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Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis
BACKGROUND: Identification of causes of dementia soon after symptom onset is important, because appropriate treatment of some causes of dementia can slow or halt its progression or enable symptomatic treatment where appropriate. The accuracy of MRI and CT, and whether MRI is superior to CT, in detec...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3403932/ https://www.ncbi.nlm.nih.gov/pubmed/22672344 http://dx.doi.org/10.1186/1471-2377-12-33 |
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author | Beynon, Rebecca Sterne, Jonathan A C Wilcock, Gordon Likeman, Marcus Harbord, Roger M Astin, Margaret Burke, Margaret Bessell, Alysson Ben-Shlomo, Yoav Hawkins, James Hollingworth, William Whiting, Penny |
author_facet | Beynon, Rebecca Sterne, Jonathan A C Wilcock, Gordon Likeman, Marcus Harbord, Roger M Astin, Margaret Burke, Margaret Bessell, Alysson Ben-Shlomo, Yoav Hawkins, James Hollingworth, William Whiting, Penny |
author_sort | Beynon, Rebecca |
collection | PubMed |
description | BACKGROUND: Identification of causes of dementia soon after symptom onset is important, because appropriate treatment of some causes of dementia can slow or halt its progression or enable symptomatic treatment where appropriate. The accuracy of MRI and CT, and whether MRI is superior to CT, in detecting a vascular component to dementia in autopsy confirmed and clinical cohorts of patients with VaD, combined AD and VaD (“mixed dementia”), and AD remain unclear. We conducted a systematic review and meta-analysis to investigate this question. METHODS: We searched eight databases and screened reference lists to identify studies addressing the review question. We assessed study quality using QUADAS. We estimated summary diagnostic accuracy according to imaging finding, and ratios of diagnostic odds ratios (RDORs) for MRI versus CT and high versus low risk of bias. RESULTS: We included 7 autopsy and 31 non-autopsy studies. There was little evidence that selective patient enrolment and risk of incorporation bias impacted on diagnostic accuracy (p = 0.12 to 0.95). The most widely reported imaging finding was white matter hyperintensities. For CT (11 studies) summary sensitivity and specificity were 71% (95% CI 53%-85%) and 55% (44%-66%). Corresponding figures for MRI (6 studies) were 95% (87%-98%) and 26% (12%-50%). General infarcts was the most specific imaging finding on MRI (96%; 95% CI 94%-97%) and CT (96%; 93%-98%). However, sensitivity was low for both MRI (53%; 36%-70%) and CT (52%; 22% to 80%). No imaging finding had consistently high sensitivity. Based on non-autopsy studies, MRI was more accurate than CT for six of seven imaging findings, but confidence intervals were wide. CONCLUSION: There is insufficient evidence to suggest that MRI is superior to CT with respect to identifying cerebrovascular changes in autopsy-confirmed and clinical cohorts of VaD, AD, and ‘mixed dementia’. |
format | Online Article Text |
id | pubmed-3403932 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34039322012-07-25 Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis Beynon, Rebecca Sterne, Jonathan A C Wilcock, Gordon Likeman, Marcus Harbord, Roger M Astin, Margaret Burke, Margaret Bessell, Alysson Ben-Shlomo, Yoav Hawkins, James Hollingworth, William Whiting, Penny BMC Neurol Research Article BACKGROUND: Identification of causes of dementia soon after symptom onset is important, because appropriate treatment of some causes of dementia can slow or halt its progression or enable symptomatic treatment where appropriate. The accuracy of MRI and CT, and whether MRI is superior to CT, in detecting a vascular component to dementia in autopsy confirmed and clinical cohorts of patients with VaD, combined AD and VaD (“mixed dementia”), and AD remain unclear. We conducted a systematic review and meta-analysis to investigate this question. METHODS: We searched eight databases and screened reference lists to identify studies addressing the review question. We assessed study quality using QUADAS. We estimated summary diagnostic accuracy according to imaging finding, and ratios of diagnostic odds ratios (RDORs) for MRI versus CT and high versus low risk of bias. RESULTS: We included 7 autopsy and 31 non-autopsy studies. There was little evidence that selective patient enrolment and risk of incorporation bias impacted on diagnostic accuracy (p = 0.12 to 0.95). The most widely reported imaging finding was white matter hyperintensities. For CT (11 studies) summary sensitivity and specificity were 71% (95% CI 53%-85%) and 55% (44%-66%). Corresponding figures for MRI (6 studies) were 95% (87%-98%) and 26% (12%-50%). General infarcts was the most specific imaging finding on MRI (96%; 95% CI 94%-97%) and CT (96%; 93%-98%). However, sensitivity was low for both MRI (53%; 36%-70%) and CT (52%; 22% to 80%). No imaging finding had consistently high sensitivity. Based on non-autopsy studies, MRI was more accurate than CT for six of seven imaging findings, but confidence intervals were wide. CONCLUSION: There is insufficient evidence to suggest that MRI is superior to CT with respect to identifying cerebrovascular changes in autopsy-confirmed and clinical cohorts of VaD, AD, and ‘mixed dementia’. BioMed Central 2012-06-06 /pmc/articles/PMC3403932/ /pubmed/22672344 http://dx.doi.org/10.1186/1471-2377-12-33 Text en Copyright ©2012 Beynon et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Beynon, Rebecca Sterne, Jonathan A C Wilcock, Gordon Likeman, Marcus Harbord, Roger M Astin, Margaret Burke, Margaret Bessell, Alysson Ben-Shlomo, Yoav Hawkins, James Hollingworth, William Whiting, Penny Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis |
title | Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis |
title_full | Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis |
title_fullStr | Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis |
title_full_unstemmed | Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis |
title_short | Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis |
title_sort | is mri better than ct for detecting a vascular component to dementia? a systematic review and meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3403932/ https://www.ncbi.nlm.nih.gov/pubmed/22672344 http://dx.doi.org/10.1186/1471-2377-12-33 |
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