In Vivo response to compression of 35 breast lesions observed with a two-dimensional locally regularized strain estimation method

The objective of this study was to assess the in vivo performance of our 2-D locally regularized strain estimation method with 35 breast lesions, mainly cysts, fibroadenomas and carcinomas. The specific 2-D deformation model used, as well as the method's adaptability, led to an algorithm that i...

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Bibliographic Details
Published in:Ultrasound in medicine & biology Vol. 40; no. 2; p. 300
Main Authors: Brusseau, Elisabeth, Detti, Valérie, Coulon, Agnès, Maissiat, Emmanuèle, Boublay, Nawele, Berthezène, Yves, Fromageau, Jérémie, Bush, Nigel, Bamber, Jeffrey
Format: Journal Article
Language:English
Published: England 01.02.2014
Subjects:
Adult
Breast Neoplasms - diagnostic imaging
Breast Neoplasms - physiopathology
Compressive Strength
Computer Simulation
Elastic Modulus
Elasticity Imaging Techniques - methods
Female
Hardness
Humans
Image Interpretation, Computer-Assisted - methods
Models, Biological
Palpation - methods
Reproducibility of Results
Sensitivity and Specificity
Stress, Mechanical
Tensile Strength
Ultrasonography, Mammary - methods
Correlation coefficient
Strain estimation
Ultrasound elastography
Breast cancer
ISSN:1879-291X, 1879-291X
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Summary:The objective of this study was to assess the in vivo performance of our 2-D locally regularized strain estimation method with 35 breast lesions, mainly cysts, fibroadenomas and carcinomas. The specific 2-D deformation model used, as well as the method's adaptability, led to an algorithm that is able to track tissue motion from radiofrequency ultrasound images acquired in clinical conditions. Particular attention was paid to strain estimation reliability, implying analysis of the mean normalized correlation coefficient maps. For all lesions examined, the results indicated that strain image interpretation, as well as its comparison with B-mode data, should take into account the information provided by the mean normalized correlation coefficient map. Different trends were observed in the tissue response to compression. In particular, carcinomas appeared larger in strain images than in B-mode images, resulting in a mean strain/B-mode lesion area ratio of 2.59 ± 1.36. In comparison, the same ratio was assessed as 1.04 ± 0.26 for fibroadenomas. These results are in agreement with those of previous studies, and confirm the interest of a more thorough consideration of size difference as one parameter discriminating between malignant and benign lesions.
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ISSN:1879-291X
1879-291X
DOI:10.1016/j.ultrasmedbio.2013.02.017