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中华肝脏外科手术学电子杂志 ›› 2024, Vol. 13 ›› Issue (06) : 894 -897. doi: 10.3877/cma.j.issn.2095-3232.2024117

综述

肝切除术中剩余肝再生能力的评估与预测
吴雪云1, 胡小军2, 范应方1,2,()   
  1. 1.510260 广州,南方医科大学珠江医院肝胆外科
    2.510630 广州,南方医科大学第三附属医院肝胆外科
  • 收稿日期:2024-09-13 出版日期:2024-12-10
  • 通信作者: 范应方
  • 基金资助:
    广东省自然科学基金面上项目(2023A1515012906,2024A1515011531)广州市科技计划项目(202206010093)

Evaluation and prediction of residual liver regeneration ability for hepatectomy

Xueyun Wu1, Xiaojun Hu2, Yingfang Fan1,2,()   

  1. 1.Department of Hepatobiliary Surgery,Zhujiang Hospital,Southern Medical University,Guangzhou 510260,China
    2.Department of Hepatobiliary Surgery,the Third Affiliated Hospital of Southern Medical University,Guangzhou 510630,China
  • Received:2024-09-13 Published:2024-12-10
  • Corresponding author: Yingfang Fan
引用本文:

吴雪云, 胡小军, 范应方. 肝切除术中剩余肝再生能力的评估与预测[J]. 中华肝脏外科手术学电子杂志, 2024, 13(06): 894-897.

Xueyun Wu, Xiaojun Hu, Yingfang Fan. Evaluation and prediction of residual liver regeneration ability for hepatectomy[J]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2024, 13(06): 894-897.

肝脏具有特殊的再生能力,部分切除术后,剩余肝脏可通过再生机制实现肝脏总体积的部分或完全恢复,以维持机体生理需求。因此,肝切除术前对剩余肝再生能力的评估和预测是保证患者围手术期安全的关键。目前肝再生的研究多集中于活体肝移植供/受体的剩余肝再生能力评估,对肝再生机制的研究仍然停留在动物实验水平。精准肝切除术虽然要求术前对剩余肝体积进行评估以确认最大肝切除范围,但未指出如何进行剩余肝功能的术前预测。随着影像组学及人工智能的发展,有望探索出更加精准的肝切除中剩余肝再生能力的评估与预测体系。

The liver has a specific ability to regenerate. After partial resection,the total volume of residual liver can be partially or completely restored through the regenerative mechanism to maintain the physiological requirements of the body. Therefore,evaluation and prediction of residual liver regeneration ability before hepatectomy is the key to ensure perioperative safety of patients. At present,researches on liver regeneration primarily focus upon the evaluation of residual liver regeneration ability of donors/recipients in living donor liver transplantation,and researches of liver regeneration mechanism still stuck in the stage of animal experiments. Although precise hepatectomy requires preoperative assessment of the residual liver volume to confirm the maximal range of liver resection,how to predict preoperative function of the residual liver remains poorly understood. With the advancement of radiomics and artificial intelligence,it is expected to explore a more precise evaluation and prediction system of residual liver regeneration ability for hepatectomy.

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