Objectives:To explore the correlation between angiography-derived microcirculatory resistance(AMR)and microvascular obstruction(MVO)extent,and AMR's predictive value for ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI)post-primary percutaneous coronary intervention(PCI).Methods:This retrospective study included STEMI patients who underwent PCI at Beijing Anzhen Hospital from April 2019 to January 2023.Patients underwent acute and follow-up cardiac magnetic resonance(CMR)examinations 3-7 days and 3 months post-PCI.Ventricular remodeling was defined as a 20%or more increase in left ventricular end-diastolic volume at follow-up.Patients were divided into ventricular remodeling and non-ventricular remodeling groups.Baseline clinical characteristics,AMR values and CMR indices of both groups were compared.Pearson's correlation coefficient was used to explore the correlation between AMR and MVO extent on CMR.Logistic regression and receiver operating characteristic curve analysis were employed to evaluate the predictive performance of AMR for ventricular remodeling.Results:A total of 168 STEMI patients([56.4±11.4]years,139[82.7%]males)were included,with 49(29.2%)in the ventricular remodeling group and 119(70.8%)in the non-ventricular remodeling group.AMR was positively correlated with MVO extent on CMR(r=0.42,P<0.01).Compared to the non-ventricular remodeling group,patients in the ventricular remodeling group exhibited a higher AMR value(3.00[2.56,3.52]mmHg?s/cm vs.2.48[2.20,2.74]mmHg?s/cm,1 mmHg=0.133 kPa,P<0.01).Multivariate logistic analysis showed that AMR was independently associated with ventricular remodeling post-PCI in STEMI patients.For every 0.2 mmHg·s/cm increase in AMR,the risk for ventricular remodeling increased 45.1%(adjusted OR=1.451,95%CI:1.228-1.714,P<0.01).Area under the curve of AMR for predicting ventricular remodeling was 0.769.Conclusions:AMR is positively correlated with MVO extent and is an independent predictor for ventricular remodeling in STEMI patients post-PCI.

Objectives:To explore the correlation between angiography-derived microcirculatory resistance(AMR)and microvascular obstruction(MVO)extent,and AMR's predictive value for ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI)post-primary percutaneous coronary intervention(PCI).Methods:This retrospective study included STEMI patients who underwent PCI at Beijing Anzhen Hospital from April 2019 to January 2023.Patients underwent acute and follow-up cardiac magnetic resonance(CMR)examinations 3-7 days and 3 months post-PCI.Ventricular remodeling was defined as a 20%or more increase in left ventricular end-diastolic volume at follow-up.Patients were divided into ventricular remodeling and non-ventricular remodeling groups.Baseline clinical characteristics,AMR values and CMR indices of both groups were compared.Pearson's correlation coefficient was used to explore the correlation between AMR and MVO extent on CMR.Logistic regression and receiver operating characteristic curve analysis were employed to evaluate the predictive performance of AMR for ventricular remodeling.Results:A total of 168 STEMI patients([56.4±11.4]years,139[82.7%]males)were included,with 49(29.2%)in the ventricular remodeling group and 119(70.8%)in the non-ventricular remodeling group.AMR was positively correlated with MVO extent on CMR(r=0.42,P<0.01).Compared to the non-ventricular remodeling group,patients in the ventricular remodeling group exhibited a higher AMR value(3.00[2.56,3.52]mmHg?s/cm vs.2.48[2.20,2.74]mmHg?s/cm,1 mmHg=0.133 kPa,P<0.01).Multivariate logistic analysis showed that AMR was independently associated with ventricular remodeling post-PCI in STEMI patients.For every 0.2 mmHg·s/cm increase in AMR,the risk for ventricular remodeling increased 45.1%(adjusted OR=1.451,95%CI:1.228-1.714,P<0.01).Area under the curve of AMR for predicting ventricular remodeling was 0.769.Conclusions:AMR is positively correlated with MVO extent and is an independent predictor for ventricular remodeling in STEMI patients post-PCI.

Objective:To evaluate the correlation and consistency between quantitative coronary flow fraction (QFR) and cardiac magnetic resonance imaging (CMR) in assessing myocardial ischemia in patients with coronary heart disease (CAD).Methods:A retrospective analysis was conducted on the data of coronary heart disease patients who underwent load CMR examination and coronary angiography at the Beijing Anzhen Hospital, Capital Medical University from August 2017 to March 2022. CMR examination includes cardiac cine, load/rest myocardial perfusion imaging, and delayed enhancement sequence. According to the results of CMR examination, the patient′s left ventricular myocardial segments were divided into normal segment group and abnormal segment group (further divided into ischemic segment group and infarcted segment group). On the basis of coronary angiography, an artificial intelligence based platform (AngioPlus system) was applied to calculate the preoperative coronary artery QFR value of patients undergoing percutaneous coronary intervention treatment. Kappa test was used to evaluate the consistency of QFR and CMR in diagnosing abnormal myocardium; Mann Whitney U test was used to compare the differences in QFR between groups; The receiver operating characteristic (ROC) curve was used to evaluate the efficacy of QFR in diagnosing abnormal myocardium; Spearman correlation analysis was used to clarify the relationship between myocardial infarction area and QFR value of the supplying coronary artery in patients.Results:Among the 70 CAD patients enrolled, there were 60 males and 10 females, aged (54.1±11.1)years. At the vascular level, the consistency between QFR and CMR in diagnosing myocardial injury (including ischemia and infarction) is moderate (Kappa value=0.514). The sensitivity and specificity of detecting abnormal myocardial segments in CAD patients were 57% and 91%, respectively. The area under the curve (AUC) value of QFR predicting abnormal myocardium in CAD patients was 0.769, and the optimal cutoff value was QFR=0.865. At this time, the sensitivity and specificity of QFR predicting myocardial injury in CAD patients were 67.2% and 84.3%, respectively. The difference in vascular QFR between the normal segment group, ischemic segment group, and infarcted segment group was statistically significant ( P<0.001), with the infarcted segment group having significantly lower QFR values than the other two groups (all P<0.01). The range of myocardial infarction was negatively correlated with the QFR value of the supplying coronary artery ( r=-0.45, P<0.001). At the patient level, the consistency between QFR and CMR in diagnosing myocardial injury (including ischemia and infarction) was moderate (Kappa value=0.445), with a sensitivity of 74% and a specificity of 81% for diagnosing myocardial injury in CAD patients. Conclusions:Compared with CMR, QFR has better specificity in detecting myocardial injury in CAD patients. The QFR value of the infarcted segment group is significantly lower than that of the ischemic group and the normal group. The area of myocardial infarction is negatively correlated with the QFR value of the supplying coronary artery.