AneuX

Modeling Shape as a Biomarker for Instability of Intracranial Aneurysms

Shape Analysis of Various Intracranial Aneurysm

At a glance

Project leader : Prof. Dr. Sven Hirsch
Project team : Roland Gassmann, Norman Juchler, Dr. Sabine Schilling, Erich Zbinden
Project status : completed
Funding partner : SNSF (SystemsX.ch)
Project partner : Hôpitaux universitaires de Genève, Université de Genève / Département de pathologie et d'immunologie, Forschungsstiftung für Informationstechnologie und Gesellschaft IT'IS, Universität Zürich / Vetsuisse-Fakultät, Schweizerische Neuro Stiftung
Contact person : Sven Hirsch

Description

Aneurysm is a disease of blood vessel walls that causes deformation and enlargement of the vascular lumen. Clinical decision-making is currently based on the location and size of the aneurysm and on empirical clinical observations. Changes in the vessel wall result in shape modifications that can be analyzed by modern imaging methodologies for computational modeling. Tools to assess the size and shape of aneurisms promise to help clinicians predict disease progression for improved decision-making. Clinical data will be combined with millimeter and submillimeter scale 3D imaging and immune-histopathology of aneurisms in humans and animals and information on wall shear stress and wall tension as well as in vitro analysis of molecular biomarkers and biochemical networks in vessel wall tissue and blood to identify a predictive signature for aneurysm growth and rupture. The predictive power of the disease model developed will be tested in a clinical trial.

The project AneuX is a collaborative venture led by Dr. Philippe Bijlenga of the Department of Clinical Neurosciences of the University of Geneva Hospital. Additional Swiss partners are ETH Prof. Niels Kuster of the IT\'IS Foundation, Dr. Sven Hirsch of the Institute of Applied Simulation (ZHAW), Prof. Brenda Kwak of the Department of Pathology and Immunology of the University of Geneva, Prof. Brigitte von Rechenberg of the University of Zurich Vetsuisse Faculty Equine Department, and Prof. Daniel Rüfenacht of the University of Zurich Center for Applied Biotechnology and Molecular Medicine. The aim of the project is to develop tools for the medical community to use to quantify and analyze the 3D shapes of aneurisms and to test the hypothesis that aneurysm 3D shape can be used as a proxy for disease status.

Further information

Publications

Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2022.

Shape trumps size : image-based morphological analysis reveals that the 3D shape discriminates intracranial aneurysm disease status better than aneurysm size.

Frontiers in Neurology.

13(809391).

Available from: https://doi.org/10.3389/fneur.2022.809391
Dupuy, Nicolas; Juchler, Norman; Morel, Sandrine; Kwak, Brenda R.; Hirsch, Sven; Bijlenga, Philippe,

2022.

Exploring intracranial aneurysm instability markers to improve disease modeling [paper].

In:

Nithiarasu, Perumal; Vergara, Christian, eds.,

CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

Computational and Mathematical Biomedical Engineering.

pp. 14-17.

Available from: https://doi.org/10.21256/zhaw-25387
Morel, Sandrine; Hostettler, Isabel C.; Spinner, Georg R.; Bourcier, Romain; Pera, Joanna; Meling, Torstein; Alg, Varinder; Houlden, Henry; Bakker, Mark; van’t Hof, Femke; Rinkel, Gabriel; Foroud, Tatiana; Lai, Dongbing; Moomaw, Charles; Worrall, Bradford; Caroff, Jildaz; Constant-dits-Beaufils, Pacôme; Karakachoff, Matilde; Rimbert, Antoine; Rouchaud, Aymeric; Gaal-Paavola, Emilia; Kaukovalta, Hanna; Kivisaari, Riku; Laakso, Aki; Jahromi, Behnam; Tulamo, Riikka; Friedrich, Christoph; Dauvillier, Jerome; Hirsch, Sven; Isidor, Nathalie; Kulcsàr, Zolt; Lövblad, Karl; Martin, Olivier; Machi, Paolo; Mendes Pereira, Vitor; Rüfenacht, Daniel; Schaller, Karl; Schilling, Sabine; Slowik, Agnieszka; Jaaskelainen, Juha; von und zu Fraunberg, Mikael; Jiménez-Conde, Jordi; Cuadrado-Godia, Elisa; Soriano-Tárraga, Carolina; Millwood, Iona; Walters, Robin; The @neurIST project; The ICAN Study Group; Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study Investigators; International Stroke Genetics Consortium (ISGC); Kim, Helen; Redon, Richard; Ko, Nerissa; Rouleau, Guy; Lindgren, Antti; Niemelä, Mika; Desal, Hubert; Woo, Daniel; Broderick, Joseph; Werring, David; Ruigrok, Ynte; Bijlenga, Philippe,

