Advantages of AI-based whole blood film scanning for blast detection in markedly leucopenic blood films.

Journal: Annals of hematology
Published Date: Jul 15, 2025

Abstract

To evaluate performance of AI-assisted blast detection via whole blood film scanning in cases of severe leukopenia. From August to October 2023, we collected 157 patient specimens with white blood cell (WBC) counts of ≤2.0 × 10⁹/L. We then evaluated and compared the blast detection capabilities of an artificial intelligence-based system (Cygnus instrument) against the CellaVision DI-60 for WBC analysis. Additionally, this study aimed to assess the comparative performance of these two automated blood cell morphology analyzers based on their underlying operational principles. Following manual microscopy confirmation, 17 cases showing ≥ 1 blast cell in peripheral blood smear were identified among 157 specimens with WBC ≤ 2.0 × 10⁹/L. The Cygnus whole-slide scanning mode detected all 17 cases (sensitivity: 100%), whereas the Cygnus 200-cell mode detected only 9 cases (9/17), and the CellaVision DI-60 200-cell mode detected 8 cases (8/17). In leukopenic patients (WBC ≤2.0×10⁹/L), utilizing Cygnus' whole-slide scanning capability substantially improves blast identification rates, potentially enabling earlier detection of hematologic abnormalities.

Authors

  • Geng Wang
    Beijing Jishuitan Hospital, Beijing, China.
  • Lin Zheng
    Department of Minimally Invasive Intervention, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, ZhengZhou, 450008, China.
  • Zhejun Fang
    Beijing Xiaoying Technology Co., Ltd, Beijing, China.
  • Guoju Luo
    Department of Clinical Laboratory, Peking Union Medical College Hospital, Beijing, 100730, China.
  • Qian Chen
    Department of Pain Medicine Guizhou Provincial Orthopedics Hospital Guiyang Guizhou China.
  • Qi Qi Zhang
    Department of Clinical Laboratory, Peking Union Medical College Hospital, Beijing, 100730, China.
  • Bo Shen Wu
    Beijing Xiaoying Technology Co., Ltd, Beijing, 100085, China.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Rongrong Cheng
    Department of Clinical Laboratory, Peking Union Medical College Hospital, Beijing, 100730, China.
  • Ping Deng
    Department of Clinical Laboratory, Peking Union Medical College Hospital, Beijing, 100730, China.
  • Binyao Zhang
    Department of Clinical Laboratory, Peking Union Medical College Hospital, Beijing, 100730, China.
  • Jing Jin
    College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
  • Wei Wu
    Department of Pharmacy, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

Keywords

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