Objective To detect the SNR and geometric accuracy of MRI based on American College of Radiology (ACR)standards.Methods The SNR and geometric accuracy of Siemens Skyra 3.0T,Siemens Trio 3.0T and GE Excite HD 1.5T MRI were measured with ACR phantom,and the detection results were calculated according to the standards.Results The SNR values of Siemens Skyra 3.0T,Siemens Trio 3.0T and GE Excite HD 1.5T MRI were 589.98,438.50 and 277.12 respectively.Siemens Skyra 3.0T MRI had the values of geometric accuracy being-1.93％ at X direction,-3.20％ at Y direction and 0.68％ at Z direction,Siemens Trio 3.0T MRI had the value of geometric accuracy being-0.87％ at X direction,-2.33％ at Y direction and 1.49％ at Z direction,GE Excite HD 1.5T MRI had the values of geometric accuracy being 0.20％ at X direction,-1.53％ at Y direction and 1.69％ at Z direction.Conclusion The detection of the SNR and geometric accuracy of MRI can effectively guarantee the image quality.

The association between serum uric acid and the risk of incident diabetes in Chinese adults remains unknown. This study aimed to investigate this association in a community-dwelling population aged ≥ 40 years in Shanghai, China. Oral glucose tole3rance test was conducted during baseline and follow-up visits. Relative risk regression was utilized to examine the associations between baseline gender-specific serum uric acid levels and incident diabetes risk. A total of 613 (10.3%) incident diabetes cases were identified during the follow-up visit after 4.5 years. Fasting plasma glucose, postload glucose, and glycated hemoglobin A1c during the follow-up visit progressively increased across the sex-specific quartiles of serum uric acid (all Ps < 0.05). The incidence rate of diabetes increased across the quartiles of serum uric acid (7.43%, 8.77%, 11.47%, and 13.43%). Multivariate adjusted regression analysis revealed that individuals in the highest quartile had 1.36-fold increased risk of diabetes compared with those in the lowest quartile of serum uric acid (odds ratio (95% confidence interval) = 1.36 (1.06-1.73)). Stratified analysis indicated that the association was only observed in women. Accordingly, serum uric acid was associated with the increased risk of incident diabetes among middle-aged and elderly Chinese women.
Adult ; Aged ; China/epidemiology* ; Diabetes Mellitus/epidemiology* ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Prospective Studies ; Risk Factors ; Uric Acid

OBJECTIVE: To examine the association between serum uric acid levels and cardiovascular disease risk among individuals without diabetes. METHODS: We investigated the association between serum uric acid levels and the risk of prevalent cardiometabolic diseases, 10-year Framingham risk for coronary heart disease, and 10-year risk for atherosclerotic cardiovascular diseases (ASCVD) among 8,252 participants aged ⪖ 40 years without diabetes from Jiading district, Shanghai, China. RESULTS: Body mass index, waist circumference, blood glucose, glycated hemoglobin, blood pressure, and serum lipids increased progressively across the sex-specific quartiles of uric acid (all P trend < 0.05). Compared with individuals in the lowest quartile, those in the higher quartiles had a significantly higher prevalence of obesity, hypertension, and dyslipidemia (all P trend < 0.05). A fully adjusted logistic regression analysis revealed that individuals in the highest quartile had an increased risk of predicted cardiovascular disease compared with those in the lowest quartile of uric acid. The multivariate adjusted odds ratios (ORs) [95% confidence intervals (CIs)] for the highest quartiles for high Framingham risk were 3.00 (2.00-4.50) in men and 2.95 (1.08-8.43) in women. The multivariate adjusted ORs (95% CIs) for the highest quartile for high ASCVD risk were 1.93 (1.17-3.17) in men and 4.53 (2.57-7.98) in women. CONCLUSION Serum uric acid level is associated with an increased risk of prevalent obesity, hypertension, dyslipidemia, 10-year Framingham risk for coronary heart disease, and 10-year risk for ASCVD among Chinese adults without diabetes.
Biomarkers ; blood ; Blood Glucose ; analysis ; Blood Pressure ; Body Mass Index ; China ; Coronary Disease ; blood ; epidemiology ; Cross-Sectional Studies ; Female ; Glycated Hemoglobin A ; analysis ; Humans ; Lipids ; blood ; Male ; Middle Aged ; Predictive Value of Tests ; Prevalence ; Risk Factors ; Sex Factors ; Uric Acid ; blood