用诊断性腹部计算机断层扫描图像验证结直肠癌患者体质成分分析的自动化细分方法的验证
Nadira R Querido1, Martijn J L Bours1, Ralph Brecheisen2
1Department of Epidemiology, GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands.
Clinical nutrition ESPEN
|August 4, 2024
概括
在结肠直肠癌患者中,AutoMATiCA准确地对腹部CT扫描进行细分,用于身体组成分析. 这种自动化工具与手动细分非常一致,支持其在研究和临床实践中的使用.
科学领域:
- 医学成像分析分析 医学成像分析
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 基于CT扫描的自动化身体成分分析正在发展.
- 外部验证对于临床和研究应用至关重要,特别是在结直肠癌患者中.
研究的目的:
- 验证AutoMATiCA软件用于对结直肠癌患者的L3水平的腹部CT图像进行细分.
- 为了比较AutoMATiCA的自动细分与手动细分.
主要方法:
- 从292名结直肠癌患者的L3CT图像的手动和自动 (AutoMATiCA) 分段.
- 骨肌肉和脂肪组织区域和密度的分析.
- 使用子相似系数 (DSC) 和类内相关系数 (ICC) 的评估.
主要成果:
- 自动MATiCA显示出与手动细分 (DSC 0.900-0.991,ICCs > 0.95) 的良好一致性.
- 没有发现系统性偏差,在布兰德-阿尔特曼地块上达成一致的界限很窄.
结论:
- "AutoMATiCA"是一个准确而高效的自动化工具,用于对结直肠癌患者的身体组成分析.
- 这些发现支持AutoMATiCA在研究和潜在的临床实践中的实用性.
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