2022.

Intracranial aneurysm classifier using phenotypic factors : an international pooled analysis.

Journal of Personalized Medicine.

12(9), pp. 1410.

Available from: https://doi.org/10.3390/jpm12091410
Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

2022.

Modeling the location-dependency of aneurysm shape : a morphometric comparative study [paper].

In:

Nithiarasu, Perumal; Vergara, Christian, eds.,

CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

Computational & Mathematical Biomedical Engineering.

pp. 703-705.

Available from: https://doi.org/10.21256/zhaw-25388
Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven,

2022.

The role of shape for aneurysm risk assessment [paper].

In:

Nithiarasu, Perumal; Vergara, Christian, eds.,

CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering.

7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022.

Computational & Mathematical Biomedical Engineering.

pp. 84-86.

Available from: https://doi.org/10.21256/zhaw-25386
Bakker, Mark K.; van der Spek, Rick A. A.; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain; Hostettler, Isabel C.; Alg, Varinder S.; van Eijk, Kristel R.; Koido, Masaru; Akiyama, Masato; Terao, Chikashi; Matsuda, Koichi; Walters, Robin G.; Lin, Kuang; Li, Liming; Millwood, Iona Y.; Chen, Zhengming; Rouleau, Guy A.; Zhou, Sirui; Rannikmäe, Kristiina; Sudlow, Cathie L. M.; Houlden, Henry; van den Berg, Leonard H.; Dina, Christian; Naggara, Olivier; Gentric, Jean-Christophe; Shotar, Eimad; Eugène, François; Desal, Hubert; Winsvold, Bendik S.; Børte, Sigrid; Johnsen, Marianne Bakke; Brumpton, Ben M.; Sandvei, Marie Søfteland; Willer, Cristen J.; Hveem, Kristian; Zwart, John-Anker; Verschuren, W. M. Monique; Friedrich, Christoph M.; Hirsch, Sven; Schilling, Sabine; Dauvillier, Jérôme; Martin, Olivier; Jones, Gregory T.; Bown, Matthew J.; Ko, Nerissa U.; Kim, Helen; Coleman, Jonathan R. I.; Breen, Gerome; Zaroff, Jonathan G.; Klijn, Catharina J. M.; Malik, Rainer; Dichgans, Martin; Sargurupremraj, Muralidharan; Tatlisumak, Turgut; Amouyel, Philippe; Debette, Stéphanie; Rinkel, Gabriel J. E.; Worrall, Bradford B.; Pera, Joanna; Slowik, Agnieszka; Gaál-Paavola, Emília I.; Niemelä, Mika; Jääskeläinen, Juha E.; von Und Zu Fraunberg, Mikael; Lindgren, Antti; Broderick, Joseph P.; Werring, David J.; Woo, Daniel; Redon, Richard; Bijlenga, Philippe; Kamatani, Yoichiro; Veldink, Jan H.; Ruigrok, Ynte M.,

2021.

Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

Nature Genetics.

53(2), pp. 254.

Available from: https://doi.org/10.1038/s41588-020-00760-4
Morel, Sandrine; Schilling, Sabine; Diagbouga, Mannekomba R.; Delucchi, Matteo; Bochaton-Piallat, Marie-Luce; Lemeille, Sylvain; Hirsch, Sven; Kwak, Brenda R.,

2021.

