MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis

Aim: To assess the associations of age and diagnosis with visual ratings of medial temporal lobe atrophy (MTA), parietal atrophy (PA), global cortical atrophy (GCA), and white matter hyperintensities (WMH) and to investigate their clinical value in a large memory clinic cohort.Methods: We included 2...

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Main Authors: Hanneke F. M. Rhodius-Meester, Marije R. Benedictus, Mike P. Wattjes, Frederik Barkhof, Philip Scheltens, Majon Muller, Wiesje M. van der Flier
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fnagi.2017.00117/full
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author Hanneke F. M. Rhodius-Meester
Marije R. Benedictus
Mike P. Wattjes
Frederik Barkhof
Frederik Barkhof
Philip Scheltens
Majon Muller
Wiesje M. van der Flier
Wiesje M. van der Flier
author_facet Hanneke F. M. Rhodius-Meester
Marije R. Benedictus
Mike P. Wattjes
Frederik Barkhof
Frederik Barkhof
Philip Scheltens
Majon Muller
Wiesje M. van der Flier
Wiesje M. van der Flier
author_sort Hanneke F. M. Rhodius-Meester
collection DOAJ
description Aim: To assess the associations of age and diagnosis with visual ratings of medial temporal lobe atrophy (MTA), parietal atrophy (PA), global cortical atrophy (GCA), and white matter hyperintensities (WMH) and to investigate their clinical value in a large memory clinic cohort.Methods: We included 2,934 patients (age 67 ± 9 years; 1,391 [47%] female; MMSE 24 ± 5) from the Amsterdam Dementia Cohort (1,347 dementia due to Alzheimer's disease [AD]; 681 mild cognitive impairment [MCI]; 906 controls with subjective cognitive decline). We analyzed the effect of age, APOE e4 and diagnosis on visual ratings using linear regression analyses. Subsequently, we compared diagnostic and predictive value in three age-groups (<65 years, 65–75 years, and >75 years).Results: Linear regression analyses showed main effects of age and diagnosis and an interaction age*diagnosis for MTA, PA, and GCA. For MTA the interaction effect indicated steeper age effects in MCI and AD than in controls. PA and GCA increased with age in MCI and controls, while AD patients have a high score, regardless of age. For WMH we found a main effect of age, but not of diagnosis. For MTA, GCA and PA, diagnostic value was best in patients <65 years (optimal cut-off: ≥1). PA and GCA only discriminated in patients <65 years and MTA in patients <75 years. WMH did not discriminate at all. Taking into account APOE did not affect the identified optimal cut-offs. When we used these scales to predict progression in MCI using Cox proportional hazard models, only MTA (cut-off ≥2) had any predictive value, restricted to patients >75 years.Conclusion: Visual ratings of atrophy and WMH were differently affected by age and diagnosis, requiring an age-specific approach in clinical practice. Their diagnostic value seems strongest in younger patients.
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spelling doaj.art-da1d961150014382a9fe53936caf75172022-12-22T02:29:57ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652017-05-01910.3389/fnagi.2017.00117255809MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and DiagnosisHanneke F. M. Rhodius-Meester0Marije R. Benedictus1Mike P. Wattjes2Frederik Barkhof3Frederik Barkhof4Philip Scheltens5Majon Muller6Wiesje M. van der Flier7Wiesje M. van der Flier8Department of Neurology, Alzheimer Center, VU University Medical Centre, Amsterdam NeuroscienceAmsterdam, NetherlandsDepartment of Neurology, Alzheimer Center, VU University Medical Centre, Amsterdam NeuroscienceAmsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam NeuroscienceAmsterdam, NetherlandsDepartment of Radiology and Nuclear Medicine, VU University Medical Centre, Amsterdam NeuroscienceAmsterdam, NetherlandsInstitutes of Neurology and Healthcare Engineering, UCLLondon, UKDepartment of Neurology, Alzheimer Center, VU University Medical Centre, Amsterdam NeuroscienceAmsterdam, NetherlandsDepartment of Internal Medicine, Section Geriatrics, VU University Medical CentreAmsterdam, NetherlandsDepartment of Neurology, Alzheimer Center, VU University Medical Centre, Amsterdam NeuroscienceAmsterdam, NetherlandsDepartment of Epidemiology and Biostatistics, VU University Medical CentreAmsterdam, NetherlandsAim: To assess the associations of age and diagnosis with visual ratings of medial temporal lobe atrophy (MTA), parietal atrophy (PA), global cortical atrophy (GCA), and white matter hyperintensities (WMH) and to investigate their clinical value in a large memory clinic cohort.Methods: We included 2,934 patients (age 67 ± 9 years; 1,391 [47%] female; MMSE 24 ± 5) from the Amsterdam Dementia Cohort (1,347 dementia due to Alzheimer's disease [AD]; 681 mild cognitive impairment [MCI]; 906 controls with subjective cognitive decline). We analyzed the effect of age, APOE e4 and diagnosis on visual ratings using linear regression analyses. Subsequently, we compared diagnostic and predictive value in three age-groups (<65 years, 65–75 years, and >75 years).Results: Linear regression analyses showed main effects of age and diagnosis and an interaction age*diagnosis for MTA, PA, and GCA. For MTA the interaction effect indicated steeper age effects in MCI and AD than in controls. PA and GCA increased with age in MCI and controls, while AD patients have a high score, regardless of age. For WMH we found a main effect of age, but not of diagnosis. For MTA, GCA and PA, diagnostic value was best in patients <65 years (optimal cut-off: ≥1). PA and GCA only discriminated in patients <65 years and MTA in patients <75 years. WMH did not discriminate at all. Taking into account APOE did not affect the identified optimal cut-offs. When we used these scales to predict progression in MCI using Cox proportional hazard models, only MTA (cut-off ≥2) had any predictive value, restricted to patients >75 years.Conclusion: Visual ratings of atrophy and WMH were differently affected by age and diagnosis, requiring an age-specific approach in clinical practice. Their diagnostic value seems strongest in younger patients.http://journal.frontiersin.org/article/10.3389/fnagi.2017.00117/fullAlzheimer's diseasemild cognitive impairment (MCI)MRIprognosisdiagnostic test assessment
spellingShingle Hanneke F. M. Rhodius-Meester
Marije R. Benedictus
Mike P. Wattjes
Frederik Barkhof
Frederik Barkhof
Philip Scheltens
Majon Muller
Wiesje M. van der Flier
Wiesje M. van der Flier
MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis
Frontiers in Aging Neuroscience
Alzheimer's disease
mild cognitive impairment (MCI)
MRI
prognosis
diagnostic test assessment
title MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis
title_full MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis
title_fullStr MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis
title_full_unstemmed MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis
title_short MRI Visual Ratings of Brain Atrophy and White Matter Hyperintensities across the Spectrum of Cognitive Decline Are Differently Affected by Age and Diagnosis
title_sort mri visual ratings of brain atrophy and white matter hyperintensities across the spectrum of cognitive decline are differently affected by age and diagnosis
topic Alzheimer's disease
mild cognitive impairment (MCI)
MRI
prognosis
diagnostic test assessment
url http://journal.frontiersin.org/article/10.3389/fnagi.2017.00117/full
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