Infarct volume on apparent diffusion coefficient maps correlates with length of stay and outcome after middle

Stefan T Engelter1, James M Provenzale, Jeffrey R Petrella

  • 1Department of Radiology, Duke University Medical Center, Durham, NC, USA. sengelter@uhbs.ch

Abstract

Insights

Infarct volume on apparent diffusion coefficient (ADC) maps significantly correlates with hospitalization length and 6-month outcomes in acute ischemic stroke patients. This quantitative ADC infarct volume offers prognostic value for middle cerebral artery strokes.

Area of Science:

  • Neuroimaging
  • Radiology
  • Stroke Medicine

Background:

  • Diffusion-weighted MRI (DWI) detects acute ischemia via decreased apparent diffusion coefficient (ADC) values.
  • ADC maps isolate diffusion properties, unlike DWI which includes T2 effects.
  • Neurological deficit severity correlates with ADC alteration extent.

Purpose of the Study:

  • To assess the correlation between infarct volume on ADC maps and hospitalization duration.
  • To evaluate the relationship between ADC infarct volume and 6-month clinical outcomes in acute middle cerebral artery (MCA) stroke.

Main Methods:

  • Analyzed 45 patients with acute MCA infarcts (<72h) using DWI.
  • Quantified infarct volume by counting pixels with ADC values >3 SDs below contralateral control regions.
  • Correlated ADC infarct volume with hospitalization length and functional outcomes (GOS, mRS, BI).

Main Results:

  • ADC infarct volume ranged from 0.2 to 187 cm³.
  • Significant correlations found between ADC infarct volume and hospitalization length (r=0.67, p<0.001).
  • ADC infarct volume strongly correlated with 6-month outcomes: GOS (r=0.73), mRS (r=0.68), BI (r=0.67), and outcome status (r=0.65), all p<0.001.

Conclusions:

  • Quantitative ADC infarct volume is a significant predictor of hospitalization duration and 6-month functional outcomes in acute ischemic MCA stroke.
  • ADC infarct volume provides valuable prognostic information for stroke patients.
  • ADC mapping offers a reliable method for assessing infarct size and predicting outcomes.

Related Concept Videos