{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T12:56:54Z","timestamp":1753880214457,"version":"3.41.2"},"reference-count":39,"publisher":"ASME International","issue":"2","license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.asme.org\/publications-submissions\/publishing-information\/legal-policies"}],"content-domain":{"domain":["asmedigitalcollection.asme.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In recent years, transcatheter edge-to-edge repair (TEER) has been widely adopted as an effective treatment for mitral regurgitation (MR). The aim of this study is to develop a personalized in silico model to predict the effect of edge-to-edge repair in advance to the procedure for each individual patient. For this purpose, we propose a combination of a valve deformation model for computing the mitral valve (MV) orifice area (MVOA) and a lumped parameter model for the hemodynamics, specifically mitral regurgitation volume (RVol). Although we cannot obtain detailed information on the three-dimensional flow field near the mitral valve, we can rapidly simulate the important medical parameters for the clinical decision support. In the present method, we construct the patient-specific pre-operative models by using the parameter optimization and then simulate the postoperative state by applying the additional clipping condition. The computed preclip MVOAs show good agreement with the clinical measurements, and the correlation coefficient takes 0.998. In addition, the MR grade in terms of RVol also has good correlation with the grade by ground truth MVOA. Finally, we try to investigate the applicability for the predicting the postclip state. The simulated valve shapes clearly show the well-known double orifice and the improvement of the MVOA, compared with the preclip state. Similarly, we confirmed the improved reverse flow and MR grade in terms of RVol. A total computational time is approximately 8\u2009h by using general-purpose PC. These results obviously indicate that the present in silico model has good capability for the assessment of edge-to-edge repair.<\/jats:p>","DOI":"10.1115\/1.4064055","type":"journal-article","created":{"date-parts":[[2023,11,18]],"date-time":"2023-11-18T03:33:36Z","timestamp":1700278416000},"update-policy":"https:\/\/doi.org\/10.1115\/crossmarkpolicy-asme","source":"Crossref","is-referenced-by-count":0,"title":["An In Silico Model for Predicting the Efficacy of Edge-to-Edge Repair for Mitral Regurgitation"],"prefix":"10.1115","volume":"146","author":[{"given":"Junichi","family":"Ooida","sequence":"first","affiliation":[{"name":"Canon Inc. , 3-30-2 Shimomaruko, Ota-ku, Tokyo 146-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9702-9595","authenticated-orcid":false,"given":"Naoki","family":"Kiyohara","sequence":"additional","affiliation":[{"name":"Canon Inc. , 3-30-2 Shimomaruko, Ota-ku, Tokyo 146-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hironaga","family":"Noguchi","sequence":"additional","affiliation":[{"name":"Canon Inc. , 3-30-2 Shimomaruko, Ota-ku, Tokyo 146-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuichiro","family":"Oguchi","sequence":"additional","affiliation":[{"name":"Canon Inc. , 3-30-2 Shimomaruko, Ota-ku, Tokyo 146-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kohei","family":"Nagane","sequence":"additional","affiliation":[{"name":"Canon Inc. , 3-30-2 Shimomaruko, Ota-ku, Tokyo 146-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takuya","family":"Sakaguchi","sequence":"additional","affiliation":[{"name":"Canon Medical Systems Corporation , 1385 Shimoishigami, Ohtawara, Tochigi 324-8550, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gakuto","family":"Aoyama","sequence":"additional","affiliation":[{"name":"Canon Medical Systems Corporation , 1385 Shimoishigami, Ohtawara, Tochigi 324-8550, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fumimasa","family":"Shige","sequence":"additional","affiliation":[{"name":"Canon Medical Systems Corporation , 1385 Shimoishigami, Ohtawara, Tochigi 324-8550, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James V.","family":"Chapman","sequence":"additional","affiliation":[{"name":"Canon Medical Informatics, Inc. , 5850 Opus Parkway, Suite 300, Minnetonka, MN 55343"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masahiko","family":"Asami","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Mitsui Memorial Hospital , 1 Kandaizumi-cho, Chiyoda-ku, Tokyo 101-8643, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Klaus Fuglsang","family":"Kofoed","sequence":"additional","affiliation":[{"name":"Department of Cardiology and