肺癌 (NSCLC) 的CT和MRI放射特征:比较和软件一致性
Chandra Bortolotto1,2, Alessandra Pinto3, Francesca Brero4,5
1Radiology Institute, Fondazione IRCCS Policlinico San Matteo, Pavia, 27100, Italy.
European radiology experimental
|June 16, 2024
概括
两个开源的放射学软件显示,肺癌分析的一致性超过90%. 一些形状和纹理特征在CT和MRI中保持稳定,有助于临床翻译.
科学领域:
- 医学成像分析 医学成像分析
- 定量成像生物标志物生物标志物
- 无线电学 (Radiomics) 是一种辐射学.
背景情况:
- 放射学从医学图像中提取可挖掘的数据,但分析选择带来了变化.
- 调查软件协议对于可靠的放射学研究至关重要.
研究的目的:
- 评估两个开源放射学软件 (PyRadiomics和LIFEx) 之间的协议,用于肺癌CT和MRI.
- 为了识别不同成像方式中稳定的放射性特征.
主要方法:
- 分析了35个非小细胞肺癌 (NSCLC) CT和MRI数据集.
- 提取了66个符合图像生物标志物标准化倡议的常见特征.
- 评估了软件之间的协议,以及成像技术之间的协议.
主要成果:
- PyRadiomics和LIFEx显示出高度一致 (94%用于CT,95%用于MRI).
- 大约11%的特征显示CT和MRI之间的显著对应.
- 与CT相比,MRI分析对重新采样方法更敏感.
结论:
- LIFEx和PyRadiomics对NSCLC的放射学表现出强烈的一致性,CT和MRI均为90%以上.
- 一个子集的形状和纹理特征是稳定的跨CT和MRI,支持跨模式的翻译.
- 再抽样方法影响软件合规性和功能稳定性.
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