Article
Early treatment outcome prediction in metastatic castration-resistant prostate cancer utilizing 3-month tumor growth rate ( <i>g</i> -rate) based machine learning model
2026-03-03
Abstract excerpt
<h4>Summary</h4> <h4>Background</h4> Once the treatment starts, early prediction of treatment benefit and its correlation with overall survival (OS) remains challenging in metastatic castration-resistant prostate cancer (mCRPC). Existing prognostic models require long-term follow-up, limiting their ability to inform timely treatment decisions. To address this gap, we evaluated tumor growth rate ( g -rate)–based...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- 98d22475-543a-5228-b47b-dfeddc39259f
- DOI
- 10.64898/2026.02.26.26346987
