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For: Wang L, Tang D, Maehara A, Wu Z, Yang C, Muccigrosso D, Zheng J, Bach R, Billiar KL, Mintz GS. Fluid-structure interaction models based on patient-specific IVUS at baseline and follow-up for prediction of coronary plaque progression by morphological and biomechanical factors: A preliminary study. J Biomech 2017;68:43-50. [PMID: 29274686 DOI: 10.1016/j.jbiomech.2017.12.007] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2017] [Revised: 12/06/2017] [Accepted: 12/07/2017] [Indexed: 11/26/2022]
Number Cited by Other Article(s)
1
Zhao C, Lv R, Maehara A, Wang L, Gao Z, Xu Y, Guo X, Zhu Y, Huang M, Zhang X, Zhu J, Yu B, Jia H, Mintz GS, Tang D. Plaque Ruptures Are Related to High Plaque Stress and Strain Conditions: Direct Verification by Using In Vivo OCT Rupture Data and FSI Models. Arterioscler Thromb Vasc Biol 2024;44:1617-1627. [PMID: 38721707 PMCID: PMC11208065 DOI: 10.1161/atvbaha.124.320764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/24/2024] [Indexed: 06/28/2024]
2
Fogell NAT, Patel M, Yang P, Ruis RM, Garcia DB, Naser J, Savvopoulos F, Davies Taylor C, Post AL, Pedrigi RM, de Silva R, Krams R. Considering the Influence of Coronary Motion on Artery-Specific Biomechanics Using Fluid-Structure Interaction Simulation. Ann Biomed Eng 2023;51:1950-1964. [PMID: 37436564 PMCID: PMC10409843 DOI: 10.1007/s10439-023-03214-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/18/2023] [Indexed: 07/13/2023]
3
Lv R, Wang L, Maehara A, Matsumura M, Guo X, Samady H, Giddens DP, Zheng J, Mintz GS, Tang D. Combining IVUS + OCT Data, Biomechanical Models and Machine Learning Method for Accurate Coronary Plaque Morphology Quantification and Cap Thickness and Stress/Strain Index Predictions. J Funct Biomater 2023;14:jfb14010041. [PMID: 36662088 PMCID: PMC9864708 DOI: 10.3390/jfb14010041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/25/2022] [Accepted: 01/09/2023] [Indexed: 01/13/2023]  Open
4
In Vivo Intravascular Optical Coherence Tomography (IVOCT) Structural and Blood Flow Imaging Based Mechanical Simulation Analysis of a Blood Vessel. Cardiovasc Eng Technol 2022;13:685-698. [PMID: 35112317 DOI: 10.1007/s13239-022-00608-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/04/2022] [Indexed: 01/27/2023]
5
Lv R, Wang L, Maehara A, Guo X, Zheng J, Samady H, Giddens DP, Mintz GS, Stone GW, Tang D. Image-based biomechanical modeling for coronary atherosclerotic plaque progression and vulnerability prediction. Int J Cardiol 2022;352:1-8. [PMID: 35149139 DOI: 10.1016/j.ijcard.2022.02.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 02/04/2022] [Accepted: 02/07/2022] [Indexed: 01/01/2023]
6
Lv R, Maehara A, Matsumura M, Wang L, Zhang C, Huang M, Guo X, Samady H, Giddens DP, Zheng J, Mintz GS, Tang D. Using Optical Coherence Tomography and Intravascular Ultrasound Imaging to Quantify Coronary Plaque Cap Stress/Strain and Progression: A Follow-Up Study Using 3D Thin-Layer Models. Front Bioeng Biotechnol 2021;9:713525. [PMID: 34497800 PMCID: PMC8419245 DOI: 10.3389/fbioe.2021.713525] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 07/20/2021] [Indexed: 11/13/2022]  Open
7
Carpenter HJ, Gholipour A, Ghayesh MH, Zander AC, Psaltis PJ. In Vivo Based Fluid-Structure Interaction Biomechanics of the Left Anterior Descending Coronary Artery. J Biomech Eng 2021;143:1104434. [PMID: 33729476 DOI: 10.1115/1.4050540] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Indexed: 12/25/2022]
