先天性心脏病心脏结构与功能的计算分析：将研究成果转化为临床策略。
Computational analysis of cardiac structure and function in congenital heart disease: Translating discoveries to clinical strategies.
作者信息
Forsch Nickolas, Govil Sachin, Perry James C, Hegde Sanjeet, Young Alistair A, Omens Jeffrey H, McCulloch Andrew D
机构信息
Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Department of Pediatrics, University of California San Diego, La Jolla, CA, USA.
出版信息
J Comput Sci. 2021 May;52. doi: 10.1016/j.jocs.2020.101211. Epub 2020 Sep 19.
Increased availability and access to medical image data has enabled more quantitative approaches to clinical diagnosis, prognosis, and treatment planning for congenital heart disease. Here we present an overview of long-term clinical management of tetralogy of Fallot (TOF) and its intersection with novel computational and data science approaches to discovering biomarkers of functional and prognostic importance. Efforts in translational medicine that seek to address the clinical challenges associated with cardiovascular diseases using personalized and precision-based approaches are then discussed. The considerations and challenges of translational cardiovascular medicine are reviewed, and examples of digital platforms with collaborative, cloud-based, and scalable design are provided.
医学影像数据的可用性增加以及获取途径增多，使得先天性心脏病的临床诊断、预后评估和治疗规划有了更多定量方法。在此，我们概述法洛四联症（TOF）的长期临床管理，以及它与发现功能和预后重要生物标志物的新型计算和数据科学方法的交叉点。接着讨论了转化医学中旨在通过个性化和精准方法应对心血管疾病相关临床挑战的努力。回顾了转化心血管医学的考量因素和挑战，并提供了具有协作、基于云且可扩展设计的数字平台示例。
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