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- W3106957231 abstract "Abstract Background/Introduction Coronary computed tomography angiography (CCTA) has developed rapidly, enabling the evaluation of coronary stenosis as well as plaque characteristics. However, it is not clear whether the adverse plaque characteristics found in CCTA are really vulnerable plaques. Near-infrared spectroscopy (NIRS) is able to quantify cholesterol within coronary arteries by the lipid core burden index (LCBI). Purpose The purpose of this study was to determine whether positive remodeling (PR), low attenuated plaque (LAP) and spotty calcificaiton (SC) found in CCTA have high LCBI values in NIRS. Methods The study was single center, prospective, and cross-sectional. A total of 84 patients who underwent NIRS during percutaneous coronary intervention after CCTA imaging for coronary artery disease were studied. PR, LAP and SC were identified in the plaques visible on CCTA, and LCBI and maxLCBI (4mm) were measured by NIRS on the same plaque. Results In the presence of PR and LAP in the plaque, the maxLCBI (4mm) [PR: 468±161 vs. 319±214, p=0.032, LAP: 475±178 vs. 278±191, p=0.006] and LCBI [PR: 190±74 vs. 132±104, p=0.044, LAP: 182±96 vs. 124±93, p=0.038] values were significantly higher than those in the plaque without PR and LAP. However, with and without SC, there was no significant difference between the maxLCBI (4mm) [474±181 vs. 336±208] and LCBI [183±77 vs. 142±102, p=0.127] values. Conclusion Among the adverse plaque characteristics found in CCTA, PR and LAP were clearly correlated with maxLCBI (4mm) and LCBI measured by NIRS, but SC was less correlated. APC vs. LCBI Funding Acknowledgement Type of funding source: None" @default.
- W3106957231 created "2020-12-07" @default.
- W3106957231 creator A5080485332 @default.
- W3106957231 date "2020-11-01" @default.
- W3106957231 modified "2023-09-25" @default.
- W3106957231 title "Evaluation of adverse plaque characteristics in coronary computed tomography angiography using combined near infrared spectroscopy" @default.
- W3106957231 doi "https://doi.org/10.1093/ehjci/ehaa946.0186" @default.
- W3106957231 hasPublicationYear "2020" @default.
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