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Research ArticleBrainE
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Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease

K.B. Walhovd, A.M. Fjell, J. Brewer, L.K. McEvoy, C. Fennema-Notestine, D.J. Hagler, R.G. Jennings, D. Karow, A.M. Dale and the Alzheimer's Disease Neuroimaging Initiative
American Journal of Neuroradiology February 2010, 31 (2) 347-354; DOI: https://doi.org/10.3174/ajnr.A1809
K.B. Walhovd
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A.M. Fjell
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J. Brewer
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L.K. McEvoy
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C. Fennema-Notestine
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D.J. Hagler Jr
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R.G. Jennings
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D. Karow
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A.M. Dale
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  • Fig 1.
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    Fig 1.

    The regions of interest used are the following: 1) hippocampus and 2) entorhinal, 3) parahippocampal, 4) retrosplenial, 5) precuneus, 6) inferior parietal, 7) supramarginal, 8) middle temporal, 9) lateral orbitofrontal, and 10) medial orbitofrontal cortices.

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    Fig 2.

    Comparison of ROC curves for using 1 versus a combination of 2 and all 3 variables shown to be unique predictors of NC-versus-AD classification. Yellow is the predicted probability based on hippocampal volume alone (AUC = 0.900, SE = 0.033). Blue is the predicted probability based on hippocampal volume and t-tau/Aβ42 ratio (AUC = 0.950, SE = 0.022). Red is the predicted probability based on hippocampal volume, t-tau/Aβ42 ratio, and retrosplenial cortical thickness (AUC = 0.961, SE = 0.018).

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    Fig 3.

    The regression plots for 2-year change in scores in the MCI group significantly (P < .05) predicted from MR imaging morphometry and PET metabolism variables. A, CDR change predicted from retrosplenial cortical thickness. B and C, MMSE change predicted from retrosplenial cortical metabolism (B) and retrosplenial cortical thickness (C). D, Delayed logical memory change predicted from hippocampal volume.

Tables

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    Table 1:

    Demographic characteristics of the 3 subsamplesa

    NC (n = 42; 16F/26M)MCI (n = 73, 25F/48M)AD (n = 38, 16F/22M)
    MSDRangeMSDRangeMSDRange
    Age75.5(5.4)62.2–84.774.5(7.0)55.5–88.976.2(7.5)58.8–88.1
    Education16.0(3.2)8–2016.0(2.9)8–2014.3(3.6)4–20
    MMSE29.1(1.0)26–3027.0(1.7)24–3023.8(2.0)20–26
    MMSE_c−0.2(1.6)−4–3−1.3(2.8)−13–4−5.2(5.8)−22–4
    CDR0.0(0.0)0–00.5(0.0)0.5–0.50.8(0.3)0.5–1.0
    CDR_c0.2(0.7)−0.5–3.51.2(1.6)−1.5–4.54.0(3.1)0–11
    LM-del12.0(3.6)6–224.1(2.7)0–81.1(2.0)0–8
    LM-del_c1.2(4.1)−10–80(3.3)−6–10−0.7(1.1)−4–1
    • a The numbers refer to baseline data, with the exception of MMSE_c, CDR_c, and LM-del_c, which refer to change across 2 years (baseline score subtracted from score at 2-year follow-up). MMSE and LM-del change scores were available for 36 NC, 51 MCI, and 25 AD subjects. CDR-SB change scores were available for 34 NC, 49 MCI, and 25 AD.

