High-field MR spectroscopy in the multiparametric MRI evaluation of breast lesions
High-field MR spectroscopy in the multiparametric MRI evaluation of breast lesions
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DOI：
10.1016/j.ejmp.2016.09.008
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发表时间：
2016-12-01
影响因子：
3.4
通讯作者：
Montemezzi, Stefania
中科院分区：
文献类型：
--
作者：
Cavedon, Carlo;Meliado, Gabriele;Montemezzi, Stefania
简介：这项工作的目的是评估的作用，3 T-MR波谱（MRS）在多参数MRI评价乳腺病变，使用模式识别为基础的classification method.Methods：291例患者（301病变，中位数2.3厘米（3））参加了这项研究（年龄18-85岁，平均54.2岁）。通过3 T扫描仪进行T1-TSE（TR/TE = 400/10 ms）和T2-STIR成像（TR/TE = 5000/60 ms）、动态对比增强MRI（DCE-MRI）、表观扩散系数（ADC）（B = 0-800 s/mm（2））和单体素MRS（10 x 10 x 10 mm（3），PRESS，TR/TE = 3000 ms/135 ms）。如果水峰的FWHM = 2，则MRS结果可接受。使用4维向量（包括边缘类型、DCE-MRI动力学曲线类型、ADC平均值和tCho SNR）进行基于分类器的分析（支持向量机，SVM）。与三维向量（无tCho SNR）的比较被用来评估MRS的敏感性，特异性和阳性-阴性预测值（PPV-NPV）malignancy.Results的影响：228病变（180恶性/48良性）表现出可接受的频谱质量。分类结果与手术标本的组织病理学检查的比较显示，敏感性= 93.7%，特异性= 84.9%，PPV = 95.2%，NPV = 81.5%，不包括MRS的SVM分析。当MRS被包括在内，数字增加到95.1%，90.7%，97.2%，和85.0%，respectively.Conclusions：列入3 T-MRS的多参数MRI评价乳腺病变的性能提高了基于SVM的分类，显示高场MR波谱在良性和恶性乳腺病变之间的鉴别诊断中可能发挥的作用。然而，需要进一步的研究来证实这一初步证据。(C)2016年意大利医学协会。由爱思唯尔有限公司出版。保留所有权利。
Introduction: The aim of this work was to assess the role of 3T-MR spectroscopy (MRS) in the multi-parametric MRI evaluation of breast lesions, using a pattern-recognition based classification method.Methods: 291 patients (301 lesions, median 2.3 cm(3)) were enrolled in the study (age 18-85 y, mean 54.2 y). T1-TSE (TR/TE = 400/10 ms) and T2-STIR imaging (TR/TE = 5000/60 ms), dynamic-contrast-enhanced MRI (DCE-MRI), apparent diffusion coefficient (ADC) (b = 0-800 s/mm(2)), and single-voxel MRS (10 x 10 x 10 mm(3), PRESS, TR/TE = 3000 ms/135 ms) were performed by means of a 3T scanner. MRS results were accepted if the FWHM of the water peak was = 2. A classifier-based analysis (support-vector-machines, SVM) was performed with 4-dimensional vectors including type of margin, DCE-MRI kinetic curve type, ADC mean value, and tCho SNR. A comparison with 3-dimensional vectors (without tCho SNR) was used to assess MRS impact on sensitivity, specificity, and positive-negative predictive values (PPV-NPV) for malignancy.Results: 228 lesions (180 malignant/48 benign) showed acceptable spectral quality. Comparison of classification results with histopathological examination of surgical specimens showed sensitivity = 93.7%, specificity = 84.9%, PPV = 95.2%, NPV = 81.5% without the inclusion of MRS in the SVM analysis. When MRS was included, the figures increased to 95.1%, 90.7%, 97.2%, and 85.0%, respectively.Conclusions: Inclusion of 3T-MRS in the multi-parametric MRI evaluation of breast lesions improved the performance of the SVM-based classifier, showing a possible role of high-field MR spectroscopy in the differential diagnosis between benign and malignant breast lesions. Further research is however needed to confirm this initial evidence. (C) 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.