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RBE-weighted dose conversions for carbon ionradiotherapy between microdosimetric kinetic model and local effect model for the targets and organs at risk in prostate carcinoma.

Authors :
Wang, Weiwei
Huang, Zhijie
Sheng, Yinxiangzi
Zhao, Jingfang
Shahnazi, Kambiz
Zhang, Qing
Jiang, Guoliang
Source :
Radiotherapy & Oncology. Mar2020, Vol. 144, p30-36. 7p.
Publication Year :
2020

Abstract

• A RBE-weighted dose conversion curve was established for targets and OARs. • Matched with the conversion studies focusing on the targets when MKM dose >1.00 GyE. • MKM doses in targets or outside targets could be converted to LEM doses. The aim of this study was to establish curves for the conversion of RBE-weighted doses for targets and organs at risk (OARs) from the microdosimetric kinetic model (MKM) calculation to that of the local effect model I (LEM) for carbon ion radiotherapy (CIRT) for prostate carcinoma (PCA). This study was performed in the experimental treatment planning system (eTPS, V8A, Raystation, Sweden), which incorporates both MKM and LEM. CIRT plans from 10 PCA patients were collected. There were 5 steps to establish the curves: (1) design MKM plans in eTPS; (2) recalculate the physical doses from MKM to LEM and create a LEM plan in eTPS; (3) plot the RBE-weighted MKM to LEM conversion curves; (4) convert the MKM rectum constraint dose volume histogram (DVH) from NIRS to a LEM DVH; and (5) compare patients' rectum DVHs and follow-up with the converted constraint DVH. The conversion factors for MKM doses of 0.18 Gy (RBE) to 4.55 Gy (RBE) per fraction to LEM doses were 2.72–1.06. For fraction sizes of >1 Gy (RBE), the conversion factors matched Fossati's curve and for fraction sizes of <1.00 Gy (RBE) the values were on the extrapolated Fossati's curve. A LEM rectum constraint DVH was established. Ten patients' rectum DVHs were all lower than LEM constraint DVHs. No complications were reported clinically. For PCA receiving CIRT, the RBE-weighted doses using MKM for targets and OARs could be converted to LEM doses using conversion curves. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01678140
Volume :
144
Database :
Academic Search Index
Journal :
Radiotherapy & Oncology
Publication Type :
Academic Journal
Accession number :
142107962
Full Text :
https://doi.org/10.1016/j.radonc.2019.10.005