    • View popup
    Table 2:

    Results from logistic regression analyses for each method predicting NC versus AD

    MethodStepMeasureBPOdds Ratio% Corr. Class.R2a
    MRI1Hippocampus−2.306.000.100NC: 83.3.601
    AD: 81.6
    All: 82.5
    2Hippocampus−2.291.000.101NC: 88.1.665
    Retrosplenial cortex−1.202.014..301AD: 78.9
    All: 83.8
    3Hippocampus−1.581.011.206NC: 85.7.714
    Entorhinal cortex−1.314.026.269AD: 84.2
    Retrosplenial cortex−1.230.024.292All: 85.0
    PET1Entorhinal cortex−1.627.000.197NC: 85.7.461
    AD: 73.7
    All: 80.0
    2Entorhinal cortex−2.142.000.117NC: 81.0.506
    Lateral orbitofrontal cortex.675.0481.964AD: 76.3
    All: 78.8
    3Entorhinal cortex−2.094.000.123NC: 88.1.620
    Retrosplenial cortex−1.866.003.155AD: 76.3
    Lateral orbitofrontal cortex1.701.0025.481All: 82.5
    CSF1t-τ:Aβ422.775.00016.036NC: 85.7.523
    AD: 76.3
    All: 81.2
    • a R2 is Nagelkerke R2.

    • View popup
    Table 3:

    Results from the multimodal logistic regression analyses predicting NC versus ADa

    StepMeasureBPOdds Ratio% Corr. ClassR2
    1MRI hippocampus−2.306.000.100NC: 83.3.601
    AD: 81.6
    All: 82.5
    2MRI hippocampus−2.029.000.132NC: 88.1.733
    t-τ:Aβ422.141.0018.509AD: 81.6
    All: 85.0
    3MRI hippocampus−1.861.002.155NC: 90.5.778
    MRI retrosplenial−1.239.028.290AD: 86.8
    t-τ:Aβ422.411.00211.140All: 88.8
    NC vs MCI
    1MR hippocampus−1.360.000.257NC: 54.8.312
    MCI: 80.8
    All: 71.3
    2MR hippocampus−1.124.000.325NC: 64.3.399
    t-τ:Aβ421.422.0064.146MCI: 87.7
    All: 79.1
    • a The variables explaining unique variance within each method, as listed in Table 2, were included in the set of predictor variables, i.e. for MR: hippocampal volume, retrosplenial, and entorhinal thickness; for PET: entorhinal, retrosplenial, and lateral orbitofrontal metabolism; and for CSF: the ratio of T-tau to Abeta 42. R2 is Nagelkerke R2.

    • View popup
    Table 4:

    Correlations between the variables included in the regression models predicting NC/AD classification and the change in CDR-SB (n = 49) and MMSE (n = 51) scores across 2 years in the MCI groupa

    CDR-SB ChangeMMSE ChangeLM-Del Change
    MRI hippocampus−.29.29.41b
    MRI entorhinal−.17.23.34
    MRI retrosplenial−.43b.42b.35
    PET entorhinal−.30.38b.28
    PET retrosplenial−.22.47b.11
    PET lat. orbitofrontal−.02.27−.05
    T-τ:Aβ42.02.08−.23
    • a The variables explaining the unique variance within each method, as listed in Table 2, were included in the set of predictor variables (ie, for MR imaging, hippocampal volume and retrosplenial and entorhinal thickness; for PET, entorhinal, retrosplenial, and lateral orbitofrontal metabolism; and for CSF, the ratio of t-τ:Aβ42).

    • b P < .05, corrected for 7 comparisons.

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American Journal of Neuroradiology: 31 (2)
American Journal of Neuroradiology
Vol. 31, Issue 2
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K.B. Walhovd, A.M. Fjell, J. Brewer, L.K. McEvoy, C. Fennema-Notestine, D.J. Hagler, R.G. Jennings, D. Karow, A.M. Dale, the Alzheimer's Disease Neuroimaging Initiative
Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease
American Journal of Neuroradiology Feb 2010, 31 (2) 347-354; DOI: 10.3174/ajnr.A1809

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Combining MR Imaging, Positron-Emission Tomography, and CSF Biomarkers in the Diagnosis and Prognosis of Alzheimer Disease
K.B. Walhovd, A.M. Fjell, J. Brewer, L.K. McEvoy, C. Fennema-Notestine, D.J. Hagler, R.G. Jennings, D. Karow, A.M. Dale, the Alzheimer's Disease Neuroimaging Initiative
American Journal of Neuroradiology Feb 2010, 31 (2) 347-354; DOI: 10.3174/ajnr.A1809
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