Evidence map›Paper›PMID 30503948›Full record

ReviewMagnetic resonance imaging2019

Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.

Kurt G Schilling, Alessandro Daducci, Klaus Maier-Hein, Cyril Poupon, Jean-Christophe Houde, Vishwesh Nath, Adam W Anderson, Bennett A Landman, Maxime Descoteaux

Abstract readReview
In one paragraph

Review in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 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

73 citing papers in PubMed, 1 synthesis or guideline pooled it.

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13 more citing papers are in PubMed but not listed here.

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.

Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States of America. Electronic address: kurt.g.schilling.1@vumc.org.
Alessandro DaducciComputer Science Department, University of Verona, Verona, Italy.
Klaus Maier-HeinDivision of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg 69120, Germany.
Cyril PouponNeurospin, Frédéric Joliot Life Sciences Institute, CEA, Gif-sur-Yvette, France.
Jean-Christophe HoudeSherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Québec, Canada.
Vishwesh NathElectrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States of America.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States of America; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States of America; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States of America; Department of Electrical Engineering, Vanderbilt University, Nashville, TN, United States of America.
Maxime DescoteauxSherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Québec, Canada.

Funding

Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
The Biological Basis of Diffusion MRI of the BrainR01NS058639 · NINDS · VANDERBILT UNIVERSITY · PI ANDERSON, ADAM W · 2008 to 2016
$3.7M
NIBIB NIH HHS R01 EB017230NIBIB NIH HHS T32 EB001628NICHD NIH HHS U54 HD083211NINDS NIH HHS R01 NS058639
6 · The paper itself

Abstract

Diffusion MRI (dMRI) fiber tractography has become a pillar of the neuroimaging community due to its ability to noninvasively map the structural connectivity of the brain. Despite widespread use in clinical and research domains, these methods suffer from several potential drawbacks or limitations. Thus, validating the accuracy and reproducibility of techniques is critical for sound scientific conclusions and effective clinical outcomes. Towards this end, a number of international benchmark competitions, or "challenges", has been organized by the diffusion MRI community in order to investigate the reliability of the tractography process by providing a platform to compare algorithms and results in a fair manner, and evaluate common and emerging algorithms in an effort to advance the state of the field. In this paper, we summarize the lessons from a decade of challenges in tractography, and give perspective on the past, present, and future "challenges" that the field of diffusion tractography faces.

Indexed as

AlgorithmsBenchmarkingBrainDiffusion Tensor ImagingHumansInternationalityNeuroimagingReproducibility of ResultsAccuracyAlgorithmsChallengesDiffusion MRITractographyValidation

Identifiers

PMID30503948
PMCPMC6331218

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.