ArticleScientific reports2022
Optimized multi-echo gradient-echo magnetic resonance imaging for gray and white matter segmentation in the lumbosacral cord at 3 T.
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.
What it found
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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.
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.
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
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Volumetric and Intrastructural Characterization of the Substantia Nigra Using Optimized Synthetic MR Images Derived From Quantitative T1 Maps at 3 T.NMR in biomedicine · 2026Article
- Remote neurodegeneration in the lumbosacral cord one month after spinal cord injury: a cross-sectional MRI study.Annals of clinical and translational neurology · 2025Article
- Test-retest repeatability of intravoxel incoherent motion (IVIM) measurements in the cervical cord.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Spinal cord evaluation in multiple sclerosis: clinical and radiological associations, present and future.Brain communications · 2024Review
- Article
- Detection of resting-state functional connectivity in the lumbar spinal cord with 3T MRI.Scientific reports · 2023Article
- Assessment of the Impact of Turbo Factor on Image Quality and Tissue Volumetrics in Brain Magnetic Resonance Imaging Using the Three-Dimensional T1-Weighted (3D T1W) Sequence.International journal of biomedical imaging · 2023Article
- Navigator readouts with optimized processing improve spinal cord and gray matter segmentability in multi-echo gradient-echo imaging.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
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.
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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.