Humans ; Female ; Coronary Artery Disease/complications* ; Hyperlipoproteinemia Type II/complications* ; Aortic Valve Stenosis/etiology* ; Treatment Outcome

Humans ; May-Thurner Syndrome ; Coronary Restenosis ; Constriction, Pathologic/surgery* ; Stents/adverse effects* ; Iliac Vein ; Treatment Outcome ; Retrospective Studies

Coronary artery fractional flow reserve (FFR) is a critical physiological indicator for assessment of impaired blood flow caused by coronary artery stenosis. The wire-based invasive measurement of blood flow pressure gradient across stenosis is the gold standard for clinical measurement of FFR. However, it has the risk of vascular injury and requires the use of vasodilators, increasing the time and overall cost of interventional examination. Coronary imaging is playing an important role in clinical diagnosis of stenotic lesions, evaluation of severity of lesions, and planning of therapies. In recent years, the computation of FFR based on the physiological information of blood flow obtained from routinely collected coronary image data has become a research focus in this field. This technique reduces the cost of physiological assessment of coronary lesions and the use of pressure wires. It is beneficial to strengthen the physiological guidance in interventional therapy. In order to better understand this emerging technique, this paper highlights its implementation principle and diagnostic performance, analyzes practical problems and current challenges in clinical applications, and discusses possible future development.
Humans ; Coronary Vessels/diagnostic imaging* ; Fractional Flow Reserve, Myocardial ; Heart ; Constriction, Pathologic ; Coronary Stenosis/diagnostic imaging*

OBJECTIVE: To investigate the value of coronary computed tomographic angiography (CCTA)-based fractional flow reserve (CT-FFR) and plaque quantitative analysis in predicting adverse outcomes in patients with non-obstructive coronary heart disease (CAD). METHODS: Clinical data of patients with non-obstructive CAD who underwent CCTA at the Affiliated Hospital of Jiangnan University from March 2014 to March 2018 were retrospectively analyzed and followed up, and the occurrence of major adverse cardiovascular event (MACE) was recorded. The patients were divided into MACE and non-MACE groups according to the occurrence of MACE. The clinical data, CCTA plaque characteristics including plaque length, stenosis degree, minimum lumen area, total plaque volume, non-calcified plaque volume, calcified plaque volume, plaque burden (PB) and remodelling index (RI), and CT-FFR were compared between the two groups. Multivaritate Cox proportional risk model was used to evaluate the relationship between clinical factors, CCTA parameters and MACE. The receiver operator characteristic curve (ROC curve) was used to assess the predictive power of outcome prediction model based on different CCTA parameters. RESULTS: Finally 217 patients were included, of which 43 (19.8%) had MACE and 174 (80.2%) did not. The median follow-up interval was 24 (16, 30) months. The CCTA showed that patients in the MACE group had more severe stenosis than that in the non-MACE group [(44.3±3.8)% vs. (39.5±2.5)%], larger total plaque volume and non-calcified plaque volume [total plaque volume (mm³): 275.1 (197.1, 376.9), non-calcified plaque volume (mm³): 161.5 (114.5, 307.8) vs. 117.9 (77.7, 185.5)], PB and RI were larger [PB: 50.2% (42.1%, 54.8%) vs. 45.1% (38.2%, 51.7%), RI: 1.19 (0.93, 1.29) vs. 1.03 (0.90, 1.22)], CT-FFR value was lower [0.85 (0.80, 0.88) vs. 0.92 (0.87, 0.97)], and the differences were statistically significant (all P < 0.05). Cox regression analysis showed that non-calcified plaques volume [hazard ratio (HR) = 1.005. 95% confidence interval (95%CI) was 1.025-4.866], PB ≥ 50% (HR = 3.146, 95%CI was 1.443-6.906), RI ≥ 1.10 (HR = 2.223, 95%CI was 1.002-1.009) and CT-FFR ≤ 0.87 (HR = 2.615, 95%CI was 1.016-6.732) were independent predictors of MACE (all P < 0.05). The model based on CCTA stenosis degree+CT-FFR+quantitative plaque characteristics (including non-calcified plaque volume, RI, PB) [area under the ROC curve (AUC) = 0.91, 95%CI was 0.87-0.95] had significantly better predictive efficacy for adverse outcomes than the model based on CCTA stenosis degree (AUC = 0.63, 95%CI was 0.54-0.71) and the model based on CCTA stenosis degree+CT-FFR (AUC = 0.71, 95%CI was 0.63-0.79; both P < 0.01). CONCLUSIONS CT-FFR and plaque quantitative analysis based on CCTA are helpful in predicting adverse outcomes in patients with non-obstructive CAD. Non-calcified plaque volume, RI, PB and CT-FFR are important predictors of MACE. Compared with the prediction model based on stenosis degree and CT-FFR, the combined plaque quantitative index can significantly improve the prediction efficiency of adverse outcomes in patients with non-obstructive CAD.
Humans ; Fractional Flow Reserve, Myocardial ; Coronary Angiography/methods* ; Constriction, Pathologic ; Retrospective Studies ; ROC Curve ; Predictive Value of Tests ; Plaque, Atherosclerotic/diagnostic imaging* ; Coronary Stenosis/diagnostic imaging* ; Tomography, X-Ray Computed ; Coronary Artery Disease/diagnostic imaging*

