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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain

Aging and the Brain: A Quantitative Study of Clinical CT Images

K.A. Cauley, Y. Hu and S.W. Fielden
American Journal of Neuroradiology May 2020, 41 (5) 809-814; DOI: https://doi.org/10.3174/ajnr.A6510
K.A. Cauley
aFrom the Department of Radiology (K.A.C., S.W.F.), Geisinger Medical Center, Danville Pennsylvania
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Y. Hu
cDepartment of Imaging Science and Innovation (Y.H.), Geisinger Medical Center, Danville Pennyslvania. Dr Cauley is currently affiliated with Virtual Radiologic, Eden Prairie, Minnesota.
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S.W. Fielden
aFrom the Department of Radiology (K.A.C., S.W.F.), Geisinger Medical Center, Danville Pennsylvania
bDepartment of Imaging Science and Innovation (S.W.F.), Geisinger Health System, Lewisburg, Pannsylvania
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    Fig 1.

    Brain extraction and CSF segmentation. A, Raw head CT image. B, Brain extracted image; volume = TIV (total intracranial volume). C, Thresholded to identify CSF. BPF = TIV–CSF volume/TIV.

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    Fig 2.

    A, Brain volume as a function of age and sex. B, Brain parenchymal fraction as a function of age and sex. C, Bar chart of brain volume with decade age grouping, with SDs. Gray bars indicate men; white bars, women. D, Bar chart of BPF with decade age grouping, with SDs. Gray bars indicate men; white bars, women.

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    Fig 3.

    A, Brain parenchymal radiodensity as a function of age and sex. B, Estimated brain radiomass (volume × radiodensity) as a function of age and sex.

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    Fig 4.

    Quantile regression of brain parenchymal fraction. Scatterplot of BPF as a function of age for female patients (A) and male patients (B). Quantile regression lines are drawn by polynomial curve fitting with 5th and 95th percentile as dashed lines, and 10th and 90th percentile as dotted lines. Polynomial coefficients are shown in Table 1.

Tables

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  • Coefficients of polynomial regression models

    OverallMen (0.05-Tile)Men (0.95-Tile)Women (0.05-Tile)Women (0.95-Tile)
    Intercept0.868.32E-019.12E-018.11E-019.54E-01
    Age–0.584.74E-03–4.91E-055.21E-03–3.13E-03
    Age2–0.13–1.32E-043.21E-06–1.19E-046.37E-05
    Age30.047.63E-07–1.15E-075.88E-07–4.72E-07
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American Journal of Neuroradiology: 41 (5)
American Journal of Neuroradiology
Vol. 41, Issue 5
1 May 2020
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Cite this article
K.A. Cauley, Y. Hu, S.W. Fielden
Aging and the Brain: A Quantitative Study of Clinical CT Images
American Journal of Neuroradiology May 2020, 41 (5) 809-814; DOI: 10.3174/ajnr.A6510

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Aging and the Brain: A Quantitative Study of Clinical CT Images
K.A. Cauley, Y. Hu, S.W. Fielden
American Journal of Neuroradiology May 2020, 41 (5) 809-814; DOI: 10.3174/ajnr.A6510
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