Evidence map›Paper›PMID 33067520›Full record

ArticleScientific reports2020

HARDI-ZOOMit protocol improves specificity to microstructural changes in presymptomatic myelopathy.

René Labounek, Jan Valošek, Tomáš Horák, Alena Svátková, Petr Bednařík, Lubomír Vojtíšek, Magda Horáková, Igor Nestrašil, Christophe Lenglet, Julien Cohen-Adad and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
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  6. Review
  7. 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
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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

12 authors.

René LabounekDepartment of Biomedical Engineering, University Hospital Olomouc, 779 00, Olomouc, Czech Republic.ORCID 0000-0003-0439-1304
Jan ValošekDepartment of Biomedical Engineering, University Hospital Olomouc, 779 00, Olomouc, Czech Republic.ORCID 0000-0002-7398-4990
Tomáš HorákCentral European Institute of Technology, Masaryk University, 625 00, Brno, Czech Republic.
Alena SvátkováCentral European Institute of Technology, Masaryk University, 625 00, Brno, Czech Republic.
Petr BednaříkCentral European Institute of Technology, Masaryk University, 625 00, Brno, Czech Republic.ORCID 0000-0002-8828-7661
Lubomír VojtíšekCentral European Institute of Technology, Masaryk University, 625 00, Brno, Czech Republic.ORCID 0000-0002-4027-6568
Magda HorákováCentral European Institute of Technology, Masaryk University, 625 00, Brno, Czech Republic.
Igor NestrašilDivision of Clinical Behavioral Neuroscience, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55414, USA.
Christophe LengletCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, 55414, USA.ORCID 0000-0003-4646-3185
Julien Cohen-AdadInstitute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.ORCID 0000-0003-3662-9532
Josef BednaříkCentral European Institute of Technology, Masaryk University, 625 00, Brno, Czech Republic.
Petr HluštíkDepartment of Neurology, Palacký University, 779 00, Olomouc, Czech Republic. phlustik@upol.cz.

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
CIHR FDN-143263NIBIB NIH HHS P41 EB015894NIBIB NIH HHS P41 EB027061NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Diffusion magnetic resonance imaging (dMRI) proved promising in patients with non-myelopathic degenerative cervical cord compression (NMDCCC), i.e., without clinically manifested myelopathy. Aim of the study is to present a fast multi-shell HARDI-ZOOMit dMRI protocol and validate its usability to detect microstructural myelopathy in NMDCCC patients. In 7 young healthy volunteers, 13 age-comparable healthy controls, 18 patients with mild NMDCCC and 15 patients with severe NMDCCC, the protocol provided higher signal-to-noise ratio, enhanced visualization of white/gray matter structures in microstructural maps, improved dMRI metric reproducibility, preserved sensitivity (SE = 87.88%) and increased specificity (SP = 92.31%) of control-patient group differences when compared to DTI-RESOLVE protocol (SE = 87.88%, SP = 76.92%). Of the 56 tested microstructural parameters, HARDI-ZOOMit yielded significant patient-control differences in 19 parameters, whereas in DTI-RESOLVE data, differences were observed in 10 parameters, with mostly lower robustness. Novel marker the white-gray matter diffusivity gradient demonstrated the highest separation. HARDI-ZOOMit protocol detected larger number of crossing fibers (5-15% of voxels) with physiologically plausible orientations than DTI-RESOLVE protocol (0-8% of voxels). Crossings were detected in areas of dorsal horns and anterior white commissure. HARDI-ZOOMit protocol proved to be a sensitive and practical tool for clinical quantitative spinal cord imaging.

Indexed as

Diffusion Magnetic Resonance ImagingAdultBiomedical EngineeringCase-Control StudiesCervical VertebraeCluster AnalysisDiffusion Tensor ImagingFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise RatioSpinal Cord CompressionSpinal Cord Diseases

Identifiers

PMID33067520
PMCPMC7567840

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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.