Effects of low and high aneurysmal wall shear stress on endothelial cell behavior : differences and similarities.

Frontiers in Physiology.

12(727338).

Available from: https://doi.org/10.3389/fphys.2021.727338
Bakker, Mark K.; van der Spek, Rick A. A.; van Rheenen, Wouter; Morel, Sandrine; Bourcier, Romain; Hostettler, Isabel C.; Alg, Varinder S.; van Eijk, Kristel R.; Koido, Masaru; Akiyama, Masato; Terao, Chikashi; Matsuda, Koichi; Walters, Robin G.; Lin, Kuang; Li, Liming; Millwood, Iona Y.; Chen, Zhengming; Rouleau, Guy A.; Zhou, Sirui; Rannikmäe, Kristiina; Sudlow, Cathie L. M.; Houlden, Henry; van den Berg, Leonard H.; Dina, Christian; Naggara, Olivier; Gentric, Jean-Christophe; Shotar, Eimad; Eugène, François; Desal, Hubert; Winsvold, Bendik S.; Børte, Sigrid; Johnsen, Marianne Bakke; Brumpton, Ben M.; Sandvei, Marie Søfteland; Willer, Cristen J.; Hveem, Kristian; Zwart, John-Anker; Verschuren, W. M. Monique; Friedrich, Christoph M.; Hirsch, Sven; Schilling, Sabine; Dauvillier, Jérôme; Martin, Olivier; Jones, Gregory T.; Bown, Matthew J.; Ko, Nerissa U.; Kim, Helen; Coleman, Jonathan R. I.; Breen, Gerome; Zaroff, Jonathan G.; Klijn, Catharina J. M.; Malik, Rainer; Dichgans, Martin; Sargurupremraj, Muralidharan; Tatlisumak, Turgut; Amouyel, Philippe; Debette, Stéphanie; Rinkel, Gabriel J. E.; Worrall, Bradford B.; Pera, Joanna; Slowik, Agnieszka; Gaál-Paavola, Emília I.; Niemelä, Mika; Jääskeläinen, Juha E.; von Und Zu Fraunberg, Mikael; Lindgren, Antti; Broderick, Joseph P.; Werring, David J.; Woo, Daniel; Redon, Richard; Bijlenga, Philippe; Kamatani, Yoichiro; Veldink, Jan H.; Ruigrok, Ynte M.,

2020.

Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors.

Nature Genetics.

52(12), pp. 1303-1313.

Available from: https://doi.org/10.1038/s41588-020-00725-7
Juchler, Norman,

2020.

Shape-based analysis of intracranial aneurysms.

University of Zurich.

Available from: https://doi.org/10.5167/uzh-200995
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Morel, Sandrine; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2020.

Shape irregularity of the intracranial aneurysm lumen exhibits diagnostic value.

Acta Neurochirurgica.

162(9), pp. 2261-2270.

Available from: https://doi.org/10.1007/s00701-020-04428-0
Juchler, Norman; Schilling, Sabine; Glüge, Stefan; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2020.

Radiomics approach to quantify shape irregularity from crowd-based qualitative assessment of intracranial aneurysms.

Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization.

8(5), pp. 538-546.

Available from: https://doi.org/10.1080/21681163.2020.1728579
Detmer, Felicitas J.; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; Cebral, Juan R.,

2020.

Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment.

Acta Neurochirurgica.

162(3), pp. 553-566.

Available from: https://doi.org/10.1007/s00701-020-04234-8
Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto,

2020.

Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms [paper].

In:

International Mechanical Engineering Congress and Exposition : Volume 3 - biomedical and biotechnology engineering.

2019 International Mechanical Engineering Congress and Exposition, IMECE2019, Salt Lake City, Utah, USA, 11-14 November 2019.

The American Society of Mechanical Engineers.

