Diagnostic performance of unenhanced CT for quantitative assessment of macrovesicular steatosis is not clinically acceptable. Unenhanced CT, however, provides high performance in qualitative diagnosis of macrovesicular steatosis of 30% or greater.

BACKGROUND:The effects of the BRAF V600E mutation on prognostic factors and poor clinical outcomes in papillary thyroid cancer (PTC) have not been fully quantified. The authors performed comprehensive meta-analysis to assess the strength of associations between these conditions and the BRAF V600E mutation. METHODS: The authors identified the clinical studies that examined the association of the BRAF V600E mutation in surgical specimens with clinicopathologic outcomes between January 2003 and October 2010 using the Medline database. One hundred thirty-one relevant studies were hand-searched. The authors selected 27 studies that included 5655 PTC patients. They calculated the pooled odds ratios (ORs) or risk ratios with 95% confidence intervals (CIs) for each study using a random effect model. RESULTS: The average prevalence rate of the BRAF V600E mutation was 49.4%. In 26 studies, compared with the patients who had the wild-type BRAF genes, the PTC patients with the BRAF V600E mutation had increasedORs of an extrathyroidal invasion (OR, 2.14; 95% CI, 1.68-2.73), a lymph node metastasis (OR, 1.54; 95% CI, 1.21-1.97), and an advanced TNM stage (OR, 2.00; 95% CI, 1.61-2.49). In 8 studies, patients with the mutation had 2.14-fold increased risk of recurrent and persistent disease (95% CI, 1.67-2.74). The associations were generally consistent across the different study populations. CONCLUSIONS: This meta-analysis demonstrates that the BRAF V600E mutation is closely related to the high-risk clinicopathological factors and poorer outcome of PTC. The results obtained here suggest that the BRAF V600E mutation should be considered as a poor prognostic marker in PTC and may lead to better management for individual patients.

Meta-analysis of diagnostic test accuracy studies differs from the usual meta-analysis of therapeutic/interventional studies in that, it is required to simultaneously analyze a pair of two outcome measures such as sensitivity and specificity, instead of a single outcome. Since sensitivity and specificity are generally inversely correlated and could be affected by a threshold effect, more sophisticated statistical methods are required for the meta-analysis of diagnostic test accuracy. Hierarchical models including the bivariate model and the hierarchical summary receiver operating characteristic model are increasingly being accepted as standard methods for meta-analysis of diagnostic test accuracy studies. We provide a conceptual review of statistical methods currently used and recommended for meta-analysis of diagnostic test accuracy studies. This article could serve as a methodological reference for those who perform systematic review and meta-analysis of diagnostic test accuracy studies.