Predictive Model of Acute Rectal Toxicity in Prostate Cancer Treated With Radiotherapy
Our novel approach effectively predicts rectal toxicity across photon and proton subsets, demonstrating the utility of integrating dosimetric and nondosimetric features. The model's strong performance across modalities suggests potential for guiding treatment decisions, warranting prospective validation.
Authors
- Edward Soffen (ORCID: https://orcid.org/0000-0001-7595-0332)
- Ibrahim M. Chamseddine (ORCID: https://orcid.org/0000-0002-7005-8692)
- Stacey Muise
- David T. Miyamoto (ORCID: https://orcid.org/0000-0003-3692-8823)
- M. Moteabbed
- Sophia C. Kamran (ORCID: https://orcid.org/0000-0001-9283-6515)
- Kyla Remillard (ORCID: https://orcid.org/0000-0002-9275-0209)
- Keyur D Shah (ORCID: https://orcid.org/0000-0002-0886-655X)
- Harald Paganetti (ORCID: https://orcid.org/0000-0002-6257-2413)
- Hoyeon Lee (ORCID: https://orcid.org/0000-0002-1165-1509)
- Mark Vikas Mishra (ORCID: https://orcid.org/0000-0002-2588-1575)
- Jason A. Efstathiou (ORCID: https://orcid.org/0000-0003-0996-0350)
- Jessica Greenberg Cowan (ORCID: https://orcid.org/0000-0002-9404-1561)
- Nancy P. Mendenhall (ORCID: https://orcid.org/0000-0003-2893-7703)
- Z. Soetan
- Brenda Silvia
- Beow Yong Yeap (ORCID: https://orcid.org/0009-0004-6157-5489)
Institutions
- University of Maryland, Baltimore (US)
- Harvard University (US)
- Emory University (US)
- University of Florida (US)
- Massachusetts General Hospital (US)
- Radiation Oncology Associates (US)
- Florida College (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1200/cci-24-00252
- Citations
- 1
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52