Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
Clin Radiol. 2022 Nov;77(11):855-863. doi: 10.1016/j.crad.2022.06.019. Epub 2022 Aug 30.
To evaluate the usefulness of synthetic magnetic resonance imaging (MRI) performed before the initiation of neoadjuvant chemotherapy (NAC) in predicting whether breast cancers can achieve a pathological complete response (pCR) after the completion of NAC.
This retrospective study investigated 37 consecutive patients with 39 breast cancers (pCR: 14, and non-pCR: 25) who underwent dynamic contrast-enhanced (DCE)-MRI and synthetic MRI before the initiation of NAC. Using synthetic MRI images, quantitative values (T1 and T2 relaxation times, proton density [PD] and their standard deviations [SD]) were obtained in breast lesions, before (Pre-T1, Pre-T2, Pre-PD, SD of Pre-T1, SD of Pre-T2, SD of Pre-PD) and after (Gd-T1, Gd-T2, Gd-PD, SD of Gd-T1, SD of Gd-T2, SD of Gd-PD) contrast agent injection. The aforementioned quantitative values and several morphological features that were identified on DCE-MRI were compared between pCR and non-pCR.
Multivariate analyses revealed that the SD of Pre-T2 (p=0.038) was significant and was an independent predictor of pCR, with an area under the receiver operating characteristics curve of 0.829. The sensitivity, specificity, and accuracy of the SD of Pre-T2 with an optimal cut-off value of 11.5 were 71.4%, 80%, and 76.3%, respectively.
The SD of Pre-T2 obtained from synthetic MRI was used successfully to predict those breast cancers that would achieve a pCR after the completion of NAC; however, these results are preliminary and need to be verified by further studies.
评估新辅助化疗(NAC)前合成磁共振成像(MRI)的效用,以预测乳腺癌在完成 NAC 后能否达到病理完全缓解(pCR)。
本回顾性研究纳入了 37 例 39 个乳腺癌患者(pCR:14 个,非 pCR:25 个),这些患者在接受 NAC 前接受了动态对比增强(DCE)-MRI 和合成 MRI 检查。使用合成 MRI 图像,在乳腺癌病变中获得定量值(T1 和 T2 弛豫时间、质子密度 [PD]及其标准差 [SD]),包括治疗前(Pre-T1、Pre-T2、Pre-PD、Pre-T1 的 SD、Pre-T2 的 SD、Pre-PD 的 SD)和治疗后(Gd-T1、Gd-T2、Gd-PD、Gd-T1 的 SD、Gd-T2 的 SD、Gd-PD 的 SD)造影剂注射后。比较了 pCR 和非 pCR 患者之间的上述定量值和 DCE-MRI 上识别的几种形态特征。
多变量分析显示,Pre-T2 的 SD(p=0.038)是显著的,是 pCR 的独立预测因子,其受试者工作特征曲线下面积为 0.829。Pre-T2 的 SD 的最佳截断值为 11.5 时,其灵敏度、特异性和准确性分别为 71.4%、80%和 76.3%。
从合成 MRI 获得的 Pre-T2 的 SD 可成功用于预测那些在完成 NAC 后将达到 pCR 的乳腺癌;然而,这些结果是初步的,需要进一步研究验证。