Literature DB >> 28595876

A Diagnostic Accuracy Meta-analysis of CT and MRI for the Evaluation of Small Bowel Crohn Disease.

Wenhong Liu1, Jincai Liu2, Wenlian Xiao1, Guanghua Luo1.   

Abstract

RATIONALE AND
OBJECTIVES: This study aimed to evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) and computed tomography (CT) in assessing small bowel (SB) Crohn disease (CD).
MATERIALS AND METHODS: We systematically searched PubMed, Elsevier, ScienceDirect, Karger, Web of Science, Wiley Online Library, and Springer for studies in which CT or MRI were evaluated to assess SB CD. Bivariate random effect meta-analytic methods were used to estimate pooled sensitivity, specificity, and receiver operating characteristic curves. Diagnostic odds ratios (DORs) in a per-patient-based analysis were estimated. The area under the receiver operating characteristic curve was also calculated to measure the diagnostic accuracy.
RESULTS: Twenty-one studies involving 913 patients were included in this meta-analysis. There was no significant difference observed between modalities. The diagnostic performances (lnDOR) for CT and MRI also showed no significant difference. Subgroup analysis was performed for MR imaging (MR enteroclysis, MR enterography, and CT enterography). The diagnostic performances (lnDOR) for MR enteroclysis, MR enterography, and CT enterography did not show a significant difference among them. No significant difference was found between these techniques. Deeks funnel plot asymmetry test for publication bias showed that no significant publication bias was observed in this analysis.
CONCLUSIONS: This meta-analysis suggests that both MRI and CT have high diagnostic accuracy in detecting SB CD. MRI has the potential to be the first-line radiation-free modality for SB CD imaging.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  Crohn disease; magnetic resonance imaging; meta-analysis; small bowel

Mesh:

Year:  2017        PMID: 28595876     DOI: 10.1016/j.acra.2017.04.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  14 in total

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