Prediction of stroke severity: systematic evaluation of lesion representations
We conclude that (1) prediction performance in independent datasets of patients with acute stroke cannot be inferred from cross-validated results within a dataset, as performance results obtained via these two methods differed consistently, (2) prediction performance can be improved by training on large and, importantly, multicenter datasets, and (3) structural and functional disconnection allow for improved prediction of acute stroke severity.
Authors
- Anthony Bourached (ORCID: https://orcid.org/0000-0001-8546-651X)
- Aamir Hussain (ORCID: https://orcid.org/0000-0002-5110-8244)
- Christopher Lin (ORCID: https://orcid.org/0000-0003-2428-9980)
- Ona Wu (ORCID: https://orcid.org/0000-0002-5509-9461)
- Markus D. Schirmer (ORCID: https://orcid.org/0000-0001-9561-0239)
- John Y. Rhee (ORCID: https://orcid.org/0000-0002-2081-5667)
- William Drew (ORCID: https://orcid.org/0000-0002-9178-8731)
- Eyal Y. Kimchi (ORCID: https://orcid.org/0000-0003-4327-1102)
- Anne‐Katrin Giese (ORCID: https://orcid.org/0000-0002-8500-2376)
- Sahar F. Zafar (ORCID: https://orcid.org/0000-0001-5252-5376)
- Alexander L. Cohen (ORCID: https://orcid.org/0000-0001-6557-5866)
- Christina Jern (ORCID: https://orcid.org/0000-0002-7531-2354)
- Natalia S. Rost (ORCID: https://orcid.org/0000-0002-7056-8561)
- Robert William Regenhardt (ORCID: https://orcid.org/0000-0003-2958-3484)
- Frédéric Schaper (ORCID: https://orcid.org/0000-0001-5487-0923)
- Anna K. Bonkhoff (ORCID: https://orcid.org/0000-0002-5927-1089)
- Arne G. Lindgren (ORCID: https://orcid.org/0000-0003-1942-7330)
- Michael A. Ferguson (ORCID: https://orcid.org/0000-0002-8751-3348)
- Maurizio Corbetta (ORCID: https://orcid.org/0000-0001-8295-3304)
- Jane Maguire (ORCID: https://orcid.org/0000-0001-5722-8311)
- Michael Fox (ORCID: https://orcid.org/0000-0001-8848-6399)
- Lara Carvalho de Oliveira (ORCID: https://orcid.org/0009-0000-2214-9621)
Institutions
- Northwestern University (US)
- University of Technology Sydney (AU)
- Brigham and Women's Hospital (US)
- Boston Children's Hospital (US)
- Harvard University (US)
- University of Padua (IT)
- Universität Hamburg (DE)
- Lund University (SE)
- Sahlgrenska University Hospital (SE)
- Veneto Institute of Molecular Medicine (IT)
- Massachusetts General Hospital (US)
- Region Västra Götaland (SE)
- Circuit Therapeutics (United States) (US)
- Center for Neuro-Oncology (US)
- University Medical Center Hamburg-Eppendorf (DE)
- Dana-Farber Cancer Institute (US)
- Athinoula A. Martinos Center for Biomedical Imaging (US)
- Skåne University Hospital (SE)
- National Hospital for Neurology and Neurosurgery (GB)
- Shared Medical Technology (United States) (US)
- University College London (GB)
- Massachusetts Institute of Technology (US)
- University of Gothenburg (SE)
Publication Details
- Journal
- Annals of Clinical and Translational Neurology
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1002/acn3.52215
- Citations
- 3
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- Brigham and Women's Hospital
- Massachusetts General Hospital
- Child Neurology Foundation
- National Institutes of Health
- National Institute of Mental Health
- National Institute of Neurological Disorders and Stroke