Predictors for late genitourinary toxicity in men receiving radiotherapy for high-risk prostate cancer using planned and accumulated dose
Journal Title
Physics and Imaging in Radiation Oncology
Publication Type
Research article
Abstract
BACKGROUND AND PURPOSE: Significant deviations between bladder dose planned (D(P)) and dose accumulated (D(A)) have been reported in patients receiving radiotherapy for prostate cancer. This study aimed to construct multivariate analysis (MVA) models to predict the risk of late genitourinary (GU) toxicity with clinical and D(P) or D(A) as dose-volume (DV) variables. MATERIALS AND METHODS: Bladder D(A) obtained from 150 patients were compared with D(P). MVA models were built from significant clinical and DV variables (p < 0.05) at univariate analysis. Previously developed dose-based-region-of-interest (DB-ROI) metrics using expanded ring structures from the prostate were included. Goodness-of-fit test and calibration plots were generated to determine model performance. Internal validation was accomplished using Bootstrapping. RESULTS: Intermediate-high D(A) (V(30-65 Gy) and DB-ROI-20-50 mm) for bladder increased compared to D(P). However, at the very high dose region, D(A) (D(0.003 cc), V(75 Gy,) and DB-ROI-5-10 mm) were significantly lower. In MVA, single variable models were generated with odds ratio (OR) < 1. DB-ROI-50 mm was predictive of Grade >/= 1 GU toxicity for D(A) and D(P) (D(A) and D(P); OR: 0.96, p: 0.04) and achieved an area under the receiver operating curve (AUC) of > 0.6. Prostate volume (OR: 0.87, p: 0.01) was significant in predicting Grade 2 GU toxicity with a high AUC of 0.81. CONCLUSIONS: Higher D(A) (V(30-65 Gy)) received by the bladder were not translated to higher late GU toxicity. DB-ROIs demonstrated higher predictive power than standard DV metrics in associating Grade >/= 1 toxicity. Smaller prostate volumes have a minor protective effect on late Grade 2 GU toxicity.
Publisher
Elsevier
Keywords
Accumulated dose; Genitourinary toxicity; High-risk prostate cancer; Multivariate model; Volumetric image-guidance
Department(s)
Physical Sciences
PubMed ID
36817981
Open Access at Publisher's Site
https://doi.org/10.1016/j.phro.2023.100421
Terms of Use/Rights Notice
Refer to copyright notice on published article.


Creation Date: 2023-10-04 12:42:10
Last Modified: 2023-10-04 12:42:23

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