Radiology, Rigshospitalet & University of Copenhagen , Blegdamsvej 9, K\u00f8benhavn 2100, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, Rigshospitalet & University of Copenhagen, Blegdamsvej 9, K\u00f8benhavn 2100, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael Huy Cuong","family":"Pham","sequence":"additional","affiliation":[{"name":"Department of Cardiology and Radiology, Rigshospitalet & University of Copenhagen , Blegdamsvej 9, K\u00f8benhavn 2100, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, Rigshospitalet & University of Copenhagen, Blegdamsvej 9, K\u00f8benhavn 2100, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koshiro","family":"Suzuki","sequence":"additional","affiliation":[{"name":"Canon Inc. , 3-30-2 Shimomaruko, Ota-ku, Tokyo 146-8501, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"33","published-online":{"date-parts":[[2023,12,12]]},"reference":[{"issue":"21","key":"2023121318411620300_bib1","doi-asserted-by":"crossref","first-page":"1670","DOI":"10.1161\/CIRCULATIONAHA.119.043391","article-title":"Global, Regional, and National Burden of Calcific Aortic Valve and Degenerative Mitral Valve Diseases, 1990\u20132017","volume":"141","year":"2020","journal-title":"Circulation"},{"key":"2023121318411620300_bib2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2147\/VHRM.S65185","article-title":"Critical Evaluation of the MitraClip System in the Management of Mitral Regurgitation","year":"2016","journal-title":"Vasc. Health Risk Manage."},{"issue":"8","key":"2023121318411620300_bib3","first-page":"1","article-title":"The PASCAL Device-Early Experience With a Leaflet Approximation Device: What Are the Benefits\/Limitations Compared With the MitraClip?","volume":"22","year":"2020","journal-title":"Curr. Cardiol. Rep."},{"issue":"15","key":"2023121318411620300_bib4","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1056\/NEJMoa1009355","article-title":"Percutaneous Repair or Surgery for Mitral Regurgitation","volume":"364","year":"2011","journal-title":"N. Engl. J. Med."},{"issue":"20","key":"2023121318411620300_bib5","first-page":"2402","article-title":"Transcatheter Edge-to-Edge Mitral Valve Repair With the MitraClip G4 System","volume":"13","year":"2020","journal-title":"JACC: Cardiovasc. Interventions"},{"key":"2023121318411620300_bib6","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1007\/0-306-46956-1","article-title":"Heart Simulation by an Immersed Boundary Method With Formal Second-Order Accuracy and Reduced Numerical Viscosity","volume-title":"Mechanics for a New Mellennium","author":"Aref","year":"2002"},{"issue":"9","key":"2023121318411620300_bib7","doi-asserted-by":"crossref","first-page":"e0184729","DOI":"10.1371\/journal.pone.0184729","article-title":"Fully-Coupled Fluid-Structure Interaction Simulation of the Aortic and Mitral Valves in a Realistic 3D Left Ventricle Model","volume":"12","year":"2017","journal-title":"Plos One"},{"issue":"1","key":"2023121318411620300_bib8","doi-asserted-by":"crossref","first-page":"15823","DOI":"10.1038\/s41598-019-52342-y","article-title":"Numerical Simulations of MitraClip Placement: Clinical Implications","volume":"9","year":"2019","journal-title":"Sci. Rep."},{"issue":"1","key":"2023121318411620300_bib9","doi-asserted-by":"crossref","first-page":"17306","DOI":"10.1038\/s41598-018-35555-5","article-title":"New Insights Into Mitral Heart Valve Prolapse After Chordae Rupture Through Fluid\u2013Structure Interaction Computational Modeling","volume":"8","year":"2018","journal-title":"Sci. Rep."},{"issue":"7","key":"2023121318411620300_bib10","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1016\/j.media.2012.05.009","article-title":"An Integrated Framework for Finite-Element Modeling of Mitral Valve Biomechanics From Medical Images: Application to MitralClip Intervention Planning","volume":"16","year":"2012","journal-title":"Med. Image Anal."},{"issue":"1","key":"2023121318411620300_bib11","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s13239-016-0291-9","article-title":"Finite Element Analysis of Patient-Specific Mitral Valve With Mitral Regurgitation","volume":"8","year":"2017","journal-title":"Cardiovasc. Eng. Technol."},{"key":"2023121318411620300_bib12","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/978-3-642-21028-0","article-title":"Anisotropic Mass-Spring Method Accurately Simulates Mitral Valve Closure From Image-Based Models","volume-title":"Functional Imaging and Modeling of the Heart","author":"Metaxas","year":"2011"},{"key":"2023121318411620300_bib13","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.medengphy.2017.07.001","article-title":"Mass-Spring Models for the Simulation of Mitral Valve Function: Looking for a Trade-Off Between Reliability and Time-Efficiency","volume":"47","year":"2017","journal-title":"Med. Eng. Phys."