• Diagnostic Accuracy of Multidetector CT in Acute Mesenteric Ischemia: Systematic Review and Meta-Analysis

    Radiology:Volume 256: Number 1—July 2010

    Diagnostic Accuracy of Multidetector CT in Acute Mesenteric Ischemia: Systematic Review and Meta-Analysis

    Jan Menke, MD

    Purpose:
    To use meta-analysis to determine the diagnostic accu­racy of contrast agent-enhanced multidetector computed tomography (CT) in primary acute mesenteric ischemia (AMI).

    Materials and methods: The PubMed search engine and five other electronic data­bases were searched for "mesenteric ischemia," "computed tomography," and related terms in articles published be­tween January 1996 and September 2009, without lan­guage restrictions. Reference lists of retrieved articles were also searched. Two reviewers independently selected six studies that reported 2×2 contingency data on the diagnostic accuracy of multidetector CT in primary AMI in at least 10 patients with disease and 10 patients with­out disease and that used surgery or clinical outcome as the reference standard. Study data were independently extracted by the two reviewers, and disagreement was re­solved by consensus. The study quality was assessed by using items from the Quality Assessment of Diagnostic Accuracy Studies tool. The primary 2×2 count data were investigated with a bivariate random-effects meta-analysis of sensitivity and specificity.

    Results: Three studies were prospective, and three were retro­spective. All studies were of high quality. The CT scanners used in the included studies had between four and 40 rows. The between-study heterogeneity was low to mod­erate. Overall, AMI was found in 142 of 619 studied cases. The meta-analysis showed a pooled sensitivity of 93.3% (95% confidence interval: 82.8%, 97.6%) and a pooled specificity of 95.9% (95% confidence interval: 91.2%, 98.2%).

    Conclusion: On the basis of a thorough clinical examination, contrast-enhanced multidetector CT allows the diagnosis of primary AMI with high sensitivity and specificity. Thus, it may be used as the first-line imaging method.