Evidence map›Paper›PMID 34697009›Full record

ArticleNeuroImage. Clinical2022

Sensitivity of Arterial Spin Labeling for Characterization of Longitudinal Perfusion Changes in Frontotemporal Dementia and Related Disorders.

Tracy Ssali, Udunna C Anazodo, Lucas Narciso, Linshan Liu, Sarah Jesso, Lauryn Richardson, Matthias Günther, Simon Konstandin, Klaus Eickel, Frank Prato and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 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

12 authors at 5 institutions in 2 countries.

Tracy SsaliLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada. Electronic address: tssali@uwo.ca.
Udunna C AnazodoLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada.
Lucas NarcisoLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada.
Linshan LiuLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada.
Sarah JessoLawson Health Research Institute, London, Canada; St. Joseph's Health Care, London, Canada.
Lauryn RichardsonLawson Health Research Institute, London, Canada; St. Joseph's Health Care, London, Canada.
Matthias GüntherFraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany; University Bremen, Bremen, Germany.
Simon KonstandinFraunhofer Institute for Medical Image Computing MEVIS, Bremen, Germany; Mediri GmbH, Heidelberg, Germany.
Klaus EickelMediri GmbH, Heidelberg, Germany.
Frank PratoLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada.
Elizabeth FingerLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada; Department of Clinical Neurological Sciences, Western University, London, Canada.
Keith St LawrenceLawson Health Research Institute, London, Canada; Department of Medical Biophysics, Western University, London, Canada.
Western University · CALawson Health Research Institute · CAMediri (Germany) · DESt Joseph's Health Care · CAFraunhofer Institute for Digital Medicine · DE

Funding

CIHR 148600CIHR 157872
6 · The paper itself

Abstract

backgroundAdvances in the understanding of the pathophysiology of frontotemporal dementia (FTD) and related disorders, along with the development of novel candidate disease modifying treatments, have stimulated the need for tools to assess the efficacy of new therapies. While perfusion imaging by arterial spin labeling (ASL) is an attractive approach for longitudinal imaging biomarkers of neurodegeneration, sources of variability between sessions including arterial transit times (ATT) and fluctuations in resting perfusion can reduce its sensitivity. Establishing the magnitude of perfusion changes that can be reliably detected is necessary to delineate longitudinal perfusion changes related to disease processes from the effects of these sources of error. PURPOSE: To assess the feasibility of ASL for longitudinal monitoring of patients with FTD by quantifying between-session variability of perfusion on a voxel-by-voxel basis. METHODS AND MATERIALS: ASL data were collected in 13 healthy controls and 8 patients with FTD or progressive supra-nuclear palsy. Variability in cerebral blood flow (CBF) by single delay pseudo-continuous ASL (SD-pCASL) acquired one month apart were quantified by the coefficient of variation (CV) and intraclass correlation coefficient (ICC). Additionally, CBF by SD-pCASL and ATT by low-resolution multiple inversion time ASL (LowRes-pCASL) were compared to Hadamard encoded sequences which are able to simultaneously measure CBF and ATT with improved time-efficiency.

resultsAgreement of grey-matter perfusion between sessions was found for both patients and controls (CV = 10.8% and 8.3% respectively) with good reliability for both groups (ICC > 0.6). Intensity normalization to remove day-to-day fluctuations in resting perfusion reduced the CV by 28%. Less than 5% of voxels had ATTs above the chosen post labelling delay (2 s), indicating that the ATT was not a significant source of error. Hadamard-encoded perfusion imaging yielded systematically higher CBF compared to SD-pCASL, but produced similar transit-time measurements. Power analysis revealed that SD-pCASL has the sensitivity to detect longitudinal changes as low as 10% with as few as 10 patient participants.

conclusionWith the appropriate labeling parameters, SD-pCASL is a promising approach for assessing longitudinal changes in CBF associated with FTD.

Indexed as

Frontotemporal DementiaCerebrovascular CirculationHumansMagnetic Resonance ImagingPerfusionReproducibility of ResultsSpin LabelsSpin LabelsArterial Spin Labeling (ASL)Arterial Transit Time (ATT)Cerebral Blood Flow (CBF)Frontotemporal Dementia (FTD)Reproducibility

Identifiers

PMID34697009
PMCPMC9421452
OpenAlexW3207069710

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.