Literature DB >> 19931161

Diffusion-weighted imaging predicts cognition in pediatric brain injury.

Talin Babikian1, Karen A Tong, Nicholas R Galloway, Mary-Catherin Freier-Randall, André Obenaus, Stephen Ashwal.   

Abstract

Apparent diffusion coefficient maps from diffusion-weighted imaging predict gross neurologic outcome in adults with traumatic brain injury. Few studies in children have been reported, and none have used apparent diffusion coefficient maps to predict long-term (>1 year) neurocognitive outcomes. In this study, pooled regional and total brain diffusion coefficients were used to predict long-term outcomes in 17 pediatric brain injury patients. Apparent diffusion coefficient values were grouped into peripheral and deep gray and white matter, posterior fossa, and total brain. Regions of interest excluded areas that appeared abnormal on T(2)-weighted images. Apparent diffusion coefficient values from peripheral regions were inversely correlated with cognitive functioning. No significant correlations were apparent between the cognitive scores and apparent diffusion coefficient values for deep tissue or the posterior fossa. Regression analyses suggested that combined peripheral gray and white matter apparent diffusion coefficients explained 42% of the variance in the combined neurocognitive index. Peripheral gray diffusion coefficients alone explained an additional 20% of variance after accounting for clinical variables. These results suggest that obtaining apparent diffusion coefficient values, specifically from peripheral brain regions, may predict long-term outcome after pediatric brain injury. Discrepancies in the literature on this topic, as well as possible explanations, including sampling and clinical considerations, are discussed.

Entities:  

Mesh:

Year:  2009        PMID: 19931161     DOI: 10.1016/j.pediatrneurol.2009.06.002

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  14 in total

1.  Diagnostic Performance of Ultrafast Brain MRI for Evaluation of Abusive Head Trauma.

Authors:  S F Kralik; M Yasrebi; N Supakul; C Lin; L G Netter; R A Hicks; R A Hibbard; L L Ackerman; M L Harris; C Y Ho
Journal:  AJNR Am J Neuroradiol       Date:  2017-02-09       Impact factor: 3.825

Review 2.  Diffusion MRI in pediatric brain injury.

Authors:  Emily L Dennis; Talin Babikian; Christopher C Giza; Paul M Thompson; Robert F Asarnow
Journal:  Childs Nerv Syst       Date:  2017-09-06       Impact factor: 1.475

3.  Magnetic resonance diffusion-weighted imaging: reproducibility of regional apparent diffusion coefficients for the normal fetal brain.

Authors:  A C Boyer; L F Gonçalves; W Lee; A Shetty; A Holman; L Yeo; R Romero
Journal:  Ultrasound Obstet Gynecol       Date:  2013-01-03       Impact factor: 7.299

Review 4.  The pathophysiology of concussions in youth.

Authors:  Daniel W Shrey; Grace S Griesbach; Christopher C Giza
Journal:  Phys Med Rehabil Clin N Am       Date:  2011-09-25       Impact factor: 1.784

5.  Diffusion abnormalities in pediatric mild traumatic brain injury.

Authors:  Andrew R Mayer; Josef M Ling; Zhen Yang; Amanda Pena; Ronald A Yeo; Stefan Klimaj
Journal:  J Neurosci       Date:  2012-12-12       Impact factor: 6.167

6.  Predicting Outcome after Pediatric Traumatic Brain Injury by Early Magnetic Resonance Imaging Lesion Location and Volume.

Authors:  Emily Smitherman; Ana Hernandez; Peter L Stavinoha; Rong Huang; Steven G Kernie; Ramon Diaz-Arrastia; Darryl K Miles
Journal:  J Neurotrauma       Date:  2015-06-19       Impact factor: 5.269

7.  Cytotoxic Edema Associated with Hemorrhage Predicts Poor Outcome after Traumatic Brain Injury.

Authors:  L Christine Turtzo; Marie Luby; Neekita Jikaria; Allison Diane Griffin; Danielle Greenman; Reinoud P H Bokkers; Gunjan Parikh; Nicole Peterkin; Mark Whiting; Lawrence L Latour
Journal:  J Neurotrauma       Date:  2021-11-15       Impact factor: 5.269

8.  Differential effects of FK506 on structural and functional axonal deficits after diffuse brain injury in the immature rat.

Authors:  Ann Mae Dileonardi; Jimmy W Huh; Ramesh Raghupathi
Journal:  J Neuropathol Exp Neurol       Date:  2012-11       Impact factor: 3.685

Review 9.  Pediatric brain injury: can DTI scalars predict functional outcome?

Authors:  Duan Xu; Pratik Mukherjee; A James Barkovich
Journal:  Pediatr Radiol       Date:  2013-01-04

10.  Advanced neuromonitoring and imaging in pediatric traumatic brain injury.

Authors:  Stuart H Friess; Todd J Kilbaugh; Jimmy W Huh
Journal:  Crit Care Res Pract       Date:  2012-05-21
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