Differentiation Between Lipomas and Atypical Lipomatous Tumors of the Extremities Using Radiomics

无线电技术 医学 接收机工作特性 置信区间 卡帕 放射科 磁共振成像 脂肪瘤 核医学 数学 内科学 几何学
作者
Yaozhou Tang,Jingjing Cui,Jingyi Zhu,Guoguang Fan
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:56 (6): 1746-1754 被引量:15
标识
DOI:10.1002/jmri.28167
摘要

The differentiation of soft tissue lipomas from atypical lipoma tumors (ALTs) of the extremities is important because of the distinction of the cytogenetic profiles and the treatment decisions.To investigate a radiomics method to differentiate between lipomas and ALTs of the extremities.Retrospective.Imaging data of 122 patients including 90 cases of lipomas and 32 cases of ALTs.Axial T1-weighted imaging and fat suppressed T2-weighted imaging at 3.0T MRI.Analysis of variance and the least absolute shrinkage and selection operator methods were used for feature selection and the random forest method was used to build three radiomics models based on T1WI, FS T2WI, and their combination (T1&T2WI). Three independent radiologists classified the tumors based on the subjective assessments.The area under the curve (AUC) of the receiver operating characteristic curve, accuracy, F1-score, specificity, and sensitivity were employed. The differences of the classifiers and discriminating ability of the radiologists and the radiomics model were compared by Delong test. A P value <0.05 was considered significant. Kappa test was used to determine the inter-reader agreements between the radiologists.The AUCs were 0.952 (95% confidence interval [CI]: 0.785-0.998), 0.944 (95% CI: 0.774-0.997), and 0.968 (95% CI: 0.809-1) for T1WI, FS T2WI, and T1&T2WI models in testing sets respectively. Delong test showed there were no significant difference between the different radiomics models (P > 0.05). The AUCs of the radiologists were 0.893 (95% CI: 0.824-0.942), 0.831 (95% CI: 0.752-0.893), and 0.893 (95% CI: 0.824-0.94), respectively. There were significant difference between radiomics model and radiologists' model in the training and entire cohorts (P < 0.05) while there were no significant difference in the testing sets (P > 0.05).Radiomics has the potential to distinguish between lipomas and ALTs of the extremities and their discrimination ability is no weaker than the senor radiologists.3 TECHNICAL EFFICACY STAGE: 2.
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