Available from: https://doi.org/10.1115/IMECE2019-11125
Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; von Voigt, Gabriele; Cebral, Juan R.,

2020.

Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

International Journal of Computer Assisted Radiology and Surgery.

15(1), pp. 141-150.

Available from: https://doi.org/10.1007/s11548-019-02065-2
Detmer, Felicitas J.; Hadad, Sara; Chung, Bong Jae; Mut, Fernando; Slawski, Martin; Juchler, Norman; Kurtcuoglu, Vartan; Hirsch, Sven; Bijlenga, Philippe; Uchiyama, Yuya; Fujimura, Soichiro; Yamamoto, Makoto; Murayama, Yuichi; Takao, Hiroyuki; Koivisto, Timo; Frösen, Juhana; Cebral, Juan R.,

2019.

Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.

Neurosurgical Focus.

47(1).

Available from: https://doi.org/10.3171/2019.4.FOCUS19145
Bijlenga, Philippe; Morel, Sandrine; Hirsch, Sven; Schaller, Karl; Rüfenacht, Daniel,

2019.

Plea for an international Aneurysm Data Bank : description and perspectives.

Neurosurgical Focus.

47(1), pp. E17.

Available from: https://doi.org/10.3171/2019.4.FOCUS19185
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2019.

Identification of clinically relevant characteristics of intracranial aneurysm morphology [poster].

In:

1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Hirsch, Sven; Juchler, Norman,

2019.

Real and assumed insights : statistical models and imaging biomarkers for disease characterization of intracranial aneurysms.

In:

1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2019.

Understanding morphological irregularity : a rater-based study [paper].

In:

CMBE19 Proceedings.

6th International Conference on Computational and Mathematical Biomedical Engineering (CMBE19), Sendai City, Japan, 10-12 June 2019.

Cardiff:

Zeta Computational Resources.

pp. 583.
Detmer, Felicitas J.; Fajardo-Jiménez, Daniel; Mut, Fernando; Juchler, Norman; Hirsch, Sven; Pereira, Vitor Mendes; Bijlenga, Philippe; Cebral, Juan R.,

2018.

External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.

Acta Neurochirurgica.

Available from: https://doi.org/10.1007/s00701-018-3712-8
Juchler, Norman; Schilling, Sabine; Watanabe, Kazuhiro; Anzai, Hitomi; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2018.

Clinical data sharing : a data scientist's perspective.

In:

Life in Numbers 4, Wädenswil, 4 October 2018.
Juchler, Norman; Schilling, Sabine; Philippe, Bijlenga; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2018.

Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms.

In:

8th World Congress of Biomechanics (WCB2018), Dublin, Ireland, 8-12 July 2018.
Juchler, Norman; Schilling, Sabine; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2018.

Aneurysm shape as a diagnostic tool.

In:

Kick-Off Event: PhD Network in Data Science, Winterthur, 13. April 2018.
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2018.

Aneurysm shape as a diagnostic tool : a machine learning approach.

In:

International Neurovascular Exploratory Workshop (iNEW'2018), Zürich, 7-9 February 2018.
Anzai, Hitomi; Juchler, Norman; Bilenga, Philippe; Rüfenacht, Daniel; Wanke, Isabel; Hirsch, Sven,

2018.

Correlation of CFD with wall enhancement.

In:

iNEW, Zürich, 8. Februar 2018.
Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe; Ohta, Makoto,

2018.

Effect of input image representation for results of neural network to detect cerebral aneurysms.

In:

31st Bioengineering Conference / 2018 Annual Meeting of BED/JSME, Koriyama, Japan, 14-15 December 2018.
Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel,

2018.

Using machine learning to identify shape biomarkers in intracranial aneurysm.

In:

Life Science Zurich Impact, Zürich, 22 January 2018.
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2017.

Measuring the perceived morphological complexity of intracranial aneurysms [poster].

In:

Abstract Book, 3rd International SystemsX.ch Conference on Systems Biology.

SystemsX.ch Conference, Zurich, 4-7 September 2017.

pp. 160.

