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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Exploring intracranial aneurysm instability markers to improve disease modeling
2022 Dupuy, Nicolas; Juchler, Norman; Morel, Sandrine; Kwak, Brenda R.; Hirsch, Sven; Bijlenga, Philippe
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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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Shape-based analysis of intracranial aneurysms
2020 Juchler, Norman
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Incorporating variability of patient inflow conditions into statistical models for aneurysm rupture assessment
2020 Detmer, Felicitas J.; Mut, Fernando; Slawski, Martin; Hirsch, Sven; Bijlenga, Philippe; Cebral, Juan R.
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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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Identification of clinically relevant characteristics of intracranial aneurysm morphology
2019 Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven
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Understanding morphological irregularity : a rater-based study
2019 Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven
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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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Effect of input image representation for results of neural network to detect cerebral aneurysms
2018 Watanabe, Kazuhiro; Anzai, Hitomi; Juchler, Norman; Hirsch, Sven; Bijlenga, Philippe; Ohta, Makoto
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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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Using machine learning to identify shape biomarkers in intracranial aneurysm
2018 Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel
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Using shape descriptors to categorize intracranial aneurysms
2017 Juchler, Norman; Schilling, Sabine; Wanke, Isabel; Rüfenacht, Daniel; Bijlenga, Philippe; Kurtcuoglu, Vartan; Hirsch, Sven
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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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Big Data : machine learning to identify shape biomarkers in intracranial aneurysm
2017 Hirsch, Sven; Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel
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PHASES score for the management of intracranial aneurysm
2017 Bijlenga, Philippe; Gondar, Renato; Schilling, Sabine; Morel, Sandrine; Hirsch, Sven; Cuony, Johanna; Corniola, Marco-Vincenzo; Perren, Fabienne; Rüfenacht, Daniel; Schaller, Karl
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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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What's ugly? : shape-based analysis of intracranial aneurysms
2016 Juchler, Norman; Schilling, Sabine; Vartan, Kurtcuoglu; Hirsch, Sven
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Clinical relevance of mechano-biological transduction in intracranial aneurysms : the mediating role of thrombus formation and inflammatory response expressing as aneurysm shape
2013 Hirsch, Sven; Egger, Julian; Wanke, Isabel; Kulcsar, Zsolt; Rüfenacht, Daniel
