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

Research output: Contribution to journalArticleScientificpeer-review

6 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 languageEnglish
Pages (from-to)200-202
JournalNeurodegenerative Diseases
Volume13
Issue number2-3
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

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Alzheimer Disease
Neuropsychological Tests
Apolipoproteins E
Positron-Emission Tomography
Genotype
Magnetic Resonance Imaging
Neuroimaging
Cerebrospinal Fluid
Dementia
Sensitivity and Specificity
Cognitive Dysfunction

Keywords

  • Alzheimer's Disease
  • CSF
  • mild cognitive impairment
  • MRI
  • PET

Cite this

Muñoz-Ruiz, M., Hall, A., Mattila, J., Koikkalainen, J., Herukka, S-K., Vanninen, R., ... Soininen, H. (2014). Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index. Neurodegenerative Diseases, 13(2-3), 200-202. https://doi.org/10.1159/000354074
Muñoz-Ruiz, M. ; Hall, A. ; Mattila, Jussi ; Koikkalainen, Juha ; Herukka, S.-K. ; Vanninen, R. ; Liu, Y. ; Lötjönen, Jyrki ; Soininen, H. / Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index. In: Neurodegenerative Diseases. 2014 ; Vol. 13, No. 2-3. pp. 200-202.
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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.",
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Muñoz-Ruiz, M, Hall, A, Mattila, J, Koikkalainen, J, Herukka, S-K, Vanninen, R, Liu, Y, Lötjönen, J & Soininen, H 2014, 'Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index', Neurodegenerative Diseases, vol. 13, no. 2-3, pp. 200-202. https://doi.org/10.1159/000354074

Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index. / Muñoz-Ruiz, M.; Hall, A.; Mattila, Jussi; Koikkalainen, Juha; Herukka, S.-K.; Vanninen, R.; Liu, Y.; Lötjönen, Jyrki; Soininen, H.

In: Neurodegenerative Diseases, Vol. 13, No. 2-3, 2014, p. 200-202.

Research output: Contribution to journalArticleScientificpeer-review

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

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KW - PET

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M3 - Article

VL - 13

SP - 200

EP - 202

JO - Neurodegenerative Diseases

JF - Neurodegenerative Diseases

SN - 1660-2854

IS - 2-3

ER -

Muñoz-Ruiz M, Hall A, Mattila J, Koikkalainen J, Herukka S-K, Vanninen R et al. Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index. Neurodegenerative Diseases. 2014;13(2-3):200-202. https://doi.org/10.1159/000354074