The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
01 2022
Historique:
received: 13 05 2020
revised: 17 06 2020
accepted: 24 06 2020
pubmed: 10 8 2020
medline: 11 3 2022
entrez: 10 8 2020
Statut: ppublish

Résumé

The objective of this study was to evaluate the utility of the fifth edition of the Breast Imaging-Reporting and Data System (BI-RADS) in clinical breast radiology by using prospective multicenter real-time analyses of ultrasound (US) images. We prospectively studied 2049 female patients (age range, 19-86 years; mean age 46.88 years) with BI-RADS category 4 breast masses in 32 tertiary hospitals. All the patients underwent B-mode, color Doppler US, and US elastography examination. US features of the mass and associated features were described and categorized according to the fifth edition of the BI-RADS US lexicon. The pathological results were used as the reference standard. The positive predictive values (PPVs) of subcategories 4a-4c were calculated. A total of 2094 masses were obtained, including 1124 benign masses (54.9%) and 925 malignant masses (45.1%). For BI-RADS US features of mass shape, orientation, margin, posterior features, calcifications, architectural distortion, edema, skin changes, vascularity, and elasticity assessment were significantly different for benign and malignant masses (p< 0.05). Typical signs of malignancy were irregular shape (PPV, 57.2%), spiculated margin (PPV, 83.7%), nonparallel orientation (PPV, 63.9%), and combined pattern of posterior features (PPV, 60.6%). For the changed or newly added US features, the PPVs for intraductal calcifications were 80%, 56.4% for internal vascularity, and 80% for a hard pattern on elastography. The associated features such as architectural distortion (PPV, 89.3%), edema (PPV, 69.2%), and skin changes (PPV, 76.2%) displayed high predictive value for malignancy. The rate of malignant was 7.4% (72/975) in category 4a, 61.4% (283/461) in category 4b, and 93.0% (570/613) in category 4c. The PPV for category 4b was higher than the likelihood ranges specified in BI-RADS and the PPVs for categories 4a and 4c were within the acceptable performance ranges specified in the fifth edition of BI-RADS in our study. Not only the US features of the breast mass, but also associated features, including vascularity and elasticity assessment, have become an indispensable part of the fifth edition of BI-RADS US lexicon to distinguish benign and malignant breast lesions. The subdivision of category 4 lesions into categories 4a, 4b, and 4c for US findings is helpful for further assessment of the likelihood of malignancy of breast lesions.

Identifiants

pubmed: 32768352
pii: S1076-6332(20)30405-0
doi: 10.1016/j.acra.2020.06.027
pii:
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

S26-S34

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Yang Gu (Y)

Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China.

Jia-Wei Tian (JW)

Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Hai-Tao Ran (HT)

Department of Ultrasound, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Ultrasound Molecular Imaging, Chongqing, China.

Wei-Dong Ren (WD)

Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.

Cai Chang (C)

Department of Medical Ultrasound, Fudan University Shanghai Cancer Center & Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.

Jian-Jun Yuan (JJ)

Department of Ultrasonography, Henan Provincial People's Hospital, Zhengzhou, China.

Chun-Song Kang (CS)

Department of Ultrasound, Shanxi Academy of Medical Science, Dayi Hospital of Shanxi Medical University, Taiyuan, China.

You-Bin Deng (YB)

Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.

Hui Wang (H)

Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China.

Bao-Ming Luo (BM)

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

Sheng-Lan Guo (SL)

Department of Ultrasonography, First Affiliated Hospital of Guangxi Medical University, Nanning, China.

Qi Zhou (Q)

Department of Medical Ultrasound, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China.

En-Sheng Xue (ES)

Department of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou, China.

Wei-Wei Zhan (WW)

Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China.

Qing Zhou (Q)

Department of Ultrasonography, Renmin Hospital of Wuhan University, Wuhan, China.

Jie Li (J)

Department of Ultrasound, Qilu Hospital, Shandong University, Jinan, China.

Ping Zhou (P)

Department of Ultrasound, The Third Xiangya Hospital of Central South University, Changsha, China.

Chun-Quan Zhang (CQ)

Department of Ultrasound, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.

Man Chen (M)

Department of Ultrasound Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Ying Gu (Y)

Department of Ultrasonography, The Affiliated Hospital of Guizhou Medical University, Guiyang, China.

Jin-Feng Xu (JF)

Department of Ultrasound, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, Shenzhen, China.

Wu Chen (W)

Department of Ultrasound, The First Hospital of Shanxi Medical University, Taiyuan, China.

Yu-Hong Zhang (YH)

Department of Ultrasound, The Second Hospital of Dalian Medical University, Dalian, China.

Hong-Qiao Wang (HQ)

Department of Ultrasound, The Affiliated Hospital of Qingdao University, Qingdao, China.

Jian-Chu Li (JC)

Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China.

Hong-Yan Wang (HY)

Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China. Electronic address: whychina@126.com.

Yu-Xin Jiang (YX)

Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing 100730, China.

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