Radiomics Nomograms Based on Non‐enhanced MRI and Clinical Risk Factors for the Differentiation of Chondrosarcoma from Enchondroma

作者：Jielin Pan, Ke Zhang, Hongbo Le, Yunping Jiang, Wenjuan Li, Yayuan Geng, Shaolin Li, Guobin Hong · 发表于：Journal of Magnetic Resonance Imaging · 年份：2021 · DOI：10.1002/jmri.27690 · 被引用次数：46 · 研究领域：Bone Tumor Diagnosis and Treatments、Musculoskeletal synovial abnormalities and treatments、Radiomics and Machine Learning in Medical Imaging

BACKGROUND: Differentiating chondrosarcoma from enchondroma using conventional MRI remains challenging. An effective method for accurate preoperative diagnosis could affect the management and prognosis of patients. PURPOSE: To validate and evaluate radiomics nomograms based on non-enhanced MRI and clinical risk factors for the differentiation of chondrosarcoma from enchondroma. STUDY TYPE: Retrospective. POPULATION: A total of 103 patients with pathologically confirmed chondrosarcoma (n = 53) and enchondroma (n = 50) were randomly divided into training (n = 68) and validation (n = 35) groups. FIELD STRENGTH/SEQUENCE: Axial non-contrast-enhanced T1-weighted images (T1WI) and fat-suppressed T2-weighted images (T2WI-FS) were acquired at 3.0 T. ASSESSMENT: Clinical risk factors (sex, age, and tumor location) and diagnosis assessment based on morphologic MRI by three radiologists were recorded. Three radiomics signatures were established based on the T1WI, T2WI-FS, and T1WI + T2WI-FS sequences. Three clinical radiomics nomograms were developed based on the clinical risk factors and three radiomics signatures. STATISTICAL TESTS: The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of radiomics signatures and clinical radiomics nomograms. RESULTS: Tumor location was an important clinical risk factor (P < 0.05). The radiomics signature based on T1WI and T1WI + T2WI-FS features performed better than that based on T2WI-FS in the validati...