结合瘤内和瘤周多模态磁共振成像（MRI）预测人表皮生长因子受体-2 （HER-2）在乳腺癌中的表达水平。

IF 1.9 3区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Clinical radiology Pub Date : 2025-07-12 DOI:10.1016/j.crad.2025.107019

Wen Feng , Mengmeng Qu , Yuhui Xiong , Kun Ji , Wencheng Dang , Zihan Wang , Junqiang Lei

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引用次数: 0

摘要

目的：人表皮生长因子受体-2 （HER-2）是一种与乳腺癌（BC）发展和预后相关的原癌基因。本研究探讨了肿瘤内和肿瘤周围多模态磁共振成像（MRI）对BC中HER-2表达水平的预测价值。材料与方法：回顾性研究82例术前MRI及术后病理HER-2表达评估患者，分为阴性组（n = 57）和阳性组（n = 25）。使用3.0T场强进行MRI，涉及的序列包括水和脂肪的回声不对称迭代分解和最小二乘估计量化（IDEAL-IQ），多路灵敏度编码体内非相干运动（MUSE-IVIM）和磁共振图像并发症（MAGIC）。评估重点是瘤内和瘤周参数，如脂肪分数（FF）、松弛率（R2 *）、组织扩散率（Dt）、伪扩散率（Dp）、灌注分数(f)、表观扩散系数（ADC）、T1 （-/+C）、T2 （-/+C）和质子密度（PD, -/+C），以增强两组之间的分化。统计分析包括Kolmogorov-Smirnov、Student’st检验和Mann-Whitney u检验，以及logistic回归和受试者工作特征曲线（AUC）用于诊断性能评估。结果：HER-2阳性组与阴性组间FF-R1、R2 * -R1、MUSE-Dt-R1、MUSE-Dt-R2、MUSE-Dp-R2、MUSE-ADC-R2、T1-R2、T1+C-R1、T1+C-R2、T1+C-R3、sub-T1-R2均有显著差异。ROC分析显示，联合模型（AUC = 0.822, P < 0.001, 95% CI = 0.730, 0.913）预测HER-2在BC中的表达比其他模型具有更高的诊断效能。结论：基于术前乳腺MRI的肿瘤内和肿瘤周围的多模态MRI参数显示了对BC中HER-2状态的无创评估的潜力。

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Combining intratumoral and peritumoral multimodality magnetic resonance imaging (MRI) to predict the expression level of human epidermal growth factor receptor-2 (HER-2) in breast cancer

Aim

Human epidermal growth factor receptor-2 (HER-2), a proto-oncogene associated with breast cancer (BC) development and prognosis. This study investigated the predictive value of intratumoural and peritumoural multimodal magnetic resonance imaging (MRI) for HER-2 expression levels in BC.

Materials and methods

This retrospective study involved 82 patients with preoperative MRI and postoperative pathological evaluation for HER-2 expression, divided into negative (n = 57) and positive groups (n = 25). MRI was conducted using a 3.0T field strength and involved sequences including iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification (IDEAL-IQ), multiplexed sensitivity encoding intravoxel incoherent motion (MUSE-IVIM), and magnetic resonance image complication (MAGIC). Assessment focused on intratumoural and peritumoural parameters such as fat fraction (FF), relaxation rate (R2∗), tissue diffusivity (Dt), pseudo-diffusivity (Dp), perfusion fraction (f), apparent diffusion coefficient (ADC), T1 (-/+C), T2 (-/+C), and proton density (PD, -/+C) to enhance differentiation between two groups. Statistical analyses included the Kolmogorov-Smirnov, Student's t-test, and Mann-Whitney U-test, along with logistic regression and receiver operating characteristic curves (AUC) for diagnostic performance evaluation.

Results

There were significant differences in FF-R1, R2∗-R1, MUSE-Dt-R1, MUSE-Dt-R2, MUSE-Dp-R2, MUSE-ADC-R2, T1-R2, T1+C-R1, T1+C-R2, T1+C-R3, and sub-T1-R2 between the HER-2 positive and negative group. The ROC analysis showed that the combined model (AUC = 0.822, P < 0.001, 95% CI = 0.730, 0.913) had higher diagnostic performance for predicting HER-2 expression in BC than other models.

Conclusion

Intratumoural and peritumoural multimodal MRI parameters based on preoperative breast MRI showed potential for the noninvasive evaluation of HER-2 status in BC.

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来源期刊

Clinical radiology 医学-核医学

CiteScore

4.70

自引率

3.80%

发文量

528

审稿时长

76 days

期刊介绍： Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including: • Computed tomography • Magnetic resonance imaging • Ultrasonography • Digital radiology • Interventional radiology • Radiography • Nuclear medicine Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.