In:
Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 146, No. Suppl_1 ( 2022-11-08)
Abstract:
Introduction: Although high-intensity plaques (HIPs) on cardiac magnetic resonance (CMR) have been reported to be associated with vulnerable plaque features, there is little evidence in comparison with near-infrared spectroscopy (NIRS)-intravascular ultrasound (IVUS) findings, which have recently been shown to positively identify vulnerable plaques and predict peri-procedural myocardial infarction (pMI). Hypothesis: We assumed that the coronary plaque characterization of CMR and NIRS-IVUS may have a significant relationship, and determined whether pre-percutaneous coronary intervention (PCI) evaluation using CMR identifies HIPs at risk of pMI. Methods: In total, 52 patients with stable coronary artery disease who underwent CMR with non-contrast T1-weighted imaging and PCI using NIRS-IVUS were studied. HIP was defined as a signal intensity of the coronary plaque-to-myocardial signal intensity ratio (PMR) ≥1.4. We evaluated the association between the NIRS-derived maximum 4-mm lipid-core burden index (maxLCBI 4mm ) and plaque morphology on IVUS, and assessed the incidence of pMI. Results: Of 62 lesions, HIPs were observed in 30 lesions (48%). HIPs had a significantly higher maxLCBI 4mm (500±170 versus [vs.] 288±218, p 〈 0.001) and plaque burden (69±8% vs. 63±10%, p =0.011) than the non-HIPs. The correlation between the maxLCBI 4mm and PMR was significantly positive (r=0.51). In multivariable analysis, HIP independently predicted a maxLCBI 4mm ≥400 (odds ratio [OR]=3.93; 95% conf idence intervals [CIs]: 1.21-13.6, p =0.023). Furthermore, pMI occurred in 14 of 30 lesions (47%) with HIP, compared to 5 of 32 lesions (16%) without HIP ( p =0.005). Conclusions: We found an important relationship between coronary HIPs on CMR and NIRS-derived maxLCBI 4mm . We also confirmed that non-contrast T1-weighted imaging in CMR can be useful not only for the characterization of vulnerable plaque features, but also for pre-PCI risk stratification.
Type of Medium:
Online Resource
ISSN:
0009-7322
,
1524-4539
DOI:
10.1161/circ.146.suppl_1.10001
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2022
detail.hit.zdb_id:
1466401-X
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