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Comparison of Prospectively Generated Glioma Treatment Plans Clinically Delivered on Magnetic Resonance Imaging (MRI)-Linear Accelerator (MR-Linac) Versus Conventional Linac: Predicted and Measured Skin Dose

Authors :
Michael H. Wang MD
Anthony Kim PhD
Mark Ruschin PhD
Hendrick Tan MD
Hany Soliman MD
Sten Myrehaug MD
Jay Detsky MD, PhD
Zain Husain MD
Eshetu G. Atenafu MSc
Brian Keller PhD
Arjun Sahgal MD
Chia-Lin Tseng MD
Source :
Technology in Cancer Research & Treatment, Vol 21 (2022)
Publication Year :
2022
Publisher :
SAGE Publishing, 2022.

Abstract

Introduction: Magnetic resonance imaging-linear accelerator radiotherapy is an innovative technology that requires special consideration for secondary electron interactions within the magnetic field, which can alter dose deposition at air–tissue interfaces. As part of ongoing quality assurance and quality improvement of new radiotherapy technologies, the purpose of this study was to evaluate skin dose modelled from the treatment planning systems of a magnetic resonance imaging-linear accelerator and a conventional linear accelerator, and then correlate with in vivo measurements of delivered skin dose from each linear accelerator. Methods: In this prospective cohort study, 37 consecutive glioma patients had treatment planning completed and approved prior to radiotherapy initiation using commercial treatment planning systems: a Monte Carlo-based algorithm for magnetic resonance imaging-linear accelerator or a convolution-based algorithm for conventional linear accelerator. In vivo skin dose was measured using an optically stimulated luminescent dosimeter. Results: Monte Carlo-based magnetic resonance imaging-linear accelerator plans and convolution-based conventional linear accelerator plans had similar dosimetric parameters for target volumes and organs-at-risk. However, magnetic resonance imaging-linear accelerator plans had 1.52 Gy higher mean dose to air cavities ( P

Details

Language :
English
ISSN :
15330338
Volume :
21
Database :
Directory of Open Access Journals
Journal :
Technology in Cancer Research & Treatment
Publication Type :
Academic Journal
Accession number :
edsdoj.3146416a09f4c51b306a2000491e375
Document Type :
article
Full Text :
https://doi.org/10.1177/15330338221124695