基于CT的气管形状的量化,以检测甲状腺癌的入侵
Ziren Kong1, Jian Wang1, Song Ni1
1Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 Panjiayuannanli, Chaoyang District, Beijing, China.
European radiology
|November 5, 2023
概括
这项研究引入了一种基于CT的方法,使用几何和边界形状特征来量化气管形状并检测甲状腺癌入侵. 六个选定的特征准确地识别了气管入侵,优于视觉评估.
科学领域:
- 放射学和医学成像学 医学成像学
- 在瘤学瘤学.
- 定量图像分析 定量图像分析
背景情况:
- 甲状腺癌可以侵入气管,需要准确的诊断方法.
- 目前评估气管侵袭的方法可能有局限性.
研究的目的:
- 开发和验证基于CT的定量方法,用于评估气管形状.
- 评估该方法在区分气管侵袭和非侵袭在差异化甲状腺癌 (DTC) 中的有效性.
主要方法:
- 定义了116个定量形状特征 (56个几何时刻,60个边界形状特征).
- 在CT扫描中,气管光被半自动细分.
- 使用接收器操作特征 (ROC) 曲线分析来选择最佳特征和值.
主要成果:
- 六个选定的特征 (3个几何特征,3个边界特征) 在识别气管入侵方面表现出高性能 (AUC 0.875-0.918).
- 开发的方法实现了0.821-0.891的精度和0.818-0.932.93的特异性.
- 定量方法的性能超过了视觉评估结果.
结论:
- 定量形状特征可靠地识别受差异化甲状腺癌侵袭气管.
- 开发的基于CT的方法提供了一种非侵入性,半自动化的方法来评估气管侵袭.
- 选择的特征有效量化DTC患者的气管形.
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