Statistical prediction of tissue fate in acute ischemic brain injury

Qiang Shen, Hongxia Ren, Marc Fisher, Timothy Q. Duong

Research output: Contribution to journalArticle

41 Scopus citations

Abstract

An algorithm was developed to statistically predict ischemic tissue fate on a pixel-by-pixel basis. Quantitative high-resolution (200 × 200 μm) cerebral blood flow (CBF) and apparent diffusion coefficient (ADC) were measured on acute stroke rats subjected to permanent middle cerebral artery occlusion and an automated clustering (ISODATA) technique was used to classify ischemic tissue types. Probability and probability density profiles were derived from a training data set (n=6) and probability maps of risk of subsequent infarction were computed in another group of animals (n=6) as ischemia progressed. Predictions were applied to overall tissue fate. Performance measures (sensitivity, specificity, and receiver operating characteristic) showed that prediction made based on combined ADC + CBF data outperformed those based on ADC or CBF data alone. At the optimal operating points, combined ADC + CBF predicted tissue infarction with 86%±4% sensitivity and 89%±6% specificity. More importantly, probability of infarct (PI) for different ISODATA-derived ischemic tissue types were also computed: (1) For the 'normal' cluster in the ischemic right hemisphere, PI based on combined ADC + CBF data (PI[ADC + CBF]) accurately reflected tissue fate, whereas PI[ADC] and PI[CBF] overestimated infarct probability. (2) For the 'perfusion-diffusion mismatch' cluster, P I[ADC + CBF] accurately predicted tissue fate, whereas P I[ADC] underestimated and PI[CBF] overestimated infarct probability. (3) For the core cluster, PI[ADC + CBF], P I[ADC], and PI[CBF] prediction were high and similar (∼90%). This study shows an algorithm to statistically predict overall, normal, ischemic core, and 'penumbral' tissue fate using early quantitative perfusion and diffusion information. It is suggested that this approach can be applied to stroke patients in a computationally inexpensive manner.

Original languageEnglish (US)
Pages (from-to)1336-1345
Number of pages10
JournalJournal of Cerebral Blood Flow and Metabolism
Volume25
Issue number10
DOIs
StatePublished - Oct 1 2005

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Keywords

  • DWI
  • Multispectral analysis
  • PWI
  • Penumbra
  • Perfusion-diffusion mismatch
  • Viability thresholds

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

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