Evidence map›Paper›PMID 37555172›Full record

ArticleFrontiers in neuroimaging2022

Automatic measure and normalization of spinal cord cross-sectional area using the pontomedullary junction.

Sandrine Bédard, Julien Cohen-Adad

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Early and Progressive Spinal Cord Atrophy in Spinocerebellar Ataxia Type 1.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  4. Article
  5. Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Spinal nerves as landmarks for spinal cord segment delineation: cervical cross-sectional area measurement in healthy subjects.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Rootlets-based registration to the PAM50 spinal cord template.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  17. Article
  18. Review
  19. Automatic segmentation of the spinal cord nerve rootlets.Imaging neuroscience (Cambridge, Mass.) · 2024
    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

2 authors at 2 institutions in 1 country.

Sandrine BédardNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
Mila - Quebec Artificial Intelligence Institute · CAPolytechnique Montréal · CA

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Spinal cord cross-sectional area (CSA) is a relevant biomarker to assess spinal cord atrophy in neurodegenerative diseases. However, the considerable inter-subject variability among healthy participants currently limits its usage. Previous studies explored factors contributing to the variability, yet the normalization models required manual intervention and used vertebral levels as a reference, which is an imprecise prediction of the spinal levels. In this study we implemented a method to measure CSA automatically from a spatial reference based on the central nervous system (the pontomedullary junction, PMJ), we investigated factors to explain variability, and developed normalization strategies on a large cohort (

Indexed as

biomarkerinter-subject variabilityMRInormalizationspinal cord

Identifiers

PMID37555172
PMCPMC10406309
OpenAlexW4307997122

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.