Luo J, Chen JD, Chen Q, Yue LX, Zhou G, Lan C, Li Y, Wu CH, Lu JQ. 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? World J Radiol 2016; 8(6): 600-609 [PMID: 27358688 DOI: 10.4329/wjr.v8.i6.600]
Corresponding Author of This Article
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
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Clinical Trials Study
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Luo J, Chen JD, Chen Q, Yue LX, Zhou G, Lan C, Li Y, Wu CH, Lu JQ. 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? World J Radiol 2016; 8(6): 600-609 [PMID: 27358688 DOI: 10.4329/wjr.v8.i6.600]
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.
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.
