Machine learning volumetry of ischemic brain lesions on CT after thrombectomy—prospective diagnostic accuracy study in ischemic stroke patients-Reference-Cited by-同舟云学术

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Machine learning volumetry of ischemic brain lesions on CT after thrombectomy—prospective diagnostic accuracy study in ischemic stroke patients

Published:2020-04-22 Issue:10 Volume:62 Page:1239-1245
ISSN:0028-3940
Container-title:Neuroradiology
language:en
Short-container-title:Neuroradiology

Author:

Kral Jiri,Cabal Martin,Kasickova Linda,Havelka Jaroslav,Jonszta Tomas,Volny Ondrej,Bar Michal

Funder

Ministerstvo Zdravotnictví Ceské Republiky

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s00234-020-02419-7.pdf

Reference10 articles.

1. Bucker A, Boers AM, Bot JCJ, Berkhemer OA, Lingsma HF, Yoo AJ, van Zwam W, van Oostenbrugge R, van der Lugt A, Dippel DWJ, Roos YBWEM, Majoie CBLM, Marquering HA, MR CLEAN Trial Investigators (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands) (2017) Associations of ischemic lesion volume with functional outcome in patients with acute ischemic stroke: 24-hour versus 1-week imaging. Stroke 48:1233–1240. https://doi.org/10.1161/STROKEAHA.116.015156

2. Manning NW, Warne CD, Meyers PM (2018) Reperfusion and clinical outcomes in acute ischemic stroke: systematic review and meta-analysis of the stent-retriever-based, early window endovascular stroke trials. Front Neurol 9:301. https://doi.org/10.3389/fneur.2018.00301

3. Albers GW, Goyal M, Jahan R, Bonafe A, Diener HC, Levy EI, Pereira VM, Cognard C, Yavagal DR, Saver JL (2015) Relationships between imaging assessments and outcomes in solitaire with the intention for thrombectomy as primary endovascular treatment for acute ischemic stroke. Stroke 46:2786–2794. https://doi.org/10.1161/STROKEAHA.115.010710

4. Rangaraju S, Liggins JTP, Aghaebrahim A et al (2014) Pittsburgh outcomes after stroke thrombectomy score predicts outcomes after endovascular therapy for anterior circulation large vessel occlusions. Stroke 45:2298–2304. https://doi.org/10.1161/STROKEAHA.114.005595

5. Zaidi SF, Aghaebrahim A, Urra X, Jumaa MA, Jankowitz B, Hammer M, Nogueira R, Horowitz M, Reddy V, Jovin TG (2012) Final infarct volume is a stronger predictor of outcome than recanalization in patients with proximal middle cerebral artery occlusion treated with endovascular therapy. Stroke 43:3238–3244. https://doi.org/10.1161/STROKEAHA.112.671594

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1. Software with artificial intelligence-derived algorithms for analysing CT brain scans in people with a suspected acute stroke: a systematic review and cost-effectiveness analysis;HEALTH TECHNOL ASSES;2024

2. A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History;Springer Proceedings in Mathematics & Statistics;2024

3. Lower initial red blood cell count in cerebrospinal fluid predicts good functional outcome in patients with spontaneous subarachnoid haemorrhage;European Journal of Neurology;2023-05-27

4. Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning;Interventional Neuroradiology;2022-12-26

5. External Validation of e‐ASPECTS Software for Interpreting Brain CT in Stroke;Annals of Neurology;2022-09-23

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