Literature DB >> 21933573

Value of ultrasound elastography in detecting small breast tumors.

Li-na Fu1, Yi Wang, Yong Wang, Yong-hong Huang.   

Abstract

BACKGROUND: Detecting small breast tumors is difficult for conventional ultrasound. The goal of this study was to assess the value of ultrasound elastography in characterizing small breast tumors and to compare its sensitivity, specificity and accuracy with conventional ultrasound.
METHODS: A total of 308 breast tumors less than 2 cm in size from 283 in-hospital patients examined with both conventional ultrasound and ultrasound elastography were retrospectively analyzed. The results were compared to surgical pathology.
RESULTS: There were 104 malignant and 204 benign lesions. The sensitivities of sonography and sonoelastography were similar (P < 0.05), and the sensitivity of the two modalities combined improved remarkably to 97.1%. The mean elastic score of malignant and benign tumors less than 2 cm were 3.76 ± 1.01 and 1.73 ± 0.99, respectively (P < 0.05), and the mean elastic score of the false-negative lesions on conventional ultrasound was 3.61 ± 1.14.
CONCLUSIONS: Ultrasound elastography in combination with conventional ultrasound can improve the sensitivity for detecting small breast tumors. It is also valuable in detecting small malignant tumors which are difficult to diagnose with conventional ultrasound. Ultrasound elastography can be a useful adjunct to conventional ultrasound in diagnosing small breast tumors.

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Year:  2011        PMID: 21933573

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  6 in total

1.  Impact of breast mass size on accuracy of ultrasound elastography vs. conventional B-mode ultrasound: a meta-analysis of individual participants.

Authors:  Gelareh Sadigh; Ruth C Carlos; Colleen H Neal; Sebastian Wojcinski; Ben A Dwamena
Journal:  Eur Radiol       Date:  2012-10-20       Impact factor: 5.315

Review 2.  Strain Elastography Ultrasound: An Overview with Emphasis on Breast Cancer Diagnosis.

Authors:  Jonathan F Carlsen; Caroline Ewertsen; Lars Lönn; Michael B Nielsen
Journal:  Diagnostics (Basel)       Date:  2013-02-25

3.  Different distribution of breast ductal carcinoma in situ, ductal carcinoma in situ with microinvasion, and invasion breast cancer.

Authors:  Wei Zhang; Er-li Gao; Yi-li Zhou; Qi Zhai; Zhang-yong Zou; Gui-long Guo; Guo-rong Chen; Hua-min Zheng; Guan-li Huang; Xiao-hua Zhang
Journal:  World J Surg Oncol       Date:  2012-12-08       Impact factor: 2.754

4.  Accuracy of visual scoring and semi-quantification of ultrasound strain elastography--a phantom study.

Authors:  Jonathan Frederik Carlsen; Caroline Ewertsen; Adrian Săftoiu; Lars Lönn; Michael Bachmann Nielsen
Journal:  PLoS One       Date:  2014-02-12       Impact factor: 3.240

Review 5.  Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review.

Authors:  Ye-Jiao Mao; Hyo-Jung Lim; Ming Ni; Wai-Hin Yan; Duo Wai-Chi Wong; James Chung-Wai Cheung
Journal:  Cancers (Basel)       Date:  2022-01-12       Impact factor: 6.639

6.  Shear Wave Elastography: Is It a Valuable Additive Method to Conventional Ultrasound for the Diagnosis of Small (≤2 cm) Breast Cancer?

Authors:  So Jung Kim; Kyung Hee Ko; Hae Kyoung Jung; Hyerin Kim
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

  6 in total

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