Accuracy of ultrasonography in the assessment of liver fat compared with MRI.

AIM: To investigate the accuracy of ultrasonography in the assessment of hepatic steatosis using magnetic resonance imaging (MRI) as standard of reference and to explore the influence of additional hepatic iron overload. MATERIAL AND METHODS: A total of 2,783 volunteers (1,442 women, 1,341 men; mean age, 52.3±13.8 years) underwent confounder-corrected chemical-shift-encoded MRI of the liver at 1.5 T. Proton-density fat fraction (PDFF) and transverse relaxation rate (R2*) were calculated to estimate hepatic steatosis and liver iron overload, respectively. In addition, the presence of hepatic steatosis was assessed by B-mode ultrasonography. The sensitivity, specificity, and accuracy of hepatic ultrasonography were determined for different degrees of hepatic steatosis and different amounts of liver iron. RESULTS: MRI revealed hepatic steatosis in 40% of participants (n=1,112), which was mild in 68.9% (n=766), moderate in 26.7% (n=297), and severe in 4.4% (n=49) of patients. Ultrasonography detected hepatic steatosis in 37.8% (n=1,052), corresponding to 74.5% sensitivity and 86.6% specificity. The sensitivity of ultrasound increased with the amount of hepatic fat present and was 65.1%, 95%, and 96% for low, moderate, and high fat content; whereas the specificity was constantly high at 86.6%. The diagnostic accuracy of ultrasound for detection of hepatic steatosis did not vary significantly with the amount of liver iron present. CONCLUSION: Ultrasonography is an excellent tool to assess hepatic steatosis in the clinical setting with some limitations in patients with a low liver fat content. The detection of hepatic steatosis by ultrasonography is not influenced by liver iron.

[DRG and OPS-301: effects on the acquisition performance in radiology]. / DRG und OPS-301: Auswirkungen auf die Leistungserfassung in der Radiologie.

Reimbursement for inpatient services rendered based on comparable daily care rates, case-based flat rates, and special fees as practiced until now has been replaced by the system of diagnosis-related groups. Up until 2004, operation and procedure system (OPS 301) codes could be processed completely automatically by appropriate adaptation of the radiology information system (RIS). Because of further differentiation of OPS codes in the 2005 version, it is no longer possible to unambiguously determine OPS codes automatically. Our goal was to fulfill these additional requirements with as little extra effort as possible. In 36 of 2138 procedures during an observation period of 12 days, i.e., 4/day, manual input on the part of the radiology technical assistant and quality assurance by the diagnosing physician were necessary. This is only needed in complicated procedures for which the minor added effort is negligible in comparison to the entire effort expended for the procedure. We were thus able to achieve the goal of near automation of ascertaining OPS codes.