Department of Radiology, Aberdeen Royal Infirmary, NHS Grampian, Aberdeen, UK.
Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, UK.
J Magn Reson Imaging. 2022 Nov;56(5):1559-1568. doi: 10.1002/jmri.28191. Epub 2022 Apr 9.
Radiomics is the high throughput analysis of medical images using computer algorithms, which specifically assess textural features. It has increasingly been proposed as a tool for the development of imaging biomarkers. However, an important acknowledged limitation of radiomics is the lack of reproducibility of features produced.
To assess reproducibility and repeatability of radiomics variables in brain MRI through a multivisit, multicenter study.
Retrospective.
Fourteen individuals visiting three institutions twice, 10 males with the mean age of 36.3 years and age range 25-51.
3D T1W inversion recovery on three 1.5-T General Electric scanners.
Radiomics analysis by a consultant radiologist performed on the T1W images of the whole brain on all visits. All possible radiomics features were generated.
Concordance correlation coefficient (CCC) and dynamic range (DR) for all variables were calculated to assess the test-retest repeatability. Intraclass correlation coefficients (ICCs) were calculated to investigate the reproducibility of features across centers.
Of 1596 features generated, 57 from center 1, 15 from center 2, and 22 from center 3 had a CCC > 0.9 and DR > 0.9. Eight variables had CCC > 0.9 and DR > 0.9 in all centers. Forty-one variables had an ICC of >0.9. No variables had CCC > 0.9, DR > 0.9, and ICC > 0.9.
Repeatability and reproducibility of variables is a significant limitation of radiomics analysis in 3DT1W brain MRI. Careful selection of radiomic features is required.
4 TECHNICAL EFFICACY STAGE: 2.
放射组学是使用计算机算法对医学图像进行高通量分析的方法,它专门评估纹理特征。它越来越多地被提议作为开发成像生物标志物的工具。然而,放射组学的一个重要公认局限性是所产生特征的可重复性差。
通过多访视、多中心研究评估脑 MRI 中放射组学变量的可重复性和可再现性。
回顾性。
14 名个体在 3 家机构进行了两次访问,男性 10 名,平均年龄为 36.3 岁,年龄范围为 25-51 岁。
3 个 1.5T 通用电气扫描仪上的 3D T1W 反转恢复。
由顾问放射科医生在所有访问时对整个大脑的 T1W 图像进行放射组学分析。生成了所有可能的放射组学特征。
计算所有变量的一致性相关系数(CCC)和动态范围(DR),以评估测试-再测试的可重复性。计算组内相关系数(ICC)以研究特征在中心之间的可再现性。
在生成的 1596 个特征中,来自中心 1 的 57 个、中心 2 的 15 个和中心 3 的 22 个具有 CCC > 0.9 和 DR > 0.9。在所有中心中,有 8 个变量的 CCC > 0.9 和 DR > 0.9。有 41 个变量的 ICC > 0.9。没有变量的 CCC > 0.9、DR > 0.9 和 ICC > 0.9。
3DT1W 脑 MRI 中放射组学分析的变量可重复性和再现性是一个显著的局限性。需要仔细选择放射组学特征。
4 技术功效阶段:2。