Visceral Fat as a Useful Parameter in the Differential Diagnosis of Crohn's Disease and Intestinal Tuberculosis

Background/AimsBecause of the similarities in the clinical presentations of Crohn's disease (CD) and intestinal tuberculosis (ITB), differential diagnosis is critical. Mesenteric adipose tissue hypertrophy and creeping fat are characteristic features of CD. The purpose of this study was to assess the usefulness of visceral fat for the differential diagnosis of CD and ITB.MethodsWe conducted a retrospective review of 50 patients with findings of CD or ITB between January 2005 and July 2008. Abdominal computed tomography (CT) was performed on all subjects during their first evaluation. The abdominal fat area was assessed using quantitative abdominal CT.ResultsThe ratio of visceral fat to total fat (VF/TF) was significantly higher in male CD patients than in male ITB patients. The ratio of visceral fat to subcutaneous fat (VF/SF) was also higher in CD patients than in patients with ITB. For a VF/TF cut-off value of 0.46, the sensitivity and specificity for the diagnosis of CD were 42.1% and 93.3% respectively, with positive and negative predictive values of 88.9% and 56.0%, respectively.ConclusionMeasurement of the abdominal fat area using CT can be clinically useful for the differential diagnosis of CD and ITB

A comparison of ASOS near-surface winds and WSR-88D-derived wind speed profiles measured in landfalling tropical cyclones

A set of velocity-azimuth display (VAD) wind speed profiles derived from coastal Weather Surveillance Radar-1988 Doppler (WSR-88D) systems was paired with Automated Surface Observing System (ASOS) 10-m standardized mean and nonstandardized gust wind speeds measured within 10 km of nearby WSR-88Ds. The goal was to formulate an appropriate methodology and empirical relationships to estimate overland near-surface wind conditions in landfalling tropical cyclones (TCs) using VAD tropical cyclone boundary layer (TCBL) lower-tropospheric wind measurements. A total of 17 TCs and seven ASOS/WSR-88D sites were used to construct a unique comparative dataset. Four estimation methods including the log and power laws, mean and gust wind speed ratio (WSR) methods, and curve fitting with linear regression and polynomial fits were evaluated. Results from the evaluation show that WSR-88D site-specific linear regression equations using a VAD 0-200-m layer average wind speed and nonzero intercepts provided the most accurate predictions of the ASOS 10-m standardized mean wind speed. Results also show that a non-site-specific linear regression model using a VAD 0-500-m mean boundary layer (MBL) wind speed and nonzero intercept is 1.07% more accurate than using a single-gust WSR to predict ASOS 10-m nonstandardized gust wind speeds. Only 2.15% of the ASOS 10-m nonstandardized maximum 3-s gust wind speeds were found to exceed the VAD 0-500-m MBL wind speed, indicating that the VAD 0-500-m MBL wind speed represents a viable source of momentum available for transport to the surface in the form of a gust