Clinical Trials Study
Copyright ©The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Radiol. Jun 28, 2016; 8(6): 600-609
Published online Jun 28, 2016. doi: 10.4329/wjr.v8.i6.600
Predictive model for contrast-enhanced ultrasound of the breast: Is it feasible in malignant risk assessment of breast imaging reporting and data system 4 lesions?
Jun Luo, Ji-Dong Chen, Qing Chen, Lin-Xian Yue, Guo Zhou, Cheng Lan, Yi Li, Chi-Hua Wu, Jing-Qiao Lu
Jun Luo, Ji-Dong Chen, Qing Chen, Lin-Xian Yue, Guo Zhou, Cheng Lan, Department of Ultrasound, Sichuan Provincial People’s Hospital, Chengdu 610072, Sichuan Province, China
Yi Li, Chi-Hua Wu, Department of Breast Surgery, Sichuan Provincial People’s Hospital, Chengdu 610072, Sichuan Province, China
Jing-Qiao Lu, Department of Otolaryngology, School of Medicine, Emory University, Atlanta, GA 30322, United States
Author contributions: Luo J designed research; Luo J, Chen JD, Chen Q, Yue LX, Zhou G, Lan C, Li Y, Wu CH performed research; Lu JQ analyzed data; Luo J wrote the paper.
Institutional review board statement: The study was reviewed and approved by the Institutional review board of Sichuan Provincial People’s Hospital.
Clinical trial registration statement: This registration policy applies to retrospective study only.
Informed consent statement: All study participants, or their legal guardian, provided informed written consent prior to study enrollment.
Conflict-of-interest statement: Not declared.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Ji-Dong Chen, BM, Department of Ultrasound, Sichuan Provincial People’s Hospital, No. 32 First Ring Road, Chengdu 610072, Sichuan Province, China. 13666129119@163.com
Telephone: +86-28-87394616 Fax: +86-28-87394616
Received: October 9, 2015
Peer-review started: November 6, 2015
First decision: November 29, 2015
Revised: March 1, 2016
Accepted: March 17, 2016
Article in press: March 18, 2016
Published online: June 28, 2016
Processing time: 226 Days and 0.9 Hours
Core Tip

Core tip: Many studies published show that there are some enhanced patterns such as rapid, hyper-enhancement or enlarged size after contrast may predict malignant, but none of them reliably differentiates malignant from benign nodules. We try to build 6 predictive models (3 malignant and 3 benign) using a qualitative analysis of enhancement patterns, and get diagnostic sensitivity, specificity, and accuracy of the malignant vs benign contrast-enhanced ultrasound (CEUS) models were 84.38%, 87.77%, 86.38% and 86.46%, 81.29% and 83.40%, respectively. It shows that the breast CEUS models can predict risk of malignant breast lesions more accurately, decrease false-positive biopsy, and provide accurate breast imaging reporting and data system classification.