King's College London, London, UK.
University of California San Diego, La Jolla, CA, USA.
Philos Trans A Math Phys Eng Sci. 2020 Jun 12;378(2173):20190558. doi: 10.1098/rsta.2019.0558. Epub 2020 May 25.
Patient-specific cardiac models are now being used to guide therapies. The increased use of patient-specific cardiac simulations in clinical care will give rise to the development of virtual cohorts of cardiac models. These cohorts will allow cardiac simulations to capture and quantify inter-patient variability. However, the development of virtual cohorts of cardiac models will require the transformation of cardiac modelling from small numbers of bespoke models to robust and rapid workflows that can create large numbers of models. In this review, we describe the state of the art in virtual cohorts of cardiac models, the process of creating virtual cohorts of cardiac models, and how to generate the individual cohort member models, followed by a discussion of the potential and future applications of virtual cohorts of cardiac models. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
现在,正在使用患者特异性心脏模型来指导治疗。在临床护理中越来越多地使用患者特异性心脏模拟将导致虚拟心脏模型队列的发展。这些队列将允许心脏模拟捕获和量化患者间的变异性。然而,虚拟心脏模型队列的开发将需要将心脏建模从少量定制模型转变为能够创建大量模型的强大而快速的工作流程。在这篇综述中,我们描述了虚拟心脏模型队列的现状、创建虚拟心脏模型队列的过程以及如何生成个体队列成员模型,然后讨论了虚拟心脏模型队列的潜在和未来应用。本文是“心脏和心血管建模与模拟中的不确定性量化”主题特刊的一部分。