Coronary disease & ACS

Hybrid strategy of coronary atherosclerosis characterization with T1-weighted magnetic resonance imaging (MRI) and CT angiography to non-invasively predict periprocedural myocardial injury

Eur Heart J Cardiovasc ImagingPublished prospective, multi-centre study

Authors' conclusion

Integrating MRI with CCTA improves PMI prediction compared with CCTA alone.

Study context

Population
Patients scheduled for elective percutaneous coronary intervention (PCI) for an atherosclerotic lesion detected on coronary computed tomography angiography (CCTA) without prior revascularization132 lesions from 120 patients, 43 lesions resulted in periprocedural myocardial injury (PMI)
Participants
120 patients
Exposure
MRI integration with CCTA vs CCTA alone for prediction of PMI
Outcome
Independent predictors of PMI, CCTA-only strategy

Main finding

As reported in the abstract

Low-attenuation plaque (LAP) volume independently associated with PMI

P = 0.012

Non-calcified plaque (NCP) volume independently associated with PMI

P = 0.016

Observational data: associations, not effects.

Further findings

OutcomeCCTA-only strategyMRI integration with CCTAHybrid CCTA-MRI strategyP value
C-statistic for PMI predictionMRI integration with CCTA vs CCTA-only strategy · higher with MRI integrationC-statistic 0.738C-statistic 0.880Not reported in the abstractP = 0.004hybrid CCTA-MRI strategy: not reported in the abstract
Diagnostic accuracy for PMIHybrid CCTA-MRI strategy vs CCTA-only strategy · superior with hybrid strategy0.705Not reported in the abstract0.803P = 0.028MRI integration with CCTA: not reported in the abstract

Independent predictors of PMI, integrating MRI with CCTA

LAP volume independent predictor
P = 0.029
High-intensity plaque (HIP) volume independent predictor
P = 0.024

Original publication

Hybrid strategy of coronary atherosclerosis characterization with T1-weighted MRI and CT angiography to non-invasively predict periprocedural myocardial injury. Eur Heart J Cardiovasc Imaging. Published 17 April 2025. doi:10.1093/ehjci/jeaf116

Summarised from the published abstract; every number is checked against it

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