Evaluating Short-Term and Long-Term Risks Associated with Renal Artery Stenosis Position and Severity: A Hemodynamic Study.

Zhao, Yawei; Shi, Yike; Jin, Yusheng; Cao, Yifan; Song, Hui; Chen, Lingfeng; Li, Fen; Li, Xiaona; Chen, Weiyi

Zhao, Yawei; Shi, Yike; Jin, Yusheng; Cao, Yifan; Song, Hui; Chen, Lingfeng; Li, Fen; Li, Xiaona; Chen, Weiyi.

Afiliación

Zhao Y; College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Shi Y; College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Jin Y; College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Cao Y; College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Song H; College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Chen L; Institute of Applied Mechanics, Taiyuan University of Technology, Taiyuan 030024, China.
Li F; College of Biomedical Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Li X; College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China.
Chen W; Institute of Applied Mechanics, Taiyuan University of Technology, Taiyuan 030024, China.

Bioengineering (Basel) ; 10(9)2023 Aug 24.

Article en En | MEDLINE | ID: mdl-37760104

Palabras clave

computational fluid dynamics; hemodynamics; renal artery stenosis; renal perfusion

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioengineering (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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