Article, 2024

An In Silico Model for Predicting the Efficacy of Edge-to-Edge Repair for Mitral Regurgitation

JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, ISSN 0148-0731, Volume 146, 2, 10.1115/1.4064055

Contributors

Ooida, Junichi (Corresponding author) [1] Kiyohara, Naoki 0000-0001-9702-9595 [1] Noguchi, Hironaga [1] Oguchi, Yuichiro [1] Nagane, Kohei [1] Sakaguchi, Takuya [2] Aoyama, Gakuto [2] Shige, Fumimasa (Corresponding author) [2] Chapman, James V. [3] Asami, Masahiko 0000-0002-2102-033X [4] Kofoed, K. F. 0000-0001-9742-1554 [5] [6] Pham, Michael H. C. 0000-0002-6577-0079 [5] [6] Suzuki, Koshiro 0000-0003-1106-3798 (Corresponding author) [1]

Affiliations

  1. [1] Canon Inc, 3-30-2 Shinmomaruko,Ota Ku, Tokyo 1468501, Japan
  2. [NORA names: Japan; Asia, East; OECD];
  3. [2] Canon Med Syst Corp, 1385 Shimoishigami, Ohtawara, Tochigi 3248550, Japan
  4. [NORA names: Japan; Asia, East; OECD];
  5. [3] Canon Med Informat Inc, 5850 Opus Pkwy,Suite 300, Minnetonka, MN 55343 USA
  6. [NORA names: United States; America, North; OECD];
  7. [4] Mitsui Mem Hosp, Div Cardiol, 1 Kandaizumi Cho,Chiyoda Ku, Tokyo 1018643, Japan
  8. [NORA names: Japan; Asia, East; OECD];
  9. [5] Rigshosp, Dept Cardiol & Radiol, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
  10. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];

Abstract

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Keywords

MitraClip, edge-to-edge repair, in silico, mitral regurgitation, patient-specific model

Data Provider: Clarivate