Retrospective Study
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Feb 26, 2020; 8(4): 700-712
Published online Feb 26, 2020. doi: 10.12998/wjcc.v8.i4.700
Breast non-mass-like lesions on contrast-enhanced ultrasonography: Feature analysis, breast image reporting and data system classification assessment
Ping Xu, Min Yang, Yong Liu, Yan-Ping Li, Hong Zhang, Guang-Rui Shao
Ping Xu, School of Medicine, Shandong University, Jinan 250100, Shandong Province, China
Ping Xu, Min Yang, Yong Liu, Hong Zhang, Department of Ultrasound, Beijing Shijitan Hospital affiliated to Capital Medical University, Beijing 100038, China
Yan-Ping Li, Department of Breast Surgery, Beijing Shijitan Hospital affiliated to Capital Medical University, Beijing 100038, China
Guang-Rui Shao, Department of Radiology, The Second Hospital of Shandong University, Jinan 250100, Shandong Province, China
Author contributions: All authors helped to perform the research; Xu P and Yang M contributed equally to this paper; Xu P and Yang M contributed to manuscript writing, performing ultrasound examinations, and data analysis; Shao GR contributed to manuscript writing of the manuscript, and conception and design of the study; Liu Y and Li YP contributed to writing of the manuscript, and conception and design of the study; Zhang H contributed to performing the ultrasound examinations.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of the Beijing Shijitan Hospital Affiliated to Capital Medical University.
Informed consent statement: All patients were informed of the purpose and risk of the examination and signed informed consent prior to contrast-enhanced ultrasonography and ultrasonic guidance breast biopsy.
Conflict-of-interest statement: All authors declare no conflicts-of-interest related to this article.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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/
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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/
Corresponding author: Guang-Rui Shao, PhD, Chief Doctor, Department Director, Department of Radiology, The Second Hospital of Shandong University, No. 247 Beiyuan Street, Jinan 250100, Shandong Province, China. grshao6088@163.com
Received: November 25, 2019
Peer-review started: November 25, 2019
First decision: December 27, 2019
Revised: December 27, 2019
Accepted: January 8, 2020
Article in press: January 8, 2020
Published online: February 26, 2020
Processing time: 93 Days and 3 Hours
ARTICLE HIGHLIGHTS
Research background

The diagnosis of breast non-mass-like lesions (NMLs) by ultrasonography (US) is not satisfactory. Contrast-enhanced ultrasound (CEUS) can provide additional information for the differentiation of breast lesions. However, there are few studies about the characteristics and application of CEUS in breast NMLs.

Research motivation

Improve the diagnostic efficiency of breast NMLs by combining conventional ultrasound with CEUS.

Research objectives

To explore the CEUS features of breast NMLs, and to improve the diagnostic efficiency combined with the Breast Imaging Reporting and Data System (BI-RADS).

Research methods

A retrospective study was carried out in 51 breast NMLs. The independent risk factors of malignant NMLs were identified by binary logistics regression, with pathology as the gold standard, and the independent risk factors of CEUS were used to modify the initial BI-RADS classification of NMLs.

Research results

Malignant breast NMLs show high enhancement and enlarged range on CEUS. The diagnostic efficiency can be improved by conventional ultrasound combined with CEUS.

Research conclusions

US combined with CEUS can improve diagnostic efficiency for NMLs. CEUS combined with the BI-RADS system enables the diagnostic results to be simple and intuitive, and effectively reduces the incidence of unnecessary biopsy.

Research perspectives

Combined diagnosis of breast NMLs, and fusion with the existing BI-RADS classification system.