Literature DB >> 26564483

Anisotropy of Solid Breast Lesions in 2D Shear Wave Elastography is an Indicator of Malignancy.

Katrin Skerl1, Sarah Vinnicombe2, Kim Thomson2, Denis McLean2, Elisabetta Giannotti3, Andrew Evans2.   

Abstract

RATIONALE AND
OBJECTIVES: To investigate if anisotropy at two-dimensional shear wave elastography (SWE) suggests malignancy and whether it correlates with prognostic and predictive factors in breast cancer.
MATERIALS AND METHODS: Study group A of 244 solid breast lesions was imaged with SWE between April 2013 and May 2014. Each lesion was imaged in radial and in antiradial planes, and the maximum elasticity, mean elasticity, and standard deviation were recorded and correlated with benign/malignant status, and if malignant, correlated with conventional predictive and prognostic factors. The results were compared to a study group B of 968 solid breast lesions, which were imaged in sagittal and in axial planes between 2010 and 2013.
RESULTS: Neither benign nor malignant lesion anisotropy is plane dependent. However, malignant lesions are more anisotropic than benign lesions (P ≤ 0.001). Anisotropy correlates with increasing elasticity parameters, breast imaging-reporting and data system categories, core biopsy result, and tumor grade. Large cancers are significantly more anisotropic than small cancers (P ≤ 0.001). The optimal anisotropy cutoff threshold for benign/malignant differentiation of 150 kPa(2) achieves the best sensitivity (74%) with a reasonable specificity (63%).
CONCLUSIONS: Anisotropy may be useful during benign/malignant differentiation of solid breast masses using SWE. Anisotropy also correlates with some prognostic factors in breast cancer. Crown
Copyright © 2016. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast; Breast cancer; Elastography; Shear wave elastography; Ultrasound

Mesh:

Year:  2015        PMID: 26564483     DOI: 10.1016/j.acra.2015.09.016

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  14 in total

Review 1.  Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review.

Authors:  Rongrong Guo; Guolan Lu; Binjie Qin; Baowei Fei
Journal:  Ultrasound Med Biol       Date:  2017-10-26       Impact factor: 2.998

2.  Quantitative Estimation of Mechanical Anisotropy Using Acoustic Radiation Force (ARF)-Induced Peak Displacements (PD): In Silico and Experimental Demonstration.

Authors:  Md Murad Hossain; Caterina M Gallippi
Journal:  IEEE Trans Med Imaging       Date:  2022-06-01       Impact factor: 11.037

3.  Electromechanical Coupling Factor of Breast Tissue as a Biomarker for Breast Cancer.

Authors:  Kihan Park; Wenjin Chen; Marina A Chekmareva; David J Foran; Jaydev P Desai
Journal:  IEEE Trans Biomed Eng       Date:  2017-04-19       Impact factor: 4.538

4.  A 1.5-D Array for Acoustic Radiation Force (ARF)-Induced Peak Displacement-Based Tissue Anisotropy Assessment With a Row-Column Excitation Method.

Authors:  Huaiyu Wu; Md Murad Hossain; Howuk Kim; Caterina M Gallippi; Xiaoning Jiang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-03-26       Impact factor: 2.725

5.  Feasibility of Harmonic Motion Imaging Using a Single Transducer: In Vivo Imaging of Breast Cancer in a Mouse Model and Human Subjects.

Authors:  Md Murad Hossain; Niloufar Saharkhiz; Elisa E Konofagou
Journal:  IEEE Trans Med Imaging       Date:  2021-04-30       Impact factor: 10.048

6.  Electronic Point Spread Function Rotation Using a Three-Row Transducer for ARFI-Based Elastic Anisotropy Assessment: In Silico and Experimental Demonstration.

Authors:  Md Murad Hossain; Caterina M Gallippi
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-02-25       Impact factor: 2.725

7.  Prediction of Invasive Breast Cancer Using Mass Characteristic Frequency and Elasticity in Correlation with Prognostic Histologic Features and Immunohistochemical Biomarkers.

Authors:  Juanjuan Gu; Eric C Polley; Judy C Boughey; Robert T Fazzio; Mostafa Fatemi; Azra Alizad
Journal:  Ultrasound Med Biol       Date:  2021-05-14       Impact factor: 3.694

8.  Ultrasound shear wave elastography of breast lesions: correlation of anisotropy with clinical and histopathological findings.

Authors:  Ya-Ling Chen; Yi Gao; Cai Chang; Fen Wang; Wei Zeng; Jia-Jian Chen
Journal:  Cancer Imaging       Date:  2018-04-05       Impact factor: 3.909

Review 9.  Current State of Breast Cancer Diagnosis, Treatment, and Theranostics.

Authors:  Arya Bhushan; Andrea Gonsalves; Jyothi U Menon
Journal:  Pharmaceutics       Date:  2021-05-14       Impact factor: 6.321

Review 10.  Shear-wave elastography in breast ultrasonography: the state of the art.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son
Journal:  Ultrasonography       Date:  2017-04-05
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