Biophysical modeling and artificial intelligence for quantitative assessment of anastomotic blood supply in laparoscopic low anterior rectal resection.

Journal: Surgical endoscopy
PMID: 40227485

Abstract

PURPOSE: Fluorescence imaging is critical for intraoperative intestinal perfusion assessment in colorectal surgery, yet its clinical adoption remains limited by subjective interpretation and lack of quantitative standards. This study introduces an integrated approach combining fluorescence curve analysis, biophysical modeling, and machine learning to improve intraoperative perfusion assessment.

Authors

  • Weizhen He
    Marshall Laboratory of Biomedical Engineering, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
  • Haoran Zhu
    Center for Integrated Research Computing, University of Rochester, Rochester, New York 14627, United States.
  • Xionghui Rao
    Department of Gastrointestinal Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China.
  • Qinzhu Yang
    Marshall Laboratory of Biomedical Engineering, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, 518060, China.
  • Huixing Luo
    Department of Gastrointestinal Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China.
  • Xiaobin Wu
    Department of Gastrointestinal Surgery, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518033, China. wuxiaob2@mail.sysu.edu.cn.
  • Yi Gao
    Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.

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