Lesions in deep gray nuclei after severe traumatic brain injury predict neurologic outcome

PLoS One. 2017 Nov 2;12(11):e0186641. doi: 10.1371/journal.pone.0186641. eCollection 2017.

Abstract

Purpose: This study evaluates the correlation between injuries to deep gray matter nuclei, as quantitated by lesions in these nuclei on MR T2 Fast Spin Echo (T2 FSE) images, with 6-month neurological outcome after severe traumatic brain injury (TBI).

Materials and methods: Ninety-five patients (80 males, mean age = 36.7y) with severe TBI were prospectively enrolled. All patients underwent a MR scan within the 45 days after the trauma that included a T2 FSE acquisition. A 3D deformable atlas of the deep gray matter was registered to this sequence; deep gray matter lesions (DGML) were evaluated using a semi-quantitative classification scheme. The 6-month outcome was dichotomized into unfavorable (death, vegetative or minimally conscious state) or favorable (minimal or no neurologic deficit) outcome.

Results: Sixty-six percent of the patients (63/95) had both satisfactory registration of the 3D atlas on T2 FSE and available clinical follow-up. Patients without DGML had an 89% chance (P = 0.0016) of favorable outcome while those with bilateral DGML had an 80% risk of unfavorable outcome (P = 0.00008). Multivariate analysis based on DGML accurately classified patients with unfavorable neurological outcome in 90.5% of the cases.

Conclusion: Lesions in deep gray matter nuclei may predict long-term outcome after severe TBI with high sensitivity and specificity.

MeSH terms

  • Adult
  • Brain Injuries, Traumatic / diagnostic imaging
  • Brain Injuries, Traumatic / pathology*
  • Brain Injuries, Traumatic / physiopathology
  • Female
  • Gray Matter / diagnostic imaging
  • Gray Matter / pathology*
  • Humans
  • Male
  • Outcome Assessment, Health Care*

Grants and funding

This work has been funded by the Projet Hospitalier de Recherche Clinique (PHRC) #P051061.