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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
Contrast delay on perfusion CT as a predictor of new, incident infarct: a retrospective cohort study
Alexander W Keedy1, W Scott Fischette, Bruno P Soares
1UVA Department of Radiology, Neuroradiology Division, Charlottesville, VA 22908, USA.
Insights
Functional assessment of intracranial collateral circulation using perfusion CT (PCT) can predict future ischemic stroke risk. Mean transit time delay, along with age and atrial fibrillation, are key predictors.
Area of Science:
- Neurology
- Radiology
- Cardiovascular Science
Background:
- Intracranial collateral circulation plays a crucial role in mitigating ischemic stroke.
- Assessing collateral status is vital for predicting stroke risk and guiding treatment.
Purpose of the Study:
- To evaluate if CT angiography and perfusion CT (PCT) can predict future ischemic stroke risk.
- To determine the predictive value of anatomical vs. functional collateral assessment.
Main Methods:
- Retrospective analysis of 135 patients with head and neck CT angiography and brain PCT.
- Collateral circulation assessed anatomically (CT angiography) and functionally (PCT mean transit time delay).
- Comparison of clinical, carotid, and imaging variables with incident infarct at follow-up.
Main Results:
- Fifteen patients developed new infarcts during follow-up.
- Functional assessment of collaterals (mean transit time delay on PCT) was associated with stroke risk.
- Age, atrial fibrillation, and mean transit time delay independently predicted future ischemic stroke.
Conclusions:
- Mean transit time delay on PCT provides significant physiological information.
- Functional assessment of intracranial collaterals, alongside clinical factors, predicts future hemispheric infarct risk.
Background And Purpose:
The purpose of this study was to determine if the assessment of intracranial collateral circulation by CT angiography and/or perfusion CT (PCT) can predict the risk of future ischemic stroke in a large, retrospective cohort study.
Methods:
We identified 135 consecutive patients who underwent CT angiography of the head and neck and PCT of the brain at baseline and with subsequent follow-up brain imaging. Clinical and demographic information and carotid wall features were collected. Collateral circulation was assessed anatomically at CT angiography and functionally by measuring the mean transit time delay at PCT. The clinical, carotid, CT angiography, and PCT variables were compared between those with and without new incident infarct at follow-up imaging using mixed effect logistic statistical models.
Results:
During the follow-up period, 15 patients developed a new infarct and 120 patients did not. Clinical features associated with the stroke risk were age, hypertension, hyperlipidemia, and atrial fibrillation. The carotid features associated with stroke risk were wall thickness. Anatomic assessment of collaterals on CT angiography was not associated with stroke risk, whereas the functional assessment of collaterals (mean transit time delay on PCT) was associated with stroke risk. In a multivariate model, age, atrial fibrillation, and mean transit time delay (OR, 22.8; P<0.001) were the only covariates that were independent predictors of future ischemic stroke.
Conclusions:
The mean transit time delay on PCT contains important physiological information and should not be discarded. Along with age and atrial fibrillation, this functional assessment of intracranial collateral circulation predicts the risk of future hemispheric infarct.
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