Literature DB >> 25858446

The Journey of Elastography: Background, Current Status, and Future Possibilities in Breast Cancer Diagnosis.

Tasnuva Faruk1, Md Kafiul Islam2, Sams Arefin3, Md Zahurul Haq4.   

Abstract

Elastography is a promising way to assess tissue differences regarding stiffness or elasticity for what was historically assessed manually by palpation. Combined with conventional imaging modalities (eg, ultrasonography [US]), elastography can potentially evaluate the stiffness of a breast lesion and consequently help to detect malignant breast tumor from benign ones. Recent studies show that ultrasonographic elastography (USE) provides higher image quality compared with conventional B-mode US or mammography during breast cancer diagnosis, which eventually helps to reduce false-positive results (ie, increased specificity) and therefore is useful in avoiding breast biopsy. This article reviews the basics of elastography technique, classifications, diagnosis results obtained from clinical studies to date for differentiating malignant breast tumors from benign lesions, and its future possibilities. In addition, this article generalizes different elastography methods, modes, and associated imaging modalities in a simpler way and attempts to identify misconceptions and confusion related to existing elastography techniques. It also makes an effort to identify the gaps of information that need to be filled so that interested researchers can get an overall idea of elastography-based methods in a convenient way to carry out their research on breast elastography for prospective future applications, eg, breast cancer diagnosis or even in intraoperative breast tumor localization.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer diagnosis; Elastography; Shear wave; Sonoelastography/ultrasonographic elastography; Strain imaging

Mesh:

Year:  2015        PMID: 25858446     DOI: 10.1016/j.clbc.2015.01.002

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  17 in total

1.  Ultrasound elastography as an imaging biomarker for detection of early tumor response to chemotherapy in a murine breast cancer model: a feasibility study.

Authors:  Jian-Wei Wang; Zhi-Xing Guo; Qing-Guang Lin; Wei Zheng; Shu-Lian Zhuang; Shi-Yang Lin; An-Hua Li; Xiao-Qing Pei
Journal:  Br J Radiol       Date:  2018-02-20       Impact factor: 3.039

2.  Quantifying tissue viscoelasticity using optical coherence elastography and the Rayleigh wave model.

Authors:  Zhaolong Han; Manmohan Singh; Salavat R Aglyamov; Chih-Hao Liu; Achuth Nair; Raksha Raghunathan; Chen Wu; Jiasong Li; Kirill V Larin
Journal:  J Biomed Opt       Date:  2016-09-01       Impact factor: 3.170

3.  Quantification of breast stiffness using MR elastography at 3 Tesla with a soft sternal driver: A reproducibility study.

Authors:  Jeffrey R Hawley; Prateek Kalra; Xiaokui Mo; Brian Raterman; Lisa D Yee; Arunark Kolipaka
Journal:  J Magn Reson Imaging       Date:  2016-10-25       Impact factor: 4.813

4.  Difference-Frequency Ultrasound Imaging With Non-Linear Contrast.

Authors:  Yilei Li; Dina Polyak; Eli Johnson; Derek Yecies; Saba Shevidi; Adam de la Zerda; Melanie Hayden Gephart; Steven Chu
Journal:  IEEE Trans Med Imaging       Date:  2019-12-03       Impact factor: 10.048

5.  Optical coherence elastography assessment of corneal viscoelasticity with a modified Rayleigh-Lamb wave model.

Authors:  Zhaolong Han; Jiasong Li; Manmohan Singh; Chen Wu; Chih-Hao Liu; Raksha Raghunathan; Salavat R Aglyamov; Srilatha Vantipalli; Michael D Twa; Kirill V Larin
Journal:  J Mech Behav Biomed Mater       Date:  2016-11-05

6.  Nonlinear Elasticity Assessment with Optical Coherence Elastography for High-Selectivity Differentiation of Breast Cancer Tissues.

Authors:  Ekaterina V Gubarkova; Aleksander A Sovetsky; Lev A Matveev; Aleksander L Matveyev; Dmitry A Vorontsov; Anton A Plekhanov; Sergey S Kuznetsov; Sergey V Gamayunov; Alexey Y Vorontsov; Marina A Sirotkina; Natalia D Gladkova; Vladimir Y Zaitsev
Journal:  Materials (Basel)       Date:  2022-05-05       Impact factor: 3.748

7.  Usefulness of new shear wave elastography in early predicting the efficacy of neoadjuvant chemotherapy for patients with breast cancer: where and when to measure is optimal?

Authors:  Jiong-Hui Gu; Chang He; Qi-Yu Zhao; Tian-An Jiang
Journal:  Breast Cancer       Date:  2022-01-17       Impact factor: 3.307

8.  Differential diagnostic performance of acoustic radiation force impulse imaging in small (≤20 mm) breast cancers: Is it valuable?

Authors:  Si-Da Wang; Lei Wang; Zhi-Xian Li; Kang-Lai Wei; Xin-Hong Liao; Yuan-Yuan Chen; Xue Huang
Journal:  Sci Rep       Date:  2017-08-17       Impact factor: 4.379

9.  Added value of strain elastography in the characterisation of breast lesions: A prospective study.

Authors:  Dimpi Sinha; Sukrity Sharma; Nischal G Kundaragi; Sudhir Kumar Kale
Journal:  Ultrasound       Date:  2020-03-16

Review 10.  Ultrasound Elastography: Review of Techniques and Clinical Applications.

Authors:  Rosa M S Sigrist; Joy Liau; Ahmed El Kaffas; Maria Cristina Chammas; Juergen K Willmann
Journal:  Theranostics       Date:  2017-03-07       Impact factor: 11.556

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