Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index

M. Muñoz-Ruiz; A. Hall; Jussi Mattila; Juha Koikkalainen; S.-K. Herukka; R. Vanninen; Y. Liu; Jyrki Lötjönen; H. Soininen

doi:10.1159/000354074

Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index

M. Muñoz-Ruiz, A. Hall, Jussi Mattila, Juha Koikkalainen, S.-K. Herukka, R. Vanninen, Y. Liu, Jyrki Lötjönen, H. Soininen

VTT Technical Research Centre of Finland

Research output: Contribution to journal › Article › Scientific › peer-review

9 Citations (Scopus)

Abstract

Background: The Disease State Index (DSI) is a method which interprets data originating from multiple different sources, assisting the clinician in the diagnosis and follow-up of dementia diseases. Objective: We compared the differences in accuracy in differentiating stable mild cognitive impairment (S-MCI) and progressive MCI (P-MCI) obtained from different data combinations using the DSI. Methods: We investigated 212 cases with S-MCI and 165 cases with P-MCI from the Alzheimer's Disease Neuroimaging Initiative cohort. Data from neuropsychological tests, cerebrospinal fluid, apolipoprotein E (APOE) genotype, magnetic resonance imaging (MRI) and positron emission tomography (PET) were included. Results: The combination of all parameters gave the highest accuracy (accuracy 0.70, sensitivity 0.71, specificity 0.68). In the different categories, neuropsychological tests (0.65, 0.65, 0.65) and hippocampal volumetry (0.66, 0.66, 0.66) achieved the highest accuracy. Conclusion: In addition to neuropsychological testing, MRI is recommended to be included for differentiating S-MCI from P-MCI. APOE genotype, CSF and PET may provide some additional information.

Original language	English
Pages (from-to)	200-202
Journal	Neurodegenerative Diseases
Volume	13
Issue number	2-3
DOIs	https://doi.org/10.1159/000354074
Publication status	Published - 2014
MoE publication type	A1 Journal article-refereed

Keywords

Alzheimer's Disease
CSF
mild cognitive impairment
MRI
PET

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10.1159/000354074

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@article{0e835d24c25944a3a27930d218a4c4a1,

title = "Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index",

abstract = "Background: The Disease State Index (DSI) is a method which interprets data originating from multiple different sources, assisting the clinician in the diagnosis and follow-up of dementia diseases. Objective: We compared the differences in accuracy in differentiating stable mild cognitive impairment (S-MCI) and progressive MCI (P-MCI) obtained from different data combinations using the DSI. Methods: We investigated 212 cases with S-MCI and 165 cases with P-MCI from the Alzheimer's Disease Neuroimaging Initiative cohort. Data from neuropsychological tests, cerebrospinal fluid, apolipoprotein E (APOE) genotype, magnetic resonance imaging (MRI) and positron emission tomography (PET) were included. Results: The combination of all parameters gave the highest accuracy (accuracy 0.70, sensitivity 0.71, specificity 0.68). In the different categories, neuropsychological tests (0.65, 0.65, 0.65) and hippocampal volumetry (0.66, 0.66, 0.66) achieved the highest accuracy. Conclusion: In addition to neuropsychological testing, MRI is recommended to be included for differentiating S-MCI from P-MCI. APOE genotype, CSF and PET may provide some additional information.",

keywords = "Alzheimer's Disease, CSF, mild cognitive impairment, MRI, PET",

author = "M. Mu{\~n}oz-Ruiz and A. Hall and Jussi Mattila and Juha Koikkalainen and S.-K. Herukka and R. Vanninen and Y. Liu and Jyrki L{\"o}tj{\"o}nen and H. Soininen",

note = "Project code: 83150 ",

year = "2014",

doi = "10.1159/000354074",

language = "English",

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pages = "200--202",

journal = "Neurodegenerative Diseases",

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number = "2-3",

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TY - JOUR

T1 - Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index

AU - Muñoz-Ruiz, M.

AU - Hall, A.

AU - Mattila, Jussi

AU - Koikkalainen, Juha

AU - Herukka, S.-K.

AU - Vanninen, R.

AU - Liu, Y.

AU - Lötjönen, Jyrki

AU - Soininen, H.

N1 - Project code: 83150

PY - 2014

Y1 - 2014

N2 - Background: The Disease State Index (DSI) is a method which interprets data originating from multiple different sources, assisting the clinician in the diagnosis and follow-up of dementia diseases. Objective: We compared the differences in accuracy in differentiating stable mild cognitive impairment (S-MCI) and progressive MCI (P-MCI) obtained from different data combinations using the DSI. Methods: We investigated 212 cases with S-MCI and 165 cases with P-MCI from the Alzheimer's Disease Neuroimaging Initiative cohort. Data from neuropsychological tests, cerebrospinal fluid, apolipoprotein E (APOE) genotype, magnetic resonance imaging (MRI) and positron emission tomography (PET) were included. Results: The combination of all parameters gave the highest accuracy (accuracy 0.70, sensitivity 0.71, specificity 0.68). In the different categories, neuropsychological tests (0.65, 0.65, 0.65) and hippocampal volumetry (0.66, 0.66, 0.66) achieved the highest accuracy. Conclusion: In addition to neuropsychological testing, MRI is recommended to be included for differentiating S-MCI from P-MCI. APOE genotype, CSF and PET may provide some additional information.

AB - Background: The Disease State Index (DSI) is a method which interprets data originating from multiple different sources, assisting the clinician in the diagnosis and follow-up of dementia diseases. Objective: We compared the differences in accuracy in differentiating stable mild cognitive impairment (S-MCI) and progressive MCI (P-MCI) obtained from different data combinations using the DSI. Methods: We investigated 212 cases with S-MCI and 165 cases with P-MCI from the Alzheimer's Disease Neuroimaging Initiative cohort. Data from neuropsychological tests, cerebrospinal fluid, apolipoprotein E (APOE) genotype, magnetic resonance imaging (MRI) and positron emission tomography (PET) were included. Results: The combination of all parameters gave the highest accuracy (accuracy 0.70, sensitivity 0.71, specificity 0.68). In the different categories, neuropsychological tests (0.65, 0.65, 0.65) and hippocampal volumetry (0.66, 0.66, 0.66) achieved the highest accuracy. Conclusion: In addition to neuropsychological testing, MRI is recommended to be included for differentiating S-MCI from P-MCI. APOE genotype, CSF and PET may provide some additional information.

KW - Alzheimer's Disease

KW - CSF

KW - mild cognitive impairment

KW - MRI

KW - PET

U2 - 10.1159/000354074

DO - 10.1159/000354074

M3 - Article

SN - 1660-2854

VL - 13

SP - 200

EP - 202

JO - Neurodegenerative Diseases

JF - Neurodegenerative Diseases

IS - 2-3

ER -

Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index

Abstract

Keywords

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