Evidence map›Paper›PMID 36192560›Full record

ArticleScientific reports2022

Optimized multi-echo gradient-echo magnetic resonance imaging for gray and white matter segmentation in the lumbosacral cord at 3 T.

Silvan Büeler, Marios C Yiannakas, Zdravko Damjanovski, Patrick Freund, Martina D Liechti, Gergely David

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03965299 (Transcutaneous Tibial Nerve Stimulation in Patients With Acute Spinal Cord Injury to Prevent Neurogenic Detrusor Overactivity), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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.

NCT03965299 narecruitingnot on this map

Transcutaneous Tibial Nerve Stimulation in Patients With Acute Spinal Cord Injury to Prevent Neurogenic Detrusor Overactivity: A Nationwide Randomised, Sham-controlled, Double-blind Clinical Trial

TypeinterventionalSponsorUniversity of ZurichRan2019 to 2026Enrolled114ConditionsSpinal Cord Injury, AcuteArmsVERUM TTNS, SHAM TTNS
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 4 institutions in 3 countries.

Silvan BüelerDepartment of Neuro-Urology, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
Marios C YiannakasNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK.
Zdravko DamjanovskiDepartment of Neuro-Urology, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
Patrick FreundSpinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
Martina D LiechtiDepartment of Neuro-Urology, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland.
Gergely DavidDepartment of Neuro-Urology, Balgrist University Hospital, University of Zurich, Forchstrasse 340, 8008, Zurich, Switzerland. gergely.david@balgrist.ch.
University of Zurich · CHMax Planck Institute for Human Cognitive and Brain Sciences · DENational Hospital for Neurology and Neurosurgery · GBUniversitätsklinik Balgrist · CH

Funding

Swiss National Science Foundation 33IC30_179644Swiss National Science Foundation PCEFP3_181362 / 1
6 · The paper itself

Abstract

Atrophy in the spinal cord (SC), gray (GM) and white matter (WM) is typically measured in-vivo by image segmentation on multi-echo gradient-echo magnetic resonance images. The aim of this study was to establish an acquisition and analysis protocol for optimal SC and GM segmentation in the lumbosacral cord at 3 T. Ten healthy volunteers underwent imaging of the lumbosacral cord using a 3D spoiled multi-echo gradient-echo sequence (Siemens FLASH, with 5 echoes and 8 repetitions) on a Siemens Prisma 3 T scanner. Optimal numbers of successive echoes and signal averages were investigated comparing signal-to-noise (SNR) and contrast-to-noise ratio (CNR) values as well as qualitative ratings for segmentability by experts. The combination of 5 successive echoes yielded the highest CNR between WM and cerebrospinal fluid and the highest rating for SC segmentability. The combination of 3 and 4 successive echoes yielded the highest CNR between GM and WM and the highest rating for GM segmentability in the lumbosacral enlargement and conus medullaris, respectively. For segmenting the SC and GM in the same image, we suggest combining 3 successive echoes. For SC or GM segmentation only, we recommend combining 5 or 3 successive echoes, respectively. Six signal averages yielded good contrast for reliable SC and GM segmentation in all subjects. Clinical applications could benefit from these recommendations as they allow for accurate SC and GM segmentation in the lumbosacral cord.

Indexed as

Gray MatterMagnetic Resonance ImagingSpinal CordWhite MatterAtrophyEcho-Planar ImagingHumansImage Processing, Computer-Assisted

Identifiers

PMID36192560
PMCPMC9530158
OpenAlexW4300427231

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Registered trials

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.