Komiya Kenji, Imada Shuta, Ujihara Yoshihiro, Sugita Shukei, Nakamura Masanori
Department of Electrical and Mechanical Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.
Bioengineering (Basel). 2024 Aug 28;11(9):871. doi: 10.3390/bioengineering11090871.
Thrombus formation plays a crucial role in the clinical treatment of certain diseases. In conditions such as aortic dissection and cerebral aneurysm, complete thrombus occlusion in the affected region is desired to reduce blood flow into the false lumen or aneurysm sac, leading to a decrease in the tension exerted on the vascular wall and making it less likely to rupture. However, desired thrombosis sometimes fails to occur. Predicting thrombus formation can provide valuable information in such cases. This article offers a comprehensive review of conventional methods for predicting thrombus formation. In reviews conducted from the year 2000 to the present, the number of published related papers every five years has increased more than tenfold. We also found that the predictive methods can be classified into two categories: those based on the hemodynamic evaluation parameters and those based on hemodynamic and mathematical models that simulate the transport and reaction of blood components. Through our discussions, we identified several challenges that need to be resolved, including predictions based on patient-specific condition, model validation, multi-scale problems, the mechanisms of thrombus formation, and ensuring cost effectiveness. This review aims to guide researchers interested in exploring thrombus formation prediction within clinical treatments.
血栓形成在某些疾病的临床治疗中起着至关重要的作用。在诸如主动脉夹层和脑动脉瘤等病症中，期望在受影响区域实现完全血栓闭塞，以减少流入假腔或动脉瘤囊的血流，从而降低血管壁上的张力，减少破裂的可能性。然而，有时期望的血栓形成并未发生。在这种情况下，预测血栓形成可以提供有价值的信息。本文对预测血栓形成的传统方法进行了全面综述。在2000年至目前进行的综述中，每五年发表的相关论文数量增加了十多倍。我们还发现，预测方法可分为两类：基于血流动力学评估参数的方法和基于模拟血液成分运输和反应的血流动力学及数学模型的方法。通过我们的讨论，我们确定了几个需要解决的挑战，包括基于患者特定情况的预测、模型验证、多尺度问题、血栓形成机制以及确保成本效益。本综述旨在指导对临床治疗中探索血栓形成预测感兴趣的研究人员。
