Unfavorable Perfusion Collateral Impairment Score Is Associated with Higher Odds of Poor Outcomes in Large Vessel

Hamza Adel Salim1,2, Meisam Hoseinyazdi2, Dhairya A Lakhani3,2

  • 1Department of Neuroradiology University of Texas MD Anderson Cancer Center Houston TX United States.

Stroke (Hoboken, N.J.)
|January 29, 2026
PubMed

Insights

A new Perfusion Collateral Impairment Score (PCIS) effectively predicts outcomes for acute ischemic stroke patients with large vessel occlusion. Higher PCIS scores indicate worse collateral circulation and are linked to poorer functional recovery at 90 days.

Area of Science:

  • Neurology
  • Radiology
  • Medical Imaging

Background:

  • Collateral circulation is crucial for acute ischemic stroke outcomes.
  • Large vessel occlusion (LVO) stroke requires effective collateral support.
  • Computed tomography perfusion (CTP) imaging assesses collateral status.

Purpose of the Study:

  • To develop and validate the Perfusion Collateral Impairment Score (PCIS).
  • To assess the association between PCIS and 90-day functional outcomes in LVO stroke patients.
  • To evaluate PCIS as a prognostic tool for stroke patient stratification.

Main Methods:

  • A multicenter retrospective study of 224 LVO stroke patients within 24 hours of onset.
  • PCIS calculated using CTP parameters: hypoperfusion intensity ratio, cerebral blood volume index, and prolonged venous transit.
  • Primary outcome: 90-day modified Rankin Scale (mRS) score (favorable 0-2, unfavorable 3-6).

Main Results:

  • Higher PCIS scores correlated with significantly worse 90-day functional outcomes.
  • Favorable outcomes decreased from 62% (PCIS 0) to 23% (PCIS 3).
  • Each 1-point PCIS increase independently reduced odds of functional independence (aOR 0.60; P=0.015).

Conclusions:

  • The PCIS, integrating three CTP parameters, is a valid prognostic tool for LVO stroke.
  • PCIS identifies patients at higher risk for poor functional outcomes.
  • This score may aid in optimizing stroke patient management and resource allocation.
Abstract

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