Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI
Intra- and peritumoral radiomics on assessment of breast cancer molecular subtypes based on mammography and MRI
复制标题
基于乳房 X 线摄影和 MRI 评估乳腺癌分子亚型的瘤内和瘤周放射组学
DOI：
10.1007/s00432-021-03822-0
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发表时间：
2021-10-08
影响因子：
3.6
通讯作者：
Jiang, Xiran
中科院分区：
文献类型：
--
作者：
Niu, Shuxian;Jiang, Wenyan;Jiang, Xiran
目的：探讨数字乳腺摄影(DM)、数字乳腺断层扫描(DBT)、扩散加权成像(DW)和动态增强磁共振成像(DCE)在乳腺癌分子亚型预测中的作用。方法：对241例乳腺癌患者行乳腺MD、DBT、DW和DCE扫描。放射组学特征是从瘤内和瘤周区域计算出来的，并用最小绝对收缩和选择算子(LASSO)回归进行选择以形成放射组学特征(RSS)。评估四种模式下瘤内和瘤周区域的预测性能，并与受试者工作特征曲线下面积(ROC曲线下面积)、特异度和敏感度作为比较指标进行比较。结果：与单独使用瘤内或瘤周区域相比，联合瘤内和瘤周区域的RSS预测AUC有更好的效果。在训练(腔A：0.859和0.805；腔B：0.773和0.747)和验证(腔A：0.906和0.853；腔B：0.807和0.784)队列中，DM+DBT在预测腔A和腔B方面比DW+DCE产生更好的AUC。对于HER2富集型和TN的预测，在训练(HER2富集型：0.954和0.857；TN：0.877和0.802)和验证(HER2富集型：0.974和0.907；TN：0.938和0.874)队列中，DW+DCE比DM+DBT产生更好的AUC。结论：瘤周区域可以为肿瘤内区域预测分子亚型提供补充信息。与MRI相比，钼靶X线片对预测管腔A、B的AUC值较高，而对HER2富集型和TN的AUC值较低。
Purpose:This study aimed to investigate the efficacy of digital mammography (DM), digital breast tomosynthesis (DBT), diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) MRI separately and combined in the prediction of molecular subtypes of breast cancer.Methods:A total of 241 patients were enrolled and underwent breast MD, DBT, DW and DCE scans. Radiomics features were calculated from intra- and peritumoral regions, and selected with least absolute shrinkage and selection operator (LASSO) regression to develop radiomics signatures (RSs). Prediction performance of intra- and peritumoral regions in the four modalities were evaluated and compared with area under the receiver-operating characteristic (ROC) curve (AUC), specificity and sensitivity as comparison metrics.Results:The RSs derived from combined intra- and peritumoral regions improved prediction AUCs compared with those from intra- or peritumoral regions alone. DM plus DBT generated better AUCs than the DW plus DCE on predicting Luminal A and Luminal B in the training (Luminal A: 0.859 and 0.805; Luminal B: 0.773 and 0.747) and validation (Luminal A: 0.906 and 0.853; Luminal B: 0.807 and 0.784) cohort. For the prediction of HER2-enriched and TN, the DW plus DCE yielded better AUCs than the DM plus DBT in the training (HER2-enriched: 0.954 and 0.857; TN: 0.877 and 0.802) and validation (HER2-enriched: 0.974 and 0.907; TN: 0.938 and 0.874) cohort.Conclusions:Peritumoral regions can provide complementary information to intratumoral regions for the prediction of molecular subtypes. Compared with MRI, the mammography showed higher AUCs for the prediction of Luminal A and B, but lower AUCs for the prediction of HER2-enriched and TN.