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2. Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA

Author

Yang, Kaiyuan, Musio, Fabio, Ma, Yihui, Juchler, Norman, Paetzold, Johannes C., Al-Maskari, Rami, Höher, Luciano, Li, Hongwei Bran, Hamamci, Ibrahim Ethem, Sekuboyina, Anjany, Shit, Suprosanna, Huang, Houjing, Prabhakar, Chinmay, de la Rosa, Ezequiel, Waldmannstetter, Diana, Kofler, Florian, Navarro, Fernando, Menten, Martin, Ezhov, Ivan, Rueckert, Daniel, Vos, Iris, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo, Hämmerli, Julien, Wurster, Catherine, Bijlenga, Philippe, Westphal, Laura, Bisschop, Jeroen, Colombo, Elisa, Baazaoui, Hakim, Makmur, Andrew, Hallinan, James, Wiestler, Bene, Kirschke, Jan S., Wiest, Roland, Montagnon, Emmanuel, Letourneau-Guillon, Laurent, Galdran, Adrian, Galati, Francesco, Falcetta, Daniele, Zuluaga, Maria A., Lin, Chaolong, Zhao, Haoran, Zhang, Zehan, Ra, Sinyoung, Hwang, Jongyun, Park, Hyunjin, Chen, Junqiang, Wodzinski, Marek, Müller, Henning, Shi, Pengcheng, Liu, Wei, Ma, Ting, Yalçin, Cansu, Hamadache, Rachika E., Salvi, Joaquim, Llado, Xavier, Estrada, Uma Maria Lal-Trehan, Abramova, Valeriia, Giancardo, Luca, Oliver, Arnau, Liu, Jialu, Huang, Haibin, Cui, Yue, Lin, Zehang, Liu, Yusheng, Zhu, Shunzhi, Patel, Tatsat R., Tutino, Vincent M., Orouskhani, Maysam, Wang, Huayu, Mossa-Basha, Mahmud, Zhu, Chengcheng, Rokuss, Maximilian R., Kirchhoff, Yannick, Disch, Nico, Holzschuh, Julius, Isensee, Fabian, Maier-Hein, Klaus, Sato, Yuki, Hirsch, Sven, Wegener, Susanne, and Menze, Bjoern

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods, Quantitative Biology - Tissues and Organs
Abstract

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, characterizing the highly variable CoW anatomy is still a manual and time-consuming expert task. The CoW is usually imaged by two angiographic imaging modalities, magnetic resonance angiography (MRA) and computed tomography angiography (CTA), but there exist limited public datasets with annotations on CoW anatomy, especially for CTA. Therefore we organized the TopCoW Challenge in 2023 with the release of an annotated CoW dataset. The TopCoW dataset was the first public dataset with voxel-level annotations for thirteen possible CoW vessel components, enabled by virtual-reality (VR) technology. It was also the first large dataset with paired MRA and CTA from the same patients. TopCoW challenge formalized the CoW characterization problem as a multiclass anatomical segmentation task with an emphasis on topological metrics. We invited submissions worldwide for the CoW segmentation task, which attracted over 140 registered participants from four continents. The top performing teams managed to segment many CoW components to Dice scores around 90%, but with lower scores for communicating arteries and rare variants. There were also topological mistakes for predictions with high Dice scores. Additional topological analysis revealed further areas for improvement in detecting certain CoW components and matching CoW variant topology accurately. TopCoW represented a first attempt at benchmarking the CoW anatomical segmentation task for MRA and CTA, both morphologically and topologically., Comment: 24 pages, 11 figures, 9 tables. Summary Paper for the MICCAI TopCoW 2023 Challenge

Published
2023

4. A Genome-Wide Association Study of Outcome After Aneurysmal Subarachnoid Haemorrhage: Discovery Analysis

Author

Gaastra, Ben, Alexander, Sheila, Bakker, Mark K., Bhagat, Hemant, Bijlenga, Philippe, Blackburn, Spiros L., Collins, Malie K., Doré, Sylvain, Griessenauer, Christoph J., Hendrix, Philipp, Hong, Eun Pyo, Hostettler, Isabel C., Houlden, Henry, IIhara, Koji, Jeon, Jin Pyeong, Kim, Bong Jun, Li, Jiang, Morel, Sandrine, Nyquist, Paul, Ren, Dianxu, Ruigrok, Ynte M., Werring, David, Tapper, Will, Galea, Ian, and Bulters, Diederik

Published
2023
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6. A computational medical XR discipline

Author

Papagiannakis, George, Greenleaf, Walter, Cole, Michael, Zhang, Mark, Datta, Rabi, Delahaye, Mathias, Grigoriou, Eleni, Kamarianakis, Manos, Protopsaltis, Antonis, Bijlenga, Philippe, Magnenat-Thalmann, Nadia, Tsiridis, Eleftherios, Kenanidis, Eustathios, Vamvakidis, Kyriakos, Koutelidakis, Ioannis, and Kannape, Oliver A

