Literature DB >> 29127185

Advances in computational modelling for personalised medicine after myocardial infarction.

Kenneth Mangion1,2, Hao Gao3, Dirk Husmeier3, Xiaoyu Luo3, Colin Berry1,2.   

Abstract

Myocardial infarction (MI) is a leading cause of premature morbidity and mortality worldwide. Determining which patients will experience heart failure and sudden cardiac death after an acute MI is notoriously difficult for clinicians. The extent of heart damage after an acute MI is informed by cardiac imaging, typically using echocardiography or sometimes, cardiac magnetic resonance (CMR). These scans provide complex data sets that are only partially exploited by clinicians in daily practice, implying potential for improved risk assessment. Computational modelling of left ventricular (LV) function can bridge the gap towards personalised medicine using cardiac imaging in patients with post-MI. Several novel biomechanical parameters have theoretical prognostic value and may be useful to reflect the biomechanical effects of novel preventive therapy for adverse remodelling post-MI. These parameters include myocardial contractility (regional and global), stiffness and stress. Further, the parameters can be delineated spatially to correspond with infarct pathology and the remote zone. While these parameters hold promise, there are challenges for translating MI modelling into clinical practice, including model uncertainty, validation and verification, as well as time-efficient processing. More research is needed to (1) simplify imaging with CMR in patients with post-MI, while preserving diagnostic accuracy and patient tolerance (2) to assess and validate novel biomechanical parameters against established prognostic biomarkers, such as LV ejection fraction and infarct size. Accessible software packages with minimal user interaction are also needed. Translating benefits to patients will be achieved through a multidisciplinary approach including clinicians, mathematicians, statisticians and industry partners. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  acute myocardial infarction; advanced cardiac imaging; cardiac imaging and diagnostics; cardiac magnetic resonance (CMR) imaging

Mesh:

Year:  2017        PMID: 29127185     DOI: 10.1136/heartjnl-2017-311449

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  7 in total

1.  Exosomes derived from human placental mesenchymal stem cells ameliorate myocardial infarction via anti-inflammation and restoring gut dysbiosis.

Authors:  Libo Yang; Ting Wang; Xiaoxia Zhang; Hua Zhang; Ning Yan; Guoshan Zhang; Ru Yan; Yiwei Li; Jingjing Yu; Jun He; Shaobin Jia; Hao Wang
Journal:  BMC Cardiovasc Disord       Date:  2022-02-17       Impact factor: 2.298

2.  Bayesian optimisation for efficient parameter inference in a cardiac mechanics model of the left ventricle.

Authors:  Agnieszka Borowska; Hao Gao; Alan Lazarus; Dirk Husmeier
Journal:  Int J Numer Method Biomed Eng       Date:  2022-04-07       Impact factor: 2.648

3.  Personalized intervention cardiology with transcatheter aortic valve replacement made possible with a non-invasive monitoring and diagnostic framework.

Authors:  Seyedvahid Khodaei; Alison Henstock; Reza Sadeghi; Stephanie Sellers; Philipp Blanke; Jonathon Leipsic; Ali Emadi; Zahra Keshavarz-Motamed
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

4.  Effect of myofibre architecture on ventricular pump function by using a neonatal porcine heart model: from DT-MRI to rule-based methods.

Authors:  Debao Guan; Jiang Yao; Xiaoyu Luo; Hao Gao
Journal:  R Soc Open Sci       Date:  2020-04-08       Impact factor: 2.963

5.  A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.

Authors:  Scott I Heath Richardson; Hao Gao; Jennifer Cox; Rob Janiczek; Boyce E Griffith; Colin Berry; Xiaoyu Luo
Journal:  Int J Numer Method Biomed Eng       Date:  2021-02-28       Impact factor: 2.747

6.  Ginsenoside Rg3 alleviates inflammation in a rat model of myocardial infarction via the SIRT1/NF-κB pathway.

Authors:  Chenchen Tu; Baoyan Wan; Yong Zeng
Journal:  Exp Ther Med       Date:  2020-10-22       Impact factor: 2.447

Review 7.  Taking It Personally: 3D Bioprinting a Patient-Specific Cardiac Patch for the Treatment of Heart Failure.

Authors:  Niina Matthews; Berto Pandolfo; Daniel Moses; Carmine Gentile
Journal:  Bioengineering (Basel)       Date:  2022-02-25
  7 in total

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