The long term goal of this line of research is to expand the development and testing of novel ultrasound methodologies to elucidate the mechanical phenomena occurring at and near soft tissue boundaries that may be specific to the behavior of benign vs. malignant tumors in the breast and elsewhere. The overall hypothesis of this work is that quantitative metrics from axial-shear strain elastograms (ASSEs), which are related to tissue bonding at internal boundaries in inhomogeneous tissues, could serve as features that may become important in the noninvasive differentiation between benign and malignant breast tumors in vivo. To test this hypothesis we propose the following aims:
Aim 1 : Develop a Graphical User Interface (GUI) software tool that will aid in extracting, estimating, and analyzing features from axial-shear strain elastograms;
and Aim 2 : Conduct a retrospective study on a previously-acquired elastographic data base to investigate the use of axial-shear strain elastograms to discriminate pathologically-confirmed benign from malignant breast tumors in-vivo. The term 'bonding'will be used in a generic sense (as used in the literature) to describe the mechanical properties of the tumor boundary. This may refer to the mechanical interlocking at the inclusion-background boundary.

Public Health Relevance

The research we propose in this application is aimed at testing a novel ultrasound technology based on a new contrast mechanism for breast tumor classification. This technology may eventually find applications in various areas of medicine such as tumor detection, tumor classification, cardiovascular muscle function, wound healing and vulnerable plaque characterization. The application of this novel technology may provide powerful tool that complement and overcome some of the limitations of existing ultrasound imaging techniques while maintaining the advantages of low costs, and high safety and accessibility typical of ultrasound-based modalities.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21CA135580-02
Application #
7644000
Study Section
Special Emphasis Panel (ZRG1-SBIB-U (91))
Program Officer
Croft, Barbara
Project Start
2008-09-01
Project End
2011-08-31
Budget Start
2009-09-01
Budget End
2011-08-31
Support Year
2
Fiscal Year
2009
Total Cost
$202,500
Indirect Cost
Name
University of Texas Health Science Center Houston
Department
Type
Schools of Medicine
DUNS #
800771594
City
Houston
State
TX
Country
United States
Zip Code
77225
Thittai, Arun K; Xia, Rongmin (2015) An analysis of the segmentation threshold used in axial-shear strain elastography. Ultrasonics 55:58-64
Xia, Rongmin; Thittai, Arun K (2015) Method to estimate the deviation from ideal uniaxial compression during freehand elastography. Ultrason Imaging 37:70-82
Xia, Rongmin; Thittai, Arun K (2014) Real-time monitoring of high-intensity focused ultrasound treatment using axial strain and axial-shear strain elastograms. Ultrasound Med Biol 40:485-95
Xia, Rongmin; Tao, Guozhi; Thittai, Arun Kumar (2014) Dynamic frame pairing in real-time freehand elastography. IEEE Trans Ultrason Ferroelectr Freq Control 61:979-85
Thittai, Arun K; Yamal, Jose-Miguel; Ophir, Jonathan (2013) Small breast lesion classification performance using the normalized axial-shear strain area feature. Ultrasound Med Biol 39:543-8
Thittai, Arun K; Galaz, Belfor; Ophir, Jonathan (2012) On the advantages of imaging the axial-shear strain component of the total shear strain in breast tumors. Ultrasound Med Biol 38:2031-7
Thittai, Arun K; Yamal, Jose-Miguel; Mobbs, Louise M et al. (2011) Axial-shear strain elastography for breast lesion classification: further results from in vivo data. Ultrasound Med Biol 37:189-97
Thittai, Arun K; Galaz, Belfor; Ophir, Jonathan (2011) Visualization of HIFU-induced lesion boundaries by axial-shear strain elastography: a feasibility study. Ultrasound Med Biol 37:426-33
Thittai, Arun K; Galaz, Belfor; Ophir, Jonathan (2010) Axial-shear strain distributions in an elliptical inclusion model: experimental validation and in vivo examples with implications to breast tumor classification. Ultrasound Med Biol 36:814-20
Thittai, Arun K; Galaz, Belfor; Ophir, Jonathan (2010) Importance of axial compression verification to correct interpretation of axial-shear strain elastograms in breast lesions. Ultrason Imaging 32:190-8