Objective: This study aimed to investigate the association between epicardial fat volume (EFV) and obstructive coronary artery disease (CAD) with myocardial ischemia, and evaluate the incremental value of EFV on top of traditional risk factors and coronary artery calcium (CAC) in predicting obstructive CAD with myocardial ischemia. Methods: This study was a retrospective cross-sectional study. Patients with suspected CAD who underwent coronary angiography (CAG) and single photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) at the Third Affiliated Hospital of Soochow University from March 2018 to November 2019 were consecutively enrolled. EFV and CAC were measured by non-contrast chest computed tomography (CT) scan. Obstructive CAD was defined as coronary artery stenosis≥50% in at least one of the major epicardial coronary arteries, and myocardial ischemia was defined as reversible perfusion defects in stress and rest MPI. Obstructive CAD with myocardial ischemia was defined in patients with coronary stenosis severity≥50% and reversible perfusion defects in the corresponding areas of SPECT-MPI. Patients with myocardial ischemia bot without obstructive CAD were defined as none-obstructive CAD with myocardial ischemia group. We collected and compared the general clinical data, CAC and EFV between the two groups. Multivariable logistic regression analysis was performed to identify the relationship between EFV and obstructive CAD with myocardial ischemia. ROC curves were performed to determine whether addition of EFV improved predictive value beyond traditional risk factors and CAC for obstructive CAD with myocardial ischemia. Results: Among the 164 patients with suspected CAD, 111 patients were males, and average age was (61.4±9.9) years old. 62 (37.8%) patients were included into the obstructive CAD with myocardial ischemia group. 102 (62.2%) patients were included into the none-obstructive CAD with myocardial ischemia group. EFV was significantly higher in obstructive CAD with myocardial ischemia group than in none-obstructive CAD with myocardial ischemia group ((135.63±33.29)cm³ and (105.18±31.16)cm³, P<0.01). Univariate regression analysis showed the risk of obstructive CAD with myocardial ischemia increased by 1.96 times for each SD increase in EFV(OR 2.96; 95%CI, 1.89-4.62; P<0.01). After adjustment for traditional risk factors and CAC, EFV remained as an independent predictor for obstructive CAD with myocardial ischemia (OR, 4.48, 95%CI, 2.17-9.23; P<0.01). Addition of EFV to CAC and traditional risk factors was related to larger AUC for predicting obstructive CAD with myocardial ischemia (0.90 vs. 0.85, P=0.04, 95%CI: 0.85-0.95) and the global chi-square increased by 21.81 (P<0.05). Conclusions: EFV is an independent predictor for obstructive CAD with myocardial ischemia. Addition of EFV to traditional risk factors and CAC has incremental value for predicting obstructive CAD with myocardial ischemia in this patient cohort.
Male ; Humans ; Middle Aged ; Aged ; Female ; Coronary Artery Disease/diagnostic imaging* ; Cross-Sectional Studies ; Retrospective Studies ; Myocardial Ischemia/diagnostic imaging* ; Coronary Stenosis ; Calcium

Humans ; Sinus of Valsalva ; Death, Sudden, Cardiac/etiology* ; Coronary Stenosis/complications*

OBJECTIVES: To diagnose coronary artery stenosis by using the postmortem computed tomography angiography (PMCTA), and to explore the diagnostic value of PMCTA in sudden cardiac death. METHODS: Six death cases were selected, and the contrast medium iohexol was injected under high pressure through femoral artery approach with 5F pigtail catheter to obtain coronary image data and then the data was analyzed. The results of targeted coronary imaging and coronary artery calcium score (CaS) were compared with the results of conventional autopsy and histopathological examination. RESULTS: The autopsy and histopathological examination of cases with coronary artery stenosis obtained similar results in targeted coronary angiography, with a diagnostic concordance rate of 83.3%. Targeted coronary angiography could effectively show coronary artery diseases, and the CaS was consistent with the results of conventional autopsy and histopathological examination. CONCLUSIONS Targeted coronary angiography can be used as an effective auxiliary method for conventional autopsy in cases of sudden cardiac death.
Humans ; Computed Tomography Angiography/methods* ; Coronary Angiography/methods* ; Coronary Artery Disease/diagnostic imaging* ; Coronary Stenosis/diagnostic imaging* ; Death, Sudden, Cardiac/pathology*

OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the important methods for the treatment of coronary artery disease (CAD). In-sent restenosis (ISR) after PCI for patients suffered from CAD is considered to be an essential factor affecting long-term outcomes and prognosis of this disease. This study aims to investigate the correlation between plasma Quaking (QKI) and cyclooxygenase-2 (COX-2) levels and ISR in patients with CAD. METHODS: A total of 218 consecutive CAD patients who underwent coronary angiography and coronary arterial stenting from September 2019 to September 2020 in the Department of Cardiology of Xiangya Hospital of Central South University were enrolled in this study, and 35 matched individuals from the physical examination center were served as a control group. After admission, clinical data of these 2 groups were collected. Plasma QKI and COX-2 levels were measured by enzyme linked immunosorbent assay (ELISA). Follow-up angiography was performed 12 months after PCI. CAD patients were divided into a NISR group (n=160) and an ISR group (n=58) according to the occurrence of ISR based on the coronary angiography. The clinical data, coronary angiography, and stent features between the NISR group and the ISR group were compared, and multivariate logistic regression was used to explore the factors influencing ISR. The occurrence of major adverse cardiovascular events (MACE) 1 year after operation was recorded. Fifty-eight patients with ISR were divided into an MACE group (n=24) and a non-MACE group (n=34), classified according to the occurrence of MACE, and the plasma levels of QKI and COX-2 were compared between the 2 groups. Receiver operating characteristic (ROC) curves were utilized to analyze the diagnostic value of plamsa levels of QKI and COX-2 for ISR and MACE occurrences in patients after PCI. RESULTS: Compared with control group, plasma levels of QKI and COX-2 in the CAD group decreased significantly (all P<0.001). Compared with the NISR group, the plasma levels of QKI and COX-2 also decreased obviously in the ISR group (all P<0.001), while the levels of high sensitivity C-reactive protein (hs-CRP) and glycosylated hemoglobin (HbAlc) significantly increased (all P<0.001). The level of COX-2 was negatively correlated with hs-CRP (r=-0.385, P=0.003). Multivariate logistic regression analysis showed that high level of plasma QKI and COX-2 were protective factors for in-stent restenosis after PCI, while hs-CRP was a risk factor. ROC curve analysis showed that the sensitivity and specificity of plasma QKI for evaluating the predictive value of ISR were 77.5% and 66.5%, respectively, and the sensitivity and specificity of plasma COX-2 for evaluating the predictive value of ISR were 80.0% and 70.7%, respectively. The sensitivity and specificity of plasma QKI combined with COX-2 for evaluating the predictive value of ISR were 81.3% and 74.1%, respectively. The sensitivity and specificity of plasma QKI for evaluating the prognosis of ISR were 75.0% and 64.7%, respectively. The sensitivity and specificity of plasma COX-2 for evaluating the prognosis of ISR were 75.0% and 70.6%, respectively. The sensitivity and specificity of plasma QKI combined with COX-2 for prognostic evaluation of ISR were 81.7% and 79.4%, respectively. The sensitivity and specificity of plasma COX-2 combined with QKI for evaluating ISR and MACE occurrences in patients after PCI were better than those of COX-2 or QKI alone (P<0.001). CONCLUSIONS High level of plasma QKI and COX-2 might be a protective factor for ISR, which can also predict ISR patient's prognosis.
C-Reactive Protein/analysis* ; Constriction, Pathologic/etiology* ; Coronary Angiography/adverse effects* ; Coronary Artery Disease ; Coronary Restenosis/therapy* ; Cyclooxygenase 2 ; Humans ; Percutaneous Coronary Intervention/adverse effects* ; Risk Factors ; Stents/adverse effects*

