Evidence map›Paper›PMID 27752510›Full record

ArticleAnnals of clinical and translational neurology2016

Diagnostic utility of ASL-MRI and FDG-PET in the behavioral variant of FTD and AD.

Duygu Tosun, Norbert Schuff, Gil D Rabinovici, Nagehan Ayakta, Bruce L Miller, William Jagust, Joel Kramer, Michael M Weiner, Howard J Rosen

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 10% of its field
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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 62 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 5 institutions in 1 country.

Duygu TosunDepartment of Radiology and Biomedical Imaging University of California San Francisco California.
Norbert SchuffDepartment of Radiology and Biomedical Imaging University of California San Francisco California.
Gil D RabinoviciMemory and Aging Center Department of Neurology University of California San Francisco California.
Nagehan AyaktaMemory and Aging Center Department of Neurology University of California San Francisco California; School of Public Health University of California Berkeley California.
Bruce L MillerMemory and Aging Center Department of Neurology University of California San Francisco California.
William JagustSchool of Public Health University of California Berkeley California.
Joel KramerMemory and Aging Center Department of Neurology University of California San Francisco California.
Michael M WeinerDepartment of Radiology and Biomedical Imaging University of California San Francisco California.
Howard J RosenMemory and Aging Center Department of Neurology University of California San Francisco California.
University of California, San Francisco · USBerkeley Public Health Division · USUniversity Memory and Aging Center · USUniversity of California, Berkeley · USUniversity of California System · US

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MILLER, BRUCE L · 2004 to 2018
$27.1M
The Frontotemporal Lobar Degeneration Neuroimaging InitiativeR01AG032306 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2009 to 2013
$10.0M
Multimodal Imaging in Frontotemporal DegenerationK24AG045333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2013 to 2023
$1.9M
NIA NIH HHS K24 AG045333NIA NIH HHS P01 AG019724NIA NIH HHS P50 AG023501NIA NIH HHS R01 AG032306
6 · The paper itself

Abstract

objectiveTo compare the values of arterial spin-labeled (ASL) MRI and fluorodeoxyglucose (FDG) PET in the diagnosis of behavioral variant of frontotemporal dementia (bvFTD) and Alzheimer's disease (AD).

methodsPartial least squares logistic regression was used to identify voxels with diagnostic value in cerebral blood flow (CBF) and cerebral metabolic rate of glucose (CMRgl) maps from patients with bvFTD (

resultsRegions that differentiated each disorder from controls were similar for CBF and CMRgl. For differentiating AD from CN, the areas under the curve (AUC) for CBF (0.89) and CMRgl (0.91) were similar, with similar sensitivity (CBF: 86%, CMRgl: 78%) and specificity (CBF: 92%, CMRgl: 100%). Likewise, for differentiating bvFTD from CN performances of CBF (AUC = 0.83) and CMRgl (AUC = 0.85) were equivalent, with similar sensitivity (CBF: 78%, CMRgl: 79%) and specificity (CBF: 92%, CMRgl: 100%). In differentiating bvFTD from AD, classification was again similar for CBF (AUC = 0.87) and CMRgl (AUC = 0.79), as were sensitivity (CBF: 83%, CMRgl: 89%) and specificity (CBF: 93%, CMRgl: 78%). None of the differences in any performance measure were statistically significant.

interpretationASL-MRI has similar diagnostic utility as FDG-PET in the diagnosis of AD and bvFTD. Continued development of ASL-MRI as a diagnostic tool for neurodegenerative dementias is warranted.

Identifiers

PMID27752510
PMCPMC5048385
OpenAlexW2517051545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.