CClinicalTrials.gg
CompletedNCT02688660Updated Jun 24, 2022

MRI Markers of Outcome After Severe Pediatric TBI

An observational study in Brain Injuries, sponsored by University of Wisconsin, Madison. Completed at 21 sites in 3 countries. Open to participants aged 0 Years to 18 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2022-06-24.

Sponsored by University of Wisconsin, Madison · Observational

Study type
Observational
Model
Other
Time perspective
Other
Enrollment
82
Ages
0 Years to 18 Years
Sex
All
01

Study summary

Traumatic brain injury (TBI) is the leading cause of death or disability in children. Each year in the United States, pediatric TBI results in an estimated 630,000 emergency room visits, 58,900 hospitalizations, and 7000 deaths. The incidence of long-term disability after severe TBI is high, with over 60% of children requiring educational or community based supportive services 12 months post-injury. Over 5,000 children require inpatient rehabilitation after TBI each year and an estimated 145,000 US children are currently living with disabilities after a severe TBI. Hospital costs for the acute treatment of children with TBI are estimated at \~$2.6 billion each year, while the gross annual costs accounting for long-term care and lost productivity approach $60 billion. Therefore, pediatric TBI is a major public health concern and new ways to diagnose and treat TBI are urgently needed.

Read the detailed description

Severe pediatric TBI results in a range of neurocognitive and behavioral deficits with resultant impact on school performance, social functioning, and quality of life. Sixty percent of children suffer from long-term functional impairments after severe TBI, and more than 40% demonstrate deficits in multiple cognitive and psychological domains. Importantly, a recent meta-analysis revealed that rather than catching up to their peers in these domains, children with severe TBI fall further behind over time. These deficits in cognitive and emotional function have a major impact on the child's quality of life after a TBI. A large study recently reported that severe TBI patients demonstrated lower quality of life than children undergoing active treatment for cancer. Considerable variation exists in the severity of impairment within each cognitive domain from patient to patient, likely relating to the mechanism of injury, the type and location of lesion, patient age, and pre-morbid functioning among other factors. While clinical scales such as the Glasgow Coma Scale (GCS) are useful for assessing injury severity and may provide general prognostic information, they are insufficient to identify risk for specific cognitive deficits. Identifying predictors of impairment within specific domains would aid in directing rehabilitation strategies towards at-risk cognitive domains, thereby improving long-term function and quality of life.

The investigators are partnering with an ongoing pediatric TBI trial (ADAPT Trial: Approaches and Decisions in Acute Pediatric TBI) and will also be enrolling past UW patients and healthy controls. Consistency in timing of follow-up scans, large sample size and access to the ADAPT Trial injury severity data and neuropsychological testing will give this study unprecedented power to assess the relationship between early MRI findings and subsequent atrophy, white matter injury, network connectivity changes and neurocognitive and behavioral impairments.

02

Conditions studied

  • Brain Injuries

Browse trials for

Keywords

  • Pediatrics
  • Neuroimaging
03

In context

Brain Injuries

2,113 studies on the registry are indexed under Brain Injuries; 385 are open to participants now.

This study's enrollment of 82 is below the median of 100 across 690 observational studies indexed under Brain Injuries.

Browse Brain Injuries studies →

Lead sponsor

University of Wisconsin, Madison is the lead sponsor of 1,161 studies on the registry; 182 are open to participants now.

Of its 151 completed or terminated interventional studies of FDA-regulated products, 114 (75%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
0 Years to 18 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Pediatric patients who have experienced TBI and had an acute MRI scan and those who participate in the prospective phase and obtain a follow-up MRI. Healthy controls will also be enrolled.

Inclusion criteria

Aim 1 Subjects:

  • Children 0 through \< 18 years of age
  • Diagnosis of severe TBI (defined as a Glasgow Coma Scale (GCS) score less than or equal to 8)
  • Had an intracranial pressure (ICP) monitor as part of standard care

Aims 2 \& 3 Subjects:

  • Children 9 through \< 18 years of age with severe TBI
  • Consent for a follow-up MRI within 10 years of the time of TBI

Controls:

  • Healthy children greater than or equal to 9 and \< 18 years of age.

Exclusion criteria

Exclusion Criteria:

  • TBI \& controls:
  • Anyone unable to tolerate a non-sedated MRI

Controls:

  • Any history of head injury resulting in loss of consciousness
  • Standard contraindications to MRI (metallic implants, implanted electronic devices, pregnancy, etc.).
05

Study design

Observational model
Other
Time perspective
Other
Enrollment
82 participants (actual)
Patient registry
No

Groups and cohorts

  • ADAPT Study Population

    This cohort will be subjects from the ADAPT study who had an acute MRI scan which has been uploaded into the ADAPT database from all participating sites.

  • Follow-Up MRI

    This cohort will include patients from ADAPT sites who choose to participate in this option and obtain a follow-up MRI approximately 1 year after the TBI.

    Other: MRI Scans

  • Healthy Controls

    This cohort will have one MRI to be used in comparison of the above cohorts.

