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Automated collateral assessment restricted to the hypoperfused area for distal vessel occlusions in ischemic stroke

  • Lucas de Vries*
  • , M. M. Quirien Robbe
  • , Ivo G. H. Jansen
  • , S. Mahsa Mojtahedi
  • , Susanne G. H. Olthuis
  • , Robrecht R. M. M. Knapen
  • , Florentina M. E. Pinckaers
  • , Manon Kappelhof
  • , Ludo F. M. Beenen
  • , Alida A. Postma
  • , Robert J. van Oostenbrugge
  • , Diederik W. J. Dippel
  • , Efstratios Gavves
  • , Bart J. Emmer
  • , Writing committee
  • , Henk A. Marquering
  • , Study coordinators
  • , on behalf of the MR CLEAN Registry Investigators
  • , Trial methodologist
  • , Local principal investigators
  • Imaging assessment committee, Adverse event committee, Research nurses / local trial coordinators, Clinical/imaging data acquisition, Executive committee
*Corresponding author for this work
  • University of Amsterdam
  • Maastricht University
  • Nicolab B.V.
  • Erasmus University Rotterdam
  • University of Groningen
  • Rijnstate Hospital
  • Radboud University Nijmegen
  • Leiden University
  • Isala Clinics
  • ETZ Elisabeth
  • Utrecht University
  • Haga Ziekenhuis
  • Medisch Spectrum Twente
  • Reinier de Graaf Groep
  • Catharina Hospital
  • Zuyderland
  • Haaglanden MC
  • St. Antonius Ziekenhuis
  • Albert Schweitzer Ziekenhuis
  • North West Hospital Group
  • Vrije Universiteit Amsterdam
  • Texas Stroke Institute
  • Amphia Hospital
  • Deventer Ziekenhuis

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Objectives: This study aims to: (1) develop and evaluate a quantitative assessment of collateral status in the downstream area of an occluded intracranial artery in acute ischemic stroke and compare this method to middle cerebral artery (MCA)-based assessment; (2) determine the agreement between the automated occlusion-downstream area collateral score (ODACS) and expert raters’ assessments, and compare this to inter-rater agreement. Methods: Patients from MR CLEAN-NO IV and MR CLEAN Registry with a proximal M1, distal M1, or M2 occlusion were included. Using the hypoperfused area from CT perfusion (CTP) as a proxy for the occlusion-downstream territory and automated vessel segmentations from CT angiography (CTA), ODACS is calculated as the vessel volume ratio between downstream ipsilateral and its contralateral regions. ODACS was compared to a whole MCA-territory approach and evaluated against visual scoring by two expert raters that visually estimated ODACS using CTA and CTP, and their inter-rater agreement. Results: The study included 204 patients with a proximal M1 (52%), distal M1 (32%), or M2 (16%) occlusion. ODACS yielded lower collateral scores than MCA-based scoring for all occlusion locations, with larger differences in more distal occlusions. For M2 occlusions, 58% of patients shifted from good (> 50%) to poor (≤ 50%) collateral filling of the occluded territory using ODACS. Moderate (weighted Cohen’s kappa κ = 0.45) inter-rater agreement and fair (κ = 0.35) to moderate (κ = 0.51) ODACS-rater agreement were observed. Conclusions: ODACS yields lower collateral scores compared to MCA-based scoring and is comparable to scores from expert raters. Key Points: Question CT angiography-based collateral assessment in the MCA territory is inadequate to assess the collateral status in patients with distal vessel occlusions. Findings Our automated ODACS revealed lower collateral scores than traditional whole-territory assessment, especially in distal vessel occlusions. Clinical relevance The more precise evaluation of affected brain territories through automated occlusion-downstream area assessments prevents an overestimation of collateral status in distal occlusions, which could lead to improved patient selection and treatment decisions in acute stroke care.
Original languageEnglish
Pages (from-to)6127-6139
Number of pages13
JournalEuropean radiology
Volume35
Issue number10
Early online date2025
DOIs
Publication statusPublished - Oct 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Brain
  • Collateral circulation
  • Computed tomography angiography
  • Perfusion imaging
  • Stroke

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