Evidence map›Paper›PMID 41229488›Full record

ArticlePhysics and imaging in radiation oncology2025

Risk of genitourinary late effects after radiotherapy for prostate cancer associated with early changes in bladder shape.

Oscar Casares-Magaz, Renata G Raidou, Katarina Furmanová, Niclas Pettersson, Vitali Moiseenko, John Einck, Austin Hopper, Rick Knopp, Ludvig P Muren

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In one paragraph

Article in Physics and imaging in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Oscar Casares-MagazDanish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.
Renata G RaidouTU Wien, Institute of Visual Computing & Human-Centered Technology, Wien, Austria.
Katarina FurmanováMasaryk University, Faculty of Informatics, Brno, Czech Republic.
Niclas PetterssonDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Vitali MoiseenkoUniversity of California San Diego, Radiation Medicine and Applied Sciences, San Diego, USA.
John EinckUniversity of Kansas Hospital, Department of Radiation Oncology, KS, USA.
Austin HopperUniversity of California San Diego, Radiation Medicine and Applied Sciences, San Diego, USA.
Rick KnoppUniversity of California San Diego, Radiation Medicine and Applied Sciences, San Diego, USA.
Ludvig P MurenDanish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 ( 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.

Indexed as

Adaptive radiotherapyMachine learningProstate cancer radiotherapyRadiation-induced late effects

Identifiers

PMID41229488
PMCPMC12603767

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.