Available from: https://doi.org/10.3929/ethz-b-000176201
Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel,

2017.

Big Data : machine learning to identify shape biomarkers in intracranial aneurysm.

In:

Annual Meeting of the Swiss Society for Biomedical Engineering (SSBE), Winterthur, 30 August 2017.
Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2017.

Using shape descriptors to categorize intracranial aneurysms.

In:

CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering.

CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017.
Anzai, Hitomi; Juchler, Norman; Ohta, Makoto; Hirsch, Sven; Rüfenacht, Daniel A.; Wanke, Isabel,

2017.

Where does CFD identify lesion instability in small aneurysms?.

In:

CMBE17 : 5th International Conference on Computational and Mathematical Biomedical Engineering.

CMBE 2017, Pittsburgh PA, USA, 10-12 April 2017.
Schilling, Sabine; Morel, Sandrine; Bochaton-Piallat, Marie-Luce; Kwak, Brenda; Hirsch, Sven,

2017.

Endothelial cell elongation under shear stress : a computational model to consolidate observed cell shape changes [paper].

In:

Nithiarasu, P.; Robertson, A. M., eds.,

5th International Conference on Computational and Mathematical Biomedical Engineering, CMBE2017.

5th International Conference on Computational and Mathematical Biomedical Engineering (CMBE2017), Pittsburgh, USA, 10-12 April 2017.

Swansea:

Zeta Computational Resources.

pp. 850-852.
Bijlenga, Philippe; Gondar, Renato; Schilling, Sabine; Morel, Sandrine; Hirsch, Sven; Cuony, Johanna; Corniola, Marco-Vincenzo; Perren, Fabienne; Rüfenacht, Daniel; Schaller, Karl,

2017.

PHASES score for the management of intracranial aneurysm.

Stroke: A Journal of Cerebral Circulation.

48(8), pp. 2105-2112.

Available from: https://doi.org/10.1161/STROKEAHA.117.017391
Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven,

2016.

Shape-based assessment of intracranial aneurysm disease status [poster].

In:

ZNZ Symposium 2016, Zurich, 15. September 2016.
Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2016.

Shape-based assessment of intracranial aneurysm disease status – a machine learning approach [poster].

In:

All SystemsX.ch Day, Bern, 1 September 2016.
Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven,

2016.

What's ugly? : shape-based analysis of intracranial aneurysms [poster].

In:

Latsis Symposium 2016 : Personalized Medicine, Zurich, 27-29 June 2016.
Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven,

2016.

Shape-based modeling of aneurysmal disease status.

In:

ECCOMAS Congress 2016, Heraklion, Greece, 5-10 June 2016.
Juchler, Norman; Ebnöther, Ueli; Schilling, Sabine; Hirsch, Sven; Kurtcuoglu, Vartan,

2015.

On the utility of 3D Zernike Moment Invariants to assess aneurysm disease status [poster].

In:

All SystemsX.ch Day, Bern, 15 September 2015.
Neufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven; Kuster, Niels,

2015.

Computational framework for personalized characterization of aneurysm physics and physiology, as well as disease progression modelling.

In:

9th European Solid Mechanics Conference (ESMC), Madrid, Spain, 6-10 July 2015.
Bijlenga, Philippe; Hirsch, Sven,

2015.

Intracranial aneurysms rupture risk clinical assessment.

In:

9th European Solid Mechanics Conference (ESMC), Madrid, Spain, 6-10 July 2015.
Hirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel,

2013.

Clinical relevance of mechano-biological transduction in intracranial aneurysms : the mediating role of thrombus formation and inflammatory response expressing as aneurysm shape [paper].

In:

CMBE13 : 3rd International Conference on Computational & Mathematical Biomedical Engineering.

CMBE 2013, Hong Kong, , 16-18 December 2013.

Hong Kong:

City University of Hong Kong.

pp. 107-110.

Open Data and Downloads

Open Data

Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven, 2022. AneuX morphology database. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.6678442

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