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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Veröffentlicht in:	Ultrasound in medicine & biology Jg. 40; H. 2; S. 300
Hauptverfasser:	Brusseau, Elisabeth, Detti, Valérie, Coulon, Agnès, Maissiat, Emmanuèle, Boublay, Nawele, Berthezène, Yves, Fromageau, Jérémie, Bush, Nigel, Bamber, Jeffrey
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.02.2014
Schlagworte:	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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Abstract	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.
AbstractList	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.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. 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.
Author	Boublay, Nawele Fromageau, Jérémie Detti, Valérie Berthezène, Yves Bamber, Jeffrey Maissiat, Emmanuèle Brusseau, Elisabeth Coulon, Agnès Bush, Nigel
Author_xml	– sequence: 1 givenname: Elisabeth surname: Brusseau fullname: Brusseau, Elisabeth email: elisabeth.brusseau@creatis.insa-lyon.fr organization: Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, France. Electronic address: elisabeth.brusseau@creatis.insa-lyon.fr – sequence: 2 givenname: Valérie surname: Detti fullname: Detti, Valérie organization: Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, France – sequence: 3 givenname: Agnès surname: Coulon fullname: Coulon, Agnès organization: Hospices Civils de Lyon, Service de Radiologie, Hôpital de la Croix-Rousse, Lyon, France – sequence: 4 givenname: Emmanuèle surname: Maissiat fullname: Maissiat, Emmanuèle organization: Hospices Civils de Lyon, Service de Radiologie, Hôpital de la Croix-Rousse, Lyon, France – sequence: 5 givenname: Nawele surname: Boublay fullname: Boublay, Nawele organization: Hospices Civils de Lyon, Pôle Information Médicale Evaluation Recherche, Lyon, France; Université Lyon 1, Equipe d'Accueil 4129, France; Centre Mémoire de Ressources et de Recherche (CMRR), Hôpital des Charpennes, Lyon, France – sequence: 6 givenname: Yves surname: Berthezène fullname: Berthezène, Yves organization: Université de Lyon, CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, France; Hospices Civils de Lyon, Service de Radiologie, Hôpital de la Croix-Rousse, Lyon, France – sequence: 7 givenname: Jérémie surname: Fromageau fullname: Fromageau, Jérémie organization: Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK – sequence: 8 givenname: Nigel surname: Bush fullname: Bush, Nigel organization: Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK – sequence: 9 givenname: Jeffrey surname: Bamber fullname: Bamber, Jeffrey organization: Joint Department of Physics, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Surrey, UK
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Keywords	Correlation coefficient Strain estimation Ultrasound elastography Breast cancer
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Snippet	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,... 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,...
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SubjectTerms	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
Title	In Vivo response to compression of 35 breast lesions observed with a two-dimensional locally regularized strain estimation method
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