Department of Biomedical Engineering, University of Minnesota Twin Cities, 312 Church St. SE, 7-105 Nils Hasselmo Hall, Minneapolis, MN 55455, USA.
Mechanical, Industrial, and Manufacturing Engineering, The University of Toledo, 2801 Bancroft St, Toledo, OH 43606, USA.
Neurosurg Clin N Am. 2022 Oct;33(4):431-441. doi: 10.1016/j.nec.2022.06.002. Epub 2022 Sep 11.
Predicting rupture risk in intracranial aneurysms is among one of the most critical questions in vascular surgery. The processes that govern an aneurysm growth are multifaceted and complex, but may be summarized into three components: hemodynamics, biology, and mechanics. We review and connect the literature in the three disciplines, identifying considerable strides in recent history and current gaps in research. Taken together, the findings from each field elucidate how and why certain aneurysms rupture, whereas others remain stable. These parameters could eventually inform a translatable predictive model that optimizes risk evaluation and physician's decision-making in treatment options for aneurysms.
预测颅内动脉瘤破裂风险是血管外科学中最重要的问题之一。控制动脉瘤生长的过程是多方面且复杂的，但可以概括为三个组成部分：血液动力学、生物学和力学。我们回顾了这三个学科的文献，确定了近年来的重大进展和当前研究中的差距。总的来说，每个领域的研究结果都阐明了为什么某些动脉瘤会破裂，而其他动脉瘤则保持稳定。这些参数最终可能会为可转化的预测模型提供信息，从而优化风险评估，并为医生在动脉瘤治疗选择方面提供决策依据。
