Inter-rater reliability for assessing intracranial collaterals in patients with acute ischemic stroke: comparing 29

Lennard Wolff1, Jiahang Su2, Derek Van Loon2

  • 1Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Doctor Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands. l.wolff.1@erasmusmc.nl.

Neuroradiology
|May 24, 2022
PubMed

Insights

Assessing collateral circulation in acute ischemic stroke patients using collateral score (CS) showed moderate inter-rater reliability. Both human raters and an automated algorithm achieved similar accuracy, especially when dichotomizing the CS.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Collateral circulation is crucial for endovascular treatment outcomes in acute ischemic stroke.
  • Accurate assessment of collateral status is vital for patient management.

Purpose of the Study:

  • To evaluate the inter-rater reliability and accuracy of visual and automated collateral scoring (CS) in acute ischemic stroke patients.
  • To compare the performance of radiologists and radiology residents with an automated algorithm.

Main Methods:

  • Utilized CT angiography (CTA) scans from the MR CLEAN study.
  • Trained radiologists and residents to assess visual collateral score (CS) on selected CTA scans.
  • An automated algorithm was employed to compute CS.
  • Inter-rater reliability was assessed using intraclass correlation coefficient (ICC), and accuracy was calculated.

Main Results:

  • All rater groups demonstrated moderate inter-rater reliability (ICC: 0.689-0.780) compared to a reference standard.
  • Overall human accuracy for CS was 65%, increasing to 88% for dichotomized CS (0-1, 2-3).
  • Automated CS accuracy was 62%, reaching 90% for dichotomized CS, with no significant difference based on rater experience.

Conclusions:

  • Radiologist experience does not significantly influence inter-rater reliability in collateral scoring after training.
  • Automated collateral scoring demonstrates comparable accuracy to human raters, including residents and experienced radiologists.
Abstract

Related Concept Videos