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

Research ArticleNeurodegenerative Disorder Imaging

Automated Volumetric Software in Dementia: Help or Hindrance to the Neuroradiologist?

Jody Tanabe, Maili F. Lim, Siddhant Dash, Jack Pattee, Brandon Steach, Peter Pressman, Brianne M. Bettcher, Justin M. Honce, Valeria A. Potigailo, William Colantoni, David Zander and Ashesh A. Thaker
American Journal of Neuroradiology November 2024, 45 (11) 1737-1744; DOI: https://doi.org/10.3174/ajnr.A8406
Jody Tanabe
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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  • ORCID record for Jody Tanabe
Maili F. Lim
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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Siddhant Dash
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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Jack Pattee
cCenter for Innovative Design and Analysis (J.P.), University of Colorado School of Public Health, Aurora, Colorado
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Brandon Steach
dicometrix (B.S.), Leuven, Belgium
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Peter Pressman
bDepartment of Neurology (P.P., B.M.B.), University of Colorado School of Medicine, Aurora, Colorado
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Brianne M. Bettcher
bDepartment of Neurology (P.P., B.M.B.), University of Colorado School of Medicine, Aurora, Colorado
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Justin M. Honce
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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Valeria A. Potigailo
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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William Colantoni
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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David Zander
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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Ashesh A. Thaker
aFrom the Department of Radiology (J.T., M.F.L., S.D., J.M.H., V.A.P., W.C., D.Z., A.A.T.), University of Colorado School of Medicine, Aurora, Colorado
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Abstract

BACKGROUND AND PURPOSE: Brain atrophy occurs in the late stage of dementia, yet structural MRI is widely used in the work-up. Atrophy patterns can suggest a diagnosis of Alzheimer disease (AD) or frontotemporal dementia (FTD) but are difficult to assess visually. We hypothesized that the availability of a quantitative volumetric brain MRI report would increase neuroradiologists’ accuracy in diagnosing AD, FTD, or healthy controls compared with visual assessment.

MATERIALS AND METHODS: Twenty-two patients with AD, 17 with FTD, and 21 cognitively healthy patients were identified from the electronic health systems record and a behavioral neurology clinic. Four neuroradiologists evaluated T1-weighted anatomic MRI studies with and without a volumetric report. Outcome measures were the proportion of correct diagnoses of neurodegenerative disease versus normal aging (“rough accuracy”) and AD versus FTD (“exact accuracy”). Generalized linear mixed models were fit to assess whether the use of a volumetric report was associated with higher accuracy, accounting for random effects of within-rater and within-subject variability. Post hoc within-group analysis was performed with multiple comparisons correction. Residualized volumes were tested for an association with the diagnosis using ANOVA.

RESULTS: There was no statistically significant effect of the report on overall correct diagnoses. The proportion of “exact” correct diagnoses was higher with the report versus without the report for AD (0.52 versus 0.38) and FTD (0.49 versus 0.32) and lower for cognitively healthy (0.75 versus 0.89). The proportion of “rough” correct diagnoses of neurodegenerative disease was higher with the report than without the report within the AD group (0.59 versus 0.41), and it was similar within the FTD group (0.66 versus 0.63). Post hoc within-group analysis suggested that the report increased the accuracy in AD (OR = 2.77) and decreased the accuracy in cognitively healthy (OR = 0.25). Residualized hippocampal volumes were smaller in AD (mean difference −1.8; multiple comparisons correction, −2.8 to −0.8; P < .001) and FTD (mean difference −1.2; multiple comparisons correction, −2.2 to −0.1; P = .02) compared with cognitively healthy.

CONCLUSIONS: The availability of a brain volumetric report did not improve neuroradiologists’ accuracy over visual assessment in diagnosing AD or FTD in this limited sample. Post hoc analysis suggested that the report may have biased readers incorrectly toward a diagnosis of neurodegeneration in cognitively healthy adults.

ABBREVIATIONS:

AD
Alzheimer disease
CN
cognitively healthy
FTD
frontotemporal dementia
  • © 2024 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 45 (11)
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Cite this article
Jody Tanabe, Maili F. Lim, Siddhant Dash, Jack Pattee, Brandon Steach, Peter Pressman, Brianne M. Bettcher, Justin M. Honce, Valeria A. Potigailo, William Colantoni, David Zander, Ashesh A. Thaker
Automated Volumetric Software in Dementia: Help or Hindrance to the Neuroradiologist?
American Journal of Neuroradiology Nov 2024, 45 (11) 1737-1744; DOI: 10.3174/ajnr.A8406

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Automated Volumetric Software in Dementia
Jody Tanabe, Maili F. Lim, Siddhant Dash, Jack Pattee, Brandon Steach, Peter Pressman, Brianne M. Bettcher, Justin M. Honce, Valeria A. Potigailo, William Colantoni, David Zander, Ashesh A. Thaker
American Journal of Neuroradiology Nov 2024, 45 (11) 1737-1744; DOI: 10.3174/ajnr.A8406
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