多模态MRI用于三阴性乳腺癌术前评估的初步研究
A pilot study of multimodal MRI for the preoperative assessment of triple-negative breast cancer.
摘要(中文译文)
评估多模态MRI（包括定量映射、扩散加权成像（DWI）和动态对比增强MRI（DCE-MRI））在鉴别三阴性乳腺癌（TNBC）与非三阴性乳腺癌中的诊断价值，并探讨显著定量映射参数与Ki-67增殖指数之间的相关性。本前瞻性研究纳入120例浸润性乳腺癌患者（30例TNBC和90例非TNBC），均于术前接受定量映射、DWI和DCE-MRI检查。比较两组间的DCE-MRI参数（RE、ME、MRE、T0、TTP、WI、WO、BOE）、DWI指标（ADCmin、ADCmean、rADCmin、rADCmean）及定量映射参数（Native T1、Enhanced T1、ΔT1、ΔT1%、T2）。采用受试者工作特征（ROC）分析和曲线下面积（AUC）评估各显著单一参数及联合预测模型的诊断效能。采用Pearson相关系数分析定量映射参数与Ki-67指数之间的关系。与非TNBC组相比，TNBC病灶的RE、ME、WI、WO和ΔT1%显著较低（< 0.05），而Enhanced T1和T2值较高（< 0.05）。整合DCE-MRI与定量映射的联合模型取得了最高的诊断准确度（AUC = 0.977），优于单独使用DCE-MRI（AUC = 0.951）和单独使用定量映射（AUC = 0.864），灵敏度和特异度分别为93.3%和92.2%。在TNBC中，Ki-67指数与Enhanced T1（r = 0.387，< 0.05）和T2（r = 0.381，< 0.05）呈弱正相关。RE、ME、WI、WO、Enhanced T1、ΔT1%和T2等参数可作为术前识别TNBC的有价值影像生物标志物。将定量映射与DCE-MRI整合可显著提高诊断效能，为鉴别TNBC与非TNBC亚型提供了一种稳健的方法。
Abstract
To evaluate the diagnostic value of multimodal MRI by comprising quantitative mapping, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced MRI (DCE-MRI) in differentiating triple-negative breast cancer (TNBC) from non-TNBC, and to investigate the correlation between significant quantitative mapping parameters and the Ki-67 proliferation index. This prospective study enrolled 120 patients with invasive breast cancer (30 TNBC and 90 non-TNBC) who underwent preoperative quantitative mapping, DWI, and DCE-MRI. DCE-MRI parameters (RE, ME, MRE, T0, TTP, WI, WO, BOE), DWI metrics (ADCmin, ADCmean, rADCmin, rADCmean), and quantitative mapping parameters (Native T1, Enhanced T1, ΔT1, ΔT1%, T2) were compared between groups. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis and area under the curve (AUC) for both individual significant parameters and a combined predictive model. Pearson' s correlation coefficient was used to analyze the relationship between quantitative mapping parameters and the Ki-67 index. Compared to the non-TNBC group, TNBC lesions exhibited significantly lower RE, ME, WI, WO, and ΔT1% ( < 0.05), but higher Enhanced T1 and T2 values ( < 0.05). The combined model integrating DCE-MRI and quantitative mapping achieved the highest diagnostic accuracy (AUC = 0.977), outperforming DCE-MRI alone (AUC = 0.951) and quantitative mapping alone (AUC = 0.864), with sensitivity and specificity of 93.3% and 92.2%, respectively. In TNBC, the Ki-67 index showed a weak positive correlation with Enhanced T1 (r = 0.387, < 0.05) and T2 (r = 0.381, < 0.05). Parameters including RE, ME, WI, WO, Enhanced T1, ΔT1%, and T2 serve as valuable imaging biomarkers for the preoperative identification of TNBC. Integrating quantitative mapping with DCE-MRI significantly enhances diagnostic performance, offering a robust approach for differentiating TNBC from non-TNBC subtypes.
如何引用
AMA
Shan Luo, Rong Lin, Hui Lin, Zejuan Zhan, Xiaomin Wu, Langlang Tang, et al. A pilot study of multimodal MRI for the preoperative assessment of triple-negative breast cancer.. Frontiers in oncology. 2026; doi:10.3389/fonc.2026.1714620.
APA
Shan Luo, Rong Lin, Hui Lin, Zejuan Zhan, Xiaomin Wu, Langlang Tang, et al (2026). A pilot study of multimodal MRI for the preoperative assessment of triple-negative breast cancer.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1714620
GB/T 7714
Shan Luo, Rong Lin, Hui Lin, Zejuan Zhan, Xiaomin Wu, Langlang Tang, et al. A pilot study of multimodal MRI for the preoperative assessment of triple-negative breast cancer.[J]. Frontiers in oncology, 2026 doi:10.3389/fonc.2026.1714620.
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