Subjects
Computer Science - Graphics, Computer Science - Human-Computer Interaction
Abstract

Computational Medical Extended Reality (CMXR), brings together life sciences and neuroscience with mathematics, engineering and computer science. It unifies computational science (scientific computing) with intelligent extended reality and spatial computing for the medical field. It significantly differs from previous "Clinical XR" or "Medical XR" terms, as it is focusing on how to integrate computational methods from neural simulation to computational geometry, computational vision and computer graphics with deep learning models to solve specific hard problems in medicine and neuroscience: from low/no-code/genAI authoring platforms to deep learning XR systems for training, planning, operative navigation, therapy and rehabilitation.

Published
2021

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

Author

Bakker, Mark K, van der Spek, Rick AA, 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 LM, 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, WM 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 RI, Breen, Gerome, Zaroff, Jonathan G, Klijn, Catharina JM, Malik, Rainer, Dichgans, Martin, Sargurupremraj, Muralidharan, Tatlisumak, Turgut, Amouyel, Philippe, Debette, Stéphanie, Rinkel, Gabriel JE, 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, and Ruigrok, Ynte M

Subjects
Genetics, Brain Disorders, Human Genome, Clinical Research, Prevention, Stroke, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Asian People, Blood Pressure, Case-Control Studies, Endothelial Cells, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Intracranial Aneurysm, Polymorphism, Single Nucleotide, Risk Factors, Smoking, Subarachnoid Hemorrhage, White People, HUNT All-In Stroke, China Kadoorie Biobank Collaborative Group, BioBank Japan Project Consortium, ICAN Study Group, CADISP Group, Genetics and Observational Subarachnoid Haemorrhage (GOSH) Study investigators, International Stroke Genetics Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Rupture of an intracranial aneurysm leads to subarachnoid hemorrhage, a severe type of stroke. To discover new risk loci and the genetic architecture of intracranial aneurysms, we performed a cross-ancestry, genome-wide association study in 10,754 cases and 306,882 controls of European and East Asian ancestry. We discovered 17 risk loci, 11 of which are new. We reveal a polygenic architecture and explain over half of the disease heritability. We show a high genetic correlation between ruptured and unruptured intracranial aneurysms. We also find a suggestive role for endothelial cells by using gene mapping and heritability enrichment. Drug-target enrichment shows pleiotropy between intracranial aneurysms and antiepileptic and sex hormone drugs, providing insights into intracranial aneurysm pathophysiology. Finally, genetic risks for smoking and high blood pressure, the two main clinical risk factors, play important roles in intracranial aneurysm risk, and drive most of the genetic correlation between intracranial aneurysms and other cerebrovascular traits.

Published
2020

9. Genome-Wide Association Study of Clinical Outcome After Aneurysmal Subarachnoid Haemorrhage: Protocol

Author

Gaastra, Ben, Alexander, Sheila, Bakker, Mark K., Bhagat, Hemant, Bijlenga, Philippe, Blackburn, Spiros, Collins, Malie K., Doré, Sylvain, Griessenauer, Christoph, Hendrix, Philipp, Hong, Eun Pyo, Hostettler, Isabel C., Houlden, Henry, IIhara, Koji, Jeon, Jin Pyeong, Kim, Bong Jun, Kumar, Munish, Morel, Sandrine, Nyquist, Paul, Ren, Dianxu, Ruigrok, Ynte M., Werring, David, Galea, Ian, Bulters, Diederik, and Tapper, Will

Published
2022
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13. Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity

Author

Bakker, Mark K., Kanning, Jos P., Abraham, Gad, Martinsen, Amy E., Winsvold, Bendik S., Zwart, John-Anker, Bourcier, Romain, Sawada, Tomonobu, Koido, Masaru, Kamatani, Yoichiro, Morel, Sandrine, Amouyel, Philippe, Debette, Stéphanie, Bijlenga, Philippe, Berrandou, Takiy, Ganesh, Santhi K., Bouatia-Naji, Nabila, Jones, Gregory, Bown, Matthew, Rinkel, Gabriel J.E., Veldink, Jan H., Ruigrok, Ynte M., Hege Aamodt, Anne, Heidi Skogholt, Anne, Brumpton, Ben M, Willer, Cristen J, Sandset, Else C, Kristoffersen, Espen S, Ellekjær, Hanne, Heuch, Ingrid, Nielsen, Jonas B, Hagen, Knut, Hveem, Kristian, Fritsche, Lars G, Thomas, Laurent F, Pedersen, Linda M, Gabrielsen, Maiken E, Holmen, Oddgeir L, Børte, Sigrid, Zhou, Wei, Abboud, Shérine, Pandolfo, Massimo, Thijs, Vincent, Leys, Didier, Bodenant, Marie, Louillet, Fabien, Touzé, Emmanuel, Mas, Jean-Louis, Samson, Yves, Leder, Sara, Léger, Anne, Deltour, Sandrine, Crozier, Sophie, Méresse, Isabelle, Canaple, Sandrine, Godefroy, Olivier, Giroud, Maurice, Béjot, Yannick, Decavel, Pierre, Medeiros, Elizabeth, Montiel, Paola, Moulin, Thierry, Vuillier, Fabrice, Dallongeville, Jean, Metso, Antti J, Metso, Tiina, Tatlisumak, Turgut, Grond-Ginsbach, Caspar, Lichy, Christoph, Kloss, Manja, Werner, Inge, Arnold, Marie-Luise, Dos Santos, Michael, Grau, Armin, Dichgans, Martin, Thomas-Feles, Constanze, Weber, Ralf, Brandt, Tobias, Pezzini, Alessandro, De Giuli, Valeria, Caria, Filomena, Poli, Loris, Padovani, Alessandro, Bersano, Anna, Lanfranconi, Silvia, Beretta, Simone, Ferrarese, Carlo, Giacolone, Giacomo, Paolucci, Stefano, Lyrer, Philippe, Engelter, Stefan, Fluri, Felix, Hatz, Florian, Gisler, Dominique, Bonati, Leo, Gensicke, Henrik, Amort, Margareth, Markus, Hugh, Majersik, Jennifer, Worrall, Bradford, Southerland, Andrew, Cole, John, Kittner, Steven, Evangelou, Evangelos, Warren, Helen R, Gao, He, Ntritsos, Georgios, Dimou, Niki, Esko, Tonu, Mägi, Reedik, Milani, Lili, Almgren, Peter, Boutin, Thibaud, Ding, Jun, Giulianini, Franco, Holliday, Elizabeth G, Jackson, Anne U, Li-Gao, Ruifang, Lin, Wei-Yu, Luan, Jian’an, Mangino, Massimo, Oldmeadow, Christopher, Peter Prins, Bram, Qian, Yong, Sargurupremraj, Muralidharan, Shah, Nabi, Surendran, Praveen, Thériault, Sébastien, Verweij, Niek, Willems, Sara M, Zhao, Jing-Hua, Connell, John, de Mutsert, Renée, Doney, Alex SF, Farrall, Martin, Menni, Cristina, Morris, Andrew D, Noordam, Raymond, Paré, Guillaume, Poulter, Neil R, Shields, Denis C, Stanton, Alice, Thom, Simon, Abecasis, Gonçalo, Amin, Najaf, Arking, Dan E, Ayers, Kristin L, Barbieri, Caterina M, Batini, Chiara, Bis, Joshua C, Blake, Tineka, Bochud, Murielle, Boehnke, Michael, Boerwinkle, Eric, Boomsma, Dorret I, Bottinger, Erwin P, Braund, Peter S, Brumat, Marco, Campbell, Archie, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chauhan, Ganesh, Ciullo, Marina, Cocca, Massimiliano, Collins, Francis, Cordell, Heather J, Davies, Gail, de Borst, Martin H, de Geus, Eco J, Deary, Ian J, Deelen, Joris, Del Greco M, Fabiola, Yusuf Demirkale, Cumhur, Dörr, Marcus, Ehret, Georg B, Elosua, Roberto, Enroth, Stefan, Mesut Erzurumluoglu, A, Ferreira, Teresa, Frånberg, Mattias, Franco, Oscar H, Gandin, Ilaria, Gasparini, Paolo, Giedraitis, Vilmantas, Gieger, Christian, Girotto, Giorgia, Goel, Anuj, Gow, Alan J, Gudnason, Vilmundur, Guo, Xiuqing, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Harris, Sarah E, Hartman, Catharina A, Havulinna, Aki S, Hicks, Andrew A, Hofer, Edith, Hofman, Albert, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Shih-Jen, Ingelsson, Erik, James, Alan, Jansen, Rick, Jarvelin, Marjo-Riitta, Joehanes, Roby, Johansson, Åsa, Johnson, Andrew D, Joshi, Peter K, Jousilahti, Pekka, Wouter Jukema, J, Jula, Antti, Kähönen, Mika, Kathiresan, Sekar, Keavney, Bernard D, Khaw, Kay-Tee, Knekt, Paul, Knight, Joanne, Kolcic, Ivana, Kooner, Jaspal S, Koskinen, Seppo, Kristiansson, Kati, Kutalik, Zoltan, Laan, Maris, Larson, Marty, Launer, Lenore J, Lehne, Benjamin, Lehtimäki, Terho, Liewald, David CM, Lin, Li, Lind, Lars, Lindgren, Cecilia M, Liu, YongMei, Loos, Ruth JF, Lopez, Lorna M, Lu, Yingchang, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamasoula, Chrysovalanto, Marrugat, Jaume, Marten, Jonathan, Milaneschi, Yuri, Morgan, Anna, Morris, Andrew P, Morrison, Alanna C, Munson, Peter J, Nalls, Mike A, Nandakumar, Priyanka, Nelson, Christopher P, Niiranen, Teemu, Nolte, Ilja