Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
Department of Radiology, Seoul National College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Eur Radiol. 2018 Jul;28(7):2986-2995. doi: 10.1007/s00330-017-5251-8. Epub 2018 Jan 29.
To retrospectively investigate whether the lesion-to-background parenchymal signal enhancement ratio (SER) on breast MRI can distinguish pathological complete response (pCR) from minimal residual cancer following neoadjuvant chemotherapy (NAT), and compare its performance with the conventional criterion.
216 breast cancer patients who had undergone NAT and MRI and achieved pCR or minimal residual cancer on surgical histopathology were included. Clinical-pathological features, SER and lesion size on MR images were analysed. Multivariate logistic regression, ROC curve and McNemar's test were performed.
SER on early-phase MR images was independently associated with pCR (odds ratio [OR], 0.286 [95% CI: 0.113-0.725], p = .008 for Reader 1; OR, 0.306 [95% CI: 0.111-0.841], p = .022 for Reader 2). Compared with the conventional criterion, SER ≤1.6 increased AUC (0.585-0.599 vs. 0.709-0.771, p=.001-.033) and specificity (21.9-27.4% vs. 80.8-86.3%, p <.001) in identifying pCR. SER ≤1.6 and/or size ≤0.2 cm criterion showed the highest specificity of 90.4%.
SER on early-phase MR images was independently associated with pCR, and showed improved AUC and specificity compared to the conventional criterion. The combined criterion of SER and size could be used to select candidates to avoid surgery in a future study.
• Compared with conventional criterion, SER ≤ 1.6 criterion increased AUC and specificity. • Simple measurement of signal intensity could differentiate pCR from minimal residual cancer. • SER ≤1.6 and/or size≤0.2cm criterion showed the highest specificity of 90.4 %. • The combined criterion could be used for a study to avoid surgery.
回顾性研究乳腺 MRI 上病变与背景实质信号增强比(SER)是否能区分新辅助化疗(NAT)后病理完全缓解(pCR)与微小残留癌,并与常规标准进行比较。
纳入 216 例接受 NAT 和 MRI 检查并在手术病理检查中达到 pCR 或微小残留癌的乳腺癌患者。分析临床病理特征、MR 图像上的 SER 和病变大小。进行多变量逻辑回归、ROC 曲线和 McNemar 检验。
早期 MR 图像上的 SER 与 pCR 独立相关(Reader 1 的优势比 [OR],0.286 [95% CI:0.113-0.725],p =.008;Reader 2 的 OR,0.306 [95% CI:0.111-0.841],p =.022)。与常规标准相比,SER≤1.6 增加 AUC(0.585-0.599 比 0.709-0.771,p =.001-.033)和特异性(21.9-27.4% 比 80.8-86.3%,p <.001)以识别 pCR。SER≤1.6 和/或大小≤0.2cm 标准显示出最高的特异性 90.4%。
早期 MR 图像上的 SER 与 pCR 独立相关,与常规标准相比,AUC 和特异性均有所提高。SER 和大小的联合标准可用于未来的研究选择避免手术的候选者。
与常规标准相比,SER≤1.6 标准增加了 AUC 和特异性。
信号强度的简单测量可以区分 pCR 与微小残留癌。
SER≤1.6 和/或大小≤0.2cm 标准显示出 90.4%的最高特异性。
联合标准可用于避免手术的研究。