Population-Specific Radiomics From Biparametric Magnetic Resonance Imaging Improves Prostate Cancer Risk Stratification in African American Men
Accounting for population-specific differences in radiomics may enable improved PCa risk stratification at MRI among AA men compared with a population agnostic approach.
Authors
- Siddharth Balakrishnan
- Leonardo Kayat Bittencourt (ORCID: https://orcid.org/0000-0001-9175-9626)
- Lee Ponsky (ORCID: https://orcid.org/0000-0002-1252-3285)
- Anant Madabhushi (ORCID: https://orcid.org/0000-0002-5741-0399)
- Rakesh Shiradkar (ORCID: https://orcid.org/0000-0003-2852-3869)
- Abhishek Midya (ORCID: https://orcid.org/0000-0003-2149-7098)
- Pingfu Fu (ORCID: https://orcid.org/0000-0002-2334-5218)
- Amogh Hiremath (ORCID: https://orcid.org/0000-0001-6937-9141)
- Sree Harsha Tirumani (ORCID: https://orcid.org/0000-0002-5288-8916)
- Sena Azamat
- Sarah Wido
Institutions
- Georgia Institute of Technology (US)
- Emory University (US)
- University Hospitals of Cleveland (US)
- Atlanta Medical Center (US)
- Indiana University – Purdue University Indianapolis (US)
- Case Western Reserve University (US)
Publication Details
- Journal
- JU Open Plus
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1097/ju9.0000000000000310
- Citations
- 3
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.56
Funders
- National Heart, Lung, and Blood Institute
- National Institute of Biomedical Imaging and Bioengineering