Hybrid strategy of coronary atherosclerosis characterization with T1-weighted magnetic resonance imaging (MRI) and CT angiography to non-invasively predict periprocedural myocardial injury
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
| Outcome | CCTA-only strategy | MRI integration with CCTA | Hybrid CCTA-MRI strategy | P value | |
|---|---|---|---|---|---|
| C-statistic for PMI predictionMRI integration with CCTA vs CCTA-only strategy · higher with MRI integration | C-statistic 0.738 | C-statistic 0.880 | Not reported in the abstract | P = 0.004 | hybrid CCTA-MRI strategy: not reported in the abstract |
| Diagnostic accuracy for PMIHybrid CCTA-MRI strategy vs CCTA-only strategy · superior with hybrid strategy | 0.705 | Not reported in the abstract | 0.803 | P = 0.028 | MRI 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