M, Nutile, Teresa, Oldehinkel, Albertine J, Oostra, Ben A, O’Reilly, Paul F, Org, Elin, Padmanabhan, Sandosh, Palmas, Walter, Palotie, Aarno, Pattie, Alison, WJH Penninx, Brenda, Perola, Markus, Peters, Annette, Polasek, Ozren, Pramstaller, Peter P, Tri Nguyen, Quang, Raitakari, Olli T, Rettig, Rainer, Rice, Kenneth, Ridker, Paul M, Ried, Janina S, Riese, Harriëtte, Ripatti, Samuli, Robino, Antonietta, Rose, Lynda M, Rotter, Jerome I, Rudan, Igor, Ruggiero, Daniela, Saba, Yasaman, Sala, Cinzia F, Salomaa, Veikko, Samani, Nilesh J, Sarin, Antti-Pekka, Schmidt, Reinhold, Schmidt, Helena, Shrine, Nick, Siscovick, David, Smith, Albert V, Snieder, Harold, Sõber, Siim, Sorice, Rossella, Starr, John M, Stott, David J, Strachan, David P, Strawbridge, Rona J, Sundström, Johan, Swertz, Morris A, Taylor, Kent D, Teumer, Alexander, Tobin, Martin D, Tomaszewski, Maciej, Toniolo, Daniela, Traglia, Michela, Trompet, Stella, Tuomilehto, Jaakko, Tzourio, Christophe, Uitterlinden, André G, Vaez, Ahmad, van der Most, Peter J, van Duijn, Cornelia M, Verwoert, Germaine C, Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Vuckovic, Dragana, Watkins, Hugh, Wild, Sarah H, Willemsen, Gonneke, Wilson, James F, Wright, Alan F, Yao, Jie, Zemunik, Tatijana, Zhang, Weihua, Attia, John R, Butterworth, Adam S, Chasman, Daniel I, Conen, David, Cucca, Francesco, Danesh, John, Hayward, Caroline, Howson, Joanna MM, Laakso, Markku, Lakatta, Edward G, Langenberg, Claudia, Melander, Olle, Mook-Kanamori, Dennis O, Palmer, Colin NA, Risch, Lorenz, Scott, Robert A, Scott, Rodney J, Sever, Peter, Spector, Tim D, van der Harst, Pim, Wareham, Nicholas J, Zeggini, Eleftheria, Levy, Daniel, Munroe, Patricia B, Newton-Cheh, Christopher, Brown, Morris J, Metspalu, Andres, Psaty, Bruce M., Wain, Louise V, Elliott, Paul, Caulfield, Mark J, Gormley, Padhraig, Anttila, Verneri, Palta, Priit, Esko, Tonu, Pers, Tune H, Farh, Kai-How, Cuenca-Leon, Ester, Muona, Mikko, Furlotte, Nicholas A, Kurth, Tobias, Ingason, Andres, McMahon, George, Ligthart, Lannie, Terwindt, Gisela M, Kallela, Mikko, Freilinger, Tobias M, Ran, Caroline, Gordon, Scott G, Stam, Anine H, Steinberg, Stacy, Borck, Guntram, Koiranen, Markku, Quaye, Lydia, Adams, Hieab H H, Lehtimäki, Terho, Sarin, Antti-Pekka, Wedenoja, Juho, Hinds, David A, Buring, Julie E, Schürks, Markus, Ridker, Paul M, Gudlaug Hrafnsdottir, Maria, Stefansson, Hreinn, Ring, Susan M, Hottenga, Jouke-Jan, Penninx, Brenda W J H, Färkkilä, Markus, Artto, Ville, Kaunisto, Mari, Vepsäläinen, Salli, Malik, Rainer, Heath, Andrew C, Madden, Pamela A F, Martin, Nicholas G, Montgomery, Grant W, Kurki, Mitja I, Kals, Mart, Mägi, Reedik, Pärn, Kalle, Hämäläinen, Eija, Huang, Hailiang, Byrnes, Andrea E, Franke, Lude, Huang, Jie, Stergiakouli, Evie, Lee, Phil H, Sandor, Cynthia, Webber, Caleb, Cader, Zameel, Muller-Myhsok, Bertram, Schreiber, Stefan, Meitinger, Thomas, Eriksson, Johan G, Salomaa, Veikko, Heikkilä, Kauko, Loehrer, Elizabeth, Uitterlinden, Andre G, Hofman, Albert, van Duijn, Cornelia M, Cherkas, Lynn, Pedersen, Linda M, Stubhaug, Audun, Nielsen, Christopher S, Männikkö, Minna, Mihailov, Evelin, Milani, Lili, Göbel, Hartmut, Esserlind, Ann-Louise, Francke Christensen, Anne, Folkmann Hansen, Thomas, Werge, Thomas, Kaprio, Jaakko, Aromaa, Arpo J, Raitakari, Olli, Arfan Ikram, M, Spector, Tim, Järvelin, Marjo-Riitta, Metspalu, Andres, Kubisch, Christian, Strachan, David P, Ferrari, Michel D, Belin, Andrea C, Dichgans, Martin, Wessman, Maija, van den Maagdenberg, Arn M J M, Boomsma, Dorret I, Davey Smith, George, Stefansson, Kari, Eriksson, Nicholas, Daly, Mark J, Neale, Benjamin M, Olesen, Jes, Chasman, Daniel I, Nyholt, Dale R, Palotie, Aarno, Akiyama, Masato, Alg, Varinder S., Børte, Sigrid, Broderick, Joseph P., Brumpton, Ben M., Dauvillier, Jérôme, Desal, Hubert, Dina, Christian, Friedrich, Christoph M., Gaál-Paavola, Emília I., Gentric, Jean-Christophe, Hirsch, Sven, Hostettler, Isabel C., Houlden, Henry, Hveem, Kristian, Jääskeläinen, Juha E., Johnsen, Marianne Bakke, Li, Liming, Lin, Kuang, Lindgren, Antti, Martin, Olivier, Matsuda, Koichi, Millwood, Iona Y., Naggara, Olivier, Niemelä, Mika, Pera, Joanna, Redon, Richard, Rouleau, Guy A., Sandvei, Marie Søfteland, Schilling, Sabine, Shotar, Eimad, Slowik, Agnieszka, Terao, Chikashi, Verschuren, W. M. Monique, Walters, Robin G., Werring, David J., Willer, Cristen J., Woo, Daniel, Worrall, Bradford B., and Zhou, Sirui

Published
2023
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19. PTPRZ1-targeting RNA CAR-T cells exert antigen-specific and bystander antitumor activity in glioblastoma

Author

Martinez Bedoya, Darel, primary, Marinari, Eliana, additional, Davanture, Suzel, additional, Castillo Cantero, Luis, additional, Erraiss, Sarah, additional, Dockerill, Millicent, additional, Barluenga Badiola, Sofia, additional, Winssinger, Nicolas, additional, Schaller, Karl, additional, Bijlenga, Philippe, additional, Momjian, Shahan, additional, Hammel, Philippe, additional, Cosson, Pierre, additional, Walker, Paul R, additional, Dutoit, Valerie, additional, and Migliorini, Denis, additional

Published
2023
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20. Diagnostic reliability of the Berlin classification for complex MCA aneurysms—usability in a series of only giant aneurysms

Author

Wessels, Lars, Fekonja, Lucius Samo, Achberger, Johannes, Dengler, Julius, Czabanka, Marcus, Hecht, Nils, Schneider, Ulf, Tkatschenko, Dimitri, Schebesch, Karl-Michael, Schmidt, Nils Ole, Mielke, Dorothee, Hosch, Henning, Ganslandt, Oliver, Gräwe, Alexander, Hong, Bujung, Walter, Jan, Güresir, Erdem, Bijlenga, Philippe, Haemmerli, Julien, Maldaner, Nicolai, Marbacher, Serge, Nurminen, Ville, Zitek, Hynek, Dammers, Ruben, Kato, Naoki, Linfante, Italo, Pedro, Maria-Teresa, Wrede, Karsten, Wang, Wei-Te, Wostrack, Maria, and Vajkoczy, Peter

Published
2020
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26. Predictors of Occurrence and Anatomic Distribution of Multiple Aneurysms in Patients with Aneurysmal Subarachnoid Hemorrhage

Author

Fandino, Javier, Colluccia, Daniel, Arrighi, Marta, Venier, Alice, Kuhlen, Dominique E., Robert, Thomas, Reinert, Michael, Weyerbrock, Astrid, Hlavica, Martin, Fournier, Jean-Yves, Raabe, Andreas, Beck, Juergen, Bervini, David, Schaller, Karl, Daniel, Roy T., Starnoni, Daniele, Messerer, Mahmoud, Levivier, Marc, Keller, Emanuela, Regli, Luca, Bozinov, Oliver, Finkenstaedt, Sina, Remonda, Luca, Stippich, Christoph, Gralla, Jan, Kulcsar, Zsolt, Mendes-Pereira, Vitor, Ahlborn, Peter, Smoll, Nicolas R., Rohde, Veit, Tok, Sina, Baumann, Fabian, Kothbauer, Karl, Kerkeni, Hassen, Dan-Ura, Hiroki, Landolt, Hans, Mostaguir, Khaled, Gasche, Yvan, Sarrafzadeh, Asita, Hildebrandt, Gerhard, Winkler, Kerstin, Woernle, Christoph, Bernays, Rene, Roethlisberger, Michel, Achermann, Rita, Bawarjan, Schatlo, Stienen, Martin N., Fung, Christian, D'Alonzo, Donato, Maldaner, Nicolai, Ferrari, Andrea, Corniola, Marco V., Schöni, Daniel, Valsecchi, Daniele, Maduri, Rodolfo, Seule, Martin A., Burkhardt, Jan-Karl, Marbacher, Serge, Bijlenga, Philippe, Blackham, Kristine A., Bucher, Heiner C., Mariani, Luigi, Guzman, Raphael, and Zumofen, Daniel W.

