Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II

rupture risk assessment

Philipp Berg, Samuel Voß, Gábor Janiga, Sylvia Saalfeld, Aslak W. Bergersen, Kristian Valen-Sendstad, Jan Bruening, Leonid Goubergrits, Andreas Spuler, Tin Lok Chiu, Anderson Chun On Tsang, Gabriele Copelli, Benjamin Csippa, György Paál, Gábor Závodszky, Felicitas J. Detmer, Bong Jae Chung, Juan R. Cebral, Soichiro Fujimura, Hiroyuki Takao & 24 others 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, Oliver Beuing

Research output: Contribution to journalArticleResearchpeer-review

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.

Fingerprint

Hemodynamics
Risk assessment
Aneurysm
Rupture
Anatomy
Blood
Flow simulation
Ruptured Aneurysm
Intracranial Aneurysm
Metadata
Shear stress
Aspect ratio
Vortex flow
Planning
Multivariate Analysis
Physicians
Research

Keywords

  • Hemodynamic simulation
  • International challenge
  • Intracranial aneurysm
  • Rupture risk

Cite this

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 ; Velvaluri, Prasanth ; Rajabzadeh-Oghaz, Hamidreza ; Paliwal, Nikhil ; Meng, Hui ; Seshadhri, Santhosh ; Venguru, Sreenivas ; Shojima, Masaaki ; Sindeev, Sergey ; Frolov, Sergey ; Qian, Yi ; Wu, Yu An ; Carlson, Kent D. ; Kallmes, David F. ; Dragomir-Daescu, Dan ; Beuing, Oliver. / Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II : rupture risk assessment. In: International Journal of Computer Assisted Radiology and Surgery. 2019.
@article{be540fe94ddf4649bddf10835b482e41,
title = "Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment",
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.",
keywords = "Hemodynamic simulation, International challenge, Intracranial aneurysm, Rupture risk",
author = "Philipp Berg and Samuel Vo{\ss} and G{\'a}bor Janiga and Sylvia Saalfeld and Bergersen, {Aslak W.} and Kristian Valen-Sendstad and Jan Bruening and Leonid Goubergrits and Andreas Spuler and Chiu, {Tin Lok} and Tsang, {Anderson Chun On} and Gabriele Copelli and Benjamin Csippa and Gy{\"o}rgy Pa{\'a}l and G{\'a}bor Z{\'a}vodszky and Detmer, {Felicitas J.} and Chung, {Bong Jae} and Cebral, {Juan R.} and Soichiro Fujimura and Hiroyuki Takao and Christof Karmonik and Saba Elias and Cancelliere, {Nicole M.} and Mehdi Najafi and Steinman, {David A.} and Pereira, {Vitor M.} and Senol Piskin and Finol, {Ender A.} and Mariya Pravdivtseva and Prasanth Velvaluri and Hamidreza Rajabzadeh-Oghaz and Nikhil Paliwal and Hui Meng and Santhosh Seshadhri and Sreenivas Venguru and Masaaki Shojima and Sergey Sindeev and Sergey Frolov and Yi Qian and Wu, {Yu An} and Carlson, {Kent D.} and Kallmes, {David F.} and Dan Dragomir-Daescu and Oliver Beuing",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/s11548-019-01986-2",
language = "English",
journal = "International Journal of Computer Assisted Radiology and Surgery",
issn = "1861-6410",

}

Berg, P, Voß, S, Janiga, G, Saalfeld, S, Bergersen, AW, Valen-Sendstad, K, Bruening, J, Goubergrits, L, Spuler, A, Chiu, TL, Tsang, ACO, Copelli, G, Csippa, B, Paál, G, Závodszky, G, Detmer, FJ, Chung, BJ, Cebral, JR, Fujimura, S, Takao, H, Karmonik, C, Elias, S, Cancelliere, NM, Najafi, M, Steinman, DA, Pereira, VM, Piskin, S, Finol, EA, Pravdivtseva, M, Velvaluri, P, Rajabzadeh-Oghaz, H, Paliwal, N, Meng, H, Seshadhri, S, Venguru, S, Shojima, M, Sindeev, S, Frolov, S, Qian, Y, Wu, YA, Carlson, KD, Kallmes, DF, Dragomir-Daescu, D & Beuing, O 2019, 'Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment', International Journal of Computer Assisted Radiology and Surgery. https://doi.org/10.1007/s11548-019-01986-2

Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II : rupture risk assessment. / 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; Velvaluri, Prasanth; Rajabzadeh-Oghaz, Hamidreza; Paliwal, Nikhil; Meng, Hui; Seshadhri, Santhosh; Venguru, Sreenivas; Shojima, Masaaki; Sindeev, Sergey; Frolov, Sergey; Qian, Yi; Wu, Yu An; Carlson, Kent D.; Kallmes, David F.; Dragomir-Daescu, Dan; Beuing, Oliver.

In: International Journal of Computer Assisted Radiology and Surgery, 01.01.2019.

Research output: Contribution to journalArticleResearchpeer-review

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 Jae

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

PY - 2019/1/1

Y1 - 2019/1/1

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

JO - International Journal of Computer Assisted Radiology and Surgery

JF - International Journal of Computer Assisted Radiology and Surgery

SN - 1861-6410

ER -