RESUMO
Objective: The objective of this study was to determine the diagnostic value of stress perfusion CMR for the detection of coronary artery disease. Methods: The was a retrospective cross sectional study in which 43 subjects were included from Cardiac MRI unit in the Hayatabad Medical Complex, Peshawar for study from 1st April 2020 to 30th November 2020. All the subjects who had been referred for stress perfusion CMR with suspected CAD were included in the study. Cardiac MRI both at rest and with adenosine stress perfusion was performed which was followed by invasive coronary angiography. Result: A total of 43 patients were enrolled for the detection or exclusion CAD who underwent stress perfusion CMRI and invasive coronary artery angiography. The study revealed strong and statistically significant association between positive stress perfusion CMR and positive coronary angiogram vs negative stress perfusion CMR and negative coronary angiogram (p= value 0.0001). Conclusions: Stress perfusion CMRI can be considered as a first line, relatively safe, noninvasive test with significant accuracy to diagnose coronary artery disease in patients with suspected CAD without subjecting these patients to invasive coronary angiogram.
RESUMO
Coronary artery aneurysms (CAAs) occur when an artery dilates 1.5 times the reference vessel. They occur most commonly because of atherosclerosis. CAAs are a rare phenomenon, and it is even rarer to find a giant CAA, which is roughly defined as a size 400% above the reference vessel. Giant CAAs are commonly found in the right coronary artery. The sinoatrial nodal artery (SNA) is among the least common sites for CAA involvement. Sometimes, communication exists between the aneurysm and a chamber of the heart or a great vessel. The consequences of the fistula depend on its size. Because of the rarity of the condition, guidelines are not well developed. However, small CAAs can be managed conservatively, whereas giant CAAs require resection, ligation, and bypass grafting. CAAs have a predilection for males and the elderly. We describe a 40-year-old South Asian woman presenting with mild dyspnea on exertion of 1 year's duration. Echocardiography showed a 60×60 mm cystic sac, subsequently confirmed by computerized tomography, which showed 3 large aneurysms (70×61 mm) and 3 small aneurysms in the SNA. Coronary angiography illustrated that the SNA branched off the left main coronary artery, and the aneurysm communicated with the right coronary artery. The aneurysm was partially resected and plicated.
RESUMO
Epicardial fat may play an important role in the pathogenesis of coronary artery disease (CAD). We investigated the relationship between coronary artery ectasia (CAE) and epicardial fat volume (EFV). This retrospective study included 506 patients with CAE (group 1), 500 with CAD (group 2), and 500 patients with normal coronaries as controls (group 3). The pericardium was traced manually from the edge of the pulmonary trunk to the last measured by computed tomography slice containing images of the heart to obtain a region of interest. EFV was significantly higher in patients with CAD than in those with CAE (87.94 ± 22.18 vs 61.33 ± 12.75 mL; P < .001). Patients with normal coronaries had EFV of 56.62 ± 9.82 mL. Multivariate logistic regression analysis showed that male gender [Odds ratio (OR) (95% confidence interval (CI)): 1.220 (1.015-1.682), P = .042], diabetes [OR (95% CI): 1.036 (1.008-1.057); P = .002], and smoking [OR (95% CI): 3.043 (1.022-9.462); P = .005] were significantly associated with CAE. The receiver operating characteristic (ROC) curve showed that EFV had strongest diagnostic value for detecting CAD rather than CAE [AUC .502 P = .074 (95% CI: .311-.784)]. This study demonstrated that EFV is an independent predictor for CAE and CAD. However, sensitivity and specificity for detecting CAE is low when compared with CAD.