Published
2018
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28. Ruptured PICA aneurysms: presentation and treatment outcomes compared to other posterior circulation aneurysms. A Swiss SOS study

Author

Starnoni, Daniele, Maduri, Rodolfo, Al Taha, Khalid, Bervini, David, Zumofen, Daniel Walter, Stienen, Martin Nikolaus, Schatlo, Bawarjan, Fung, Christian, Robert, Thomas, Seule, Martin A., Burkhardt, Jan-Karl, Maldaner, Nicolai, Rothlisberger, Michel, Blackham, Kristine A., Marbacher, Serge, D’Alonzo, Donato, Remonda, Luca, Machi, Paolo, Gralla, Jan, Bijlenga, Philippe, Saliou, Guillaume, Ballabeni, Pierluigi, Levivier, Marc, Messerer, Mahmoud, Swiss SOS Group, and Daniel, Roy Thomas

Published
2019
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31. Ruptured posterior circulation aneurysms: epidemiology, patterns of care, and outcomes from the Swiss SOS national registry

Author

Maduri, Rodolfo, Starnoni, Daniele, Rocca, Alda, Bervini, David, Zumofen, Daniel Walter, Stienen, Martin Nikolaus, Schatlo, Bawarjan, Fung, Christian, Robert, Thomas, Seule, Martin A., Burkhardt, Jan-Karl, Maldaner, Nicolai, Rothlisberger, Michel, Blackham, Kristine A., Marbacher, Serge, D’Alonzo, Donato, Remonda, Luca, Machi, Paolo, Gralla, Jan, Bijlenga, Philippe, Saliou, Guillaume, Ballabeni, Pierluigi, Levivier, Marc, Messerer, Mahmoud, Daniel, Roy Thomas, and Swiss SOS Group

Published
2019
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33. Incidence and Outcome of Aneurysmal Subarachnoid Hemorrhage: The Swiss Study on Subarachnoid Hemorrhage (Swiss SOS)

Author

Schatlo, Bawarjan, Fung, Christian, Stienen, Martin N., Fathi, Ali R., Fandino, Javier, Smoll, Nicolas R., Zumofen, Daniel, Daniel, Roy Thomas, Burkhardt, Jan-Karl, Bervini, David, Marbacher, Serge, Reinert, Michael, D´Alonzo, Donato, Ahlborn, Peter, Mendes Pereira, Vitor, Roethlisberger, Michel, Seule, Martin, Kerkeni, Hassen, Remonda, Luca, Weyerbrock, Astrid, Woernle, Kerstin, Venier, Alice, Perren, Fabienne, Sailer, Martin, Robert, Thomas, Rohde, Veit, Schöni, Daniel, Goldberg, Johannes, Nevzati, Edin, Diepers, Michael, Gralla, Jan, Z’Graggen, Werner, Starnoni, Daniele, Woernle, Christoph, Maldaner, Nicolai, Kulcsar, Zsolt, Mostaguir, Khaled, Maduri, Rodolfo, Eisenring, Christian, Bernays, René, Ferrari, Andrea, Dan-Ura, Hiroki, Finkenstädt, Sina, Gasche, Yvan, Sarrafzadeh, Asita, Jakob, Stephan M., Corniola, Marco, Baumann, Fabian, Regli, Luca, Levivier, Marc, Hildebrandt, Gerhard, Landolt, Hans, Mariani, Luigi, Guzman, Raphael, Beck, Jürgen, Raabe, Andreas, Keller, Emanuela, Bijlenga, Philippe, and Schaller, Karl

Published
2021
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35. ChatGPT in glioma adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?

Author

Haemmerli, Julien, primary, Sveikata, Lukas, additional, Nouri, Aria, additional, May, Adrien, additional, Egervari, Kristof, additional, Freyschlag, Christian, additional, Lobrinus, Johannes A, additional, Migliorini, Denis, additional, Momjian, Shahan, additional, Sanda, Nicolae, additional, Schaller, Karl, additional, Tran, Sebastien, additional, Yeung, Jacky, additional, and Bijlenga, Philippe, additional

Published
2023
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39. Computed tomography angiography spot sign predicts intraprocedural aneurysm rupture in subarachnoid hemorrhage

