Evidence map›Paper›PMID 29311786›Full record

ArticleFrontiers in neuroscience2017

Optimizing Filter-Probe Diffusion Weighting in the Rat Spinal Cord for Human Translation.

Matthew D Budde, Nathan P Skinner, L Tugan Muftuler, Brian D Schmit, Shekar N Kurpad

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 12 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

5 authors at 1 institution in 1 country.

Matthew D BuddeDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Nathan P SkinnerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
L Tugan MuftulerDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Brian D SchmitDepartment of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, WI, United States.
Shekar N KurpadDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Medical College of Wisconsin · US

Funding

Clinical and Translational Science AwardUL1TR001436 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI FREED, JULIE K · 2015 to 2025
$47.5M
Medical Scientist Training ProgramT32GM080202 · NIGMS · MEDICAL COLLEGE OF WISCONSIN · PI BARBIERI, JOSEPH T, SALZMAN, NITA H · 2010 to 2024
$5.7M
J. NRSA Training CoreTL1TR001437 · NCATS · MEDICAL COLLEGE OF WISCONSIN · PI THOMAS, DANNY GEORGE · 2015 to 2024
$3.7M
Novel Diffusion MRI Encoding in Rat Spinal Cord Injury AssessmentF31NS096958 · NINDS · MEDICAL COLLEGE OF WISCONSIN · PI SKINNER, NATHAN P · 2017 to 2019
$112k
Diffusion Tensor Imaging of the Injured Spinal CordI01RX001497 · VA · CLEMENT J. ZABLOCKI VA MEDICAL CENTER · PI KURPAD, SHEKAR N. · 2014 to 2018
–
NCATS NIH HHS TL1 TR001437NCATS NIH HHS UL1 TR001436NIGMS NIH HHS T32 GM080202NINDS NIH HHS F31 NS096958RRD VA I01 RX001497
6 · The paper itself

Abstract

Diffusion tensor imaging (DTI) is a promising biomarker of spinal cord injury (SCI). In the acute aftermath, DTI in SCI animal models consistently demonstrates high sensitivity and prognostic performance, yet translation of DTI to acute human SCI has been limited. In addition to technical challenges, interpretation of the resulting metrics is ambiguous, with contributions in the acute setting from both axonal injury and edema. Novel diffusion MRI acquisition strategies such as double diffusion encoding (DDE) have recently enabled detection of features not available with DTI or similar methods. In this work, we perform a systematic optimization of DDE using simulations and an

Indexed as

diffusion tensor imagingdouble diffusion encodingmagnetic resonance imagingspinal cord injury

Identifiers

PMID29311786
PMCPMC5742102
OpenAlexW2780749610

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.