【摘要】 目的 基于乳腺癌MRI特征建立可以无创性预测腋窝淋巴结转移(ALNM)的诺模图。方法 选取2013年8月～2020年8月于青岛大学附属医院放射科病理证实的乳腺癌患者394例，均行MRI检查并在1个月内获得淋巴结病理结果。根据乳腺影像报告和数据系统(BI-RADS)标准描述病变的MRI表现，分析乳腺癌原发肿瘤的MRI特征与腋窝淋巴结转移的关系并建立诺模图。结果 乳腺癌原发肿瘤的最大径及ADC值与腋窝淋巴结转移之间存在相关性，其次，与腋窝淋巴结转移相关的特征还有肿瘤位置、肿瘤边缘及肿瘤形状(P <0.05)，多因素二元logistic回归后纳入肿瘤最大径、ADC值、肿瘤形状及腋窝有无可疑淋巴结建立对淋巴结预测的诺模图AUC值为0.890。结论 基于乳腺癌MRI特征的诺模图可以预测ALNM。这种非侵入性的方法在临床应用上很有前景。更多还原

【Abstract】 Objective A noninvasive nomogram was established to predict axillary lymph node( ALN) metastasis based on MRI features of breast cancer. Methods A total of 394 pathologically confirmed breast cancer patients in the affiliated hospital of qingdao university from August 2013 to August 2020 were collected. All patients underwent MRI examination and lymph node pathology results were obtained within one month. The MRI manifestations of the lesions were described according to the Breast Imaging Report and Data System( BI-RADS) standard,and the relationship between the MRI features of primary breast cancer tumors and axillary lymph node metastasis was analyzed and the nomogram was established. Results The maximum diameter and ADC value of primary breast cancer tumor were correlated with axillary lymph node metastasis. Secondly,features related to axillary lymph node metastasis included tumor location,tumor margin and tumor shape( P < 0. 05). After multivariate binary logistic regression,the AUC value of Normogram,including the maximum tumor diameter,ADC value,tumor shape and the presence of suspected axillary lymph nodes,to establish lymph node prediction,was 0. 890. Conclusion We demonstrate that ALNM can be predicted based on the MRI features of breast cancer. The non-invasive method has great potential for clinical application.更多还原