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Can Ultrasound Elastography Help Better Manage Mammographic BI-RADS Category 4 Breast Lesions?
Gu, Yang; Tian, Jiawei; Ran, Haitao; Ren, Weidong; Chang, Cai; Yuan, Jianjun; Kang, Chunsong; Deng, Youbin; Wang, Hui; Luo, Baoming; Guo, Shenglan; Zhou, Qi; Xue, Ensheng; Zhan, Weiwei; Zhou, Qing; Li, Jie; Zhou, Ping; Zhang, Chunquan; Chen, Man; Gu, Ying; Xu, Jinfeng; Chen, Wu; Zhang, Yuhong; Li, Jianchu; Wang, Hongyan; Jiang, Yuxin.
Afiliación
  • Gu Y; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Tian J; Department of Ultrasound, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
  • Ran H; Department of Ultrasound, the Second Affiliated Hospital of Chongqing Medical University & Chongqing Key Laboratory of Ultrasound Molecular Imaging, Chongqing, China.
  • Ren W; Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, China.
  • Chang C; Department of Medical Ultrasound, Fudan University Shanghai Cancer Center & Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Yuan J; Department of Ultrasonography, Henan Provincial People's Hospital, Zhengzhou, China.
  • Kang C; Department of Ultrasound, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China.
  • Deng Y; Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
  • Wang H; Department of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Luo B; Department of Ultrasound, the Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Guo S; Department of Ultrasonography, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Zhou Q; Department of Medical Ultrasound, the Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, China.
  • Xue E; Department of Ultrasound, Union Hospital of Fujian Medical University, Fujian Institute of Ultrasound Medicine, Fuzhou, China.
  • Zhan W; Department of Ultrasound, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China.
  • Zhou Q; Department of Ultrasonography, Renmin Hospital of Wuhan University, Wuhan, China.
  • Li J; Department of Ultrasound, Qilu Hospital, Shandong University, Jinan, China.
  • Zhou P; Department of Ultrasound, the Third Xiangya Hospital of Central South University, Changsha, China.
  • Zhang C; Department of Ultrasound, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Chen M; Department of Ultrasound Medicine, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Gu Y; Department of Ultrasonography, the Affiliated Hospital of Guizhou Medical University, Guiyang, China.
  • Xu J; Department of Ultrasound, Shenzhen People's Hospital, the Second Clinical Medical College of Jinan University, Shenzhen, China.
  • Chen W; Department of Ultrasound, the First Hospital of Shanxi Medical University, Taiyuan, China.
  • Zhang Y; Department of Ultrasound, the Second Hospital of Dalian Medical University, Dalian, China.
  • Li J; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wang H; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: whychina@126.com.
  • Jiang Y; Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: jiangyuxinxh@163.com.
Clin Breast Cancer ; 22(4): e407-e416, 2022 06.
Article en En | MEDLINE | ID: mdl-34815174
BACKGROUND: To assess the performance of conventional ultrasound (US) combined with strain elastography (SE) in the Breast Imaging Reporting and Data System (BI-RADS) category 4 lesions on mammography. MATERIALS AND METHODS: Women with breast lesions identified as having mammography BI-RADS 4 lesions and underwent US examination were included in China. US features and US BI-RADS assessment were recorded in real-time and prospectively reported. The pathological result was referred to as the gold standard. The performance of US in the mammographic BI-RADS category 4 lesions was evaluated. Diagnostic performances of US BI-RADS, SE and combined both were compared. RESULTS: A total of 751 women with 751 breast lesions classified as mammographic BI-RADS category 4 were included. For mammographic findings, 530 (70.6%) were true positive and 221 (29.4%) were false positive. Conventional US achieved higher positive predictive value (PPV) than mammography (78.5% vs. 70.6%, P=.001). The specificity increased from 34.4% to 47.1% (P< .001) without any loss in sensitivity and the PPV increased to 81.9% (P = .122) when conventional US was used in combination with SE. For conventional US combined with SE, it led to a correct diagnosis of no breast cancer in 104 of the 221 false-positive findings (47.1%) and achieved higher PPV than mammography regardless of patient age and lesion size. CONCLUSION: Conventional US combined with SE is a helpful tool for the noninvasive examination of breast lesions classified as BI-RADS category 4 on mammography. It helped increase the PPV and had the potential to avoid unnecessary biopsies of BI-RADS category 4 lesions detected on mammography.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Clin Breast Cancer Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Diagnóstico por Imagen de Elasticidad Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans Idioma: En Revista: Clin Breast Cancer Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: China