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Considering the significant prevalence of silent myocardial ischemia and its related morbidity and mortality in asymptomatic type 2 diabetic patients, it is not well known whether early screening with MPI is cost-effective and predicting factors are not well elucidated. This was a cross-sectional study including 63 asymptomatic patients with type 2 diabetes mellitus (T2DM), with normal ECG and ejection fraction. Patients with any history of documented valvular, congestive or ischemic heart disease, renal or hepatic failure were excluded. At first all patients were interviewed and checked for risk factors and then patients underwent a two-day rest/stress 99mTc-MIBI gated MPI SPECT. Data was assessed by QPS/QGS and 4DM software and evaluated by a nuclear medicine specialist with summed stress score (SSS) of more than 4 defined as CAD. There were 42 females (67%) and 21 males (33%), with a mean age of 61.33 ± 6.98 years and 7.97 ± 4.86 years history of T2DM. CAD was detected in 26 (41.3%) patients and was significantly associated with male gender, smoking and requiring insulin therapy (P-value = 0.019, 0.046, 0.05, respectively). A significant association was found between the duration of diabetes, especially when > 15 years, and the probability of having CAD. Multivariable logistic regression revealed that smoking; male gender and diabetes duration were the strongest independent predictors of abnormal MPI results. We found a high (46%) prevalence of abnormal stress MPI SPECT in patients with type 2 diabetes mellitus, despite being asymptomatic. Asymptomatic patients with a history of smoking, long duration of diabetes, being under insulin treatment and male gender might benefit from MPI for early detection of silent ischemia.

The aim of this study was to employ phase analysis to diagnose left ventricular mechanical dyssynchrony (LVMD) in asymptomatic patients with diabetes mellitus type 2 and normal perfusion study which may help prevent diabetic cardiomyopathy. Ninety-three consecutive patients with known type 2 diabetes and 81 age- and gender- matched patients without diabetes who were candidates for SPECT-MPI were considered as the control group. The presence of LVMD as an possible risk factor for cardiomyopathy- was determined using phase analysis for each scan with quantitative gated SPECT (QGS) and corridor4DM (4DM) software. All outcomes such as phase bandwidth (PBW) and phase standard deviation (PSD) were compared between the two groups. A total of 174 patients were included in the study. There were no statistically significant difference regarding demographic factors between the two groups (P > 0.05). PBW showed statistically significant differences (increased in diabetics) between the control and diabetic patients (P

Introduction; An increase in the average volume of platelets has been associated with poor outcomes in patients with acute coronary syndrome. The aim of this study was to assess the use of myocardial perfusion scans to study the association between MPV and myocardial perfusion abnormalities in patients with and without diabetes mellitus (DM). diabetic and non-diabetic patients.Materials and Methods; This was a cross-sectional study. Forty-nine patients with known type 2 diabetes DM and without obvious cardiovascular symptoms and 49 healthy individuals were included. A myocardial perfusion scan was performed in rest and stress with dipyridamole/dobutamine/exercise testing. Data entered SPSS software and analyzed. A p value below 0.05 was considered as statistically significant.Results; In total, 98 participants including 49 patients with DM and 49 healthy individuals were included. Laboratory variables as well as cardiac scan items including Summed Stress Score (SSS), Summed Rest Score (SRS), Summed Difference Score (SDS), Ejection Fraction (EF) and End Systolic Volume (ESV) were not statistically different in the two groups. Only the average platelet count was higher in controls than diabetics. In regression analysis, by one-unit increase in MPV, the SRS increased by an average of 0.46 (CI; 0.08-0.83 β: 0.46), only in healthy controls.Discussion and Conclusion; MPV is a predictor of myocardial perfusion defects, which could be measured easily for patients in different clinical scenarios as a herald for coronary artery disease, especially in healthy individuals.

In the era of coronavirus disease 2019 (COVID-19) pandemic, many cases may be misdiagnosed based on their semiology, laboratory tests or chest computed tomography (CT) images and further evaluation might be helpful in appropriately selected cases Methods:We are discussing usefulness of fluorodeoxyglucose (FDG) positron emission tomography PET/CT scan in appropriately selected suspicious cases of COVID-19 infection We are discussing two interesting cases on how18F-FDG PET/CT scan might be helpful to avoid COVID-19 infection diagnostic error Both cases had clinical symptoms suggestive for COVID-19 infection with nonspecific chest CT scan findings including lung nodules, ground glass opacities (GGOs), consolidations, and mosaic perfusion patterns This case series was approved by our institutional review board and informed consent obtained from both patients Results: In one case,18F-FDG PET/CT images demonstrated hypermetabolic mostly peripheral GGOs and nodules in both lungs with subsequent evaluation confirming COVID-19 infection The second case demonstrated right perihilar consolidation, not well appreciated on noncontrast chest CT images in addition to GGOs and further evaluation confirmed diagnosis of poorly differentiated squamous cell carcinoma of the lung Conclusion: During COVID-19 pandemic, many cases might be misdiagnosed by either clinicians or radiologists In appropriately selected cases, FDG PET/CT scan may be helpful during COVID-19 outbreak to avoid diagnostic errors © 2020 Biomedical and Biotechnology Research Journal (BBRJ) ;Published by Wolters Kluwer - Medknow

Introduction; the aim of this study was to employ phase analysis to diagnose left ventricular mechanical dyssynchrony (LVMD)in asymptomatic patients with diabetes mellitus type 2 and normal perfusion study to prevent diabetic cardiomyopathy.Methods & materials; Ninety-three consecutive patients with known type 2 diabetes and 81 age- and gender- matched patients without diabetes who were candidates for SPECT-MPI were considered as the control group. The presence of LVMD as an indicator of cardiomyopathy- was determined using phase analysis for each scan with quantitative gated SPECT (QGS) and corridor4DM (4DM) software. All outcomes such as phase bandwidth (PBW) and phase standard deviation (PSD) were compared between the two groups. Results; A total of 174 patients were included in the study. There were no statistically significant difference regarding demographic factors between the two groups (P>0.05). PBW showed statistically significant differences (increased in diabetics) between the control and diabetic patients (P < 0.05). Kruskal Wallis analysis revealed that as the duration of diabetes is prolonged, especially more than 15 years, the probability of LVMD is increased as well (p=0.021). Discussion; Fraction of asymptomatic diabetic patients with normal ejection fraction and gated SPECT MPI-especially those with prolonged diabetes- might have some degrees of LVMD. Phase analysis can detect this which in turn would prevent progress into heart failure.