一个免费的开源软件平台可以在现实生活中充当最小除确认评估软件吗?
Francesca Menchini1, Davide Noascone2, Fernanda Ciferri3
1Department of Diagnostic and Interventional Radiology, A.O.U. Città della Salute e della Scienza, Molinette Hospital, Turin, Italy. francesca.menchini@unito.it.
Cardiovascular and interventional radiology
|February 27, 2026
概括
3D Slicer显示了经验丰富的用户之间对评估最小废除边缘 (MAM) 的实质性协议. 然而,其工作流程和时间要求限制了临床应用,这表明需要专门的软件.
科学领域:
- 医疗成像医学成像
- 图像处理软件 图像处理软件
- 在瘤学瘤学.
背景情况:
- 精确评估最小消耗边缘 (MAM) 对于评估肝脏瘤治疗疗效至关重要.
- 目前用于MAM评估的方法可能耗时且主观.
研究的目的:
- 评估免费开源图像处理软件3D Slicer在切除肝脏瘤中评估MAM的潜力.
- 为了比较基于3D Slicer的MAM评估的一致性和时间效率与传统的视觉评估.
主要方法:
- 3D Slicer被追溯地应用于切除肝脏瘤的手术前和后CT扫描.
- 两个运营商使用3D Slicer的细分,注册和模型对模型工具来对MAM进行分类.
- 第三个操作员进行了视觉评估;评估了操作员之间的一致性 (K Cohen) 和处理时间.
主要成果:
- 在使用3D Slicer进行MAM分类 (≤0mm,>0-<5mm,≥5mm) 的操作人员之间观察到实质性的协议 (K Cohen 0.65-0.74).
- 在3D Slicer和视觉评估之间发现了很少或没有一致性 (K Cohen -0.30至0.11).
- 与视觉评估相比,3D Slicer的MAM平均计算时间明显长.
结论:
- 3D Slicer显示了MAM评估的强有力的读者间协议,表明其潜在的实用性.
- 目前3D Slicer的工作流程和时间要求阻碍其广泛用于MAM评估的临床采用.
- 开发特定任务的软件可能是必要的,以优化在临床实践中MAM评估.
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