BACKGROUND: Quantitative modification of @entity296 ( @entity296 ) by the method of frame counting may improve its sensitivity and the false negative rate for post-reperfusion @entity409 ( @entity409 ) in ST @entity583 ( @entity583 ) @entity1 . METHODS: The durations of contrast-washout from @entity1188 area of 139 @entity1 were measured by counting the cine-frame numbers between the appearance and disappearance of @entity296 . The achieved new index, @entity8312 Frame Counting ( @entity8312 -FC) was referenced by cardiac magnetic resonance, by which @entity409 was defined as microvascular obstruction on @entity2287 late-enhancement imaging. RESULTS: Median @entity8312 -FC differed significantly between @entity1 with and without @entity409 (126 frames, IQR 105-160 vs. 86 frames, IQR 75-100, p<0.001). By receiver-operating characteristic analysis, the cutoff of @entity8312 -FC at >= 95.5 frames represented an independent predictor of @entity409 (OR=11.61, p<0.001). @entity8312 -FC had similar specificity (75%) and positive predictive value (88%), but significantly improved sensitivity (85.3%) and negative predictive value (70.2%) for @entity409 compared with @entity296 (88.6%, 86.5%, 33.7% and 38.2%, respectively) and other traditional angiographic assessments, leading to a better overall accuracy (area under the curve: 0.801 compared with 0.612 from @entity296 , p<0.001) for the evaluation of microvascular patency. @entity8312 -FC was positively correlated with @entity409 extent (r=0.5, p<0.001). Abnormal @entity8312 -FC was associated with larger @entity1188 size (28.67  13.72% vs. 16.51  10.68% of left ventricular mass, p<0.001) and lower LVEF (49.37  11.06% vs. 56.84  9.72%, p<0.001). CONCLUSION: Frame counting can improve the accuracy of @entity296 for @entity409 . Moreover, @entity8312 -FC is correlated with the degree of @entity409 and cardiac detriments, which is useful for risk stratification.

Frame counting improves the assessment of post-reperfusion microvascular patency by XXXX : Evidence from cardiac magnetic resonance imaging.

@entity1 :: ('9606', 'Species') :: ['patients'] @entity296 :: ('MESH:D009202', 'Disease') :: ['TIMI myocardial perfusion grade', 'TMPG', 'myocardial blush'] @entity409 :: ('MESH:D008107', 'Disease') :: ['microvascular dysfunction', 'MVD'] @entity8312 :: ('D014294', 'Chemical') :: ['TMP'] @entity1188 :: ('MESH:D007238', 'Disease') :: ['infarction'] @entity583 :: ('MESH:D009203', 'Disease') :: ['STEMI', 'segment-elevated myocardial infarction'] @entity2287 :: ('MESH:D005682', 'Chemical') :: ['gadolinium']
@entity296 :: (MESH:D009202,Disease) :: ['TIMI myocardial perfusion grade']
