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Article (Scientific journals)
The Entorhinal Cortex Atrophy Score Is Diagnostic and Prognostic in Mild Cognitive Impairment.
Traschütz, Andreas; Enkirch, S Jonas; Polomac, Nenad et al.
2020In Journal of Alzheimer's Disease, 75 (1), p. 99 - 108
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Keywords :
Alzheimer’s disease; entorhinal cortex; magnetic resonance imaging; mild cognitive impairment; Aged; Aged, 80 and over; Atrophy/diagnostic imaging; Atrophy/psychology; Cognitive Dysfunction/diagnostic imaging; Cognitive Dysfunction/psychology; Disease Progression; Entorhinal Cortex/diagnostic imaging; Female; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Neuropsychological Tests; Prognosis; Retrospective Studies; Atrophy; Cognitive Dysfunction; Neuroscience (all); Clinical Psychology; Geriatrics and Gerontology; Psychiatry and Mental Health; General Medicine; General Neuroscience
Abstract :
[en] [en] BACKGROUND: Structural magnetic resonance imaging (MRI) is routinely performed in patients with mild cognitive impairment (MCI), but diagnostic accuracy to detect early cerebral atrophy is limited. OBJECTIVE: To validate the visual entorhinal cortex atrophy (ERICA) rating scale regarding diagnosis, biomarker status, neuropsychological profile, and dementia risk in MCI. METHODS: The ERICA score was retrospectively assessed regarding its discrimination of MCI (n = 80) from subjective cognitive decline and Alzheimer's disease (AD) dementia (n = 60, respectively), its prediction of conversion to dementia (median follow-up 28 months) and amyloid/tau biomarker status, and its association with neuropsychological tests. RESULTS: The ERICA score achieved 97% positive predictive value (PPV) for the presence of MCI. Discrimination between MCI and AD dementia (area under the curve: 0.71) was comparable to volumetry, and superior to the medial temporal lobe atrophy (MTA) score (p = 0.006). The PPV of the ERICA score for conversion to dementia was 83%, equivalent to tau status. It achieved 90% PPV for conversion when combined with tau, and 100% negative predictive value with verbal recall. While no measure predicted the predominantly positive amyloid status, the ERICA score was at least comparable to volumetry, and superior to the MTA score in predicting tau positivity (92% PPV for phospho-tau). The ERICA score was associated with verbal learning and memory, and, unlike the MTA score, also with AD-specific deficits in cued verbal recall. CONCLUSION: The ERICA score is a simple and valuable tool to exploit structural MRI for diagnosis and prognosis in MCI and is non-inferior to volumetry.
Disciplines :
Neurology
Author, co-author :
Traschütz, Andreas;  Department of Neurology, University Hospital of Bonn, Bonn, Germany ; Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany
Enkirch, S Jonas;  Department of Radiology, University Hospital of Bonn, Bonn, Germany
Polomac, Nenad;  Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
Widmann, Catherine N;  Department of Neurodegenerative Diseases and Gerontopsychiatry/Neurology, University Hospital of Bonn, Bonn, Germany
Schild, Hans H;  Department of Radiology, University Hospital of Bonn, Bonn, Germany
HENEKA, Michael  ;  Department of Neurodegenerative Diseases and Gerontopsychiatry/Neurology, University Hospital of Bonn, Bonn, Germany ; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Hattingen, Elke;  Department of Radiology, University Hospital of Bonn, Bonn, Germany ; Institute of Neuroradiology, Goethe University Frankfurt, Frankfurt, Germany
External co-authors :
yes
Language :
English
Title :
The Entorhinal Cortex Atrophy Score Is Diagnostic and Prognostic in Mild Cognitive Impairment.
Publication date :
2020
Journal title :
Journal of Alzheimer's Disease
ISSN :
1387-2877
eISSN :
1875-8908
Publisher :
IOS Press BV, Netherlands
Volume :
75
Issue :
1
Pages :
99 - 108
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
A.T. was supported by the Else Kröner Research Foundation, and receives funding from the University of Tübingen, medical faculty, for the Clinician Scientist Program Grant #439–0–0.
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since 07 May 2024

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