{"title":"胸腔镜肺切除术中基于能力的新型仿真模型。","authors":"Ganwei Liu, Feng Yang, Zuli Zhou, Guanchao Jiang","doi":"10.1055/a-2702-2239","DOIUrl":null,"url":null,"abstract":"<p><p>Simulation-based thoracic surgery training is increasingly incorporating physical models to enhance traditional learning methods. Conventional box trainers, though useful for basic skills, often lack anatomical accuracy and tactile feedback, limiting their relevance for complex procedures like thoracoscopic lung resection. High-fidelity 3D-printed lung models offer realistic anatomy and procedural flow, but their educational impact remains underexplored.Fifty-two surgical residents without prior thoracoscopic experience were randomly assigned to a high-fidelity lung model group or a conventional Fundamentals of Laparoscopic Surgery (FLS) box trainer group. All participants completed a baseline thoracic anatomy test and received standardized educational materials. The lung model group received structured simulation training on procedural anatomy and operative steps, while the FLS group practiced fundamental laparoscopic tasks. After training, participants repeated the anatomy test and performed a thoracoscopic lung wedge resection in a live animal model. Performance was assessed using the Objective Structured Assessment of Technical Skill (OSATS) and a 5-point confidence scale.A total of 52 surgical residents participated in the study, with 26 assigned to the high-fidelity lung model group and 26 to the FLS trainer group. Baseline anatomy scores were similar between groups (65.42 ± 6.10 vs. 66.12 ± 5.92; <i>p</i> = 0.710). Posttraining, the lung model group showed greater gains in anatomy comprehension (87.60 ± 4.75 vs. 78.19 ± 5.54; <i>p</i> < 0.001), higher OSATS scores (19.18 ± 2.43 vs. 15.41 ± 2.41; <i>p</i> < 0.001), and increased confidence (3.13 ± 0.61 vs. 2.27 ± 0.68; <i>p</i> = 0.002).High-fidelity 3D-printed lung models significantly enhance anatomical understanding, thoracoscopic skills, and confidence compared with conventional box trainers. These results support integrating anatomically accurate simulation into thoracic surgical education to improve both cognitive and psychomotor outcomes.</p>","PeriodicalId":23057,"journal":{"name":"Thoracic and Cardiovascular Surgeon","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Competency-Based Simulation Model for Thoracoscopic Lung Resection.\",\"authors\":\"Ganwei Liu, Feng Yang, Zuli Zhou, Guanchao Jiang\",\"doi\":\"10.1055/a-2702-2239\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Simulation-based thoracic surgery training is increasingly incorporating physical models to enhance traditional learning methods. Conventional box trainers, though useful for basic skills, often lack anatomical accuracy and tactile feedback, limiting their relevance for complex procedures like thoracoscopic lung resection. High-fidelity 3D-printed lung models offer realistic anatomy and procedural flow, but their educational impact remains underexplored.Fifty-two surgical residents without prior thoracoscopic experience were randomly assigned to a high-fidelity lung model group or a conventional Fundamentals of Laparoscopic Surgery (FLS) box trainer group. All participants completed a baseline thoracic anatomy test and received standardized educational materials. The lung model group received structured simulation training on procedural anatomy and operative steps, while the FLS group practiced fundamental laparoscopic tasks. After training, participants repeated the anatomy test and performed a thoracoscopic lung wedge resection in a live animal model. Performance was assessed using the Objective Structured Assessment of Technical Skill (OSATS) and a 5-point confidence scale.A total of 52 surgical residents participated in the study, with 26 assigned to the high-fidelity lung model