Publication: Machine learning based outcome prediction in stroke patients with MCA‐M1 occlusions and early thrombectomy
Machine learning based outcome prediction in stroke patients with MCA‐M1 occlusions and early thrombectomy
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Hamann, J., Herzog, L., Wehrli, C., Dobrocky, T., Bink, A., Piccirelli, M., Panos, L., Kaesmacher, J., Fischer, U., Stippich, C., Luft, A. R., Gralla, J., Arnold, M., Wiest, R., Sick, B., & Wegener, S. (2021). Machine learning based outcome prediction in stroke patients with MCA‐M1 occlusions and early thrombectomy. European Journal of Neurology, 28(4), 1234–1243. https://doi.org/10.1111/ene.14651
Abstract
Abstract
Abstract
Background
Clinical outcome varies substantially between individuals with large vessel occlusion (LVO) stroke. A small infarct core and large mismatch were found to be associated with good recovery. We investigated if those imaging variables improve individual prediction of functional outcome after early (< 6h) endovascular treatment (EVT) in LVO stroke. Methods
We included 222 patients with acute ischemic stroke due to middle cerebral artery (MCA)‐M1 occlusion who received EVT. As predictors, we used clinical variables and region o
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Creators (Authors)
- Hamann, Janne
- Herzog, Lisa
- Wehrli, Carina
- Dobrocky, Tomas
- Bink, Andrea
- Piccirelli, Marco
- Panos, Leonidas
- Kaesmacher, Johannes
- Fischer, Urs
- Stippich, Christoph
- Luft, Andreas R
- Gralla, Jan
- Arnold, Marcel
- Wiest, Roland
- Sick, Beate
- Wegener, Susanne
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Hamann, J., Herzog, L., Wehrli, C., Dobrocky, T., Bink, A., Piccirelli, M., Panos, L., Kaesmacher, J., Fischer, U., Stippich, C., Luft, A. R., Gralla, J., Arnold, M., Wiest, R., Sick, B., & Wegener, S. (2021). Machine learning based outcome prediction in stroke patients with MCA‐M1 occlusions and early thrombectomy. European Journal of Neurology, 28(4), 1234–1243. https://doi.org/10.1111/ene.14651
