Cargando…

Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer

OBJECTIVE: To establish the diagnostic accuracy of magnetic resonance imaging (MRI) as an auxiliary means for the diagnosis of oral cancer through a systematic review and meta-analysis. METHODS: An exhaustive search of publications from 1986 to 2016 was performed of Medline, Embase and Cochrane (and...

Descripción completa

Detalles Bibliográficos
Autores principales: Moreira, Marcelo Aldrighi, Lessa, Luiza Silveira, Bortoli, Francieli Regina, Lopes, Abigail, Xavier, Eduardo Picolo, Ceretta, Renan Antonio, Sônego, Fernanda Guglielmi Faustini, Tomasi, Cristiane Damiani, Pires, Patricia Duarte Simões, Ceretta, Luciane Bisognin, Perry, Ingrid Dalira Schweigert, Waleska Simões, Priscyla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443513/
https://www.ncbi.nlm.nih.gov/pubmed/28542622
http://dx.doi.org/10.1371/journal.pone.0177462
_version_ 1783238580301201408
author Moreira, Marcelo Aldrighi
Lessa, Luiza Silveira
Bortoli, Francieli Regina
Lopes, Abigail
Xavier, Eduardo Picolo
Ceretta, Renan Antonio
Sônego, Fernanda Guglielmi Faustini
Tomasi, Cristiane Damiani
Pires, Patricia Duarte Simões
Ceretta, Luciane Bisognin
Perry, Ingrid Dalira Schweigert
Waleska Simões, Priscyla
author_facet Moreira, Marcelo Aldrighi
Lessa, Luiza Silveira
Bortoli, Francieli Regina
Lopes, Abigail
Xavier, Eduardo Picolo
Ceretta, Renan Antonio
Sônego, Fernanda Guglielmi Faustini
Tomasi, Cristiane Damiani
Pires, Patricia Duarte Simões
Ceretta, Luciane Bisognin
Perry, Ingrid Dalira Schweigert
Waleska Simões, Priscyla
author_sort Moreira, Marcelo Aldrighi
collection PubMed
description OBJECTIVE: To establish the diagnostic accuracy of magnetic resonance imaging (MRI) as an auxiliary means for the diagnosis of oral cancer through a systematic review and meta-analysis. METHODS: An exhaustive search of publications from 1986 to 2016 was performed of Medline, Embase and Cochrane (and related databases), including grey literature. Primary diagnostic accuracy studies that assessed oral cancer (target condition) using MRI (index test) were included. Diagnostic threshold, sensitivity and meta-regression analyses were performed. A meta-analysis was performed using Meta-DiSc® v. 1.4 software. RESULTS: A total of 24 primary studies were assessed, comprising 1,403 oral cancer lesions. Nine studies used diffusion-weighted MRI, with a diagnostic odds ratio (DOR) of 30.7 (95% confidence interval [CI]: 12.7–74.3) and area under the curve (AUC) of 0.917 (95% CI: 0.915–0.918); seven studies used dynamic contrast-enhanced MRI, with a DOR of 48.1 (95%CI: 22.4–103.2) and AUC of 0.936 (95% CI: 0.934–0.937); and 13 studies used traditional MRI, with a DOR of 23.9 (95%CI: 13.2–43.3) and AUC of 0.894 (95% CI: 0.894–0.895). Meta-regression analysis indicated that the magnetic field strength may have influenced the heterogeneity of the results obtained (p = 0.0233) using traditional MRI. Sensitivity analysis revealed a discrete reduction of inconsistency in some subgroups. CONCLUSION: The three types of MRI assessed exhibited satisfactory accuracy compared to biopsy. Considering the relevance of early treatment and screening and that better health care results in improved survival rates and quality of life for oral cancer patients, we suggest the use of MRI as a part of the pre-treatment and monitoring protocol at public health services.
format Online
Article
Text
id pubmed-5443513
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-54435132017-06-06 Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer Moreira, Marcelo Aldrighi Lessa, Luiza Silveira Bortoli, Francieli Regina Lopes, Abigail Xavier, Eduardo Picolo Ceretta, Renan Antonio Sônego, Fernanda Guglielmi Faustini Tomasi, Cristiane Damiani Pires, Patricia Duarte Simões Ceretta, Luciane Bisognin Perry, Ingrid Dalira Schweigert Waleska Simões, Priscyla PLoS One Research Article OBJECTIVE: To establish the diagnostic accuracy of magnetic resonance imaging (MRI) as an auxiliary means for the diagnosis of oral cancer through a systematic review and meta-analysis. METHODS: An exhaustive search of publications from 1986 to 2016 was performed of Medline, Embase and Cochrane (and related databases), including grey literature. Primary diagnostic accuracy studies that assessed oral cancer (target condition) using MRI (index test) were included. Diagnostic threshold, sensitivity and meta-regression analyses were performed. A meta-analysis was performed using Meta-DiSc® v. 1.4 software. RESULTS: A total of 24 primary studies were assessed, comprising 1,403 oral cancer lesions. Nine studies used diffusion-weighted MRI, with a diagnostic odds ratio (DOR) of 30.7 (95% confidence interval [CI]: 12.7–74.3) and area under the curve (AUC) of 0.917 (95% CI: 0.915–0.918); seven studies used dynamic contrast-enhanced MRI, with a DOR of 48.1 (95%CI: 22.4–103.2) and AUC of 0.936 (95% CI: 0.934–0.937); and 13 studies used traditional MRI, with a DOR of 23.9 (95%CI: 13.2–43.3) and AUC of 0.894 (95% CI: 0.894–0.895). Meta-regression analysis indicated that the magnetic field strength may have influenced the heterogeneity of the results obtained (p = 0.0233) using traditional MRI. Sensitivity analysis revealed a discrete reduction of inconsistency in some subgroups. CONCLUSION: The three types of MRI assessed exhibited satisfactory accuracy compared to biopsy. Considering the relevance of early treatment and screening and that better health care results in improved survival rates and quality of life for oral cancer patients, we suggest the use of MRI as a part of the pre-treatment and monitoring protocol at public health services. Public Library of Science 2017-05-24 /pmc/articles/PMC5443513/ /pubmed/28542622 http://dx.doi.org/10.1371/journal.pone.0177462 Text en © 2017 Moreira et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Moreira, Marcelo Aldrighi
Lessa, Luiza Silveira
Bortoli, Francieli Regina
Lopes, Abigail
Xavier, Eduardo Picolo
Ceretta, Renan Antonio
Sônego, Fernanda Guglielmi Faustini
Tomasi, Cristiane Damiani
Pires, Patricia Duarte Simões
Ceretta, Luciane Bisognin
Perry, Ingrid Dalira Schweigert
Waleska Simões, Priscyla
Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
title Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
title_full Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
title_fullStr Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
title_full_unstemmed Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
title_short Meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
title_sort meta-analysis of magnetic resonance imaging accuracy for diagnosis of oral cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443513/
https://www.ncbi.nlm.nih.gov/pubmed/28542622
http://dx.doi.org/10.1371/journal.pone.0177462
work_keys_str_mv AT moreiramarceloaldrighi metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT lessaluizasilveira metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT bortolifrancieliregina metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT lopesabigail metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT xaviereduardopicolo metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT cerettarenanantonio metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT sonegofernandaguglielmifaustini metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT tomasicristianedamiani metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT pirespatriciaduartesimoes metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT cerettalucianebisognin metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT perryingriddaliraschweigert metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer
AT waleskasimoespriscyla metaanalysisofmagneticresonanceimagingaccuracyfordiagnosisoforalcancer