group and 26 to the FLS trainer group. Baseline anatomy scores were similar between groups (65.42 ± 6.10 vs. 66.12 ± 5.92; <i>p</i> = 0.710). Posttraining, the lung model group showed greater gains in anatomy comprehension (87.60 ± 4.75 vs. 78.19 ± 5.54; <i>p</i> < 0.001), higher OSATS scores (19.18 ± 2.43 vs. 15.41 ± 2.41; <i>p</i> < 0.001), and increased confidence (3.13 ± 0.61 vs. 2.27 ± 0.68; <i>p</i> = 0.002).High-fidelity 3D-printed lung models significantly enhance anatomical understanding, thoracoscopic skills, and confidence compared with conventional box trainers. 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引用次数: 0
摘要
背景:基于模拟的胸外科训练越来越多地结合物理模型来增强传统的学习方法。传统的拳击训练器虽然对基本技能很有用,但往往缺乏解剖准确性和触觉反馈,限制了它们在胸腔镜肺切除术等复杂手术中的应用。高保真3d打印肺模型提供了真实的解剖和程序流程,但其教育影响仍未得到充分探索。方法:将52例无胸腔镜手术经验的住院医师随机分为高保真肺模型组和常规FLS训练箱组。所有参与者都完成了基线胸部解剖测试,并接受了标准化的教育材料。肺模型组接受程序性解剖和手术步骤的结构化模拟训练,FLS组进行基础腹腔镜任务训练。训练后,参与者重复解剖测试,并在活体动物模型中进行胸腔镜肺楔形切除术。使用客观结构化技术技能评估(OSATS)和5点置信度量表评估绩效。结果:共有52名外科住院医师参与研究,其中高保真肺模型组26名,FLS训练组26名。基线解剖评分组间相似(65.42 ± 6.10 vs. 66.12 ± 5.92;p = 0.710)。训练后,肺模型组在解剖理解方面有更大的提高(87.60 ± 4.75 vs. 78.19 ± 5.54;p )结论:高保真肺模型提高了解剖理解、手术技巧和信心。它们是胸外科训练的宝贵补充。
A Novel Competency-Based Simulation Model for Thoracoscopic Lung Resection.
Simulation-based thoracic surgery training is increasingly incorporating physical models to enhance traditional learning methods. Conventional box trainers, though useful for basic skills, often lack anatomical accuracy and tactile feedback, limiting their relevance for complex procedures like thoracoscopic lung resection. High-fidelity 3D-printed lung models offer realistic anatomy and procedural flow, but their educational impact remains underexplored.Fifty-two surgical residents without prior thoracoscopic experience were randomly assigned to a high-fidelity lung model group or a conventional Fundamentals of Laparoscopic Surgery (FLS) box trainer group. All participants completed a baseline thoracic anatomy test and received standardized educational materials. The lung model group received structured simulation training on procedural anatomy and operative steps, while the FLS group practiced fundamental laparoscopic tasks. After training, participants repeated the anatomy test and performed a thoracoscopic lung wedge resection in a live animal model. Performance was assessed using the Objective Structured Assessment of Technical Skill (OSATS) and a 5-point confidence scale.A total of 52 surgical residents participated in the study, with 26 assigned to the high-fidelity lung model group and 26 to the FLS trainer group. Baseline anatomy scores were similar between groups (65.42 ± 6.10 vs. 66.12 ± 5.92; p = 0.710). Posttraining, the lung model group showed greater gains in anatomy comprehension (87.60 ± 4.75 vs. 78.19 ± 5.54; p < 0.001), higher OSATS scores (19.18 ± 2.43 vs. 15.41 ± 2.41; p < 0.001), and increased confidence (3.13 ± 0.61 vs. 2.27 ± 0.68; p = 0.002).High-fidelity 3D-printed lung models significantly enhance anatomical understanding, thoracoscopic skills, and confidence compared with conventional box trainers. These results support integrating anatomically accurate simulation into thoracic surgical education to improve both cognitive and psychomotor outcomes.
期刊介绍:
The Thoracic and Cardiovascular Surgeon publishes articles of the highest standard from internationally recognized thoracic and cardiovascular surgeons, cardiologists, anesthesiologists, physiologists, and pathologists. This journal is an essential resource for anyone working in this field.
Original articles, short communications, reviews and important meeting announcements keep you abreast of key clinical advances, as well as providing the theoretical background of cardiovascular and thoracic surgery. Case reports are published in our Open Access companion journal The Thoracic and Cardiovascular Surgeon Reports.