Predicting Mechanical Thrombectomy Outcome and Time Limit through ADC Value Analysis: A Comprehensive Clinical and Simulation Study Using Machine Learning.

Oura, Daisuke; Takamiya, Soichiro; Ihara, Riku; Niiya, Yoshimasa; Sugimori, Hiroyuki

Oura, Daisuke; Takamiya, Soichiro; Ihara, Riku; Niiya, Yoshimasa; Sugimori, Hiroyuki.

Afiliación

Oura D; Department of Radiology, Otaru General Hospital, Otaru 047-0152, Japan.
Takamiya S; Graduate School of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Ihara R; Department of Neurosurgery, Otaru General Hospital, Otaru 047-0152, Japan.
Niiya Y; Department of Radiology, Otaru General Hospital, Otaru 047-0152, Japan.
Sugimori H; Department of Neurosurgery, Otaru General Hospital, Otaru 047-0152, Japan.

Diagnostics (Basel) ; 13(13)2023 Jun 21.

Article en En | MEDLINE | ID: mdl-37443532

Palabras clave

ADC; MRI; acute ischemic stroke; machine learning

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Japón

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