Does artificial intelligence redefine nuclear-to-cytoplasmic ratio threshold for diagnosing high-grade urothelial carcinoma?

Journal: Cancer cytopathology
PMID: 40317981

Abstract

BACKGROUND: The Paris System (TPS) introduced standardized nuclear-to-cytoplasmic (N/C) ratio thresholds for urine cytology to improve high-grade urothelial carcinoma (HGUC) detection, but these criteria remain subjective. This study used AIxURO, an artificial intelligence-based model, to measure N/C ratio and nuclear area to identify abnormal cells in whole slide images (WSIs).

Authors

  • Wei-Lei Yang
    AIxMed, Inc, Santa Clara, California, USA.
  • Barbara A Crothers
    AIxMed, Inc, Santa Clara, California, USA.
  • Tien-Jen Liu
    AIxMed, Inc, Santa Clara, California, USA.
  • Shih-Wen Hsu
    AIxMed, Inc, Santa Clara, California, USA.
  • Cheng-Hung Yeh
    AIxMed, Inc, Santa Clara, California, USA.
  • Yi-Siou Liu
    AIxMed, Inc, Santa Clara, California, USA.
  • Guowei Shao
    AIxMed, Inc, Santa Clara, California, USA.
  • Ming-Yu Lin
    AIxMed, Inc, Santa Clara, California, USA.
  • Tang-Yi Tsao
    Department of Pathology, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan.
  • Min-Che Tung
    Division of Urology, Department of Surgery, Tung's Taichung MetroHarbor Hospital, Taichung, Taiwan.
  • Pei-Yi Chu
    Department of Pathology, Show Chwan Memorial Hospital, Changhua, Taiwan.
  • Jen-Fan Hang
    Division of Cytopathology, Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.

Keywords

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