Evidence map›Paper›PMID 29876264›Full record

ArticleNeuroImage. Clinical2018

Age related diffusion and tractography changes in typically developing pediatric cervical and thoracic spinal cord.

Mahdi Alizadeh, Joshua Fisher, Sona Saksena, Yusra Sultan, Chris J Conklin, Devon M Middleton, Laura Krisa, Jürgen Finsterbusch, Adam E Flanders, Scott H Faro and 2 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  10. Magnetization Transfer Ratio in the Typically Developing Pediatric Spinal Cord: Normative Data and Age Correlation.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

12 authors at 4 institutions in 2 countries.

Mahdi AlizadehDepartment of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, United States; Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Joshua FisherJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Sona SaksenaJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Yusra SultanDepartment of Biology, Drexel University, Philadelphia, PA, United States.
Chris J ConklinJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Devon M MiddletonJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Laura KrisaDepartment of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, United States.
Jürgen FinsterbuschDepartment of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Adam E FlandersJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States.
Scott H FaroDepartment of Radiology, Johns Hopkins University, Baltimore, MD, United States.
M J MulcaheyDepartment of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, United States.
Feroze B MohamedJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States. Electronic address: feroze.mohamed@jefferson.edu.
Thomas Jefferson University · USDrexel University · USJohns Hopkins University · USUniversität Hamburg · DE

Funding

Neuroimaging based on DTI as a biomarker for spinal cord injury in children.R01NS079635 · NINDS · THOMAS JEFFERSON UNIVERSITY · PI MOHAMED, FEROZE B, MULCAHEY-HERSHEY, MARYJANE · 2013 to 2017
$1.7M
NINDS NIH HHS R01 NS079635
6 · The paper itself

Abstract

Background and objective: Diffusion tensor imaging (DTI) and diffusion tensor tractography (DTT) are two techniques that can measure white matter integrity of the spinal cord. Recently, DTI indices have been shown to change with age. The purpose of this study is (a) to evaluate the maturational states of the entire pediatric spinal cord using DTI and DTT indices including fractional anisotropy (FA), mean diffusivity (MD), mean length of white matter fiber tracts and tract density and (b) to analyze the DTI and DTT parameters along the entire spinal cord as a function of spinal cord levels and age. Method: A total of 23 typically developing (TD) pediatric subjects ranging in age from 6 to 16 years old (11.94 ± 3.26 (mean ± standard deviation), 13 females and 10 males) were recruited, and scanned using 3.0 T MR scanner. Reduced FOV diffusion tensor images were acquired axially in the same anatomical location prescribed for the T2-weighted images to cover the entire spinal cord (C1-mid L1 levels). To mitigate motion induced artifacts, diffusion directional images were aligned with the reference image (b0) using a rigid body registration algorithm performed by in-house software developed in Matlab (MathWorks, Natick, Massachusetts). Diffusion tensor maps (FA and MD) and streamline deterministic tractography were then generated from the motion corrected DTI dataset. DTI and DTT parameters were calculated by using ROIs drawn to encapsulate the whole cord along the entire spinal cord by an independent board certified neuroradiologist. These indices then were compared between two age groups (age group A = 6-11 years ( Results: An increase in FA (group A = 0.42 ± 0.097, group B = 0.49 ± 0.116), white matter tract density (group A = 368.01 ± 236.88, group B = 440.13 ± 245.24) and mean length of fiber tracts (group A = 48.16 ± 20.48 mm, group B = 60.28 ± 23.87 mm) and a decrease in MD (group A = 1.06 ± 0.23 × 10 Conclusion: This study provides an initial understanding of age related changes of DTI values as well as DTT metrics of the spinal cord. The results show significant differences in DTI and DTT parameters which may result from decreasing water content, myelination of fiber tracts, and the thickening diameter of fiber tracts during the maturation process. Consequently, when quantitative DTI and DTT of the spinal cord is undertaken in the pediatric population an age and level matched normative dataset should be used to accurately interpret the quantitative results.

Indexed as

Diffusion Tensor ImagingImage Processing, Computer-AssistedAdolescentAge FactorsAnisotropyChildDiffusion Magnetic Resonance ImagingFemaleHumansMaleSpinal CordSpinal Cord InjuriesWhite MatterAgeDiffusion tensor imagingFiber tractographyPediatric spinal cord

Identifiers

PMID29876264
PMCPMC5988463
OpenAlexW2792218214

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.