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Can combined screening of ultrasound and elastography improve breast cancer identification compared with MRI in women with dense breasts-a multicenter prospective study

  • Lu Ying Gao
  • , Yang Gu
  • , Wen Xu
  • , Jia Wei Tian
  • , Li Xue Yin
  • , Hai Tao Ran
  • , Wei Dong Ren
  • , Yu Ming Mu
  • , Jie Ying Zhang
  • , Cai Chang
  • , Jian Jun Yuan
  • , Chun Song Kang
  • , You Bin Deng
  • , Hui Wang
  • , Xiao Yan Xie
  • , Bao Ming Luo
  • , Sheng Lan Guo
  • , Qi Zhou
  • , En Sheng Xue
  • , Wei Wei Zhan
  • Tong Jiao, Qing Zhou, Jie Li, Ping Zhou, Pin Tong Huang, Hong Yuan Xue, Chun Quan Zhang, Man Chen, Xiang Xiang Jing, Ying Gu, Jian Feng Guo, Hong Yu Ding, Jin Feng Xu, Wu Chen, Li Liu, Yu Hong Zhang, Hong Qiao Wang, Zhong Ping Mu, Jian Chu Li, Hong Yan Wang, Yu Xin Jiang
  • Chinese Academy of Medical Sciences
  • The Second Affiliated Hospital of Harbin Medical University
  • Sichuan Provincial People's Hospital
  • The Second Affiliated Hospital of Chongqing Medical University
  • Chongqing Key Laboratory of Ultrasound Molecular Imaging
  • China Medical University
  • Xinjiang Medical University
  • Fudan University
  • Henan Provincial People's Hospital
  • Shanxi Medical University
  • Huazhong University of Science and Technology
  • Jilin University
  • First Affiliated Hospital of Sun Yat sen University
  • Sun Yat-Sen University
  • The First Affiliated Hospital of Guangxi Medical University
  • Fujian Medical University
  • Shanghai Jiao Tong University
  • Tianjin Union Medicine Hospital
  • Renmin Hospital of Wuhan University
  • Qilu Hospital of Shandong University
  • Central South University
  • The Second Affiliated Hospital of Zhejiang University School of Medicine
  • Hebei General Hospital
  • Nanchang University
  • People's Hospital of Hainan Province
  • Guizhou Medical University
  • Nanjing Medical University
  • Shandong First Medical University & Shandong Academy of Medical Sciences
  • Shenzhen People's Hospital
  • Peking University
  • Dalian Medical University
  • Qingdao University
  • Maternal and Child Health Care Hospital Affiliated to Medical University of Anhui

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Objectives: To assess the performance of elastography (ES) and ultrasound (US) in predicting the malignancy of breast lesions and to compare their combined diagnostic value with that of magnetic resonance imaging (MRI). Materials and Methods: The study prospectively enrolled 242 female patients with dense breasts treated in 35 heath care facilities in China between November 2018 and October 2019. Based on conventional US and elastography, radiologists classified the degree of suspicion of breast lesions according to the US Breast Imaging Reporting and Data System (BI-RADS) criteria. The diagnostic value was compared between US BI-RADS and MRI BI-RADS, with pathological results used as the reference standard. Results: The results demonstrated that irregular tumor shape, a nonparallel growth orientation, indistinct margins, angular contours, microcalcifications, color Doppler flow and ES score on US imaging were significantly related to breast cancer in dense breasts (P=0.001; P=0.001; P=0.008; P<0.001; P=0.019; P=0.008; P=0.002, respectively). The sensitivity, specificity, PPV, NPV, accuracy and AUC of US BI-RADS category were 94.7%, 90.7%, 95.8%, 88.0%, 93.4% and 0.93 (95%CI, 0.88-0.97), respectively, while those of MRI BI-RADS category were 98.2%, 57.5%, 84.3%, 83.3%, 86.0% and 0.78 (95%CI, 0.71-0.85), respectively. MRI BI-RADS showed a significantly higher sensitivity than US BI-RADS (98.2% vs 94.7%, P=0.043), whereas US BI-RADS showed significantly higher specificity (90.7% vs 57.5%, P<0.001). US BI-RADS showed better diagnostic efficiency in differentiating nodules in dense breasts than MRI BI-RADS (AUC 0.93 vs 0.78, P<0.001). Conclusion: By combining the use of ES and conventional US, US BI-RADS had better diagnostic efficiency in differentiating nodules in dense breasts than MRI. For the diagnosis of malignant tumors in patients with dense breasts, MRI and US BI-RADS can be used as supplemental diagnostic tools to detect lesions, with US BI-RADS considered the preferred adjunctive resource.

Original languageEnglish
Pages (from-to)3903-3909
Number of pages7
JournalJournal of Cancer
Volume11
Issue number13
DOIs
StatePublished - 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast Imaging Reporting and Data System (BI-RADS)
  • Breast cancer
  • Dense breast
  • Elastography
  • Magnetic resonance imaging (MRI)
  • Ultrasound (US)

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