Literature DB >> 28844465

B-Mode Ultrasound Combined with Color Doppler and Strain Elastography in the Diagnosis of Non-mass Breast Lesions: A Prospective Study.

Lujing Li1, Xinchuan Zhou2, Xinbao Zhao2, Shaoyun Hao2, Jiyi Yao2, Wenjing Zhong2, Hui Zhi3.   

Abstract

Non-mass breast lesions on ultrasound (US) are areas without an associated mass. The purpose of this study was to evaluate whether combining B-mode US with color Doppler US and strain elastography (SE) improves US differentiation between benign and malignant non-mass breast lesions and the decision for biopsy. In this prospective study, three different radiologists analyzed the US images of 77 non-mass lesions independently and recorded Breast Imaging Reporting and Data System (BI-RADS) categories for four data sets. The image characteristics and BI-RADS categories of the four data sets were analyzed by another radiologist. The final diagnosis was made on the basis of pathologic findings. Values for area under the receiver operating curve (AUC), sensitivity, specificity and accuracy were compared among the data sets. The AUC of B-mode US combined with both color Doppler US and SE was greater than that of B-mode US alone (0.666 vs. 0.828) (p = 0.011). The specificity of making the decision for biopsy increased from 6.5% to 38.7% when B-mode US was combined with color Doppler and SE, without a statistically significant change in sensitivity (p < 0.001). Combined use of color Doppler and SE could improve the diagnostic value of B-mode US in distinguishing benign from malignant non-mass breast lesions and the specificity of making the decision for biopsy of non-mass breast lesions.
Copyright © 2017 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  B-mode ultrasound; Breast Imaging Reporting and Data System; Color Doppler ultrasound; Non-mass breast lesions; Strain elastography

Mesh:

Year:  2017        PMID: 28844465     DOI: 10.1016/j.ultrasmedbio.2017.07.014

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  7 in total

1.  Can shear wave elastography be utilized as an additional tool for the assessment of non-mass breast lesions?

Authors:  Sepideh Sefidbakht; Sara Haseli; Neda Khalili; Vahid Bazojoo; Pedram Keshavarz; Banafsheh Zeinali-Rafsanjani
Journal:  Ultrasound       Date:  2021-03-17

2.  Ultrasonographic features of ductal carcinoma in situ: analysis of 219 lesions.

Authors:  Jun Kang Li; Huan Fan Wang; Yan He; Yong Huang; Gang Liu; Zhi Li Wang
Journal:  Gland Surg       Date:  2020-12

3.  Clinical Value of Three Combined Ultrasonography Modalities in Predicting the Risk of Metastasis to Axillary Lymph Nodes in Breast Invasive Ductal Carcinoma.

Authors:  Qing Zhang; Enock Adjei Agyekum; Linna Zhu; Lingling Yan; Lei Zhang; Xian Wang; Liang Yin; Xiaoqin Qian
Journal:  Front Oncol       Date:  2021-09-22       Impact factor: 6.244

4.  Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization.

Authors:  Juanjuan Gu; Redouane Ternifi; Mostafa Fatemi; Azra Alizad; Nicholas B Larson; Jodi M Carter; Judy C Boughey; Daniela L Stan; Robert T Fazzio
Journal:  Breast Cancer Res       Date:  2022-03-05       Impact factor: 8.408

5.  The role of contrast-enhanced ultrasound in the diagnosis of malignant non-mass breast lesions and exploration of diagnostic criteria.

Authors:  Fan Zhang; Lifang Jin; Gang Li; Chao Jia; Qiusheng Shi; Lianfang Du; Rong Wu
Journal:  Br J Radiol       Date:  2021-02-09       Impact factor: 3.039

6.  Diagnostic Value of Elastography, Strain Ratio, and Elasticity to B-Mode Ratio and Color Doppler Ultrasonography in Breast Lesions.

Authors:  Mahnaz Ranjkesh; Farid Hajibonabi; Fatemeh Seifar; Mohammad Kazem Tarzamni; Behzad Moradi; Zhila Khamnian
Journal:  Int J Gen Med       Date:  2020-05-25

7.  Breast non-mass-like lesions on contrast-enhanced ultrasonography: Feature analysis, breast image reporting and data system classification assessment.

Authors:  Ping Xu; Min Yang; Yong Liu; Yan-Ping Li; Hong Zhang; Guang-Rui Shao
Journal:  World J Clin Cases       Date:  2020-02-26       Impact factor: 1.337

  7 in total

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