A simple practical classification of cerebral infarcts on CT and its interobserver reliability

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

PURPOSE: To test the interobserver reliability of a simple method of classifying cerebral infarcts as seen on CT brain scans, which might allow differentiation of the site and size of the infarct from infarct swelling and hemorrhagic transformation.

METHOD: Two experienced neuroradiologists independently reviewed 119 CT brain scans showing recent small to large cortical and subcortical cerebral infarcts and classified each for site and size, amount of swelling, and hemorrhagic transformation blind to clinical information. Six less experienced general radiologists in training classified 33 of the CT scans blind to clinical information. Interobserver agreement was calculated using unweighted kappa statistics.

RESULTS: The kappa statistics between the two experienced neuroradiologists were: (a) 0.78 for site and size (95% confidence interval 0.69-0.87); (b) 0.8 for swelling (95% confidence interval, 0.68-0.92); and (c) 0.3 for hemorrhagic transformation (95% confidence interval, 0-0.77); indicating "good," "excellent," and "fair" agreement, respectively. Agreement for the less experienced radiologists was fair to excellent.

CONCLUSION: The cerebral infarct morphologic classification is simple, quick, and reliable and therefore practical. It usefully distinguishes between infarcts of similar site and size but with different amounts of swelling and hemorrhagic transformation, thus facilitating study of factors such as the influence of drug treatment on infarct swelling, which might influence clinical outcome. Although developed for CT, it could be used equally for MR imaging and has applications in research and clinical practice.

Original languageEnglish
Pages (from-to)1933-9
Number of pages7
JournalAmerican Journal of Neuroradiology
Issue number10
Publication statusPublished - Nov 1994

Keywords / Materials (for Non-textual outputs)

  • Adult
  • Aged
  • Aged, 80 and over
  • Brain
  • Brain Edema
  • Cerebral Cortex
  • Cerebral Hemorrhage
  • Cerebral Infarction
  • Female
  • Humans
  • Male
  • Middle Aged
  • Observer Variation
  • Tomography, X-Ray Computed


Dive into the research topics of 'A simple practical classification of cerebral infarcts on CT and its interobserver reliability'. Together they form a unique fingerprint.

Cite this