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评估 3D 图像分割工作坊对解剖学教育和图像解读的影响:一项前瞻性试点研究。

Assessing the impact of 3D image segmentation workshops on anatomical education and image interpretation: A prospective pilot study.

机构信息

The Medical School, Newcastle University, Newcastle upon Tyne, UK.

Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.

出版信息

Anat Sci Educ. 2023 Nov-Dec;16(6):1024-1032. doi: 10.1002/ase.2314. Epub 2023 Jun 28.


DOI:10.1002/ase.2314
PMID:37381649
Abstract

Three-dimensional (3D) segmentation, a process involving digitally marking anatomical structures on cross-sectional images such as computed tomography (CT), and 3D printing (3DP) are being increasingly utilized in medical education. Exposure to this technology within medical schools and hospitals remains limited in the United Kingdom. M3dicube UK, a national medical student, and junior doctor-led 3DP interest group piloted a 3D image segmentation workshop to gauge the impact of incorporating 3D segmentation technology on anatomical education. The workshop, piloted with medical students and doctors within the United Kingdom between September 2020 and 2021, introduced participants to 3D segmentation and offered practical experience segmenting anatomical models. Thirty-three participants were recruited, with 33 pre-workshop and 24 post-workshop surveys completed. Two-tailed t-tests were used to compare mean scores. From pre- to post-workshop, increases were noted in participants' confidence in interpreting CT scans (2.36 to 3.13, p = 0.010) and interacting with 3D printing technology (2.15 to 3.33, p = 0.00053), perceived utility of creating 3D models to aid image interpretation (4.18 to 4.45, p = 0.0027), improved anatomical understanding (4.2 to 4.7, p = 0.0018), and utility in medical education (4.45 to 4.79, p = 0.077). This pilot study provides early evidence of the utility of exposing medical students and healthcare professionals in the United Kingdom to 3D segmentation as part of their anatomical education, with additional benefit in imaging interpretation ability.

摘要

三维(3D)分割是一种在计算机断层扫描(CT)等横截面图像上对解剖结构进行数字化标记的过程,3D 打印(3DP)也越来越多地应用于医学教育中。在英国,医学院校和医院对这项技术的接触仍然有限。M3dicube UK 是一个由医学生和初级医生领导的 3DP 兴趣小组,他们开展了一项 3D 图像分割工作坊,以评估将 3D 分割技术纳入解剖学教育的效果。该工作坊于 2020 年 9 月至 2021 年在英国的医学生和医生中进行了试点,向参与者介绍了 3D 分割技术,并提供了解剖模型分割的实践经验。共招募了 33 名参与者,完成了 33 份预工作坊和 24 份后工作坊调查。使用双尾 t 检验比较平均得分。从预工作坊到后工作坊,参与者对解读 CT 扫描的信心(从 2.36 分提高到 3.13 分,p=0.010)和与 3D 打印技术互动的信心(从 2.15 分提高到 3.33 分,p=0.00053)、认为创建 3D 模型有助于图像解读的实用性(从 4.18 分提高到 4.45 分,p=0.0027)、对解剖学理解的提高(从 4.2 分提高到 4.7 分,p=0.0018)和在医学教育中的实用性(从 4.45 分提高到 4.79 分,p=0.077)都有所提高。这项试点研究提供了早期证据,证明让英国的医学生和医疗保健专业人员接触 3D 分割技术作为其解剖学教育的一部分具有实用性,对提高成像解读能力也有额外的好处。

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