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Error Detectability of Isodose Volumes as ROIs in Prostate Intensity-modulated RT QA.

Authors :
RYUTA NAKAHARA
MASAYUKI FUJIWARA
HARUYUKI TAKAKI
MASAO TANOOKA
KENTARO ISHII
RYU KAWAMORITA
KOICHIRO YAMAKADO
Source :
In Vivo; Jul/Aug2022, Vol. 36 Issue 4, p1887-1895, 9p
Publication Year :
2022

Abstract

Background/Aim: To evaluate the quality of error detectability with a three-dimensional verification system using isodose volumes as regions of interest (ROIs) in quality assurance (QA) of intensity-modulated radiation therapy. Patients and Methods: Treatment plans with four types of intentional errors were created from the data of 20 patients with localized prostate cancer. These plans underwent QA using the three-dimensional verification system. The datasets of another 30 cases without inserted errors were assessed as controls. The ROIs used in the evaluations were those used in our conventional method (planning target volume, rectum, and bladder). The isodose volume method (5%, 50% and 95% isodose volume) and the error detection rates (measurement above the tolerance values, as set from the other 30 cases) were assessed and compared. Results: There was significantly higher multileaf collimator systematic closed error detectability with the isodose volume method compared to the conventional method (A-side 0.2 mm: p=0.005, A-side 0.35 mm: p=0.002, B-side 0.2 mm: p=0.001 and B-side 0.35 mm: p=0.010). There were no error types for which the error detection rate of the isodose volume method was lower than that of the conventional method. Conclusion: The isodose volume method was able to evaluate the irradiated ROIs that could be delineated, and improved error detectability. This method has the potential to provide a wider margin of safety in intensity-modulated radiation therapy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0258851X
Volume :
36
Issue :
4
Database :
Complementary Index
Journal :
In Vivo
Publication Type :
Academic Journal
Accession number :
157758350
Full Text :
https://doi.org/10.21873/invivo.12908