Radio-pathomic maps of histo-morphometric features trained with whole mount prostate histology distinguish prostate cancer on MP-MRI
This study demonstrates that the use of MRI intensities can predict complex histo-morphometric features and delineate regions of PCa non-invasively. Future research is warranted to determine the clinical benefit of using RPMs in treatment guidance.
Authors
- Fitzgerald Kyereme
- Kathleen Y. Bhatt
- Biprojit Nath
- Andrew S. Nencka (ORCID: https://orcid.org/0000-0001-5268-2718)
- Aleksandra Winiarz (ORCID: https://orcid.org/0000-0002-6994-5796)
- Kenneth Jacobsohn (ORCID: https://orcid.org/0000-0003-2039-2737)
- Stephanie Vincent-Sheldon
- Savannah Duenweg (ORCID: https://orcid.org/0000-0003-4010-7737)
- Allison Lowman (ORCID: https://orcid.org/0000-0002-2520-8145)
- Kevin Troy
- Eric Fair
- Samuel R Bobholz
- Michael Kim
- Anjishnu Banerjee
- Kenneth A Iczkowski
- Michael J Barrett
- William A Hall
- Peter S LaViolette
Institutions
- Medical College of Wisconsin (US)
- University of California, Davis (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-13
- DOI
- https://doi.org/10.64898/2026.01.09.26343808
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Cancer Institute