Risk of genitourinary late effects after radiotherapy for prostate cancer associated with early changes in bladder shape
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F25%3A00142446" target="_blank" >RIV/00216224:14330/25:00142446 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.phro.2025.100855" target="_blank" >https://doi.org/10.1016/j.phro.2025.100855</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.phro.2025.100855" target="_blank" >10.1016/j.phro.2025.100855</a>
Alternative languages
Result language
angličtina
Original language name
Risk of genitourinary late effects after radiotherapy for prostate cancer associated with early changes in bladder shape
Original language description
Background and purpose: The risk of genitourinary late effects is a major dose-limiting factor in radiotherapy for prostate cancer. By using shape analysis and machine learning, the aim of this study was to evaluate whether bladder shape descriptors from the first week of treatment could identify patients experiencing genitourinary late effects. Material and methods: From a cohort of 258 prostate cancer patients treated with daily cone-beam computed tomography (CBCT)-guided radiotherapy (prescription doses of 77.4-81.0 Gy), 7 pre-treatment asymptomatic cases experiencing RTOG genitourinary late effects >= Grade 2 and 21 matched controls were selected. The bladder was manually contoured on each CBCT, and a 17-D vector comprising shape descriptors was used for patient clustering, focusing on bladder contours from the first week of treatment. ANOVA was used to test statistical significance of descriptors across and within clusters. Results: Of the contours from the first week of treatment, 84 % could be classified in two main clusters with distinct bladder shape characteristics. This cluster stratification remained identical when bladder contours from the entire course of treatment were used. Convexity, elliptic variance and compactness were significantly different between patients with vs. without genitourinary late effects >= Grade 2 (p < 0.05). Dice Coefficients between predictive models using descriptors of the first week and the voxels' probability of belonging to the bladder were above 93 +/- 6 % (median +/- interquartile range). Conclusion: Bladder shape descriptors in the first week of treatment showed potential to predict the risk of developing genitourinary late effects after radiotherapy for prostate cancer.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PHYSICS & IMAGING IN RADIATION ONCOLOGY
ISSN
2405-6316
e-ISSN
2405-6316
Volume of the periodical
36
Issue of the periodical within the volume
36
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
5
Pages from-to
100855
UT code for WoS article
001612683800001
EID of the result in the Scopus database
2-s2.0-105020712504