|Table of Contents|

Research on the effect of ultrasound shear wave elastography on classification of BI-RADS 4 breast masses

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2020 06
Page:
1001-1004
Research Field:
Publishing date:

Info

Title:
Research on the effect of ultrasound shear wave elastography on classification of BI-RADS 4 breast masses
Author(s):
Wang Hua; Sun Lei; Li Xiaopeng; Wei Zhanli; Yang Xiaoxue; Jiang Jue; Zhou Qi
Department of Ultrosound,the Second Affiliated Hospital of Xi'an Jiaotong University,Shaanxi Xi'an 710004,China.
Keywords:
SWE; breast imaging reporting; data system
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2020.06.028
Abstract:
Objective：To investigate the effect of shear wave elastography (SWE) on the classification of BI-RADS 4 breast masses.Methods:A total of 139 patients with 157 BI-RADS 4 breast masses treated in the hospital from September 2017 to March 2019 were enrolled in the study.All of the lesions were examined by SWE before operation or biopsy.With pathological results as the golden standard,the sensitivity,specificity and accuracy of conventional ultrasound and SWE in diagnosis of breast masses were evaluated.Results：73 breast masses were classified into BI-RADS 4a.35 breast masses were classified into BI-RADS 4b and 49 lesions were diagnosed as BI-RADS 4c.The sensitivity,specificity and accuracy of conventional ultrasound for diagnosis of breast lesions were 86.1%,74.1% and 76.9%,respectively.The cut-off value of Emax was 94.15 kPa,which was the basis for the diagnosis of benign and malignant breast masses.The sensitivity,specificity and accuracy of after adjustment of Emax optimized BI-RADS classification for the diagnosis of breast lesions were 87.5%,90.6% and 90.4%.Conclusion：According to lesion stiffness,shear wave elastography has certain clinical value,which corrects the classification of BI-RADS 4 breast masses on the basis of conventional ultrasound,reduces the misdiagnosis rates and improves the accuracy of diagnosis.

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Memo

Memo:
陕西省重点研发项目(编号：2019SF-186)
Last Update: 2020-01-21