    Other: MRI Scans

Interventions

  • OtherMRI Scans
06

What researchers measure

Primary outcomes

  1. Cerebral Atrophy

    Global and regional cerebral atrophy will be assessed using MRI

    Time frame: 1 year

  2. White matter fractional anisotropy

    Fractional Anisotropy will be assessed using Diffusion Tensor MRI

    Time frame: 1 year

  3. Brain network connectivity

    Network connectivity will be assessed using resting-state functional MRI

    Time frame: 1 year

07

Study locations

21 sites
  • Phoenix Children's Hospital
    Phoenix, Arizona 85016, United States
  • UC San Diego Health Sciences Center
    San Diego, California 92103, United States
  • Children's National Medical Center
    Washington, District of Columbia 20009, United States
  • Children's Healthcare of Atlanta
    Atlanta, Georgia 30342, United States
  • Johns Hopkins University
    Baltimore, Maryland 21218, United States
  • Boston Children's Hospital
    Boston, Massachusetts 02115, United States
  • Washington University School of Medicine
    Saint Louis, Missouri 63110, United States
  • Cincinnati Children's Hospital
    Cincinnati, Ohio 45229, United States
  • Nationwide Children's Hospital
    Columbus, Ohio 43205, United States
  • Penn State Hershey Children's Hospital
    Hershey, Pennsylvania 17033, United States
  • Children's Hospital of Philadelphia
    Philadelphia, Pennsylvania 19104, United States
  • Children's Hospital of Pittsburgh
    Pittsburgh, Pennsylvania 15224, United States
  • University of Tennessee
    Knoxville, Tennessee 37996, United States
  • University of Texas Southwestern Medical Center
    Dallas, Texas 75390, United States
  • University of Utah Primary Children's Medical Center
    Salt Lake City, Utah 84108, United States
  • Virginia Commonwealth University
    Richmond, Virginia 23284, United States
  • Seattle Children's Hospital
    Seattle, Washington 98105, United States
  • American Family Children's Hospital (AFCH)
    Madison, Wisconsin 53792, United States
  • The Royal Children's Hospital
    Melbourne, Victoria 3052, Australia
  • Birmingham Children's Hospital
    Birmingham, England B4 6NH, United Kingdom
  • University Hospital Southampton
    Southampton, Hampshire SO16 6YD, United Kingdom
08

References and documents

Publications

  • Bigler ED, Abildskov TJ, Petrie J, Farrer TJ, Dennis M, Simic N, Taylor HG, Rubin KH, Vannatta K, Gerhardt CA, Stancin T, Owen Yeates K. Heterogeneity of brain lesions in pediatric traumatic brain injury. Neuropsychology. 2013 Jul;27(4):438-51. doi: 10.1037/a0032837. PubMed 23876117 ↗
  • Tasker RC, Westland AG, White DK, Williams GB. Corpus callosum and inferior forebrain white matter microstructure are related to functional outcome from raised intracranial pressure in child traumatic brain injury. Dev Neurosci. 2010;32(5-6):374-84. doi: 10.1159/000316806. Epub 2010 Sep 8. PubMed 20829579 ↗
  • Birn RM, Shackman AJ, Oler JA, Williams LE, McFarlin DR, Rogers GM, Shelton SE, Alexander AL, Pine DS, Slattery MJ, Davidson RJ, Fox AS, Kalin NH. Evolutionarily conserved prefrontal-amygdalar dysfunction in early-life anxiety. Mol Psychiatry. 2014 Aug;19(8):915-22. doi: 10.1038/mp.2014.46. Epub 2014 May 27. PubMed 24863147 ↗
  • Yue JK, Vassar MJ, Lingsma HF, Cooper SR, Okonkwo DO, Valadka AB, Gordon WA, Maas AI, Mukherjee P, Yuh EL, Puccio AM, Schnyer DM, Manley GT; TRACK-TBI Investigators. Transforming research and clinical knowledge in traumatic brain injury pilot: multicenter implementation of the common data elements for traumatic brain injury. J Neurotrauma. 2013 Nov 15;30(22):1831-44. doi: 10.1089/neu.2013.2970. Epub 2013 Sep 24. PubMed 23815563 ↗
  • Beers SR, Wisniewski SR, Garcia-Filion P, Tian Y, Hahner T, Berger RP, Bell MJ, Adelson PD. Validity of a pediatric version of the Glasgow Outcome Scale-Extended. J Neurotrauma. 2012 Apr 10;29(6):1126-39. doi: 10.1089/neu.2011.2272. Epub 2012 Apr 10. PubMed 22220819 ↗
  • McCauley SR, Wilde EA, Anderson VA, Bedell G, Beers SR, Campbell TF, Chapman SB, Ewing-Cobbs L, Gerring JP, Gioia GA, Levin HS, Michaud LJ, Prasad MR, Swaine BR, Turkstra LS, Wade SL, Yeates KO; Pediatric TBI Outcomes Workgroup. Recommendations for the use of common outcome measures in pediatric traumatic brain injury research. J Neurotrauma. 2012 Mar 1;29(4):678-705. doi: 10.1089/neu.2011.1838. Epub 2011 Aug 24. PubMed 21644810 ↗
  • Alexander AL, Lee JE, Lazar M, Field AS. Diffusion tensor imaging of the brain. Neurotherapeutics. 2007 Jul;4(3):316-29. doi: 10.1016/j.nurt.2007.05.011. PubMed 17599699 ↗

Individual participant data

Plan to share: Yes

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 24, 2022, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02688660
Lead sponsor
University of Wisconsin, Madison
Collaborators
National Institutes of Health (NIH), National Institute of Neurological Disorders and Stroke (NINDS)
Responsible party
Sponsor
First posted
Feb 23, 2016
Start date
Apr 1, 2016
Primary completion
May 2022
Completion
May 2022
Last update
Jun 24, 2022

Study contacts

Peter Ferrazzano, MD
principal investigator · University of Wisconsin, Madison

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Apr 2022. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion