Evidence map›Paper›PMID 38594906›Full record

ReviewMagnetic resonance in medicine2024

Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications.

Joseph G Woods, Eric Achten, Iris Asllani, Divya S Bolar, Weiying Dai, John A Detre, Audrey P Fan, María A Fernández-Seara, Xavier Golay, Matthias Günther and 24 more

Open access · hybridAbstract readReview
In one paragraph

Review in Magnetic resonance in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
23.9field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Simultaneous multiple post-labelling delay ASL MRI and [European journal of nuclear medicine and molecular imaging · 2026
    Article
  16. Article
  17. Article
  18. Article
  19. Perfusion Signal Analysis Using Multi-pulsed Arterial Spin Labeling (mPASL) with Multiple Post-labeling Delays: Phantom Validation and Application to the Human Foot.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  20. Article
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

34 authors at 20 institutions in 8 countries.

Joseph G WoodsWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-0329-824X
Eric AchtenGhent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University, Ghent, Belgium.ORCID 0000-0002-5148-4178
Iris AsllaniDepartment of Neuroscience, University of Sussex, Brighton, UK.
Divya S BolarCenter for Functional Magnetic Resonance Imaging, Department of Radiology, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-5968-2304
Weiying DaiDepartment of Computer Science, State University of New York at Binghamton, Binghamton, New York, USA.
John A DetreDepartment of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Audrey P FanDepartment of Biomedical Engineering, University of California Davis, Davis, California, USA.
María A Fernández-SearaDepartment of Radiology, Clínica Universidad de Navarra, Pamplona, Spain.ORCID 0000-0001-8536-6295
Xavier GolayUCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0002-6447-4446
Matthias GüntherImaging Physics, Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
Jia GuoDepartment of Bioengineering, University of California Riverside, Riverside, California, USA.ORCID 0000-0003-3371-5857
Luis Hernandez-GarciaDepartment of Radiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0003-3002-0304
Mai-Lan HoDepartment of Radiology, University of Missouri, Columbia, Missouri, USA.ORCID 0000-0002-9455-1350
Meher R JuttukondaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.ORCID 0000-0001-9064-3648
Hanzhang LuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-3871-1564
Bradley J MacIntoshHurvitz Brain Sciences Program, Centre for Brain Resilience & Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada.ORCID 0000-0001-7300-2355
Ananth J MadhuranthakamDepartment of Radiology and Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0002-5524-7962
Henk-Jan MutsaertsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-0894-0307
Thomas W OkellWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0001-8258-0659
Laura M ParkesSchool of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0001-6488-507X
Nandor PinterDent Neurologic Institute, Buffalo, New York, USA.ORCID 0000-0002-7714-143X
Joana PintoInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.ORCID 0000-0002-6863-1883
Qin QinThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-6432-2944
Marion SmitsDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0001-5563-2871
Yuriko SuzukiWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0002-4851-7872
David L ThomasDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0003-1491-1641
Matthias J P Van OschC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7034-8959
Danny J J WangLaboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-0840-7062
Esther A H WarnertDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-3196-1416
Greg ZaharchukDepartment of Radiology, Stanford University, Stanford, California, USA.
Fernando ZelayaDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK.
Moss ZhaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-0210-7739
Michael A ChappellWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID 0000-0003-1802-4214
ISMRM Perfusion Study Group
University of Oxford · GBErasmus MC · NLJohns Hopkins University · USUniversity of California San Diego · USAdvanced Imaging Research (United States) · USAmsterdam Neuroscience · NLBinghamton University · USDent Neurologic Institute · USGhent University · BEGold Standard Simulations (United Kingdom) · GBHarvard University · USLeiden University Medical Center · NLManchester Academic Health Science Centre · GBNational Hospital for Neurology and Neurosurgery · GBNavarre Institute of Health Research · ESOslo University Hospital · NORochester Institute of Technology · USStanford Health Care · USStanford University · USUniversity of Bremen · DE

Funding

UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEE-WAY JIN · 2021 to 2026
$25.2M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy ResponseU01CA207091 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MADHURANTHAKAM, ANANTH J, MALDJIAN, JOSEPH A · 2017 to 2022
$3.1M
Cerebrovascular Reserve Imaging with Simultaneous PET/MRI Using Arterial Spin Labeling and Deep LearningR01EB025220 · NIBIB · STANFORD UNIVERSITY · PI ZAHARCHUK, GREGORY GEORGE · 2018 to 2021
$2.8M
Next Generation Brain PET ImagingR01NS123025 · NINDS · STANFORD UNIVERSITY · PI ZAHARCHUK, GREGORY GEORGE · 2021 to 2025
$2.7M
Quantitative PET/MRI of brain oxygenation in cerebrovascular diseaseR00NS102884 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FAN, AUDREY PEIWEN · 2020 to 2022
$682k
Microvascular mechanisms underlying white matter lesions in older adultsK01AG070318 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JUTTUKONDA, MEHER R · 2021 to 2025
$625k
Ultra-fast cerebral blood flow imaging for quantifying brain dynamicsR01EB033210 · NIBIB · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GUO, JIA · 2022 to 2022
$623k
Engineering and Physical Sciences Research Council EP/S021507/1NCI NIH HHS U01 CA207091Nederlandse Organisatie voor Wetenschappelijk Onderzoek 016.160.351NIA NIH HHS K01 AG070318NIA NIH HHS K01-AG070318NIA NIH HHS P30 AG072972NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB025220NIBIB NIH HHS R01 EB033210NIBIB NIH HHS R01EB033210NIH HHS R01-EB025220NINDS NIH HHS R00 NS102884NINDS NIH HHS R00-NS-102884NINDS NIH HHS R01 NS123025NINDS NIH HHS R01-NS123025Spanish Ministry of Science and Innovation PI21/00578Wellcome TrustWellcome Trust 203139/Z/16/ZWellcome Trust 220204/Z/20/ZWellcome Trust 539208
6 · The paper itself

Abstract

Accurate assessment of cerebral perfusion is vital for understanding the hemodynamic processes involved in various neurological disorders and guiding clinical decision-making. This guidelines article provides a comprehensive overview of quantitative perfusion imaging of the brain using multi-timepoint arterial spin labeling (ASL), along with recommendations for its acquisition and quantification. A major benefit of acquiring ASL data with multiple label durations and/or post-labeling delays (PLDs) is being able to account for the effect of variable arterial transit time (ATT) on quantitative perfusion values and additionally visualize the spatial pattern of ATT itself, providing valuable clinical insights. Although multi-timepoint data can be acquired in the same scan time as single-PLD data with comparable perfusion measurement precision, its acquisition and postprocessing presents challenges beyond single-PLD ASL, impeding widespread adoption. Building upon the 2015 ASL consensus article, this work highlights the protocol distinctions specific to multi-timepoint ASL and provides robust recommendations for acquiring high-quality data. Additionally, we propose an extended quantification model based on the 2015 consensus model and discuss relevant postprocessing options to enhance the analysis of multi-timepoint ASL data. Furthermore, we review the potential clinical applications where multi-timepoint ASL is expected to offer significant benefits. This article is part of a series published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group, aiming to guide and inspire the advancement and utilization of ASL beyond the scope of the 2015 consensus article.

Indexed as

BrainCerebrovascular CirculationSpin LabelsHumansImage Processing, Computer-AssistedMagnetic Resonance AngiographyMagnetic Resonance ImagingPerfusion ImagingSpin Labelsarterial spin labelingarterial transit timecerebral blood flowmulti‐timepointperfusion

Identifiers

PMID38594906
PMCPMC11142882
OpenAlexW4394688865

What OpenQuestion holds

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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.