An Artificial Intelligence–Digital Pathology Algorithm Predicts Survival After Radical Prostatectomy From the Prostate, Lung, Colorectal, and Ovarian Cancer Trial
Locked MMAI algorithms previously developed and validated on biopsy specimens from patients undergoing radiation for prostate cancer successfully predicted clinical outcomes when applied to RP specimens from patients treated with surgery. MMAI models and other biomarkers may help select patients who may benefit from postoperative treatment intensification with androgen deprivation therapy or radiation.
Authors
- Jacqueline Griffin (ORCID: https://orcid.org/0000-0002-3928-3891)
- Eric V. Li (ORCID: https://orcid.org/0000-0002-5506-5755)
- Felix Yi-Chung Feng (ORCID: https://orcid.org/0000-0002-0963-7687)
- Lee Cooper (ORCID: https://orcid.org/0000-0002-3504-4965)
- Ashley E. Ross (ORCID: https://orcid.org/0000-0001-7044-9688)
- Rikiya Yamashita (ORCID: https://orcid.org/0000-0002-2686-2333)
- Hiten D. Patel (ORCID: https://orcid.org/0000-0003-4028-010X)
- Andre Esteva (ORCID: https://orcid.org/0000-0003-1937-9682)
- Ruoji Zhou (ORCID: https://orcid.org/0000-0001-7474-7156)
- Ximing J. Yang (ORCID: https://orcid.org/0000-0002-3370-6208)
- Akinori Mitani (ORCID: https://orcid.org/0000-0001-8088-6021)
- Yi Ren (ORCID: https://orcid.org/0009-0002-8778-5586)
- Huei–Chung Huang
- Chen Han (ORCID: https://orcid.org/0009-0002-4700-1433)
- Edward M. Schaeffer
Institutions
- Northwestern University (US)
- University of California, Los Angeles (US)
- University of California, San Francisco (US)
- Alto Neuroscience (United States) (US)
Publication Details
- Journal
- The Journal of Urology
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1097/ju.0000000000004435
- Citations
- 5
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 7.59