Diagnostic accuracy of magnetic resonance imaging for acute appendicitis during pregnancy: A systematic review [Ulus Travma Acil Cerrahi Derg]
Ulus Travma Acil Cerrahi Derg. Ahead of Print: UTD-02416 | DOI: 10.14744/tjtes.2020.02416  

Diagnostic accuracy of magnetic resonance imaging for acute appendicitis during pregnancy: A systematic review

Sung Uk Cho, Se Kwang Oh
Department of Emergency Medicine, Chungnam national University Hospital, korea

Purpose: The purpose of this study was to present a systematic review and meta-analysis of the diagnostic accuracy of MRI in the diagnosis of acute appendicitis in pregnant women.
Methods: A literature search was conducted using databases on PubMed, Ovid MEDLINE, EMBASE, and the Cochrane Library. The inclusion criteria included use of MRI as a diagnostic protocol for acute appendicitis in pregnant women and the availability of diagnostic parameters, such as sensitivity and specificity. For each selected study, basic demographic information and measures of diagnostic accuracy, such as sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were extracted. Forest plots and summary receiver operating characteristic curves (SROC) were also obtained for diagnostic accuracy of MRI for acute appendicitis during pregnancy.
Results: A total of 22 studies and 2,392 patients were retrospectively enrolled for this analysis. Most of the included studies had high sensitivity, with the exception a few cases, which had sensitivities of 0.18, 0.5, and 0.6. With respect to specificity, most results were close to 1.0, and the lowest result was 0.92. Summary receiver operating characteristic (SROC) curves showed high levels of accuracy as evidenced by an AUC of 0.9922.
Conclusions: MRI showed overall high accuracy for diagnosing acute appendicitis in pregnant women. MRI is a good diagnostic tool as a first-line imaging method for suspected appendicitis in pregnant women.

Keywords: Appendicitis, Pregnancy, Magnetic Resonance Imaging, Systematic review




Corresponding Author: Se Kwang Oh, South Korea


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