Novel Computational Pipeline Enables Reliable Diagnosis of Inverted Urothelial Papilloma and Distinguishes It From Urothelial Carcinoma
Our data suggest that the proposed computational pipeline can robustly and accurately capture histopathologic differences between IUP and other UC subtypes. The proposed workflow and related findings have the potential to expand the clinician's armamentarium for accurate diagnosis of urothelial malignancies and other rare tumors.
Authors
- Adeboye O. Osunkoya (ORCID: https://orcid.org/0000-0001-5712-8134)
- Kun Huang (ORCID: https://orcid.org/0000-0002-8530-370X)
- Liang Cheng (ORCID: https://orcid.org/0000-0001-6049-5293)
- Jie Zhang (ORCID: https://orcid.org/0000-0001-6939-7905)
- Wei Shao (ORCID: https://orcid.org/0000-0002-9555-3091)
- Michael W. Cheng (ORCID: https://orcid.org/0000-0002-1869-2557)
- Antonio López-Beltrán (ORCID: https://orcid.org/0000-0003-3161-8164)
Institutions
- Regenstrief Institute (US)
- Emory University (US)
- Brown University (US)
- Indiana University School of Medicine
- University of Córdoba (ES)
- Indiana University – Purdue University Indianapolis (US)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1200/cci.24.00059
- Citations
- 1
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.01