from the Geant4 toolkit. Patient-specific compensators were created as regions-of-interest. Thirty clinical headneck cases were planned and compared to clinical plans with a 6MV linac using IMRT. The mock head and neck plan from TG-119 was used for further validation.PTV objectives were achieved in all 30 plans with PTV V95%95 %. OAR sparing was similar to clinical plans. There were 14 cases where OAR dose limits exceeded the recommended QUANTEC limits in the clinical plan in order to achieve target coverage. OAR sparing was better in the cobalt compensator plan in 8 cases and worse in 3 cases, in the latter cases exceeding the clinical plan doses by an average of 8.22 % (0.0 %-13.5 %). Average field-by-field gamma pass-rate were 93.7 % (2 %/2mm). Estimated treatment times using the Co-60 compensator device were 1 min 27 s vs 1 min 2 s for the clinical system.This system is the first of its kind to allow for IMRT with a Co-60 device. Data here suggests that the delivery meets plan quality criteria while maintaining short treatment times which may offer a sustainable and cost-low option for IMRT on the global scale.

Details

ISSN :
11201797
Volume :
106
Database :
OpenAIRE
Journal :
Physica Medica
Accession number :
edsair.doi.dedup.....054cb4e39ff1d4a63129e678de92f049
Full Text :
https://doi.org/10.1016/j.ejmp.2023.102526