Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment
Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-phase II: rupture risk assessment
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DOI：
10.1007/s11548-019-01986-2
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发表时间：
2019-10-01
影响因子：
3
通讯作者：
Beuing, Oliver
中科院分区：
文献类型：
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作者：
Berg, Philipp;Voss, Samuel;Beuing, Oliver
目的 评估颅内动脉瘤 (IA) 的破裂概率仍然具有挑战性。因此，血流动力学模拟越来越多地应用于支持医生制定治疗计划。然而，由于多种假设，这些方法的临床接受度仍然有限。方法 为了概述最先进的血流模拟功能，开展了 2018 年多发性动脉瘤解剖挑战赛 (MATCH)。来自世界各地的 17 个研究小组进行了分割和血流动力学模拟，以识别患有 5 个 IAs 的患者的破裂动脉瘤。尽管模拟设置显示出良好的相似性，但在动脉瘤形状和血流结果的分析方面存在明显的差异。大多数组 (12/71%) 在他们的分析中包括形态和血流动力学参数，其中长宽比和壁剪切应力分别是最受欢迎的候选参数。结果大多数组（7/41%）选择最大的动脉瘤作为破裂的动脉瘤。四个参与组 (24%) 能够正确选择破裂的动脉瘤，而三个组 (18%) 将破裂的动脉瘤列为第二可能。成功的选择基于动脉瘤部位等临床相关信息的整合，以及考虑多个参数的高级破裂概率模型。此外，流入射流的量化和多个涡流的识别等流动特性也导致了正确的预测。结论 MATCH 比较了最先进的基于图像的血流模拟方法来评估 IAs 的破裂风险。此外，这一挑战凸显了通过将临床相关元数据与先进的形态学和血流动力学量化相结合进行多变量分析的重要性。
Purpose Assessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. However, due to several assumptions, the clinical acceptance of these methods remains limited. Methods To provide an overview of state-of-the-art blood flow simulation capabilities, the Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH) was conducted. Seventeen research groups from all over the world performed segmentations andhemodynamic simulations to identify the ruptured aneurysm in a patient harboring five IAs. Although simulation setups revealed good similarity, clear differences exist with respect to the analysis of aneurysm shape and blood flow results. Most groups (12/71%) included morphological and hemodynamic parameters in their analysis, with aspect ratio and wall shear stress as the most popular candidates, respectively. Results The majority of groups (7/41%) selected the largest aneurysm as being the ruptured one. Four (24%) of the participating groups were able to correctly select the ruptured aneurysm, while three groups (18%) ranked the ruptured aneurysm as the second most probable. Successful selections were based on the integration of clinically relevant information such as the aneurysm site, as well as advanced rupture probability models considering multiple parameters. Additionally, flow characteristics such as the quantification of inflow jets and the identification of multiple vortices led to correct predictions. Conclusions MATCH compares state-of-the-art image-based blood flow simulation approaches to assess the rupture risk of IAs. Furthermore, this challenge highlights the importance of multivariate analyses by combining clinically relevant metadata with advanced morphological and hemodynamic quantification.