Evidence map›Paper›PMID 29340936›Full record

ArticleJournal of digital imaging2018

Application of Color Transformation Techniques in Pediatric Spinal Cord MR Images: Typically Developing and Spinal Cord Injury Population.

Mahdi Alizadeh, Pallav Shah, Chris J Conklin, Devon M Middleton, Sona Saksena, Adam E Flanders, Laura Krisa, M J Mulcahey, Scott H Faro, Feroze B Mohamed

Abstract read
In one paragraph

Article in Journal of digital imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 3 institutions in 1 country.

Mahdi AlizadehDepartment of Neurosurgery, Thomas Jefferson University, 909 Walnut Street, Philadelphia, PA, 19107, USA. mahdi.alizadeh.2@jefferson.edu.
Pallav ShahDepartment of Radiology, Temple University, Philadelphia, PA, USA.
Chris J ConklinJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Devon M MiddletonJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Sona SaksenaJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Adam E FlandersJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Laura KrisaDepartment of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, USA.
M J MulcaheyDepartment of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, USA.
Scott H FaroDepartment of Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, USA.
Feroze B MohamedJefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Thomas Jefferson University · USImaging Center · USTemple University · US

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

The purpose of this study was to evaluate an improved and reliable visualization method for pediatric spinal cord MR images in healthy subjects and patients with spinal cord injury (SCI). A total of 15 pediatric volunteers (10 healthy subjects and 5 subjects with cervical SCI) with a mean age of 11.41 years (range 8-16 years) were recruited and scanned using a 3.0T Siemens Verio MR scanner. T2-weighted axial images were acquired covering entire cervical spinal cord level C1 to C7. These gray-scale images were then converted to color images by using five different techniques including hue-saturation-value (HSV), rainbow, red-green-blue (RGB), and two enhanced RGB techniques using automated contrast stretching and intensity inhomogeneity correction. Performance of these techniques was scored visually by two neuroradiologists within three selected cervical spinal cord intervertebral disk levels (C2-C3, C4-C5, and C6-C7) and quantified using signal to noise ratio (SNR) and contrast to noise ratio (CNR). Qualitative and quantitative evaluation of the color images shows consistent improvement across all the healthy and SCI subjects over conventional gray-scale T2-weighted gradient echo (GRE) images. Inter-observer reliability test showed moderate to strong intra-class correlation (ICC) coefficients in the proposed techniques (ICC > 0.73). The results suggest that the color images could be used for quantification and enhanced visualization of the spinal cord structures in addition to the conventional gray-scale images. This would immensely help towards improved delineation of the gray/white and CSF structures and further aid towards accurate manual or automatic drawings of region of interests (ROIs).

Indexed as

AdolescentCase-Control StudiesCervical VertebraeChildColorFemaleHumansInjury Severity ScoreMagnetic Resonance ImagingMaleQuality ControlRadiographic Image EnhancementReference ValuesSignal-To-Noise RatioSpinal Cord InjuriesGradient echoImage enhancementPseudo-color transformationSpinal cord injury

Identifiers

PMID29340936
PMCPMC6113139
OpenAlexW2784025331

What OpenQuestion holds

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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.