Can CTA-Based Machine Learning Identify Patients for Whom Successful Endovascular Stroke Therapy Is Insufficient?

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Bibliographic Details
Title: Can CTA-Based Machine Learning Identify Patients for Whom Successful Endovascular Stroke Therapy Is Insufficient?
Authors: Jeevarajan JA; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas., Dong Y; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas.; McWilliams School of Biomedical Informatics (Y.D., L.G.), The University of Texas Health Houston, Houston, Texas., Ballekere A; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas., Marioni SS; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas., Niktabe A; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas., Abdelkhaleq R; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas., Sheth SA; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas., Giancardo L; From the Department of Neurology (J.A.J., Y.D., A.B., S.S.M., A.N., R.A., S.A.S., L.G.), McGovern Medical School, The University of Texas Health Houston, Houston, Texas luca.giancardo@uth.tmc.edu.; McWilliams School of Biomedical Informatics (Y.D., L.G.), The University of Texas Health Houston, Houston, Texas.
Source: AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2025 Dec 04; Vol. 46 (12), pp. 2500-2506. Date of Electronic Publication: 2025 Dec 04.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: American Society of Neuroradiology Country of Publication: United States NLM ID: 8003708 Publication Model: Electronic Cited Medium: Internet ISSN: 1936-959X (Electronic) Linking ISSN: 01956108 NLM ISO Abbreviation: AJNR Am J Neuroradiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1936-959X
DOI:10.3174/ajnr.A8885