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Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis
INTRODUCTION: The diagnosis of acute appendicitis (AA) in pregnant women is commonly challenging owing to the normal results of laboratory tests, organ displacement, and normal physiological inflammatory alterations. This meta-analysis aimed to investigate the accuracy of magnetic resonance imaging...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shahid Beheshti University of Medical Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676701/ https://www.ncbi.nlm.nih.gov/pubmed/36426165 http://dx.doi.org/10.22037/aaem.v10i1.1727 |
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author | Motavaselian, Mohsen Bayati, Fateme Amani-Beni, Reza Khalaji, Amirreza Haghverdi, Sara Abdollahi, Zeynab Sarrafzadeh, Arash Rafie Manzelat, Amir-masood Rigi, Amir Arabzadeh Bahri, Razman Nakhaee, Zahra Fadaei, Mahta Ghasemi Falaverjani, Hajar Malekpour-Dehkordi, Sara Hoseinpour, Maryam Bidares, Matin Zandkarimi, Sarvenaz Ahmadi, Rasha Beheshtiparvar, Dorsa Ahadiat, Seyed-Amirabbas Farshi, Mohsen Farrokhi, Mehrdad |
author_facet | Motavaselian, Mohsen Bayati, Fateme Amani-Beni, Reza Khalaji, Amirreza Haghverdi, Sara Abdollahi, Zeynab Sarrafzadeh, Arash Rafie Manzelat, Amir-masood Rigi, Amir Arabzadeh Bahri, Razman Nakhaee, Zahra Fadaei, Mahta Ghasemi Falaverjani, Hajar Malekpour-Dehkordi, Sara Hoseinpour, Maryam Bidares, Matin Zandkarimi, Sarvenaz Ahmadi, Rasha Beheshtiparvar, Dorsa Ahadiat, Seyed-Amirabbas Farshi, Mohsen Farrokhi, Mehrdad |
author_sort | Motavaselian, Mohsen |
collection | PubMed |
description | INTRODUCTION: The diagnosis of acute appendicitis (AA) in pregnant women is commonly challenging owing to the normal results of laboratory tests, organ displacement, and normal physiological inflammatory alterations. This meta-analysis aimed to investigate the accuracy of magnetic resonance imaging (MRI) in diagnosis of AA in pregnant women. METHODS: Two investigators independently performed a comprehensive systematic literature search of electronic databases including MEDLINE, Cochrane Central, EMBASE, Web of Science, Scopus, and Google Scholar to identify studies that reported accuracy of MRI for diagnosis of AA in pregnant women from inception to April 1, 2022. RESULTS: Our systematic search identified a total of 525 published papers. Finally, a total of 26 papers were included in the meta-analysis. The pooled sensitivity and specificity of MRI in diagnosis of AA in pregnant women were 0.92 (95% CI: 0.88–0.95) and 0.98 (95% CI 0.97–0.98), respectively. The pooled positive likelihood ratio and negative likelihood ratio were 29.52 (95% CI: 21.90–39.81) and 0.10 (95% CI: 0.04-0.25), respectively. The area under hierarchical summary receiver operating characteristic (HSROC) curve indicated that the accuracy of MRI for diagnosis of AA in pregnant women is 99%. CONCLUSION: This meta-analysis showed that MRI has high sensitivity, specificity, and accuracy for diagnosis of AA in pregnant women and can be used as a first-line imaging modality for suspected cases of AA during pregnancy. Furthermore, it should be noted that when the result of ultrasonography is inconclusive, the use of MRI can reduce unnecessary appendectomy in pregnant patients. |
format | Online Article Text |
