<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Vavuranakis, Manolis</style></author><author><style face="normal" font="default" size="100%">Papaioannou, Theodore G</style></author><author><style face="normal" font="default" size="100%">Vrachatis, Dimitrios</style></author><author><style face="normal" font="default" size="100%">Katsimboulas, Michael</style></author><author><style face="normal" font="default" size="100%">Elias A. Sanidas</style></author><author><style face="normal" font="default" size="100%">Vaina, Sophia</style></author><author><style face="normal" font="default" size="100%">Agrogiannis, George</style></author><author><style face="normal" font="default" size="100%">Patsouris, Efstratios</style></author><author><style face="normal" font="default" size="100%">Kakadiaris, Ioannis</style></author><author><style face="normal" font="default" size="100%">Stefanadis, Christodoulos</style></author><author><style face="normal" font="default" size="100%">Tousoulis, Dimitrios</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Computational imaging of aortic vasa vasorum and neovascularization in rabbits using contrast-enhanced intravascular ultrasound: Association with histological analysis.</style></title><secondary-title><style face="normal" font="default" size="100%">Anatol J Cardiol</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Anatol J Cardiol</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Contrast Media</style></keyword><keyword><style  face="normal" font="default" size="100%">Disease Models, Animal</style></keyword><keyword><style  face="normal" font="default" size="100%">Male</style></keyword><keyword><style  face="normal" font="default" size="100%">Neovascularization, Pathologic</style></keyword><keyword><style  face="normal" font="default" size="100%">Plaque, Atherosclerotic</style></keyword><keyword><style  face="normal" font="default" size="100%">Rabbits</style></keyword><keyword><style  face="normal" font="default" size="100%">Ultrasonography</style></keyword><keyword><style  face="normal" font="default" size="100%">Vasa vasorum</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2018 Aug</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">117-124</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">OBJECTIVE: Neoangiogenesis is pathophysiologically related to atherosclerotic plaque growth and vulnerability. We examined the in vivo performance of a computational method using contrast-enhanced intravascular ultrasound (CE-IVUS) to detect and quantify aortic wall neovascularization in rabbits. We also compared these findings with histological data.

METHODS: Nine rabbits were fed with a hyperlipidemic diet. IVUS image sequences were continuously recorded before and after the injection of a contrast agent. Mean enhancement of intensity of a region of interest (MEIR) was calculated using differential imaging algorithm. The percent difference of MEIR before and after the injection of microbubbles (d_MEIR) was used as an index of the density of plaque or/and adventitial neovascularization. Aortic segments were excised for histological analysis.

RESULTS: CE-IVUS and histological analysis were performed in 11 arterial segments. MEIR was significantly increased (~20%) after microbubble injection (from 8.1±0.9 to 9.7±1.8, p=0.016). Segments with increased VV/neovessels in the tunica adventitia (histological scores 2 and 3) had significantly higher d_MEIR compared with segments with low presence of VV/neovessels (score 1); 40.5±22.9 vs. 8±14.6, p=0.024, respectively.

CONCLUSION: It is possible to detect VV or neovessels in vivo using computational analysis of CE-IVUS images, which is in agreement with histological data. These findings may have critical implications on vulnerable plaque assessment and risk stratification.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue><custom1><style face="normal" font="default" size="100%">http://www.ncbi.nlm.nih.gov/pubmed/30088486?dopt=Abstract</style></custom1></record></records></xml>