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超声检查发现的非肿块性乳腺病变:特征探索与多模态超声诊断

Non-Mass Breast Lesions on Ultrasound: Feature Exploration and Multimode Ultrasonic Diagnosis.

作者信息

Zhang Wenyue, Xiao Xiaoyun, Xu Xiaolin, Liang Ming, Wu Huan, Ruan Jingliang, Luo Baoming

机构信息

Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.

Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

出版信息

Ultrasound Med Biol. 2018 Aug;44(8):1703-1711. doi: 10.1016/j.ultrasmedbio.2018.05.005. Epub 2018 May 31.

Abstract

The aim of this study was to analyze the features of non-mass breast lesions (NMLs) on B-mode ultrasound (US), color Doppler US, strain elastography (SE) and contrast-enhanced ultrasound (CEUS) and to develop a multimode ultrasonic method for NML differentiation. Seventy-one NMLs were included in this retrospective study. Binary logistic regression was used to identify the independent risk factors. Pathology results were used as the standard criterion. Microcalcification on US, high stiffness on SE and hyper-enhanced intensity on CEUS were identified as features correlated with malignancy. A multimode method to evaluate NMLs based on the logistic regression was developed. The sensitivity and specificity for US, US + Doppler, US + SE, US + CEUS and the multimode method were 100% and 29%, 92.5% and 41.9%, 97.5% and 58.1%, 90.0% and 58.1% and 95.0% and 77.4%, respectively. The accuracy of these methods was 69.0%, 70.4%, 80.2%, 76.1% and 87.3%, respectively. The multimode ultrasonic method is simple and exhibited high diagnostic performance, which might be helpful for predicting the potential malignancy of NMLs.

摘要

本研究旨在分析非肿块性乳腺病变(NMLs)在B型超声(US)、彩色多普勒超声、应变弹性成像(SE)和超声造影(CEUS)上的特征,并开发一种用于NMLs鉴别的多模态超声方法。本回顾性研究纳入了71例NMLs。采用二元逻辑回归确定独立危险因素。病理结果用作标准评判标准。超声上的微钙化、SE上的高硬度和CEUS上的高增强强度被确定为与恶性肿瘤相关的特征。基于逻辑回归开发了一种评估NMLs的多模态方法。US、US + 多普勒、US + SE、US + CEUS和多模态方法的敏感性和特异性分别为100%和29%、92.5%和41.9%、97.5%和58.1%、90.0%和58.1%以及95.0%和77.4%。这些方法的准确率分别为69.0%、70.4%、80.2%、76.1%和87.3%。多模态超声方法简单且具有较高的诊断性能,这可能有助于预测NMLs的潜在恶性程度。

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