Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features

机译：后续乳房超声检查中不断增长的BI-RADS 3类病变：恶性程度和令人担忧的特征

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摘要

Objective: To determine the frequency and malignancy rate among growing Breast Imaging Reporting and Data System (BI-RADS) category 3 lesions diagnosed on follow-up breast ultrasound and to evaluate the radiological and clinical features associated with malignancy.

机译：目的：确定在后续乳房超声检查中诊断出的不断增长的乳房影像报告和数据系统（BI-RADS）3类病变中的频率和恶性程度，并评估与恶性肿瘤相关的放射学和临床特征。

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期刊名称 The British Journal of Radiology
作者
Su Min Ha; Eun Young Chae; Joo Hee Cha; Hee Jung Shin; Woo Jung Choi; Hak Hee Kim;
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作者单位

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年(卷),期 2018(91),1087
年度 2018
页码 20170787
总页数 8
原文格式 PDF
正文语种
中图分类放射医学;影像诊断学;
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专利

1. Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features [J] . Ha Su Min, Chae Eun Young, Cha Joo Hee, British Journal of Radiology . 2018,第1087期

机译：在后续乳房超声波中生长Bi-Rads类别3病变：恶性率和令人担忧的功能
2. Characteristics, Malignancy Rate, and Follow-up of BI-RADS Category 3 Lesions Identified at Breast MR Imaging: Implications for MR Image Interpretation and Management [J] . Chikarmane Sona A., Birdwell Robyn L., Poole Patricia S., Radiology . 2016,第3期

机译：乳腺MR成像确定的BI-RADS第3类病变的特征，恶性率和随访：对MR图像解释和管理的意义
3. Characteristics, Malignancy Rate, and Follow-up of BI-RADS Category 3 Lesions Identified at Breast MR Imaging: Implications for MR Image Interpretation and Management [J] . Catherine S. Giess, Dorothy A. Sippo, Patricia S. Poole, Radiology . 2016,第3期

机译：乳腺MR成像确定的BI-RADS第3类病变的特征，恶性率和随访：对MR图像解释和处理的意义
4. Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: Improving patient care and compliance [C] . P Kandula, T S Cook, W W Boonn, Conference on advanced PACS-based imaging informatics and therapeutic applications . 2011

机译：自动乳房成像报告和数据系统（BI-RADS）3类后续应用：改善患者护理和依从性
5. Breast lesion classification by statistical analysis of features from gadolinium-enhanced and diffusion weighted MR images. [D] . Lucas-Quesada, Flora Anne L. 2005

机译：通过对analysis增强和弥散加权MR图像的特征进行统计分析，对乳房病变进行分类。
6. Predicting Breast Cancer in Breast Imaging Reporting and Data System (BI-RADS) Ultrasound Category 4 or 5 Lesions: A Nomogram Combining Radiomics and BI-RADS [O] . Wei-quan Luo, Qing-xiu Huang, Xiao-wen Huang, -1

机译：在乳房成像报告和数据系统（BI-RADS）超声第4或5类病变中预测乳腺癌：结合放射性组学和BI-RADS的线照相术
7. Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features [O] . Su Min Ha, Eun Young Chae, Joo Hee Cha, 2018

机译：在后续乳房超声波中生长Bi-Rads类别3病变：恶性率和令人担忧的功能

Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features

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