TY - JOUR
T1 - Endovascular shear strain elastography for the detection and characterization of the severity of atherosclerotic plaques
T2 - In vitro validation and in vivo evaluation
AU - Majdouline, Younes
AU - Ohayon, Jacques
AU - Keshavarz-Motamed, Zahra
AU - Roy Cardinal, Marie Hélène
AU - Garcia, Damien
AU - Allard, Louise
AU - Lerouge, Sophie
AU - Arsenault, Frédéric
AU - Soulez, Gilles
AU - Cloutier, Guy
N1 - Funding Information:
This research was supported by the Natural Sciences and Engineering Research Council of Canada (Collaborative Health Research Program 323405-6 and Strategic Program 381136-09) and by the Canadian Institutes of Health Research (CPG-80085). Zahra Keshavarz-Motamed was supported by a Fonds de la Recherche du Québec Postdoctoral Grant (FQRNT).
PY - 2014/5
Y1 - 2014/5
N2 - This work explores the potential of shear strain elastograms to identify vulnerable atherosclerotic plaques. The Lagrangian speckle model estimator (LSME) elasticity imaging method was further developed to estimate shear strain elasticity (SSE). Three polyvinyl alcohol cryogel vessel phantoms were imaged with an intravascular ultrasound (IVUS) scanner. The estimated SSE maps were validated against finite-element results. Atherosclerosis was induced in carotid arteries of eight Sinclair mini-pigs using a combination of surgical techniques, diabetes and a high-fat diet. IVUS images were acquired invivo in 14 plaques before euthanasia and histology. All plaques were characterized by high magnitudes in SSE maps that correlated with American Heart Association atherosclerosis stage classifications (r=0.97, p<0.001): the worse the plaque condition the higher was the absolute value of SSE, i.e. |SSE| (e.g., mean |SSE| was 3.70±0.40% in Type V plaques, whereas it was reduced to 0.11±0.01% in normal walls). This study indicates the feasibility of using SSE to highlight atherosclerotic plaque vulnerability characteristics.
AB - This work explores the potential of shear strain elastograms to identify vulnerable atherosclerotic plaques. The Lagrangian speckle model estimator (LSME) elasticity imaging method was further developed to estimate shear strain elasticity (SSE). Three polyvinyl alcohol cryogel vessel phantoms were imaged with an intravascular ultrasound (IVUS) scanner. The estimated SSE maps were validated against finite-element results. Atherosclerosis was induced in carotid arteries of eight Sinclair mini-pigs using a combination of surgical techniques, diabetes and a high-fat diet. IVUS images were acquired invivo in 14 plaques before euthanasia and histology. All plaques were characterized by high magnitudes in SSE maps that correlated with American Heart Association atherosclerosis stage classifications (r=0.97, p<0.001): the worse the plaque condition the higher was the absolute value of SSE, i.e. |SSE| (e.g., mean |SSE| was 3.70±0.40% in Type V plaques, whereas it was reduced to 0.11±0.01% in normal walls). This study indicates the feasibility of using SSE to highlight atherosclerotic plaque vulnerability characteristics.
KW - Atherosclerotic plaque image processing
KW - Intravascular ultrasound
KW - Shear strain
KW - Swine model
KW - Vascular elastography
KW - Vulnerable plaques
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U2 - 10.1016/j.ultrasmedbio.2013.12.008
DO - 10.1016/j.ultrasmedbio.2013.12.008
M3 - Article
C2 - 24495438
AN - SCOPUS:84897087397
VL - 40
SP - 890
EP - 903
JO - Ultrasound in Medicine and Biology
JF - Ultrasound in Medicine and Biology
SN - 0301-5629
IS - 5
ER -