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Personalized Perioperative Multi-scale, Multi-physics Heart Simulation of Double Outlet Right Ventricle
For treatment of complex congenital heart disease, computer simulation using a three-dimensional heart model may help to improve outcomes by enabling detailed preoperative evaluations. However, no highly integrated model that accurately reproduces a patient’s pathophysiology, which is required for t...
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| Published in: | Annals of biomedical engineering 2020-06, Vol.48 (6), p.1740-1750 |
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| cited_by | cdi_FETCH-LOGICAL-c375t-f4a61ad571461821568645482aba116cd3675795be86ca08734d9726dc5032733 |
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| cites | cdi_FETCH-LOGICAL-c375t-f4a61ad571461821568645482aba116cd3675795be86ca08734d9726dc5032733 |
| container_end_page | 1750 |
| container_issue | 6 |
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| container_title | Annals of biomedical engineering |
| container_volume | 48 |
| creator | Kariya, Taro Washio, Takumi Okada, Jun-ichi Nakagawa, Machiko Watanabe, Masahiro Kadooka, Yoshimasa Sano, Shunji Nagai, Ryozo Sugiura, Seiryo Hisada, Toshiaki |
| description | For treatment of complex congenital heart disease, computer simulation using a three-dimensional heart model may help to improve outcomes by enabling detailed preoperative evaluations. However, no highly integrated model that accurately reproduces a patient’s pathophysiology, which is required for this simulation has been reported. We modelled a case of complex congenital heart disease, double outlet right ventricle with ventricular septal defect and atrial septal defect. From preoperative computed tomography images, finite element meshes of the heart and torso were created, and cell model of cardiac electrophysiology and sarcomere dynamics was implemented. The parameter values of the heart model were adjusted to reproduce the patient’s electrocardiogram and haemodynamics recorded preoperatively. Two options of
in silico
surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel
in silico
model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by
in silico
surgeries can help guide clinical decision-making. |
| doi_str_mv | 10.1007/s10439-020-02488-y |
| format | article |
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in silico
surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel
in silico
model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by
in silico
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in silico
surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel
in silico
model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by
in silico
surgeries can help guide clinical decision-making.</description><subject>Biochemistry</subject><subject>Biological and Medical Physics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biomedicine</subject><subject>Biophysics</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Classical Mechanics</subject><subject>Computed tomography</subject><subject>Computer simulation</subject><subject>Congenital diseases</subject><subject>Coronary artery disease</subject><subject>Decision making</subject><subject>Double Outlet Right Ventricle - diagnostic imaging</subject><subject>Double Outlet Right Ventricle - physiopathology</subject><subject>EKG</subject><subject>Electrocardiography</subject><subject>Electrophysiology</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Mathematical 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Eng</stitle><addtitle>Ann Biomed Eng</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>48</volume><issue>6</issue><spage>1740</spage><epage>1750</epage><pages>1740-1750</pages><issn>0090-6964</issn><eissn>1573-9686</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><abstract>For treatment of complex congenital heart disease, computer simulation using a three-dimensional heart model may help to improve outcomes by enabling detailed preoperative evaluations. However, no highly integrated model that accurately reproduces a patient’s pathophysiology, which is required for this simulation has been reported. We modelled a case of complex congenital heart disease, double outlet right ventricle with ventricular septal defect and atrial septal defect. From preoperative computed tomography images, finite element meshes of the heart and torso were created, and cell model of cardiac electrophysiology and sarcomere dynamics was implemented. The parameter values of the heart model were adjusted to reproduce the patient’s electrocardiogram and haemodynamics recorded preoperatively. Two options of
in silico
surgery were performed using this heart model, and the resulting changes in performance were examined. Preoperative and postoperative simulations showed good agreement with clinical records including haemodynamics and measured oxyhaemoglobin saturations. The use of a detailed sarcomere model also enabled comparison of energetic efficiency between the two surgical options. A novel
in silico
model of congenital heart disease that integrates molecular models of cardiac function successfully reproduces the observed pathophysiology. The simulation of postoperative state by
in silico
surgeries can help guide clinical decision-making.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>32152800</pmid><doi>10.1007/s10439-020-02488-y</doi><tpages>11</tpages></addata></record> |
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| subjects | Biochemistry Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Cardiovascular disease Cardiovascular diseases Classical Mechanics Computed tomography Computer simulation Congenital diseases Coronary artery disease Decision making Double Outlet Right Ventricle - diagnostic imaging Double Outlet Right Ventricle - physiopathology EKG Electrocardiography Electrophysiology Heart Heart diseases Hemodynamics Humans Mathematical models Medical treatment Models, Cardiovascular Molecular modelling Original Article Pathophysiology Patient-Specific Modeling Patients Perioperative Period Surgery Three dimensional models Tomography, X-Ray Computed Torso Ventricle |
| title | Personalized Perioperative Multi-scale, Multi-physics Heart Simulation of Double Outlet Right Ventricle |
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