Literature DB >> 30648770

Accuracy of "At Risk" Tissue Predictions Using CT Perfusion in Acute Large Vessel Occlusions.

Songmi Lee1, Albert J Yoo2, Henk A Marquering3, Olvert A Berkhemer4, Charles B Majoie5, Diederik W J Dippel6, Sunil A Sheth1.   

Abstract

BACKGROUND AND
PURPOSE: The validity of CT perfusion (CTP) predictions of expected infarction volume ("at risk" tissue) without rapid recanalization remains poorly characterized.
METHODS: From the MR CLEAN trial, we included patients who underwent CTP without successful recanalization. "At risk" volume was defined as Tmax > 6 seconds and ischemic core as relative CBF < 30 (Olea Sphere). Coprimary outcomes were follow-up infarct volume (FIV) on CT at 1-5 days and 90-day mRS. Data are presented as median [IQR] or OR [95% CI] unless otherwise specified.
RESULTS: Among 37 patients who met criteria, 14 (38%) were women, median age was 61 years [52-69], NIHSS was 19 [15-21], ASPECTS was 8 [7-9], and onset to imaging was 160 minutes [39-200]. Occlusion location was M1 for 22 (59%), ICA-T in 10 (27%), and M2 in 4 (11%). In univariable analysis, "at risk" volume correlated poorly with FIV (r = .06, P = .77). Among patients with predicted "at risk" volume < 100 mL, 36% had FIV > 200 mL. In adjusted linear regression, NIHSS but not "at risk" volume was associated with FIV (Coef 12, P = .045; Coef -.15, P = .8). In adjusted logistic regression, NIHSS but not "at risk" volume was associated with mRS 0-2 at 90 days (OR .7 [.5-.99]; OR 1.0 [.99-1.04]).
CONCLUSION: Predictions of "at-risk" tissue using CTP may underestimate the natural history of infarction from acute large vessel occlusions. NIHSS may perform better as a predictor of clinical outcomes in patients without rapid recanalization.
© 2019 by the American Society of Neuroimaging.

Entities:  

Keywords:  CT Perfusion; endovascular treatment; stroke; “at risk” tissue

Mesh:

Year:  2019        PMID: 30648770     DOI: 10.1111/jon.12595

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  2 in total

1.  Utility of CT Perfusion Imaging in Patients With Vertebral Artery Stenosis Treated With Balloon Expandable Stent.

Authors:  Wei Wei; Chong Song; Xuqin Li; Dianshi Jin
Journal:  Front Neurol       Date:  2021-03-17       Impact factor: 4.003

2.  BNP on Admission Combined with Imaging Markers of Multimodal CT to Predict the Risk of Cardioembolic Stroke.

Authors:  Ruoyao Cao; Yun Jiang; Ling Li; Yao Lu; Junjie Wang; Kezhen Yu; Min Chen; Juan Chen
Journal:  Dis Markers       Date:  2022-07-26       Impact factor: 3.464

  2 in total

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