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Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD

OBJECTIVE: To compare the values of arterial spin‐labeled (ASL) MRI and fluorodeoxyglucose (FDG) PET in the diagnosis of behavioral variant of frontotemporal dementia (bvFTD) and Alzheimer's disease (AD). METHODS: Partial least squares logistic regression was used to identify voxels with diagno...

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Autores principales: Tosun, Duygu, Schuff, Norbert, Rabinovici, Gil D., Ayakta, Nagehan, Miller, Bruce L., Jagust, William, Kramer, Joel, Weiner, Michael M., Rosen, Howard J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048385/
https://www.ncbi.nlm.nih.gov/pubmed/27752510
http://dx.doi.org/10.1002/acn3.330
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author Tosun, Duygu
Schuff, Norbert
Rabinovici, Gil D.
Ayakta, Nagehan
Miller, Bruce L.
Jagust, William
Kramer, Joel
Weiner, Michael M.
Rosen, Howard J.
author_facet Tosun, Duygu
Schuff, Norbert
Rabinovici, Gil D.
Ayakta, Nagehan
Miller, Bruce L.
Jagust, William
Kramer, Joel
Weiner, Michael M.
Rosen, Howard J.
author_sort Tosun, Duygu
collection PubMed
description OBJECTIVE: To compare the values of arterial spin‐labeled (ASL) MRI and fluorodeoxyglucose (FDG) PET in the diagnosis of behavioral variant of frontotemporal dementia (bvFTD) and Alzheimer's disease (AD). METHODS: Partial least squares logistic regression was used to identify voxels with diagnostic value in cerebral blood flow (CBF) and cerebral metabolic rate of glucose (CMRgl) maps from patients with bvFTD (n = 32) and AD (n = 28), who were compared with each other and with cognitively normal controls (CN, n = 15). Diagnostic values of these maps were compared with each other. RESULTS: Regions that differentiated each disorder from controls were similar for CBF and CMRgl. For differentiating AD from CN, the areas under the curve (AUC) for CBF (0.89) and CMRgl (0.91) were similar, with similar sensitivity (CBF: 86%, CMRgl: 78%) and specificity (CBF: 92%, CMRgl: 100%). Likewise, for differentiating bvFTD from CN performances of CBF (AUC = 0.83) and CMRgl (AUC = 0.85) were equivalent, with similar sensitivity (CBF: 78%, CMRgl: 79%) and specificity (CBF: 92%, CMRgl: 100%). In differentiating bvFTD from AD, classification was again similar for CBF (AUC = 0.87) and CMRgl (AUC = 0.79), as were sensitivity (CBF: 83%, CMRgl: 89%) and specificity (CBF: 93%, CMRgl: 78%). None of the differences in any performance measure were statistically significant. INTERPRETATION: ASL‐MRI has similar diagnostic utility as FDG‐PET in the diagnosis of AD and bvFTD. Continued development of ASL‐MRI as a diagnostic tool for neurodegenerative dementias is warranted.
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spelling pubmed-50483852016-10-17 Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD Tosun, Duygu Schuff, Norbert Rabinovici, Gil D. Ayakta, Nagehan Miller, Bruce L. Jagust, William Kramer, Joel Weiner, Michael M. Rosen, Howard J. Ann Clin Transl Neurol Research Articles OBJECTIVE: To compare the values of arterial spin‐labeled (ASL) MRI and fluorodeoxyglucose (FDG) PET in the diagnosis of behavioral variant of frontotemporal dementia (bvFTD) and Alzheimer's disease (AD). METHODS: Partial least squares logistic regression was used to identify voxels with diagnostic value in cerebral blood flow (CBF) and cerebral metabolic rate of glucose (CMRgl) maps from patients with bvFTD (n = 32) and AD (n = 28), who were compared with each other and with cognitively normal controls (CN, n = 15). Diagnostic values of these maps were compared with each other. RESULTS: Regions that differentiated each disorder from controls were similar for CBF and CMRgl. For differentiating AD from CN, the areas under the curve (AUC) for CBF (0.89) and CMRgl (0.91) were similar, with similar sensitivity (CBF: 86%, CMRgl: 78%) and specificity (CBF: 92%, CMRgl: 100%). Likewise, for differentiating bvFTD from CN performances of CBF (AUC = 0.83) and CMRgl (AUC = 0.85) were equivalent, with similar sensitivity (CBF: 78%, CMRgl: 79%) and specificity (CBF: 92%, CMRgl: 100%). In differentiating bvFTD from AD, classification was again similar for CBF (AUC = 0.87) and CMRgl (AUC = 0.79), as were sensitivity (CBF: 83%, CMRgl: 89%) and specificity (CBF: 93%, CMRgl: 78%). None of the differences in any performance measure were statistically significant. INTERPRETATION: ASL‐MRI has similar diagnostic utility as FDG‐PET in the diagnosis of AD and bvFTD. Continued development of ASL‐MRI as a diagnostic tool for neurodegenerative dementias is warranted. John Wiley and Sons Inc. 2016-08-30 /pmc/articles/PMC5048385/ /pubmed/27752510 http://dx.doi.org/10.1002/acn3.330 Text en © 2016 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/3.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Tosun, Duygu
Schuff, Norbert
Rabinovici, Gil D.
Ayakta, Nagehan
Miller, Bruce L.
Jagust, William
Kramer, Joel
Weiner, Michael M.
Rosen, Howard J.
Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD
title Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD
title_full Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD
title_fullStr Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD
title_full_unstemmed Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD
title_short Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD
title_sort diagnostic utility of asl‐mri and fdg‐pet in the behavioral variant of ftd and ad
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048385/
https://www.ncbi.nlm.nih.gov/pubmed/27752510
http://dx.doi.org/10.1002/acn3.330
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