Prediction of the filter no-reflow phenomenon in patients with angina pectoris by using multimodality: Magnetic resonance imaging, optical coherence tomography, and serum biomarkers

Abstract Background Although the occurrence of no-reflow during percutaneous coronary intervention (PCI) has been shown to be associated with worse short- and long-term clinical outcomes, the clinical relevance of preventing flow deterioration by using the filter-based distal protection devices (DPDs) is controversial. We investigated predictors of the filter no-reflow (FNR) phenomenon during PCI by using multimodality, such as hyperintense plaques (HIPs) in the coronary artery on T1-weighted imaging (T1WI) non-contrast magnetic resonance, plaque composition by using optical coherence tomography (OCT), and serum biomarkers, in patients with angina pectoris. Methods and results Fifty lesions from 50 patients with angina were examined. All patients underwent T1WI within 24 h before invasive coronary angiography was performed, and preinterventional OCT was performed on a native atherosclerotic culprit lesion. The signal intensity of coronary plaque to cardiac muscle ratio (PMR) was calculated on a standard console of the magnetic resonance system. Of the 50 lesions, 20 lesions showed FNR during PCI, while non-FNR was observed in 30 lesions. A cut-off value u003e1.85 of PMR had a sensitivity of 65%, a specificity of 93%, a positive predictive value of 87%, and a negative predictive value of 80% for identifying lesions with FNR. Multivariate analysis revealed that the presence of HIPs with PMR u003e1.85 ( p  = 0.008) was the only independent predictor of the FNR phenomenon during PCI. Conclusions This study shows that the presence of HIPs with PMR u003e1.85 on T1WI was a novel independent predictor of the FNR phenomenon during PCI in angina patients. This result may help in identifying high-risk lesions for no-reflow to deploy filter-based DPDs.