Modified small vessel disease score as the top predictor of stroke outcome after thrombectomy: a CT-based machine learning study.
- DOI
- 10.3389/fneur.2026.1622586
- Published
- 2026
- Container
- Frontiers in neurology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2026.1622586,
title = {Modified small vessel disease score as the top predictor of stroke outcome after thrombectomy: a CT-based machine learning study.},
author = {Goulart TO and Martins-Filho RKDV and Camilo MR and Abud DG and Pontes-Neto OM},
year = {2026},
journal = {Frontiers in neurology},
doi = {10.3389/fneur.2026.1622586},
url = {https://doi.org/10.3389/fneur.2026.1622586}
}RIS
TY - JOUR TI - Modified small vessel disease score as the top predictor of stroke outcome after thrombectomy: a CT-based machine learning study. AU - Goulart TO AU - Martins-Filho RKDV AU - Camilo MR AU - Abud DG AU - Pontes-Neto OM PY - 2026 JO - Frontiers in neurology DO - 10.3389/fneur.2026.1622586 UR - https://doi.org/10.3389/fneur.2026.1622586 ER -
APA
TO, G., RKDV, M., MR, C., DG, A., & OM, P. (2026). Modified small vessel disease score as the top predictor of stroke outcome after thrombectomy: a CT-based machine learning study.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1622586
Source records
- pubmed · retrieved 2026-09-25T12:52:37.452Z
- europe-pmc · retrieved 2026-09-25T12:52:37.467Z
- doaj · retrieved 2026-09-25T12:52:37.474Z