Automated Measurement of Cerebral Hemorrhagic Contusions and Outcomes After Traumatic Brain Injury in the TRACK-TBI Study

Author:

Snider Samuel B.12,Temkin Nancy R.34,Sun Xiaoying5,Stubbs Jacob L.6,Rademaker Quinn J.1,Markowitz Amy J.7,Rosenthal Eric S.28,Diaz-Arrastia Ramon9,Fox Michael D.2101112,Manley Geoffrey T.713,Jain Sonia5,Edlow Brian L.21214,

Affiliation:

1. Division of Neurocritical Care, Department of Neurology, Brigham and Women’s Hospital, Boston, Massachusetts

2. Harvard Medical School, Boston, Massachusetts

3. Department of Neurological Surgery, University of Washington, Seattle

4. Department of Biostatistics, University of Washington, Seattle

5. Biostatistics Research Center, Herbert Wertheim School of Public Health, University of California, San Diego

6. Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada

7. Department of Neurological Surgery, University of California, San Francisco

8. Division of Clinical Neurophysiology, Department of Neurology, Massachusetts General Hospital, Boston

9. Department of Neurology, University of Pennsylvania, Philadelphia

10. Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, and Radiology, Brigham and Women’s Hospital, Boston, Massachusetts

11. Berenson-Allen Center for Noninvasive Brain Stimulation, Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts

12. Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown

13. Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California

14. Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston

Abstract

ImportanceBecause withdrawal of life-sustaining therapy based on perceived poor prognosis is the most common cause of death after moderate or severe traumatic brain injury (TBI), the accuracy of clinical prognoses is directly associated with mortality. Although the location of brain injury is known to be important for determining recovery potential after TBI, the best available prognostic models, such as the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) score, do not currently incorporate brain injury location.ObjectiveTo test whether automated measurement of cerebral hemorrhagic contusion size and location is associated with improved prognostic performance of the IMPACT score.Design, Setting, and ParticipantsThis prognostic cohort study was performed in 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018. Adult participants aged 17 years or older from the US-based Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study with moderate or severe TBI (Glasgow Coma Scale score 3-12) and contusions detected on brain computed tomography (CT) scans were included. The data analysis was performed between January 2023 and February 2024.ExposuresLabeled contusions detected on CT scans using Brain Lesion Analysis and Segmentation Tool for Computed Tomography (BLAST-CT), a validated artificial intelligence algorithm.Main Outcome and MeasureThe primary outcome was a Glasgow Outcome Scale–Extended (GOSE) score of 4 or less at 6 months after injury. Whether frontal or temporal lobe contusion volumes improved the performance of the IMPACT score was tested using logistic regression and area under the receiver operating characteristic curve comparisons. Sparse canonical correlation analysis was used to generate a disability heat map to visualize the strongest brainwide associations with outcomes.ResultsThe cohort included 291 patients with moderate or severe TBI and contusions (mean [SD] age, 42 [18] years; 221 [76%] male; median [IQR] emergency department arrival Glasgow Coma Scale score, 5 [3-10]). Only temporal contusion volumes improved the discrimination of the IMPACT score (area under the receiver operating characteristic curve, 0.86 vs 0.84; P = .03). The data-derived disability heat map of contusion locations showed that the strongest association with unfavorable outcomes was within the bilateral temporal and medial frontal lobes.Conclusions and RelevanceThese findings suggest that CT-based automated contusion measurement may be an immediately translatable strategy for improving TBI prognostic models.

Publisher

American Medical Association (AMA)

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