TRACK-TBI
Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI)
Head CT, research brain MRI, blood samples and outcomes from patients with traumatic brain injury of all severities, collected at US level 1 trauma centres to improve TBI diagnosis, prognosis and outcome measures for clinical trials. Access after an approved collaboration proposal and data transfer agreement.
Overview
TRACK-TBI is a prospective observational study of traumatic brain injury (TBI) funded by the US National Institute of Neurological Disorders and Stroke and coordinated from the Brain and Spinal Injury Center at UCSF. It enrolled patients across the whole range of injury severity at US level 1 trauma centres and collected clinical data, head CT, research MRI, blood samples and outcomes over the following year. The goal is a shared resource for better TBI classification, prognosis and outcome measures for clinical trials. It builds on a pilot study of about 600 patients at 3 sites, whose data were the first to enter the FITBIR repository.
Composition
The study enrolled 2,697 TBI participants at 18 level 1 trauma centres between 2014 and 2018. The study website gives the enrollment goal of 3,000 as reached. Patients followed one of three care pathways: discharged from the emergency department, admitted to a ward, or admitted to intensive care. Friends or family of patients and patients with orthopaedic injuries without TBI served as control groups. A 2021 CT analysis covered 1,935 patients with mild TBI (Glasgow Coma Scale 13 to 15).
Acquisition
Patients had a clinical head CT within 24 hours of injury. A subset at 11 sites had research MRI at 3T on 13 qualified scanners at 2 weeks and 6 months after injury; 592 patients with mild TBI had both scans. The one-hour protocol has 3D T1-weighted, 3D T2* gradient echo, diffusion tensor imaging (or high-definition fibre tracking), eyes-open resting-state fMRI, 3D FLAIR and 3D T2-weighted scans. Sites were qualified and monitored with ADNI, BIRN and NIST phantoms. Images were de-identified on upload to the LONI archive.
Annotations
A board-certified neuroradiologist read the initial head CT using the NINDS TBI neuroimaging common data elements. There are no published voxel-level lesion masks.
Known limitations
- Access needs an approved collaboration proposal, IRB approval and a signed data transfer agreement with UCSF; data are returned or destroyed at the end and publications are reviewed.
- Only about half of the patients with mild TBI had research MRI, and the total number of MRI patients is not published.
- Published counts come from analysis subsets, so whole-cohort breakdowns by sex, age or severity are not given here.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 2,697 subjects.
Modality
- CT 1,935 72%
- MRI 592 22%
Abstract (Results) in Yuh EL et al. 2021, Pathological computed tomography features associated with adverse outcomes after mild traumatic brain injury, JAMA Neurology; Methods (Participants) and Figure 1 in Palacios EM et al. 2022, Diffusion tensor imaging reveals elevated diffusivity of white matter microstructure that is independently associated with long-term outcome after mild traumatic brain injury, Journal of Neurotrauma
Condition
Groups can overlap
- Traumatic brain injury 2,697 100%
Abstract and Results in Madhok DY et al. 2022, Outcomes in patients with mild traumatic brain injury without acute intracranial traumatic injury, JAMA Network Open
Field strength
- 3 T 592 22%
Methods (MRI acquisition) in Palacios EM et al. 2022, Diffusion tensor imaging reveals elevated diffusivity of white matter microstructure that is independently associated with long-term outcome after mild traumatic brain injury, Journal of Neurotrauma
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
A research proposal is reviewed and approved
TRACK-TBI NET Research Collaboration Policy with its Data Transfer Agreement and Human Material Transfer Agreement
Access after the TRACK-TBI Executive Committee approves a research collaboration proposal and the user's institution signs a data transfer agreement with UCSF. Data are used only for the approved research proposal, may not be sold or passed on without Executive Committee authorization, and must be returned or destroyed at the end. Publications are reviewed and carry the TRACK-TBI Investigators group author.
What you can do
- Conditional
- Not stated
- Not stated
- Conditional
- Conditional
What you can share
- Conditional
- Conditional
- Share trained models Not stated
What you must do
- Yes
- Conditional
- Yes
- Yes
- Yes
- No
- Yes
- Yes
Limits
- Yes
- Location limits No
Citation
Publications using TRACK-TBI data add "and the TRACK-TBI Investigators" after the primary authors and acknowledge the funding source, as set out in the TRACK-TBI NET Publication and Authorship Guideline.
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Madhok DY et al. 2022, Outcomes in patients with mild traumatic brain injury without acute intracranial traumatic injury, JAMA Network Open paper
- Yuh EL et al. 2021, Pathological computed tomography features associated with adverse outcomes after mild traumatic brain injury, JAMA Neurology paper
- Palacios EM et al. 2022, Diffusion tensor imaging reveals elevated diffusivity of white matter microstructure that is independently associated with long-term outcome after mild traumatic brain injury, Journal of Neurotrauma paper
- TRACK-TBI website, home page website
- TRACK-TBI 3T MRI Technical Procedures Manual, version 3 of 2018-07-27 website