AneuX
Modeling Shape as a Biomarker for Instability of Intracranial Aneurysms
Beschreibung
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.
Eckdaten
Projektleitung
Projektteam
Roland Gassmann, Dr. Norman Juchler, Dr. Sabine Schilling, Erich Zbinden
Projektpartner
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
Projektstatus
abgeschlossen, 03/2015 - 08/2019
Institut/Zentrum
Institut für Computational Life Sciences (ICLS)
Drittmittelgeber
SystemsX.ch
Weiterführende Dokumente und Links
Publikationen
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Effect of input image representation for results of neural network to detect cerebral aneurysms
2024 Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe; Ohta, Makoto
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Endothelial cell elongation under shear stress : a computational model to consolidate observed cell shape changes
2024 Schilling, Sabine; Morel, Sandrine; Bochaton-Piallat, Marie-Luce; Kwak, Brenda; Hirsch, Sven
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Computational framework for personalized characterization of aneurysm physics and physiology, as well as disease progression modelling
2024 Neufeld, Esra; Wissmann, Phillipp; Szczerba, Dominik; Teixeira, Frederico; Hirsch, Sven; Kuster, Niels
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Understanding morphological irregularity : a rater-based study
2024 Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven
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The role of shape for aneurysm risk assessment
2024 Juchler, Norman; Bijlenga, Philippe; Hirsch, Sven
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Intracranial aneurysms rupture risk clinical assessment
2024 Bijlenga, Philippe; Hirsch, Sven
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Author Correction: Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors
2021 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.
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Influence of input image configurations on output of a convolutional neural network to detect cerebral aneurysms
2020 Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Ohta, Makoto
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Comparison of statistical learning approaches for cerebral aneurysm rupture assessment
2020 Detmer, Felicitas J.; Lückehe, Daniel; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; von Voigt, Gabriele; Cebral, Juan R.
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Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors
2020 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.
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Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics
2019 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.
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Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms
2018 Juchler, Norman; Schilling, Sabine; Philippe, Bijlenga; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven
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Aneurysm shape as a diagnostic tool : a machine learning approach
2018 Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven
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External validation of cerebral aneurysm rupture probability model with data from two patient cohorts
2018 Detmer, Felicitas J.; Fajardo-Jiménez, Daniel; Mut, Fernando; Juchler, Norman; Hirsch, Sven; Pereira, Vitor Mendes; Bijlenga, Philippe; Cebral, Juan R.
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Measuring the perceived morphological complexity of intracranial aneurysms
2017 Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven
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Where does CFD identify lesion instability in small aneurysms?
2017 Anzai, Hitomi; Juchler, Norman; Ohta, Makoto; Hirsch, Sven; Rüfenacht, Daniel A.; Wanke, Isabel
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Shape-based modeling of aneurysmal disease status
2016 Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven
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What's ugly? : shape-based analysis of intracranial aneurysms
2016 Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven
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Shape-based assessment of intracranial aneurysm disease status – a machine learning approach
2016 Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven
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On the utility of 3D Zernike Moment Invariants to assess aneurysm disease status
2015 Juchler, Norman; Ebnöther, Ueli; Schilling, Sabine; Hirsch, Sven; Kurtcuoglu, Vartan
