Evidence map›Paper›PMID 30375271›Full record

SynthesisJournal of neurotrauma2019

Comparing Region of Interest versus Voxel-Wise Diffusion Tensor Imaging Analytic Methods in Mild and Moderate Traumatic Brain Injury: A Systematic Review and Meta-Analysis.

Liane E Hunter, Naomi Lubin, Nancy R Glassman, Xiaonan Xue, Moshe Spira, Michael L Lipton

Abstract readComparative StudyMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of neurotrauma, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Serum NfL and GFAP as biomarkers of progressive neurodegeneration in TBI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  5. Review
  6. Article
  7. Article
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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

6 authors.

Liane E Hunter1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
Naomi Lubin1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
Nancy R Glassman2 Samuel Gottesman Library, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
Xiaonan Xue3 Department of Epidemiology and Population Health, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
Moshe Spira1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.
Michael L Lipton1 Gruss Magnetic Resonance Imaging Center, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Brain injury due to soccer heading and opportunities for its mitigationR01NS082432 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI LIPTON, MICHAEL LAWRENCE · 2013 to 2017
$3.5M
Identifying Biomarkers that Modify Outcomes in Soccer HeadingF31NS098799 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HUNTER, LIANE ELIZABETH · 2017 to 2019
$135k
NCATS NIH HHS UL1 TR002556NIGMS NIH HHS T32 GM007288NINDS NIH HHS F31 NS098799NINDS NIH HHS R01 NS082432
6 · The paper itself

Abstract

Diffusion tensor imaging is a magnetic resonance imaging technique that is uniquely capable of detecting microstructural tissue damage in mild and moderate traumatic brain injuries (TBIs). To date, it remains unknown if two common analytic techniques, region of interest (ROI) versus voxel-wise (VW) analyses, detect injury in similar locations. The purpose of this systematic review and meta-analysis was to directly compare the regions of abnormality elucidated by each method. Twenty-seven ROI and 11 VW studies met our inclusion criteria. Our ROI meta-analysis identified 11 regions, including the splenium of the corpus callosum, where fractional anisotropy (FA) was significantly decreased in TBI patients, compared with controls. Likewise, we identified higher mean diffusivity/apparent diffusivity constant in the genu, body, and splenium of the corpus callosum. Alternatively, our VW analysis identified one region of high FA in the right superior longitudinal fasciculus and seven regions of low FA, with the two largest located in the corpus callosum. High mean diffusivity and high radial diffusivity, both in the right inferior longitudinal fasciculus, also was revealed by our VW analysis. Moreover, we have shown that the magnitude of damage in the corpus callosum revealed by ROI analysis (z = -3.15) is greater than that demonstrated by VW analysis (z = -1.41). Overall, this study indicates that both ROI and VW analytic methods are sensitive to low FA in the corpus callosum; however, the ROI method has more power to detect the full extent of tissue abnormality in the corpus callosum. More research utilizing standardized methods and reporting is essential to fully characterize the extent to which ROI and VW analyses can concordantly detect other locations of pathology in mild and moderate TBI patients.

Indexed as

Brain ConcussionBrain Injuries, TraumaticDiffusion Tensor ImagingHumansImage Interpretation, Computer-AssistedNeuroimagingdiffusion tensor imagingmeta-analysissystematic reviewtraumatic brain injury

Identifiers

PMID30375271
PMCPMC6479248

What OpenQuestion holds

Textmetadata
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.