Predicting cancer detection rates from multiparametric prostate MRI
Several clinical and radiographic features are independently associated with the risk of prostate cancer in men undergoing MRI-targeted biopsy. A predictive model based on these features can improve clinical decisions regarding biopsy compared to the conventional strategy of performing biopsy for all PI-RADS 3-5 lesions.
Authors
- Francisco Ramos (ORCID: https://orcid.org/0000-0003-3339-1303)
- Aria F. Olumi (ORCID: https://orcid.org/0000-0001-5356-2558)
- Boris Gershman (ORCID: https://orcid.org/0000-0001-5191-7255)
- Aaron Fleishman (ORCID: https://orcid.org/0000-0001-7338-8235)
- Ruslan Korets (ORCID: https://orcid.org/0000-0003-0388-4545)
- Agustín Pérez-Londoño (ORCID: https://orcid.org/0000-0002-1117-1679)
- Michael H. Johnson (ORCID: https://orcid.org/0000-0003-4393-2468)
- Leo L. Tsai (ORCID: https://orcid.org/0000-0001-6941-7443)
- Sumedh Kaul (ORCID: https://orcid.org/0000-0001-5707-1561)
Institutions
- Beth Israel Deaconess Medical Center (US)
- The University of Texas at San Antonio Health Science Center (US)
Publication Details
- Journal
- Canadian Urological Association Journal
- Published
- 2024-11-04
- DOI
- https://doi.org/10.5489/cuaj.8902
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00