},{"key":"2023121318411620300_bib14","first-page":"483","article-title":"Die Grundform Des Arteriellen Pulses","volume":"37","year":"1899","journal-title":"Z. F\u00fcr Biol."},{"issue":"5","key":"2023121318411620300_bib15","doi-asserted-by":"crossref","first-page":"H1733","DOI":"10.1152\/ajpheart.1998.275.5.H1733","article-title":"Interaction Between Carotid Baroregulation and the Pulsating Heart: A Mathematical Model","volume":"275","year":"1998","journal-title":"Am. J. Physiol.-Heart Circ. Physiol."},{"issue":"11","key":"2023121318411620300_bib16","doi-asserted-by":"crossref","first-page":"2162","DOI":"10.1016\/j.jbiomech.2015.11.030","article-title":"Data Assimilation and Modelling of Patient-Specific Single-Ventricle Physiology With and Without Valve Regurgitation","volume":"49","year":"2016","journal-title":"J. Biomech."},{"issue":"11","key":"2023121318411620300_bib17","doi-asserted-by":"crossref","first-page":"e02768","DOI":"10.1002\/cnm.2768","article-title":"Cardiovascular Disease-Induced Thermal Responses During Passive Heat Stress: An Integrated Computational Study","volume":"32","year":"2016","journal-title":"Int. J. Numer. Methods Biomed. Eng."},{"issue":"11","key":"2023121318411620300_bib18","doi-asserted-by":"crossref","first-page":"2450","DOI":"10.1109\/TBME.2018.2797999","article-title":"A Lumped Parameter Model to Study Atrioventricular Valve Regurgitation in Stage 1 and Changes Across Stage 2 Surgery in Single Ventricle Patients","volume":"65","year":"2018","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"2023121318411620300_bib19","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3390\/jimaging8010011","article-title":"Automatic Aortic Valve Cusps Segmentation From CT Images Based on the Cascading Multiple Deep Neural Networks","volume":"8","year":"2022","journal-title":"J. Imaging"},{"article-title":"CNN-Based Fully Automatic Mitral Valve Extraction Using CT Images and Existence Probability Maps","volume-title":"arXiv:2305.00627","year":"2023","key":"2023121318411620300_bib20"},{"issue":"1879","key":"2023121318411620300_bib21","doi-asserted-by":"crossref","first-page":"3411","DOI":"10.1098\/rsta.2008.0095","article-title":"Mitral Valve Finite-Element Modelling From Ultrasound Data: A Pilot Study for a New Approach to Understand Mitral Function and Clinical Scenarios","volume":"366","year":"2008","journal-title":"Philos. Trans. R. Soc., A"},{"issue":"3","key":"2023121318411620300_bib22","first-page":"386","article-title":"Three-Dimensional Asymmetrical Modeling of the Mitral Valve: A Finite Element Study With Dynamic Boundaries","volume":"14","year":"2005","journal-title":"J. Heart Valve Dis."},{"issue":"13","key":"2023121318411620300_bib23","doi-asserted-by":"crossref","first-page":"2409","DOI":"10.1016\/j.jbiomech.2011.06.030","article-title":"Fluid-Structure Interaction Study of the Edge-to-Edge Repair Technique on the Mitral Valve","volume":"44","year":"2011","journal-title":"J. Biomech."},{"issue":"4","key":"2023121318411620300_bib24","doi-asserted-by":"crossref","first-page":"942","DOI":"10.1007\/s10439-015-1385-5","article-title":"Fluid-Structure Interaction Analysis of Papillary Muscle Forces Using a Comprehensive Mitral Valve Model With 3D Chordal Structure","volume":"44","year":"2016","journal-title":"Ann. Biomed. Eng."},{"issue":"2","key":"2023121318411620300_bib25","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s13239-014-0208-4","article-title":"Functional and Biomechanical Effects of the Edge-to-Edge Repair in the Setting of Mitral Regurgitation: Consolidated Knowledge and Novel Tools to Gain Insight Into Its Percutaneous Implementation","volume":"6","year":"2015","journal-title":"Cardiovasc. Eng. Technol."},{"issue":"1","key":"2023121318411620300_bib26","doi-asserted-by":"crossref","first-page":"18012","DOI":"10.1038\/s41598-022-22790-0","article-title":"In Vivo Assessment of Mitral Valve Leaflet Remodelling Following Myocardial Infarction","volume":"12","year":"2022","journal-title":"Sci. Rep."},{"issue":"12","key":"2023121318411620300_bib27","doi-asserted-by":"crossref","first-page":"121010","DOI":"10.1115\/1.4000107","article-title":"Mitral Valve Finite Element Modeling: Implications of Tissues' Nonlinear Response and Annular Motion","volume":"131","year":"2009","journal-title":"ASME J. Biomech. Eng."},{"issue":"6\u20137","key":"2023121318411620300_bib28","first-page":"626","article-title":"A Simple, Versatile Valve Model for Use in Lumped Parameter and One-Dimensional Cardiovascular Models","volume":"28","year":"2012","journal-title":"Int. J. Numer. Methods Biomed. Eng."