A scaling aneurysm model-based approach to assessing the role of flow pattern and energy loss in aneurysm rupture prediction

• DOI: 10.1186/s12967-015-0673-z
• Publication Date: 2015-09-21T21:46:59Z
• Authors: Yunling Long; Jingru Zhong; Hongyu Yu; Huagang Yan; Zhizheng Zhuo; Qianqian Meng; Xinjian Yang; Haiyun Li
• Keywords: Aspect ratio (aeronautics)

Energy loss (EL) was regarded to be one of the key parameters in predicting rupture risk IA. In this paper, we took varied aspect ratio (AR) as a scaling law create series longitudinal models investigate changes flow pattern and EL AR varies, order explore relationship between characteristic with aneurysm risk. Seven original intracranial aneurysms (IA) similar locations were reconstructed from patient 3D rotational angiography (3DRA) images. Based on these models, different ARs created our proposed algorithms. Fluid–solid interaction (FSI) simulations performed every model obtain hemodynamics EL. With increasing, became more complex, vortices appearing gradually (AR > 1.5). Furthermore, velocity significantly decreased high (>1.5). Meanwhile, increased increasing AR. Once exceeded 1.5, changed drastically. potential parameter future unruptured aneurysms. If during growth sharply, strongly recommend an intervention.