Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade

作者：Wenjian Xu, Dapeng Hao, Feng Hou, Dejing Zhang, Hexiang Wang · 发表于：American Journal of Roentgenology · 年份：2020 · DOI：10.2214/ajr.19.22147 · 被引用次数：54 · 研究领域：Sarcoma Diagnosis and Treatment、Radiomics and Machine Learning in Medical Imaging、Bone Tumor Diagnosis and Treatments

Because of tumor heterogeneity, initial biopsy grade may be an underestimate of the final grade identified in extensive histopathologic analysis of surgical specimens. This creates an urgent need to construct an accurate preoperative approach to grading STS. This radiomics study revealed the optimal machine learning approaches for differentiating STS grades. This capability can enhance the precision of preoperative diagnosis.