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Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis

AIM: To perform a systematic review and meta-analysis for the diagnostic accuracy of in vivo lesion characterization in colonic inflammatory bowel disease (IBD), using optical imaging techniques, including virtual chromoendoscopy (VCE), dye-based chromoendoscopy (DBC), magnification endoscopy and co...

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Autores principales: Lord, Richard, Burr, Nicholas E, Mohammed, Noor, Subramanian, Venkataraman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850135/
https://www.ncbi.nlm.nih.gov/pubmed/29563760
http://dx.doi.org/10.3748/wjg.v24.i10.1167
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author Lord, Richard
Burr, Nicholas E
Mohammed, Noor
Subramanian, Venkataraman
author_facet Lord, Richard
Burr, Nicholas E
Mohammed, Noor
Subramanian, Venkataraman
author_sort Lord, Richard
collection PubMed
description AIM: To perform a systematic review and meta-analysis for the diagnostic accuracy of in vivo lesion characterization in colonic inflammatory bowel disease (IBD), using optical imaging techniques, including virtual chromoendoscopy (VCE), dye-based chromoendoscopy (DBC), magnification endoscopy and confocal laser endomicroscopy (CLE). METHODS: We searched Medline, Embase and the Cochrane library. We performed a bivariate meta-analysis to calculate the pooled estimate sensitivities, specificities, positive and negative likelihood ratios (+LHR, -LHR), diagnostic odds ratios (DOR), and area under the SROC curve (AUSROC) for each technology group. A subgroup analysis was performed to investigate differences in real-time non-magnified Kudo pit patterns (with VCE and DBC) and real-time CLE. RESULTS: We included 22 studies [1491 patients; 4674 polyps, of which 539 (11.5%) were neoplastic]. Real-time CLE had a pooled sensitivity of 91% (95%CI: 66%-98%), specificity of 97% (95%CI: 94%-98%), and an AUSROC of 0.98 (95%CI: 0.97-0.99). Magnification endoscopy had a pooled sensitivity of 90% (95%CI: 77%-96%) and specificity of 87% (95%CI: 81%-91%). VCE had a pooled sensitivity of 86% (95%CI: 62%-95%) and specificity of 87% (95%CI: 72%-95%). DBC had a pooled sensitivity of 67% (95%CI: 44%-84%) and specificity of 86% (95%CI: 72%-94%). CONCLUSION: Real-time CLE is a highly accurate technology for differentiating neoplastic from non-neoplastic lesions in patients with colonic IBD. However, most CLE studies were performed by single expert users within tertiary centres, potentially confounding these results.
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spelling pubmed-58501352018-03-21 Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis Lord, Richard Burr, Nicholas E Mohammed, Noor Subramanian, Venkataraman World J Gastroenterol Meta-Analysis AIM: To perform a systematic review and meta-analysis for the diagnostic accuracy of in vivo lesion characterization in colonic inflammatory bowel disease (IBD), using optical imaging techniques, including virtual chromoendoscopy (VCE), dye-based chromoendoscopy (DBC), magnification endoscopy and confocal laser endomicroscopy (CLE). METHODS: We searched Medline, Embase and the Cochrane library. We performed a bivariate meta-analysis to calculate the pooled estimate sensitivities, specificities, positive and negative likelihood ratios (+LHR, -LHR), diagnostic odds ratios (DOR), and area under the SROC curve (AUSROC) for each technology group. A subgroup analysis was performed to investigate differences in real-time non-magnified Kudo pit patterns (with VCE and DBC) and real-time CLE. RESULTS: We included 22 studies [1491 patients; 4674 polyps, of which 539 (11.5%) were neoplastic]. Real-time CLE had a pooled sensitivity of 91% (95%CI: 66%-98%), specificity of 97% (95%CI: 94%-98%), and an AUSROC of 0.98 (95%CI: 0.97-0.99). Magnification endoscopy had a pooled sensitivity of 90% (95%CI: 77%-96%) and specificity of 87% (95%CI: 81%-91%). VCE had a pooled sensitivity of 86% (95%CI: 62%-95%) and specificity of 87% (95%CI: 72%-95%). DBC had a pooled sensitivity of 67% (95%CI: 44%-84%) and specificity of 86% (95%CI: 72%-94%). CONCLUSION: Real-time CLE is a highly accurate technology for differentiating neoplastic from non-neoplastic lesions in patients with colonic IBD. However, most CLE studies were performed by single expert users within tertiary centres, potentially confounding these results. Baishideng Publishing Group Inc 2018-03-14 2018-03-14 /pmc/articles/PMC5850135/ /pubmed/29563760 http://dx.doi.org/10.3748/wjg.v24.i10.1167 Text en ©The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Meta-Analysis
Lord, Richard
Burr, Nicholas E
Mohammed, Noor
Subramanian, Venkataraman
Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
title Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
title_full Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
title_fullStr Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
title_full_unstemmed Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
title_short Colonic lesion characterization in inflammatory bowel disease: A systematic review and meta-analysis
title_sort colonic lesion characterization in inflammatory bowel disease: a systematic review and meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5850135/
https://www.ncbi.nlm.nih.gov/pubmed/29563760
http://dx.doi.org/10.3748/wjg.v24.i10.1167
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