8
Wang L, He L, Jia H, Lv R, Guo X, Yang C, Giddens DP, Samady H, Maehara A, Mintz GS, Yu B, Tang D. Optical Coherence Tomography-Based Patient-Specific Residual Multi-Thrombus Coronary Plaque Models With Fluid-Structure Interaction for Better Treatment Decisions: A Biomechanical Modeling Case Study. J Biomech Eng 2021;143:1107994. [PMID: 33876192 DOI: 10.1115/1.4050911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Indexed: 11/08/2022]
9
Patient-Specific CT-Based Fluid-Structure-Interaction Aorta Model to Quantify Mechanical Conditions for the Investigation of Ascending Aortic Dilation in TOF Patients. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2020;2020:4568509. [PMID: 32849909 PMCID: PMC7439781 DOI: 10.1155/2020/4568509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 06/10/2020] [Accepted: 07/08/2020] [Indexed: 02/05/2023]
10
Wang L, Tang D, Maehara A, Wu Z, Yang C, Muccigrosso D, Matsumura M, Zheng J, Bach R, Billiar KL, Stone GW, Mintz GS. Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change. Comput Methods Biomech Biomed Engin 2020;23:1267-1276. [PMID: 32696674 DOI: 10.1080/10255842.2020.1795838] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
11
Hirschhorn M, Tchantchaleishvili V, Stevens R, Rossano J, Throckmorton A. Fluid–structure interaction modeling in cardiovascular medicine – A systematic review 2017–2019. Med Eng Phys 2020;78:1-13. [DOI: 10.1016/j.medengphy.2020.01.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 01/18/2020] [Accepted: 01/26/2020] [Indexed: 01/06/2023]
12
Ahmadi M, Ansari R. Computational simulation of an artery narrowed by plaque using 3D FSI method: influence of the plaque angle, non-Newtonian properties of the blood flow and the hyperelastic artery models. Biomed Phys Eng Express 2019. [DOI: 10.1088/2057-1976/ab323f] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
13
Wang Q, Tang D, Wang L, Canton G, Wu Z, Hatsukami TS, Billiar KL, Yuan C. Combining morphological and biomechanical factors for optimal carotid plaque progression prediction: An MRI-based follow-up study using 3D thin-layer models. Int J Cardiol 2019;293:266-271. [PMID: 31301863 DOI: 10.1016/j.ijcard.2019.07.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 05/24/2019] [Accepted: 07/02/2019] [Indexed: 11/24/2022]
14
Polzer S, Polišenská A, Novák K, Burša J. Moderate thickness of lipid core in shoulder region of atherosclerotic plaque determines vulnerable plaque A parametric study. Med Eng Phys 2019;69:140-146. [PMID: 31160196 DOI: 10.1016/j.medengphy.2019.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 04/10/2019] [Accepted: 04/14/2019] [Indexed: 10/26/2022]
15
Guo X, Giddens D, Molony D, Yang C, Samady H, Zheng J, Matsumura M, Mintz G, Maehara A, Wang L, Tang D. A Multi-Modality Image-Based FSI Modeling Approach for Prediction of Coronary Plaque Progression Using IVUS and OCT Data with Follow-Up. J Biomech Eng 2019;141:2735312. [PMID: 31141591 DOI: 10.1115/1.4043866] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Indexed: 11/08/2022]
16
Multi-factor decision-making strategy for better coronary plaque burden increase prediction: a patient-specific 3D FSI study using IVUS follow-up data. Biomech Model Mechanobiol 2019;18:1269-1280. [DOI: 10.1007/s10237-019-01143-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 03/22/2019] [Indexed: 10/27/2022]
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