Author

Burkhardt, Jan-Karl, Neidert, Marian Christoph, Stienen, Martin Nikolaus, Schöni, Daniel, Fung, Christian, Roethlisberger, Michel, Corniola, Marco Vincenzo, Bervini, David, Maduri, Rodolfo, Valsecchi, Daniele, Tok, Sina, Schatlo, Bawarjan, Bijlenga, Philippe, Schaller, Karl, Bozinov, Oliver, Regli, Luca, Fathi, Ali-Reza, Fandino, Javier, Marbacher, Serge, D’Alonzo, Donato, Kerkeni, Hassen, Soleman, Jahuda, Coluccia, Daniel, Muroi, Carl, Danura, Hiroki, Schmid, Nicole, Zumofen, Daniel, Röthlisberger, Michel, Mariani, Luigi, Guzman, Rahael, Monsch, Andreas U., Bläsi, Stephan, Fung, Christian, Bervini, David, Beck, Jürgen, Raabe, Andreas, Goldberg, Johannes, Schöni, Daniel, Gralla, Jan, Zweifel-Zehnder, Antoinette, Gutbrod, Klemens, Müri, Rene, Maduri, Rodolfo, Daniel, Roy Thomas, Starnoni, Daniele, Messerer, Mahmoud, Levivier, Marc, Beaud, Valérie, Valsecchi, Daniele, Arrighi, Marta, Venier, Alice, Reinert, Michael, Kuhlen, Dominique E., Robert, Thomas, Rossi, Stefania, Sacco, Leonardo, Bijlenga, Philippe, Corniola, Marco, Schaller, Karl, Chicherio, Christian, Seule, Martin A., Ferrari, Andrea, Weyerbrock, Astrid, Hlavica, Martin, Fournier, Jean-Yves, Früh, Severin, Schatlo, Bawarjan, Burkhardt, Jan-Karl, Stienen, Martin N., Keller, Emanuela, Regli, Luca, Bozinov, Oliver, Maldaner, Nicolai, Tok, Sina, Neidert, Marian C., Brugger, Peter, Mondadori, Christian, and on behalf of the Swiss SOS study group

Published
2017
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40. Factors associated with clinical and radiological status on admission in patients with aneurysmal subarachnoid hemorrhage

Author

Zumofen, Daniel W., Roethlisberger, Michel, Achermann, Rita, Bawarjan, Schatlo, Stienen, Martin N., Fung, Christian, D’Alonzo, Donato, Maldaner, Nicolai, Ferrari, Andrea, Corniola, Marco V., Schoeni, Daniel, Goldberg, Johannes, Valsecchi, Daniele, Robert, Thomas, Maduri, Rodolfo, Seule, Martin, Burkhardt, Jan-Karl, Marbacher, Serge, Bijlenga, Philippe, Blackham, Kristine A., Bucher, Heiner C., Mariani, Luigi, Guzman, Raphael, and on behalf of the Swiss SOS Study Group

Published
2018
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41. Herniation World Federation of Neurosurgical Societies Scale Improves Prediction of Outcome in Patients With Poor-Grade Aneurysmal Subarachnoid Hemorrhage

Author

Raabe, Andreas, Beck, Jürgen, Goldberg, Johannes, Z'Graggen, Werner J, Branca, Mattia, Marbacher, Serge, D'Alonzo, Donato, Fandino, Javier, Stienen, Martin N, Neidert, Marian C, Burkhardt, Jan-Karl, Regli, Luca, Hlavica, Martin, Seule, Martin, Roethlisberger, Michel, Guzman, Raphael, Zumofen, Daniel Walter, Maduri, Rodolfo, Daniel, Roy Thomas, El Rahal, Amir, Corniola, Marco V, Bijlenga, Philippe, Schaller, Karl, Rölz, Roland, Scheiwe, Christian, Shah, Mukesch, Heiland, Dieter Henrik, Schnell, Oliver, Fung, Christian, University of Zurich, and Fung, Christian

Subjects
Advanced and Specialized Nursing, 2902 Advanced and Specialized Nursing, 610 Medicine & health, Subarachnoid Hemorrhage, 2705 Cardiology and Cardiovascular Medicine, Cohort Studies, 10180 Clinic for Neurosurgery, 2728 Neurology (clinical), Treatment Outcome, Predictive Value of Tests, Humans, Prospective Studies, Neurology (clinical), Cardiology and Cardiovascular Medicine, Retrospective Studies
Abstract

