Outcome Prediction Using Perfusion Parameters and Collateral Scores of Multi-Phase and Single-Phase CT Angiography in Acute Stroke: Need for One, Two, Three, or Thirty Scans?.
- Author:
Katharina SCHREGEL
1
;
Ioannis TSOGKAS
;
Carolin PETER
;
Antonia ZAPF
;
Daniel BEHME
;
Marlena SCHNIEDER
;
Ilko L MAIER
;
Jan LIMAN
;
Michael KNAUTH
;
Marios Nikos PSYCHOGIOS
Author Information
- Publication Type:Original Article
- Keywords: Acute stroke; Collateral circulation; Perfusion; Computed tomography angiography; Treatment outcome
- MeSH: Angiography*; Collateral Circulation; Cytidine Triphosphate; Decision Making; Humans; Logistic Models; Methods; Perfusion*; Stroke*; Treatment Outcome
- From:Journal of Stroke 2018;20(3):362-372
- CountryRepublic of Korea
- Language:English
- Abstract: BACKGROUND AND PURPOSE: Collateral status is an important factor determining outcome in acute ischemic stroke (AIS). Hence, different collateral scoring systems have been introduced. We applied different scoring systems on single- and multi-phase computed tomography (CT) angiography (spCTA and mpCTA) and compared them to CT perfusion (CTP) parameters to identify the best method for collateral evaluation in patients with AIS. METHODS: A total of 102 patients with AIS due to large vessel occlusion in the anterior circulation who underwent multimodal CT imaging and who were treated endovascularly were included. Collateral status was assessed on spCTA and mpCTA using four different scoring systems and compared to CTP parameters. Logistic regression was performed for predicting favorable outcome. RESULTS: All collateral scores correlated well with each other and with CTP parameters. Comparison of collateral scores stratified by extent of perfusion deficit showed relevant differences between groups (P < 0.01 for each). An spCTA collateral score discriminated best between favorable and unfavorable outcome as determined using the modified Rankin Scale 3 months after stroke. CONCLUSIONS: Collateral status evaluated on spCTA may suffice for outcome prediction and decision making in AIS patients, potentially obviating further imaging modalities like mpCTA or CTP.
