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基于模拟的腹主动脉瘤手术培训：迈向新的教育标准。

Simulation-Based Training in Aortic Aneurysm Surgery: Toward a New Educational Standard.

作者信息

Sidik Abubakar I, Khavandeev Maxim L, Dontsov Vladislav, Filimonov Dmitriy A, Esion Grigorii, Al-Ariki Malik K, Hossain Md Limon, Ajgar Bithi Mst Asia, Nicolas Nelson, Zuhair Salah Salehk Amro

机构信息

Cardiovascular Surgery, Peoples' Friendship University of Russia, Moscow, RUS.

Cardiothoracic Surgery, Gusak Institute of Emergency and Reconstructive Surgery, Donetsk, RUS.

出版信息

Cureus. 2025 Aug 8;17(8):e89611. doi: 10.7759/cureus.89611. eCollection 2025 Aug.

DOI:10.7759/cureus.89611
PMID:40922841
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12414441/
Abstract

Simulation-based training is transforming the education of vascular surgeons in the management of aortic aneurysms (AAs), addressing limitations in traditional apprenticeship models amid declining open surgical volumes and increasing reliance on complex endovascular techniques. This review explores the current landscape of simulation technologies, including computational modeling, fluid-structure interaction, patient-specific 3D printing, artificial intelligence, and robotic platforms. These tools enable high-fidelity, anatomically accurate, and physiologically realistic training environments. Validated simulations enhance surgical decision-making, device deployment strategies, and complication management without risk to patients. Despite barriers such as cost, variability in implementation, and limited outcome data, simulation holds promise as an essential component of future vascular surgery curricula. By combining technical innovation with personalized, data-driven training, simulation is poised to redefine competency development and improve surgical safety and efficacy.

摘要

基于模拟的培训正在改变血管外科医生对主动脉瘤（AA）的管理教育方式，在开放手术量下降以及对复杂血管内技术的依赖增加的情况下，解决传统学徒模式的局限性。本综述探讨了模拟技术的当前状况，包括计算建模、流固相互作用、个性化三维打印、人工智能和机器人平台。这些工具能够创建高保真、解剖学精确且生理上逼真的训练环境。经过验证的模拟可增强手术决策、器械部署策略和并发症管理，而不会对患者造成风险。尽管存在成本、实施的可变性和有限的结果数据等障碍，但模拟有望成为未来血管外科课程的重要组成部分。通过将技术创新与个性化、数据驱动的培训相结合，模拟有望重新定义能力发展并提高手术安全性和疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/83098ccbe8d6/cureus-0017-00000089611-i09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/d40116ac11ff/cureus-0017-00000089611-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/1bc51e3c8696/cureus-0017-00000089611-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/db20499234a2/cureus-0017-00000089611-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/4c77f712e53c/cureus-0017-00000089611-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/fd75aa323560/cureus-0017-00000089611-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/56df08725ed2/cureus-0017-00000089611-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/a260af1c7ed1/cureus-0017-00000089611-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/7dd95dde226f/cureus-0017-00000089611-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/83098ccbe8d6/cureus-0017-00000089611-i09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/d40116ac11ff/cureus-0017-00000089611-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/1bc51e3c8696/cureus-0017-00000089611-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/db20499234a2/cureus-0017-00000089611-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/4c77f712e53c/cureus-0017-00000089611-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/fd75aa323560/cureus-0017-00000089611-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/56df08725ed2/cureus-0017-00000089611-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/a260af1c7ed1/cureus-0017-00000089611-i07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/7dd95dde226f/cureus-0017-00000089611-i08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c4e/12414441/83098ccbe8d6/cureus-0017-00000089611-i09.jpg

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Exploring robotic advances, applications, and challenges in neuroendovascular surgery: A scoping review of the CorPath GRX system.探索神经血管内手术中的机器人技术进展、应用及挑战：CorPath GRX系统的范围综述
Interv Neuroradiol. 2024 Dec 20:15910199241305691. doi: 10.1177/15910199241305691.
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The impact of surgical simulation and training technologies on general surgery education.
手术模拟和培训技术对普通外科学教育的影响。
BMC Med Educ. 2024 Nov 13;24(1):1297. doi: 10.1186/s12909-024-06299-w.
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Computational surgery in the management of patients with abdominal aortic aneurysms: Opportunities, challenges, and future directions.计算外科学在腹主动脉瘤患者管理中的应用：机遇、挑战与未来方向。
Semin Vasc Surg. 2024 Sep;37(3):298-305. doi: 10.1053/j.semvascsurg.2024.07.005. Epub 2024 Aug 6.
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The Expansion of Artificial Intelligence in Modifying and Enhancing the Current Management of Abdominal Aortic Aneurysms: A Literature Review.人工智能在改进和加强腹主动脉瘤当前管理中的扩展：文献综述
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