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Article

Dosiomics-based prediction of late genitourinary toxicity after Cyberknife for prostate cancer: a SHAP-explainable machine learning approach

2026-07-03

Abstract excerpt

<title>Abstract</title> <p>Objective To evaluate whether organ-specific dosiomics extracted from CyberKnife® prostate SBRT plans can predict late genitourinary (GU) toxicity and to provide interpretable risk drivers using SHapley Additive exPlanations (SHAP) analysis. Methods Eighty-seven patients with localized prostate adenocarcinoma treated with CyberKnife® SBRT (35–36.25 Gy in five fractions) were retrospec...

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Literature Corpus work
84590862-8419-5c4d-947a-ac857b163563
DOI
10.21203/rs.3.rs-10090151/v1
Open publication

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