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In vivo dynamic strains of the ovine anterior mitral valve leaflet

Overview of attention for article published in Journal of Biomechanics, April 2011
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Title
In vivo dynamic strains of the ovine anterior mitral valve leaflet
Published in
Journal of Biomechanics, April 2011
DOI 10.1016/j.jbiomech.2011.01.020
Pubmed ID
Authors

Manuel K. Rausch, Wolfgang Bothe, John-Peder Escobar Kvitting, Serdar Göktepe, D. Craig Miller, Ellen Kuhl

Abstract

Understanding the mechanics of the mitral valve is crucial in terms of designing and evaluating medical devices and techniques for mitral valve repair. In the current study we characterize the in vivo strains of the anterior mitral valve leaflet. On cardiopulmonary bypass, we sew miniature markers onto the leaflets of 57 sheep. During the cardiac cycle, the coordinates of these markers are recorded via biplane fluoroscopy. From the resulting four-dimensional data sets, we calculate areal, maximum principal, circumferential, and radial leaflet strains and display their profiles on the averaged leaflet geometry. Average peak areal strains are 13.8±6.3%, maximum principal strains are 13.0±4.7%, circumferential strains are 5.0±2.7%, and radial strains are 7.8±4.3%. Maximum principal strains are largest in the belly region, where they are aligned with the circumferential direction during diastole switching into the radial direction during systole. Circumferential strains are concentrated at the distal portion of the belly region close to the free edge of the leaflet, while radial strains are highest in the center of the leaflet, stretching from the posterior to the anterior commissure. In summary, leaflet strains display significant temporal, regional, and directional variations with largest values inside the belly region and toward the free edge. Characterizing strain distribution profiles might be of particular clinical significance when optimizing mitral valve repair techniques in terms of forces on suture lines and on medical devices.

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The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 8 14%
Professor > Associate Professor 6 10%
Student > Doctoral Student 4 7%
Researcher 4 7%
Other 12 20%
Unknown 10 17%
Readers by discipline Count As %
Engineering 31 53%
Medicine and Dentistry 8 14%
Agricultural and Biological Sciences 4 7%
Materials Science 2 3%
Social Sciences 1 2%
Other 2 3%
Unknown 11 19%