Anatomical predictors of need for decompressive craniectomy after stroke using voxel-based lesion symptom mapping

J Neuroimaging. 2023 Sep-Oct;33(5):737-741. doi: 10.1111/jon.13144. Epub 2023 Jul 3.

Abstract

Background and purpose: Malignant cerebral edema (MCE) secondary to ischemic stroke is a highly morbid condition. Decompressive craniectomy (DC) is the only treatment for MCE that has been shown to reduce mortality. We examined whether early infarction and/or hypoperfusion in specific topographic regions was predictive of the need for later DC.

Methods: A retrospective database of patients evaluated for large vessel occlusion (LVO) stroke at Stanford between 2010 and 2019 was used. Thirty patients with LVO and baseline perfusion MRI who underwent DC were evaluated. Propensity matching based on age, lesion size, and recanalization status was performed on the remaining cohort. Baseline masks of apparent diffusion coefficient (ADC) + Tmax >6 seconds lesions were generated using automated perfusion software. Voxel-based lesion symptom maping was used to perform logistic regression at each voxel to generate statistical maps of lesion location associated with DC. Hemispheres were combined to increase statistical power.

Results: Sixty patients were analyzed. After adjusting for age, lesion size, and recanalization status as covariates, scattered cortical regions, predominately within the temporal and frontal lobe, were mildly to moderately predictive of the need for DC (z-scores: 2.4-6.74, p < .01).

Conclusions: Scattered temporal and frontal lobe regions on baseline diffusion and perfusion MRI were found to be mildly to moderately predictive of the need for subsequent DC in patients with LVO stroke.

Keywords: VLSM; cerebral edema; ischemic stroke; predictors; voxel-based lesion-symptom mapping.

MeSH terms

  • Decompressive Craniectomy* / methods
  • Humans
  • Ischemic Stroke*
  • Magnetic Resonance Imaging
  • Retrospective Studies
  • Stroke* / diagnostic imaging
  • Stroke* / surgery
  • Treatment Outcome