TY - JOUR
T1 - Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II
T2 - rupture risk assessment
AU - Berg, Philipp
AU - Voß, Samuel
AU - Janiga, Gábor
AU - Saalfeld, Sylvia
AU - Bergersen, Aslak W.
AU - Valen-Sendstad, Kristian
AU - Bruening, Jan
AU - Goubergrits, Leonid
AU - Spuler, Andreas
AU - Chiu, Tin Lok
AU - Tsang, Anderson Chun On
AU - Copelli, Gabriele
AU - Csippa, Benjamin
AU - Paál, György
AU - Závodszky, Gábor
AU - Detmer, Felicitas J.
AU - Chung, Bong J.
AU - Cebral, Juan R.
AU - Fujimura, Soichiro
AU - Takao, Hiroyuki
AU - Karmonik, Christof
AU - Elias, Saba
AU - Cancelliere, Nicole M.
AU - Najafi, Mehdi
AU - Steinman, David A.
AU - Pereira, Vitor M.
AU - Piskin, Senol
AU - Finol, Ender A.
AU - Pravdivtseva, Mariya
AU - Velvaluri, Prasanth
AU - Rajabzadeh-Oghaz, Hamidreza
AU - Paliwal, Nikhil
AU - Meng, Hui
AU - Seshadhri, Santhosh
AU - Venguru, Sreenivas
AU - Shojima, Masaaki
AU - Sindeev, Sergey
AU - Frolov, Sergey
AU - Qian, Yi
AU - Wu, Yu An
AU - Carlson, Kent D.
AU - Kallmes, David F.
AU - Dragomir-Daescu, Dan
AU - Beuing, Oliver
N1 - Publisher Copyright:
© 2019, CARS.
PY - 2019/10/1
Y1 - 2019/10/1
N2 - 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.
AB - 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.
KW - Hemodynamic simulation
KW - International challenge
KW - Intracranial aneurysm
KW - Rupture risk
UR - http://www.scopus.com/inward/record.url?scp=85065288826&partnerID=8YFLogxK
U2 - 10.1007/s11548-019-01986-2
DO - 10.1007/s11548-019-01986-2
M3 - Article
C2 - 31054128
AN - SCOPUS:85065288826
SN - 1861-6410
VL - 14
SP - 1795
EP - 1804
JO - International Journal of Computer Assisted Radiology and Surgery
JF - International Journal of Computer Assisted Radiology and Surgery
IS - 10
ER -