Evidence map›Paper›PMID 39362700›Full record

ArticleAJNR. American journal of neuroradiology2024

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 and 2 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jody TanabeFrom 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 jody.tanabe@cuanschutz.edu.ORCID 0000-0002-7110-8444
Maili F LimFrom 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.ORCID 0000-0003-1164-8139
Siddhant DashFrom 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.
Jack PatteeCenter for Innovative Design and Analysis (J.P.), University of Colorado School of Public Health, Aurora, Colorado.ORCID 0000-0003-1480-3157
Brandon Steachicometrix (B.S.), Leuven, Belgium.ORCID 0000-0001-9501-9166
Peter PressmanDepartment of Neurology (P.P., B.M.B.), University of Colorado School of Medicine, Aurora, Colorado.
Brianne M BettcherDepartment of Neurology (P.P., B.M.B.), University of Colorado School of Medicine, Aurora, Colorado.
Justin M HonceFrom 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.ORCID 0000-0003-3799-2624
Valeria A PotigailoFrom 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.ORCID 0000-0001-5309-9655
William ColantoniFrom 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.
David ZanderFrom 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.ORCID 0000-0002-0808-307X
Ashesh A ThakerFrom 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.ORCID 0000-0001-5238-0429

Funding

Investigating the Contribution of Peripheral versus Central Nervous System Immune Dysfunction to Cognitive AgingR01AG058772 · NIA · UNIVERSITY OF COLORADO DENVER · PI BETTCHER, BRIANNE MAGOUIRK · 2019 to 2023
$3.7M
NIA NIH HHS R01 AG058772
6 · The paper itself

Abstract

background and purposeBrain 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

methodsTwenty-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.

resultsThere 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;

conclusionsThe 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.

Indexed as

Alzheimer DiseaseFrontotemporal DementiaMagnetic Resonance ImagingSoftwareAgedAged, 80 and overAtrophyBrainDementiaFemaleHumansMaleMiddle AgedReproducibility of Results

Identifiers

PMID39362700
PMCPMC11543079

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.