Literature DB >> 30515679

Combination of different types of elastography in downgrading ultrasound Breast Imaging-Reporting and Data System category 4a breast lesions.

Xueyi Zheng1, Yini Huang1, Yun Wang1, Yubo Liu1, Fei Li1, Jing Han1, Jianwei Wang1, Longhui Cao2, Jianhua Zhou3.   

Abstract

OBJECTIVES: To determine whether a combination of different types of elastography could improve the accuracy of elastography-aided downgrading ultrasound (US) Breast Imaging-Reporting and Data System (BI-RADS) category 4a lesions.
MATERIALS AND METHODS: From January 2016 to May 2018, 458 consecutive women with 494 US BI-RADS category 4a breast lesions were enrolled in the prospective study. These lesions were subject to conventional US supplemented with strain elastography of elasticity imaging (EI), virtual touch tissue imaging (VTI), and shear wave elastography of virtual touch imaging quantification (VTIQ). Diagnostic performances were calculated for BI-RADS, EI, VTI, and VTIQ as well as the combination of EI, VTI, and VTIQ (combination of EI and VTI [EI + VTI], combination of EI and VTIQ [EI + VTIQ], and combination of VTI and VTIQ [VTI + VTIQ]).
RESULTS: Pathologically, 445 lesions (90.1%) were benign, and 49 (9.9%) were malignant. The specificities of EI, VTI, and VTIQ were significantly higher than those of BI-RADS (69.9%, 83.8%, 75.5% vs. 0, respectively, P < 0.001), while their sensitivities were significantly lower than those of BI-RADS (83.7%, 73.5%, 65.3% vs. 100%, respectively, P < 0.05). Among the combinations, EI + VTI and EI + VTIQ showed similar sensitivity to BI-RADS (98% vs 100%, P = 1.000; 93.9% vs 100%, P = 0.25), while the specificity of EI + VTI was significantly higher than that of EI + VTIQ and BI-RADS (P < 0.001). When using EI + VTI to downgrade lesions, 58.7% of these lesions were downgraded, among those 99.7% were benign.
CONCLUSIONS: Combinations of EI and VTI to downgrade BI-RADS category 4a lesions may reduce the misdiagnosis of breast cancers and the number of unnecessary biopsies.

Entities:  

Keywords:  Breast Neoplasms; Elasticity imaging techniques; Sensitivity; Specificity; Ultrasonography

Mesh:

Year:  2018        PMID: 30515679     DOI: 10.1007/s10549-018-05072-0

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  5 in total

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Authors:  Wendie A Berg
Journal:  J Breast Imaging       Date:  2021-08-15

2.  Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer.

Authors:  Xueyi Zheng; Yini Huang; Yubo Liu; Yun Wang; Rushuang Mao; Fei Li; Longhui Cao; Jianhua Zhou
Journal:  Korean J Radiol       Date:  2020-02       Impact factor: 3.500

3.  Superb Microvascular Imaging Technology Can Improve the Diagnostic Efficiency of the BI-RADS System.

Authors:  Siman Cai; Hongyan Wang; Xiaoyan Zhang; Li Zhang; Qingli Zhu; Qiang Sun; Jianchu Li; Yuxin Jiang
Journal:  Front Oncol       Date:  2021-06-24       Impact factor: 6.244

4.  Annual Trends in Ultrasonography-Guided 14-Gauge Core Needle Biopsy for Breast Lesions.

Authors:  Inha Jung; Kyunghwa Han; Min Jung Kim; Hee Jung Moon; Jung Hyun Yoon; Vivian Youngjean Park; Eun Kyung Kim
Journal:  Korean J Radiol       Date:  2020-03       Impact factor: 3.500

5.  The Vascular Index of Superb Microvascular Imaging Can Improve the Diagnostic Accuracy for Breast Imaging Reporting and Data System Category 4 Breast Lesions.

Authors:  Si-Man Cai; Hong-Yan Wang; Xiao-Yan Zhang; Li Zhang; Qing-Li Zhu; Jian-Chu Li; Qiang Sun; Yu-Xin Jiang
Journal:  Cancer Manag Res       Date:  2020-03-11       Impact factor: 3.989

  5 in total

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