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多器官CT图像分割工具对全身[F]FDG-PET/CT临床成像的比较
Cameron Wheeler1,2,3, Phyo H Khaing4, Eleonora D'Arnese5
1School of Informatics, University of Edinburgh, 10 Crichton St, Edinburgh, EH8 9AB, Scotland, UK. Cam.Wheeler@ed.ac.uk.
European journal of nuclear medicine and molecular imaging
|November 27, 2025
概括
自动化多器官细分工具 (MOOSE,TotalSegmentator) 显示可比的子得分,但与手动划分相比,器官体积和SUV指标显著不同,特别是肺部,大脑和脏.
科学领域:
- 医学成像分析 医学成像分析
- 放射学 信息学 信息学
背景情况:
- 自动化多器官细分有助于临床医生和研究人员在正子发射断层扫描/计算机断层扫描 (PET/CT) 成像.
- 手动划线是耗时的,并且取决于操作员.
研究的目的:
- 比较两个自动化的多器官CT细分工具:MOOSE和TotalSegmentator.
- 评估他们的表现与手动划分对比,感知黄金标准.
主要方法:
- 在24名肺癌患者中,将MOOSE和TotalSegmentator与手册标签进行了比较.
- 通过使用迪斯-索伦森系数 (DSC),豪斯多夫距离 (HD),平均对称表面距离 (ASSD),精度和回忆来评估细分.
- 使用器官体积,SUVmean,SUVmax和Hounsfield单位评估临床相关性.
主要成果:
- MOOSE和TotalSegmentator取得了可比的DSC结果.
- 在自动化工具和肺部,大脑和脏的手动划分之间观察到器官体积和SUV的显著差异.
结论:
- 多器官细分工具的性能需要超出Dice-Sørensen分数的评估.
- 临床相关性指标对于评估自动化细分精度至关重要.
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