},{"key":"2023121318411620300_bib29","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1109\/ICEC.1996.542381","article-title":"Adapting Arbitrary Normal Mutation Distributions in Evolution Strategies: The Covariance Matrix Adaptation","volume-title":"Proceedings of IEEE International Conference on Evolutionary Computation","year":"1996"},{"key":"2023121318411620300_bib30","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1007\/b100601","article-title":"Evaluating the CMA Evolution Strategy on Multimodal Test Functions","volume-title":"Parallel Problem Solving From Nature - PPSN VIII","author":"Yao","year":"2004"},{"issue":"2","key":"2023121318411620300_bib31","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1161\/01.CIR.86.2.513","article-title":"Effective Arterial Elastance as Index of Arterial Vascular Load in Humans","volume":"86","year":"1992","journal-title":"Circulation"},{"issue":"7","key":"2023121318411620300_bib32","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1016\/S0735-1097(01)01651-5","article-title":"Noninvasive Single-Beat Determination of Left Ventricular End-Systolic Elastance in Humans","volume":"38","year":"2001","journal-title":"J. Am. Coll. Cardiol."},{"issue":"4","key":"2023121318411620300_bib33","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1093\/comjnl\/7.4.308","article-title":"A Simplex Method for Function Minimization","volume":"7","year":"1965","journal-title":"Comput. J."},{"issue":"1","key":"2023121318411620300_bib34","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s10589-010-9329-3","article-title":"Implementing the Nelder-Mead Simplex Algorithm With Adaptive Parameters","volume":"51","year":"2012","journal-title":"Comput. Optim. Appl."},{"key":"2023121318411620300_bib35","doi-asserted-by":"crossref","first-page":"432","DOI":"10.3389\/fphys.2020.00432","article-title":"A Comprehensive Engineering Analysis of Left Heart Dynamics After MitraClip in a Functional Mitral Regurgitation Patient","volume":"11","year":"2020","journal-title":"Front. Physiol."},{"key":"2023121318411620300_bib36","doi-asserted-by":"crossref","first-page":"105855","DOI":"10.1016\/j.compbiomed.2022.105855","article-title":"Quantification of Mitral Regurgitation After Transcatheter Edge-to-Edge Repair: Comparison of Echocardiography and Patient-Specific in Silico Models","volume":"148","year":"2022","journal-title":"Comput. Biol. Med."},{"issue":"4","key":"2023121318411620300_bib37","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1016\/j.echo.2017.01.007","article-title":"Recommendations for Noninvasive Evaluation of Native Valvular Regurgitation: A Report From the American Society of Echocardiography Developed in Collaboration With the Society for Cardiovascular Magnetic Resonance","volume":"30","year":"2017","journal-title":"J. Am. Soc. Echocardiography"},{"issue":"8","key":"2023121318411620300_bib38","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1056\/NEJM196908212810807","article-title":"Mitral Regurgitation","volume":"281","year":"1969","journal-title":"N. Engl. J. Med."},{"issue":"4","key":"2023121318411620300_bib39","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1093\/ejechocard\/jer244","article-title":"Determinants of Regurgitant Volume in Mitral Regurgitation: Contrasting Effect of Similar Effective Regurgitant Orifice Area in Functional and Organic Mitral Regurgitation","volume":"13","year":"2012","journal-title":"Eur. Heart J. - Cardiovasc. Imaging"}],"container-title":["Journal of Biomechanical Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/asmedigitalcollection.asme.org\/biomechanical\/article-pdf\/146\/2\/021004\/7220467\/bio_146_02_021004.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/asmedigitalcollection.asme.org\/biomechanical\/article-pdf\/146\/2\/021004\/7220467\/bio_146_02_021004.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T18:42:03Z","timestamp":1702492923000},"score":1,"resource":{"primary":{"URL":"https:\/\/asmedigitalcollection.asme.org\/biomechanical\/article\/146\/2\/021004\/1170264\/An-In-Silico-Model-for-Predicting-the-Efficacy-of"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,12]]},"references-count":39,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,2,1]]}},"URL":"https:\/\/doi.org\/10.1115\/1.4064055","relation":{},"ISSN":["0148-0731","1528-8951"],"issn-type":[{"type":"print","value":"0148-0731"},{"type":"electronic","value":"1528-8951"}],"subject":[],"published":{"date-parts":[[2023,12,12]]},"article-number":"021004"}}