Literature DB >> 18701768

Breast tumor classification using axial shear strain elastography: a feasibility study.

Arun Thitaikumar1, Louise M Mobbs, Christina M Kraemer-Chant, Brian S Garra, Jonathan Ophir.   

Abstract

Recently, the feasibility of visualizing the characteristics of bonding at an inclusion-background boundary using axial-shear strain elastography was demonstrated. In this paper, we report a feasibility study on the utility of the axial-shear strain elastograms in the classification of in vivo breast tumor as being benign or malignant. The study was performed using data sets obtained from 15 benign and 15 malignant cases that were biopsy proven. A total of three independent observers were trained, and their services were utilized for the study. A total of 9 cases were used as training set and the remaining cases were used as testing set. The feature from the axial-shear strain elastogram, namely, the area of the axial-shear region, was extracted by the observers. The observers also outlined the tumor area on the corresponding sonogram, which was used to normalize the area of the axial-shear strain region. There are several observations that can be drawn from the results. First, the result indicates that the observers consistently ( approximately 82% of the cases) noticed the characteristic pattern of the axial-shear strain distribution data as predicted in the previous simulation studies, i.e. alternating regions of positive and negative axial-shear strain values around the tumor-background interface. Second, the analysis of the result suggests that in approximately 57% of the cases in which the observers did not visualize tumor in the sonogram, the elastograms helped them to locate the tumor. Finally, the analysis of the result suggests that for the discriminant feature value of 0.46, the number of unnecessary biopsies could be reduced by 56.3% without compromising on sensitivity and on negative predictive value (NPV). Based on the results in this study, feature values greater than 0.75 appear to be indicative of malignancy, while values less than 0.46 to be indicative of benignity. Feature values between 0.46 and 0.75 may result in an overlap between benign and malignant cases.

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Year:  2008        PMID: 18701768     DOI: 10.1088/0031-9155/53/17/022

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  24 in total

1.  Harmonic Motion Imaging (HMI) for Tumor Imaging and Treatment Monitoring.

Authors:  Elisa E Konofagou; Caroline Maleke; Jonathan Vappou
Journal:  Curr Med Imaging Rev       Date:  2012

2.  Analysis of shear strain imaging for classifying breast masses: finite element and phantom results.

Authors:  Haiyan Xu; Tomy Varghese; Ernest L Madsen
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

3.  Real-time quasi-static ultrasound elastography.

Authors:  Graham Treece; Joel Lindop; Lujie Chen; James Housden; Richard Prager; Andrew Gee
Journal:  Interface Focus       Date:  2011-04-20       Impact factor: 3.906

4.  Normal and shear strain imaging using 2D deformation tracking on beam steered linear array datasets.

Authors:  Haiyan Xu; Tomy Varghese
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

5.  Use of shear wave elastography to differentiate benign and malignant breast lesions.

Authors:  Deniz Çebi Olgun; Bora Korkmazer; Fahrettin Kılıç; Atilla Süleyman Dikici; Mehmet Velidedeoğlu; Fatih Aydoğan; Fatih Kantarcı; Mehmet Halit Yılmaz
Journal:  Diagn Interv Radiol       Date:  2014 May-Jun       Impact factor: 2.630

6.  Axial-shear strain elastography for breast lesion classification: further results from in vivo data.

Authors:  Arun K Thittai; Jose-Miguel Yamal; Louise M Mobbs; Christina M Kraemer-Chant; Srinivasa Chekuri; Brian S Garra; Jonathan Ophir
Journal:  Ultrasound Med Biol       Date:  2011-01-05       Impact factor: 2.998

7.  The use of 2D ultrasound elastography for measuring tendon motion and strain.

Authors:  Laura Chernak Slane; Darryl G Thelen
Journal:  J Biomech       Date:  2013-11-28       Impact factor: 2.712

8.  Multi-parametric monitoring and assessment of high-intensity focused ultrasound (HIFU) boiling by harmonic motion imaging for focused ultrasound (HMIFU): an ex vivo feasibility study.

Authors:  Gary Y Hou; Fabrice Marquet; Shutao Wang; Elisa E Konofagou
Journal:  Phys Med Biol       Date:  2014-02-20       Impact factor: 3.609

9.  Small breast lesion classification performance using the normalized axial-shear strain area feature.

Authors:  Arun K Thittai; Jose-Miguel Yamal; Jonathan Ophir
Journal:  Ultrasound Med Biol       Date:  2013-01-11       Impact factor: 2.998

10.  An analysis of the segmentation threshold used in axial-shear strain elastography.

Authors:  Arun K Thittai; Rongmin Xia
Journal:  Ultrasonics       Date:  2014-08-19       Impact factor: 2.890

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