Evidence map›Paper›PMID 37811778›Full record

ArticleMagnetic resonance in medicine2024

ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): ASL pipeline inventory.

Hongli Fan, Henk J M M Mutsaerts, Udunna Anazodo, Daniel Arteaga, Koen P A Baas, Charlotte Buchanan, Aldo Camargo, Vera C Keil, Zixuan Lin, Thomas Lindner and 7 more

Abstract read
In one paragraph

Article 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 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
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

17 authors.

Hongli FanDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Baltimore, Maryland, USA.
Henk J M M MutsaertsDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-0894-0307
Udunna AnazodoMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Daniel ArteagaAscension Saint Thomas Hospital, Nashville, Tennessee, USA.
Koen P A BaasBrain Imaging, Amsterdam Neuroscience, Amsterdam, The Netherlands.
Charlotte BuchananSir Peter Mansfield Imaging Center, School of Medicine, University of Nottingham, Nottingham, UK.
Aldo CamargoDepartment of Diagnostic Radiology and Nuclear Medicine, School of Medicine, University of Maryland of Baltimore, Baltimore, Maryland, USA.
Vera C KeilDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Zixuan LinDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, Baltimore, Maryland, USA.
Thomas LindnerDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-4408-2429
Lydiane HirschlerDepartment of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2379-0861
Jian HuSir Peter Mansfield Imaging Center, School of Medicine, University of Nottingham, Nottingham, UK.ORCID 0000-0003-0946-9617
Beatriz E PadrelaDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Mohammad TaghvaeiDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
David L ThomasDepartment of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0003-1491-1641
Sudipto DoluiDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jan PetrDepartment of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-3201-6002

Funding

Cerebrovascular reserve and white matter disease in patients with anemiaR01HL136484 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI WOOD, JOHN C · 2018 to 2021
$2.5M
Cerebral Blood Flow trajectory in the Alzheimer's Disease continuumR03AG063213 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DOLUI, SUDIPTO · 2019 to 2020
$323k
NHLBI NIH HHS R01 HL136484NIA NIH HHS R03 AG063213NIH HHS 1R01-HL136484-01A1NIH HHS R03 AG063213Wellcome TrustWellcome Trust 539208
6 · The paper itself

Abstract

purposeTo create an inventory of image processing pipelines of arterial spin labeling (ASL) and list their main features, and to evaluate the capability, flexibility, and ease of use of publicly available pipelines to guide novice ASL users in selecting their optimal pipeline.

methodsDevelopers self-assessed their pipelines using a questionnaire developed by the Task Force 1.1 of the ISMRM Open Science Initiative for Perfusion Imaging. Additionally, each publicly available pipeline was evaluated by two independent testers with basic ASL experience using a scoring system created for this purpose.

resultsThe developers of 21 pipelines filled the questionnaire. Most pipelines are free for noncommercial use (n = 18) and work with the standard NIfTI (Neuroimaging Informatics Technology Initiative) data format (n = 15). All pipelines can process standard 3D single postlabeling delay pseudo-continuous ASL images and primarily differ in their support of advanced sequences and features. The publicly available pipelines (n = 9) were included in the independent testing, all of them being free for noncommercial use. The pipelines, in general, provided a trade-off between ease of use and flexibility for configuring advanced processing options.

conclusionAlthough most ASL pipelines can process the common ASL data types, only some (namely, ASLPrep, ASLtbx, BASIL/Quantiphyse, ExploreASL, and MRICloud) are well-documented, publicly available, support multiple ASL types, have a user-friendly interface, and can provide a useful starting point for ASL processing. The choice of an optimal pipeline should be driven by specific data to be processed and user experience, and can be guided by the information provided in this ASL inventory.

Indexed as

Image Processing, Computer-AssistedImaging, Three-DimensionalArteriesCerebrovascular CirculationMagnetic Resonance ImagingPerfusionPerfusion ImagingSpin LabelsSpin Labelsarterial spin labelingautomated processing pipelinecerebral blood flowopen scienceperfusion

Identifiers

PMID37811778
PMCPMC10950546

What OpenQuestion holds

Textmetadata
LicenceTDM
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.