Keywords: Muscle, Tumor区分不同亚型的纤维化肿瘤仍然具有挑战性，但具有重要的临床意义。本研究的目的是评估基于常规 MRI 序列的影像组学在区分惰性纤维化肿瘤和躯干和四肢浸润性纤维化肿瘤的价值。预测模型基于 T1 图像的逻辑回归在区分惰性纤维瘤和侵袭性纤维瘤方面具有最好的预测效率，对 T1 和 T2 预测模型贡献最大的特征分别是 idn 和最小轴长。病变的大小和深度对判断肿瘤的性质有一定的参考价值。
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