Evidence map›Paper›PMID 31925871›Full record

ReviewHuman brain mapping2020

Tractostorm: The what, why, and how of tractography dissection reproducibility.

Francois Rheault, Alessandro De Benedictis, Alessandro Daducci, Chiara Maffei, Chantal M W Tax, David Romascano, Eduardo Caverzasi, Felix C Morency, Francesco Corrivetti, Franco Pestilli and 16 more

Abstract readReview
In one paragraph

Review in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

26 authors.

Francois RheaultSherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada.ORCID 0000-0002-0097-8004
Alessandro De BenedictisNeurosurgery Unit, Department of Neuroscience and Neurorehabilitation, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Alessandro DaducciComputer Science Department, University of Verona, Verona, Italy.
Chiara MaffeiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA.ORCID 0000-0002-3837-0635
Chantal M W TaxCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
David RomascanoSignal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Eduardo CaverzasiDepartment of Neurology, University of California, San Francisco, CA.
Felix C MorencyImeka Solutions, Sherbrooke, Canada.
Francesco CorrivettiDépartment de neurochirurgie, Hôpital Lariboisière, Paris, France.
Franco PestilliDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN.
Gabriel GirardSignal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Guillaume TheaudSherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada.
Ilyess ZemmouraUMR 1253, iBrain, Université de Tours, Inserm, Tours, France.
Janice HauBrain Development Imaging Laboratories, Department of Psychology, San Diego State University, San Diego, CA, USA.
Kelly GlavinLearning Research & Development Center (LRDC), University of Pittsburgh, Pittsburgh, PA, USA.
Kesshi M JordanDepartment of Neurology, University of California, San Francisco, CA.
Kristofer PomieckoLearning Research & Development Center (LRDC), University of Pittsburgh, Pittsburgh, PA, USA.
Maxime ChamberlandCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Muhamed BarakovicSignal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Nil GoyetteImeka Solutions, Sherbrooke, Canada.
Philippe PoulinSherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada.
Quentin ChenotISAE-SUPAERO, Toulouse, France.
Sandip S PanesarDepartment of Neurosurgery, Stanford University, Standford, CA.
Silvio SarubboDivision of Neurosurgery, Emergency Department, "S. Chiara" Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy.
Laurent PetitGroupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives - UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France.ORCID 0000-0003-2499-5367
Maxime DescoteauxSherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called "virtual dissection." Human errors and personal decisions make these manual segmentations hard to reproduce, which have not yet been quantified by the dMRI community. It is our opinion that if the field of dMRI tractography wants to be taken seriously as a widespread clinical tool, it is imperative to harmonize WM bundle segmentations and develop protocols aimed to be used in clinical settings. The EADC-ADNI Harmonized Hippocampal Protocol achieved such standardization through a series of steps that must be reproduced for every WM bundle. This article is an observation of the problematic. A specific bundle segmentation protocol was used in order to provide a real-life example, but the contribution of this article is to discuss the need for reproducibility and standardized protocol, as for any measurement tool. This study required the participation of 11 experts and 13 nonexperts in neuroanatomy and "virtual dissection" across various laboratories and hospitals. Intra-rater agreement (Dice score) was approximately 0.77, while inter-rater was approximately 0.65. The protocol provided to participants was not necessarily optimal, but its design mimics, in essence, what will be required in future protocols. Reporting tractometry results such as average fractional anisotropy, volume or streamline count of a particular bundle without a sufficient reproducibility score could make the analysis and interpretations more difficult. Coordinated efforts by the diffusion MRI tractography community are needed to quantify and account for reproducibility of WM bundle extraction protocols in this era of open and collaborative science.

Indexed as

AnisotropyDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingDissectionHumansObserver VariationReproducibility of ResultsWhite Matterbundle segmentationdiffusion MRIinter-raterintra-raterreproducibilitytractographywhite matter

Identifiers

PMID31925871
PMCPMC7267902

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.