Document Type
Article
Publication Date
1-1-2019
Journal / Book Title
International Journal of Computer Assisted Radiology and Surgery
Abstract
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.
DOI
10.1007/s11548-019-01986-2
MSU Digital Commons Citation
Berg, Philipp; Voß, Samuel; Janiga, Gábor; Saalfeld, Sylvia; Bergersen, Aslak W.; Valen-Sendstad, Kristian; Bruening, Jan; Goubergrits, Leonid; Spuler, Andreas; Chiu, Tin Lok; Tsang, Anderson Chun On; Copelli, Gabriele; Csippa, Benjamin; Paál, György; Závodszky, Gábor; Detmer, Felicitas J.; Chung, Bong Jae; Cebral, Juan R.; Fujimura, Soichiro; Takao, Hiroyuki; Karmonik, Christof; Elias, Saba; Cancelliere, Nicole M.; Najafi, Mehdi; Steinman, David A.; Pereira, Vitor M.; Piskin, Senol; Finol, Ender A.; Pravdivtseva, Mariya; and Velvaluri, Prasanth, "Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—Phase II: rupture risk assessment" (2019). Department of Applied Mathematics and Statistics Faculty Scholarship and Creative Works. 91.
https://digitalcommons.montclair.edu/appliedmath-stats-facpubs/91
Published Citation
Berg, P., Voß, S., Janiga, G., Saalfeld, S., Bergersen, A. W., Valen-Sendstad, K., ... & Beuing, O. (2019). Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment. International Journal of Computer Assisted Radiology and Surgery, 14(10), 1795-1804.