AIMTo build a diagnostic non-invasive model for screening of large varices in cirrhotic hepatitis C virus (HCV) patients. METHODSThis study was conducted on 124 post-HCV cirrhotic patients presenting to the clinics of the Endemic Medicine Department at Mansoura University Hospital for evaluation before HCV antiviral therapy: 78 were Child A and 46 were Child B (score ≤ 8). Inclusion criteria for patients enrolled in this study was presence of cirrhotic HCV (diagnosed by either biopsy or fulfillment of clinical basis). Exclusion criteria consisted of patients with other etiologies of liver cirrhosis, e.g. , hepatitis B virus and patients with high MELD score on transplant list. All patients were subjected to full medical record, full basic investigations, endoscopy, and computed tomography (FIB-4), aminotransferase-to-platelet ratio index (APRI), and platelet count/splenic diameter ratio (PC/SD) were also calculated. RESULTSDetection of large varies is a multi-factorial process, affected by many variables. Choosing binary logistic regression, dependent factors were either large or small varices while independent factors included CT variables such coronary vein diameter, portal vein (PV) diameter, lieno-renal shunt and other laboratory noninvasive variables namely FIB-4, APRI, and platelet count/splenic diameter. Receiver operating characteristic (ROC) curve was plotted to determine the accuracy of non-invasive parameters for predicting the presence of large esophageal varices and the area under the ROC curve for each one of these parameters was obtained. A model was established and the best model for prediction of large risky esophageal varices used both PC/SD and PV diameter (75% accuracy), while the logistic model equation was shown to be (PV diameter × -0.256) plus (PC/SD × -0.006) plus (8.155). Values nearing 2 or more denote large varices. CONCLUSIONThis model equation has 86.9% sensitivity and 57.1% specificity, and would be of clinical applicability with 75% accuracy.

In vivo administration of GH enhanced in vitro maturation and fertilization of human GV oocytes retrieved from small antral follicles.

We concluded that ADC value is a new promising quantitative imaging parameter that can be used for the detection of brain abnormalities in patients with Gaucher's disease type II and type III and has a correlation with genotyping.

Objectives Diabetic nephropathy is a serious and a common complication of diabetes that can lead to end stage renal disease among children living with type 1 diabetes, thus an early and accurate method of diagnosis that allows timely intervention is of high importance. This study aimed to evaluate the role of magnetic resonance diffusion weighted imaging in diagnosis of diabetic nephropathy in children with type 1 diabetes. Methods This prospective, observational, case control study included 30 children with type 1 diabetes and 30 matched healthy controls attending the outpatient clinics in Mansoura University Children’s Hospital. All were subjected to magnetic resonance DWI of the renal parenchyma and their glomerular filtration rate (GFR) was estimated, along with micro albumin in 24 h urine collection and HbA1c in patients with diabetes. Results Children with diabetes who were positive for microalbuminuria had significantly lower apparent diffusion coefficient value compared to Children with diabetes who were negative for microalbuminuria (p = 0.034) as well as controls (p = 0.001). Among children with type 1 diabetes, apparent diffusion coefficient had significant positive correlation with estimated glomerular filtration rate (r = 0.491, p = 0.006) and negative correlation with microalbuminuria (r = −0.437, p = 0.016). Conclusion Magnetic resonance DWI of the renal parenchyma is correlated with estimated glomerular filtration rate (eGFR) in children with type 1 diabetes and can detect GFR deterioration even in presence of normal albumin excretion.

Objective: The purpose of this study was to determine the prevalence of nonalcoholic fatty liver disease in a group of chronic obstructive pulmonary disease patients. MATERIAL AND METHODS: This study comprised 48 stable chronic obstructive pulmonary disease patients who were diagnosed and categorized using the Global Initiative for Chronic Obstructive Lung Disease 2017 criteria. The prevalence of nonalcoholic fatty liver disease in chronic obstructive pulmonary disease patients was determined using noninvasive biomarkers and imaging methods. Steatosis was detected using magnetic resonance mDIXON-Quant sequence imaging, while fibrosis was detected using the acoustic radiation force impulse and FIB-4 index. Results: A total of 58.3% of the patients investigated had a fat level of 5%, and nearly a quarter of them had a fat content of 10% or more, and 45.8% of the patients studied had severe hepatic fibrosis. The Fibrosis-4 (FIB-4) index revealed advanced fibrosis in 18.75% of them. No statistically significant association was found between chronic obstructive pulmonary disease groups of studied patients and the presence of steatosis and fibrosis (≥F2) using acoustic radiation force impulse. The presence of fibrosis, however, was statistically significant linked with chronic obstructive pulmonary disease groups of examined patients using the FIB-4 index. γ-Glutamyl transferase and alkaline phosphatase levels were greater in Global Initiative for Chronic Obstructive Lung Disease 3/4 and C/D groups. Conclusion: Nonalcoholic fatty liver disease is a common comorbidity in chronic obstructive pulmonary disease and should be included in the list of chronic obstructive pulmonary disease comorbidities.