Back to Search
Start Over
Abstract TP40: Prediction of a Small DWI Lesion Using Single Phase Collateral Score and Noncontrast CT ASPECT Score
- Source :
- Stroke. 48
- Publication Year :
- 2017
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2017.
-
Abstract
- Introduction and Hypothesis: Small initial DWI lesion volume (≤70 mL) is a strong predictor of favorable outcome post i IA thrombectomy and has been used for patient selection in multiple clinical trials. We sought to investigate if collateral and/or CT ASPECT scores could predict a small DWI lesion volume. Methods: We included 130 consecutive patients with CTA showing ICA and/or proximal MCA occlusions who underwent DWI within 8 hours of stroke onset. DWI lesion volumes were dichotomized to small (≤70mL) and large (>70ml). Collateral vessels were categorized to 5 groups: 0=none, 1=minimal, 2=less than 50%, 3=more than 50%, 4=equal and 5=more than the contralateral side. Logistic regression, ROC curve analyses and weighted Kappa test were performed. Results: In 130 patients, 62 female (48%), the average values (mean±SD) were: age 70±17 years, NIHSS 16±6, DWI volume 59±65 mL, time after stroke onset 4.4±1.8 hours, CT ASPECT score 6±2 and collateral score 3±1. Time, age, gender, or occlusion site (ICA vs MCA) were not independent predictors of a small DWI volume with p values all >0.05. Collateral score (OR 6.32, P Conclusion: Collateral score alone or combined with ASPECTS can predict a small DWI lesion volume with high specificity. However, sensitivity is relatively low and inter-rater agreement is fair. These findings should be considered when DWI is not available to select patients for IA therapy.
- Subjects :
- Advanced and Specialized Nursing
medicine.medical_specialty
business.industry
Lesion volume
Collateral circulation
Lesion
Ischemic stroke
medicine
cardiovascular diseases
Neurology (clinical)
Favorable outcome
Radiology
medicine.symptom
Single phase
Cardiology and Cardiovascular Medicine
business
Selection (genetic algorithm)
Diffusion MRI
Subjects
Details
- ISSN :
- 15244628 and 00392499
- Volume :
- 48
- Database :
- OpenAIRE
- Journal :
- Stroke
- Accession number :
- edsair.doi...........9d87e179032cca4d9e0761bb290e736b
- Full Text :
- https://doi.org/10.1161/str.48.suppl_1.tp40