MRPMedical Research and Practice2993-96902993-9704Art and Technology10.61369/MRP.2026060014ArticleMRI影像组学结合临床分类诊断宫颈癌FIGO2A期和2B期https://artdesignp.com/journal/MRP/4/6/10.61369/MRP.2026060014齐植,高培硕,刘伟,闫锐2026462026-06-20目的 构建一个基于多参数磁共振（MRI）影像组学特征的模型，结合临床危险因素融合模型评估其术前预测宫颈癌ⅡA期和ⅡB期的价值。材料与方法 回顾性收集西北妇女儿童医院89例术前行MRI检查并经手术病理证实的ⅡA期和ⅡB期宫颈癌患者的临床和MRI资料，在MRI轴位T2WI压脂序列和DWI序列上，逐层手动勾画病灶及同层宫颈所在区域，提取影像组学特征，构建并筛选出最佳的影像组学模型，再将筛选出的有意义的临床和实验室指标与影像组学融合构建联合模型。结果 DWI序列（病灶和宫颈区域）分期模型的受试者工作特征曲线下面积（Area Under Curve，AUC）分别为0.856、0.865；T2WI压脂序列（病灶和宫颈区域）分期模型的受试者工作特征曲线下面积（Area Under Curve，AUC）分别为0.827、0.842。多因素分析结果显示，鳞状细胞癌抗原（SCCA）是宫颈癌患者ⅡA期和ⅡB分期预测的独立危险因素（P＜0.05），联合预测因子AUC为0.839。最优 融合模型AUC为0.933，预测效能优于影像组学预测模型和临床特征模型。结论 多参数MRI影像组学特征联合临床因素构建的融合模型，有助于临床评估分期并制定个体化治疗方案。宫颈癌,FIGO分期,磁共振成像,影像组学,宫旁浸润

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