Objective: To investigate the diagnostic efficiency and incremental value of quantitative myocardial blood flow measurements by Cadmium-Zine-Telluride (CZT) single photon emission computed tomography (SPECT) dynamic myocardial perfusion imaging (MPI) in patients with coronary artery disease (CAD) compared with traditional semi-quantitative measurements by MPI. Methods: This is a retrospective, cross-sectional study. We retrospectively analyzed clinical data of patients with suspected or known CAD, who underwent the dynamic MPI quantitative blood flow measurement of CZT SPECT in TEDA International Cardiovascular Hospital from October 2018 to December 2020. Clinical data, semi-quantitative parameters (stress score (SS), rest score (RS) and different score (DS)) and myocardial quantitative blood flow parameters (rest myocardial blood flow (rMBF), stress myocardial blood flow (sMBF) and myocardial flow reserve (MFR)) were analyzed. According to the results of coronary angiography, patients were divided into the stenosis group and the control group with coronary artery stenosis ≥50% or ≥75% as the diagnosis criteria. The differences of quantitative and semi-quantitative parameters between the two groups were compared, and the diagnostic efficacy was compared by receiver operating characteristic(ROC) curve. Results: A total of 98 patients with a mean age of (62.1±8.7) years were included in the study, including 66 males (67%). At the patient level, with the positive standard of coronary artery stenosis≥50%, the left ventricle (LV) stress MBF (LV-sMBF) ((1.36±0.45) ml·min^-1·g^-1) and LV-MFR (1.45±0.43) of the stenosis group were lower than the LV-sMBF ((2.09±0.64) ml·min^-1·g^-1) and LV-MFR (2.17±0.54) of control group; summed SS and summed DS were higher than control group (all P<0.05). With the positive standard of coronary artery stenosis ≥75%, the LV-sMBF ((1.19±0.34) ml·min^-1·g^-1) and LV-MFR (1.34±0.35) of stenosis group were lower than the LV-sMBF ((1.94±0.63) ml·min^-1·g^-1) and MFR (2.00±0.58) of control group; all semi-quantitative parameters were higher than control group (all P<0.05). At the vascular level, with coronary artery stenosis ≥50% as the diagnosis criteria, the sMBF ((1.26±0.49) ml·min^-1·g^-1) and MFR (1.35±0.46) of stenosis group were lower than the sMBF ((1.95±0.70) ml·min^-1·g^-1) and MFR (2.05±0.65) of control group; SS and DS were higher than control group (all P<0.05). With coronary artery stenosis≥75% as the diagnosis criteria, the sMBF ((1.12±0.41) ml·min^-1·g^-1) and MFR (1.25±0.38) of stenosis group were lower than the sMBF ((1.84±0.70) ml·min^-1·g^-1) and MFR (1.93±0.66) of control group; all semi-quantitative parameters were higher than control group (all P<0.05). With coronary artery stenosis≥50% as the diagnosis criteria and CAG as the reference standard, the AUC and 95%CI of myocardial quantitative blood flow parameters indicated by ROC curve for diagnosis of CAD were 0.830 (0.783-0.877). The sensitivity (86.1% vs. 61.5%), specificity (82.6% vs. 73.8%), positive predictive value (77.8% vs. 62.5%), negative predictive value (89.3% vs. 73.0%) and accuracy (84.0% vs. 68.7%) were all higher than the semi-quantitative parameters (all P<0.05). With coronary artery stenosis≥75% as the diagnosis criteria, the AUC and 95%CI of myocardial quantitative blood flow parameters indicated by ROC curve for diagnosis of CAD were 0.832(0.785-0.879). The sensitivity (89.2% vs. 67.6%), negative predictive value (95.5% vs. 86.2%) and accuracy (80.6% vs. 68.0%) were all higher than semi-quantitative parameters (all P<0.05). Conclusion: Compared with traditional SPECT MPI derived semi-quantitative parameters, diagnostic efficacy for CAD is higher using CZT SPECT quantitative myocardial blood flow parameters, this strategy thus has additional diagnostic benefits and incremental value on the diagnosis of CAD.
Aged ; Constriction, Pathologic ; Coronary Angiography ; Coronary Artery Disease/diagnostic imaging* ; Coronary Stenosis/diagnostic imaging* ; Cross-Sectional Studies ; Humans ; Male ; Middle Aged ; Myocardial Perfusion Imaging/methods* ; Retrospective Studies ; Tomography, Emission-Computed, Single-Photon/methods*

Humans ; Computed Tomography Angiography ; Deep Learning ; Coronary Angiography ; Coronary Artery Disease ; Tomography, X-Ray Computed ; Coronary Stenosis/diagnosis* ; Retrospective Studies ; Fractional Flow Reserve, Myocardial ; Predictive Value of Tests