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基于人工智能辅助腹腔镜右半结肠癌根治术的手术技能评价
Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer
- 中国癌症杂志 2025年35卷第7期 页码：637-641
- 作者机构：
1. 首都医科大学附属北京友谊医院普通外科，国家消化系统疾病临床医学研究中心，消化健康全国重点实验室，首都医科大学结直肠肿瘤临床诊疗与研究中心，首都医科大学结直肠癌免疫治疗基础-临床联合实验室，北京 100050
2. 首都医科大学基础医学院，北京 100069
- 作者简介：
[ "魏鹏宇（ORCID: 0009-0003-9839-5062），博士。" ]
[ "姚宏伟，主任医师，博士研究生导师，首都医科大学附属北京友谊医院普通外科教授，胃肠外科主任，首都医科大学结直肠肿瘤临床诊疗与研究中心副主任。中华医学会外科学分会结直肠外科学组委员兼秘书，中国医师协会外科医师分会经肛全直肠系膜切除术专业委员会主任委员，中国医师协会结直肠肿瘤专业委员会常委。致力于胃肠肿瘤的外科手术学、肿瘤学及功能学研究。以第一作者或通信作者在Nature Medicine、Signal Transduction and Targeted Therapy、Gastroenterology、Biomaterials、International Journal of Surgery、British Journal of Surgery等国际知名期刊上发表多篇原创性研究成果。曾被新疆维吾尔自治区党委和人民政府评为“优秀援疆干部”，荣立个人二等功。" ]
- 基金信息：四大慢病重大专项(2024ZD0520306);北京市医院管理中心扬帆计划临床技术创新项目基金(ZLRK202302)
DOI：10.19401/j.cnki.1007-3639.2025.07.002
中图分类号： R735.3+5收稿：2025-06-14，
修回：2025-07-13，
纸质出版：2025-07-30
- 稿件说明：
移动端阅览
魏鹏宇, 高加勒, 季冒童, 等. 基于人工智能辅助腹腔镜右半结肠癌根治术的手术技能评价[J]. 中国癌症杂志, 2025,35(7):637-641.
Pengyu WEI, Jiale GAO, Maotong JI, et al. Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer[J]. China Oncology, 2025, 35(7): 637-641.
魏鹏宇, 高加勒, 季冒童, 等. 基于人工智能辅助腹腔镜右半结肠癌根治术的手术技能评价[J]. 中国癌症杂志, 2025,35(7):637-641. DOI： 10.19401/j.cnki.1007-3639.2025.07.002.
Pengyu WEI, Jiale GAO, Maotong JI, et al. Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer[J]. China Oncology, 2025, 35(7): 637-641. DOI： 10.19401/j.cnki.1007-3639.2025.07.002.
摘要
腹腔镜右半结肠癌根治术作为治疗右半结肠癌的标准术式，因其复杂的解剖层次和精细的操作技术要求，对手术医师的专业素养提出了严峻挑战。当前临床实践中，手术技能评估仍主要依赖于专家的主观评价，而这种传统模式存在评估效率低下、标准不统一等固有局限性。人工智能（artificial intelligence，AI）技术的快速发展，尤其是计算机视觉和深度学习算法的突破，为建立客观、精准的手术自动化评价体系提供了革命性的技术支撑。本文全面梳理了中国右半结肠癌根治术的临床应用现状，深入论证了构建智能化手术评价系统的临床必要性和技术可行性，并系统呈现了本中心在该领域的前沿探索成果。展望未来，基于AI的智能评价系统将有望实现手术技能评估的标准化和定量化，这不仅将革新外科医师培训体系、提升多中心临床研究质量，更将推动精准外科诊疗规范的标准化进程，对改善患者长期预后、促进医疗资源均衡化发展具有重要的临床意义和社会价值。
Abstract
Laparoscopic right hemicolectomy is the standard surgical procedure for treating right-sided colon cancer
yet its complex anatomical layers and technically demanding operations pose significant challenges to surgeons’ expertise. Currently
surgical skill assessment in clinical practice still predominantly relies on subjective expert evaluation
an approach inherently limited by low efficiency and inconsistent standards. With the rapid advancement of artificial intelligence (AI) technologies (particularly breakthroughs in computer vision and deep learning algorithms)
a revolutionary technical foundation has been established for developing objective and precise automated surgical evaluation systems. This article comprehensively reviewed the current clinical application status of right hemicolectomy in China
thoroughly examined the clinical necessity and technical feasibility of constructing an intelligent surgical assessment system
and systematically presented our center’s cutting-edge research achievements in this field. Looking ahead
AI-driven intelligent evaluation systems are expected to standardize and quantify surgical skill assessment. Such innovation will not only transform surgical training programs and enhance the quality of multicenter clinical research
but also promote the standardization of precision surgical protocols. This advancement holds significant clinical value and societal importance by improving long-term patient outcomes and fostering more equitable distribution of medical resources.
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references
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