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Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data
Authors:Wang  Liang  Tang  Dalin  Maehara  Akiko  Molony  David  Zheng  Jie  Samady  Habib  Wu  Zheyang  Lu  Wenbin  Zhu  Jian  Ma  Genshan  Giddens  Don P  Stone  Gregg W  Mintz  Gary S
Institution:1.School of Biological Science and Medical Engineering, Southeast University, Nanjing, China
;2.Mathematical Sciences Department, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609, USA
;3.The Cardiovascular Research Foundation, Columbia University, New York, NY, USA
;4.Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
;5.Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, USA
;6.Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, 210009, China
;7.The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
;
Abstract:Biomechanics and Modeling in Mechanobiology - Plaque progression and vulnerability are influenced by many risk factors. Our goal is to find a simple method to combine multiple risk factors for...
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