• Philipp Berg, Samuel Voß, Gábor Janiga, Sylvia Saalfeld, Aslak W Bergersen, Kristian Valen-Sendstad, Jan Bruening, Leonid Goubergrits, Andreas Spuler, Tin Lok Chiu, Tsang Anderson Chun On ACO University of Hong Kong, Hong Kong, China., Gabriele Copelli, Benjamin Csippa, György Paál, Gábor Závodszky, Felicitas J Detmer, Bong J Chung, Juan R Cebral, Soichiro Fujimura, Hiroyuki Takao, Christof Karmonik, Saba Elias, Nicole M Cancelliere, Mehdi Najafi, David A Steinman, Vitor M Pereira, Senol Piskin, Ender A Finol, Mariya Pravdivtseva, Prasanth Velvaluri, Hamidreza Rajabzadeh-Oghaz, Nikhil Paliwal, Hui Meng, Santhosh Seshadhri, Sreenivas Venguru, Masaaki Shojima, Sergey Sindeev, Sergey Frolov, Yi Qian, Yu-An Wu, Kent D Carlson, David F Kallmes, Dan Dragomir-Daescu, and Oliver Beuing.
• University of Magdeburg, Magdeburg, Germany. berg@ovgu.de.
• Int J Comput Assist Radiol Surg. 2019 Oct 1; 14 (10): 1795-1804.

PurposeAssessing 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.MethodsTo 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 and hemodynamic 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.ResultsThe 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.ConclusionsMATCH 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.

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