id | pubmed-9676701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Shahid Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-96767012022-11-23 Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis Motavaselian, Mohsen Bayati, Fateme Amani-Beni, Reza Khalaji, Amirreza Haghverdi, Sara Abdollahi, Zeynab Sarrafzadeh, Arash Rafie Manzelat, Amir-masood Rigi, Amir Arabzadeh Bahri, Razman Nakhaee, Zahra Fadaei, Mahta Ghasemi Falaverjani, Hajar Malekpour-Dehkordi, Sara Hoseinpour, Maryam Bidares, Matin Zandkarimi, Sarvenaz Ahmadi, Rasha Beheshtiparvar, Dorsa Ahadiat, Seyed-Amirabbas Farshi, Mohsen Farrokhi, Mehrdad Arch Acad Emerg Med Review Article INTRODUCTION: The diagnosis of acute appendicitis (AA) in pregnant women is commonly challenging owing to the normal results of laboratory tests, organ displacement, and normal physiological inflammatory alterations. This meta-analysis aimed to investigate the accuracy of magnetic resonance imaging (MRI) in diagnosis of AA in pregnant women. METHODS: Two investigators independently performed a comprehensive systematic literature search of electronic databases including MEDLINE, Cochrane Central, EMBASE, Web of Science, Scopus, and Google Scholar to identify studies that reported accuracy of MRI for diagnosis of AA in pregnant women from inception to April 1, 2022. RESULTS: Our systematic search identified a total of 525 published papers. Finally, a total of 26 papers were included in the meta-analysis. The pooled sensitivity and specificity of MRI in diagnosis of AA in pregnant women were 0.92 (95% CI: 0.88–0.95) and 0.98 (95% CI 0.97–0.98), respectively. The pooled positive likelihood ratio and negative likelihood ratio were 29.52 (95% CI: 21.90–39.81) and 0.10 (95% CI: 0.04-0.25), respectively. The area under hierarchical summary receiver operating characteristic (HSROC) curve indicated that the accuracy of MRI for diagnosis of AA in pregnant women is 99%. CONCLUSION: This meta-analysis showed that MRI has high sensitivity, specificity, and accuracy for diagnosis of AA in pregnant women and can be used as a first-line imaging modality for suspected cases of AA during pregnancy. Furthermore, it should be noted that when the result of ultrasonography is inconclusive, the use of MRI can reduce unnecessary appendectomy in pregnant patients. Shahid Beheshti University of Medical Sciences 2022-10-06 /pmc/articles/PMC9676701/ /pubmed/36426165 http://dx.doi.org/10.22037/aaem.v10i1.1727 Text en https://creativecommons.org/licenses/by-nc/3.0/This open-access article distributed under the terms of the Creative Commons Attribution NonCommercial 3.0 License (CC BY-NC 3.0). (https://creativecommons.org/licenses/by-nc/3.0/) |
spellingShingle | Review Article Motavaselian, Mohsen Bayati, Fateme Amani-Beni, Reza Khalaji, Amirreza Haghverdi, Sara Abdollahi, Zeynab Sarrafzadeh, Arash Rafie Manzelat, Amir-masood Rigi, Amir Arabzadeh Bahri, Razman Nakhaee, Zahra Fadaei, Mahta Ghasemi Falaverjani, Hajar Malekpour-Dehkordi, Sara Hoseinpour, Maryam Bidares, Matin Zandkarimi, Sarvenaz Ahmadi, Rasha Beheshtiparvar, Dorsa Ahadiat, Seyed-Amirabbas Farshi, Mohsen Farrokhi, Mehrdad Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis |
title | Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis |
title_full | Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis |
title_fullStr | Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis |
title_full_unstemmed | Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis |
title_short | Diagnostic Performance of Magnetic Resonance Imaging for Detection of Acute Appendicitis in Pregnant Women; a Systematic Review and Meta-Analysis |
title_sort | diagnostic performance of magnetic resonance imaging for detection of acute appendicitis in pregnant women; a systematic review and meta-analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676701/ https://www.ncbi.nlm.nih.gov/pubmed/36426165 http://dx.doi.org/10.22037/aaem.v10i1.1727 |
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