Journal article icon

Journal article

Collateral automation for triage in stroke: evaluating automated scoring of collaterals in acute stroke on computed tomography scans

Abstract:

Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefit from mechanical thrombectomy and those more likely to have good outcomes and ranges from 0 (no collaterals) to 3 (complete collaterals). In this study, we used a machine learning approach to categorise the degree of collateral flow in 98 patients who were eligible for mechanical thrombectomy and generate an e-CTA collateral score (CTA-CS) for each patient (e-STROKE SUITE, Brainomix Ltd., Oxfo...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1159/000500076

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Subgroup:
Centre for Statistics in Medicine
Role:
Author
ORCID:
0000-0003-4654-7311
Expand authors...
Publisher:
Karger Publishers Publisher's website
Journal:
Cerebrovascular Diseases Journal website
Volume:
47
Issue:
5-6
Pages:
217–222
Publication date:
2019-06-19
Acceptance date:
2019-03-28
DOI:
EISSN:
1421-9786
ISSN:
1015-9770
Pubs id:
pubs:1020171
UUID:
uuid:88289ed6-418e-44ec-ac1e-27f601ec4c1e
Source identifiers:
1020171
Local pid:
pubs:1020171

Terms of use


Metrics



If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP