Does artificial intelligence redefine nuclear‐to‐cytoplasmic ratio threshold for diagnosing high‐grade urothelial carcinoma?
AIxURO provides objective quantification of N/C ratios and nuclear areas, refining TPS criteria for distinguishing suspicious from atypical cells. A lower N/C ratio cutoff (0.66) for SHGUC/HGUC may be more appropriate than the TPS threshold (>0.7). Findings support using consistent N/C ratio criteria across UUT and LUT cases.
Authors
- Wei‐Lei Yang (ORCID: https://orcid.org/0000-0001-6559-0556)
- Cheng‐Hung Yeh
- Y. Liu
- Tien‐Jen Liu
- Jen‐Fan Hang (ORCID: https://orcid.org/0000-0003-4299-2784)
- Barbara A. Crothers (ORCID: https://orcid.org/0000-0003-3191-9514)
- Pei‐Yi Chu (ORCID: https://orcid.org/0000-0001-7336-2465)
- Min‐Che Tung (ORCID: https://orcid.org/0000-0002-4136-7613)
- Shih‐Wen Hsu
- Ming‐Yu Lin
- Guoli Shao
- Tang‐Yi Tsao
Institutions
- National Yang Ming Chiao Tung University (TW)
- Taipei Veterans General Hospital (TW)
- Chang Bing Show Chwan Memorial Hospital (TW)
- Tungs' Taichung MetroHarbor Hospital (TW)
Publication Details
- Journal
- Cancer Cytopathology
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1002/cncy.70017
- Citations
- 2
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.01