Background: Favorable outcomes are seen in up to 50% of patients with World Federation of Neurosurgical Societies (WFNS) grade V aneurysmal subarachnoid hemorrhage. Therefore, the usefulness of the current WFNS grading system for identifying the worst scenarios for clinical studies and for making treatment decisions is limited. We previously modified the WFNS scale by requiring positive signs of brain stem dysfunction to assign grade V. This study aimed to validate the new herniation WFNS grading system in an independent prospective cohort. Methods: We conducted an international prospective multicentre study in poor-grade aneurysmal subarachnoid hemorrhage patients comparing the WFNS classification with a modified version—the herniation WFNS scale (hWFNS). Here, only patients who showed positive signs of brain stem dysfunction (posturing, anisocoric, or bilateral dilated pupils) were assigned hWFNS grade V. Outcome was assessed by modified Rankin Scale score 6 months after hemorrhage. The primary end point was the difference in specificity of the WFNS and hWFNS grading with respect to poor outcomes (modified Rankin Scale score 4–6). Results: Of the 250 patients included, 237 reached the primary end point. Comparing the WFNS and hWFNS scale after neurological resuscitation, the specificity to predict poor outcome increased from 0.19 (WFNS) to 0.93 (hWFNS) (McNemar, P P P P P Conclusions: The identification of objective positive signs of brain stem dysfunction significantly improves the specificity and positive predictive value with respect to poor outcome in grade V patients. Therefore, a simple modification—presence of brain stem signs is required for grade V—should be added to the WFNS classification. Registration: URL: https://clinicaltrials.gov ; Unique identifier: NCT02304328.

Published
2022

42. 135 Real-World Data of Microvascular Decompression in Trigeminal Neuralgia: Analysis of 26 Tertiary Care Centers of the European Continent

Author

Sommer, Björn, primary, Shiban, Ehab, additional, Schatlo, Bawarjan, additional, Rohde, Veit, additional, Thomé, Claudius, additional, Brito Silva Barbosa, Marcos Daniel, additional, Jödicke, Andreas, additional, Gandía González, Maria Luisa, additional, Blasco, Guillermo, additional, Demetriades, Andreas K., additional, Sure, Ulrich, additional, Vanaclocha, Vincente, additional, Mastronardi, Luciano, additional, Ringel, Florian, additional, Gonzalez-Lopez; Peter Vajkoczy, Pablo, additional, Ruiz-Juretschke, Fernando, additional, Stummer, Walter, additional, Sames, Martin, additional, Fedirko, Volodymyr, additional, Bijlenga, Philippe A., additional, Seifert, Volker, additional, Meyer, Bernhard, additional, and Lehmberg, Jens, additional

Published
2023
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43. Successful weaning versus permanent cerebrospinal fluid diversion after aneurysmal subarachnoid hemorrhage: post hoc analysis of a Swiss multicenter study

Author

El-Garci, Ahmed, primary, Zindel-Geisseler, Olivia, additional, Dannecker, Noemi, additional, Rothacher, Yannick, additional, Schlosser, Ladina, additional, Zeitlberger, Anna, additional, Velz, Julia, additional, Sebök, Martina, additional, Eggenberger, Noemi, additional, May, Adrien, additional, Bijlenga, Philippe, additional, Guerra-Lopez, Ursula, additional, Maduri, Rodolfo, additional, Beaud, Valérie, additional, Starnoni, Daniele, additional, Chiappini, Alessio, additional, Rossi, Stefania, additional, Robert, Thomas, additional, Bonasia, Sara, additional, Goldberg, Johannes, additional, Fung, Christian, additional, Bervini, David, additional, Gutbrod, Klemens, additional, Maldaner, Nicolai, additional, Früh, Severin, additional, Schwind, Marc, additional, Bozinov, Oliver, additional, Neidert, Marian C., additional, Brugger, Peter, additional, Keller, Emanuela, additional, Germans, Menno R., additional, Regli, Luca, additional, Hostettler, Isabel C., additional, Stienen, Martin N., additional, _, _, additional, Krayenbühl, Niklaus, additional, Esposito, Giuseppe, additional, Moiraghi, Alessandro, additional, Rocca, Alda, additional, Seule, Martin A., additional, Weyerbrock, Astrid, additional, Hlavica, Martin, additional, and Mueller, Mandy, additional

Published
2023
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44. Characteristics and distribution of intracranial aneurysms in Autosomal Dominant Polycystic Kidney Disease patients compared to the general population: a meta-analysis.

Author

Haemmerli, Julien, primary, Morel, Sandrine, additional, Georges, Marc, additional, Haidar, Fadi, additional, Chebib, Fouad T., additional, Morita, Akio, additional, Nozaki, Kazuhiko, additional, Tominaga, Teiji, additional, Bervitskiy, Anatoliy V., additional, Rzaev, Jamil, additional, Schaller, Karl, additional, and Bijlenga, Philippe, additional

Published
2023
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45. Decision-making and neurosurgeons’ agreement in the management of aneurysmal subarachnoid haemorrhage based on computed tomography angiography

Author

Maldaner, Nicolai, Burkhardt, Jan-Karl, Stienen, Martin Nikolaus, Goldberg, Johannes, Bervini, David, Bijlenga, Philippe, Croci, Davide, Zumofen, Daniel, D’Alonzo, Donato, Marbacher, Serge, Maduri, Rodolfo, Daniel, Roy Thomas, Serra, Carlo, Esposito, Giuseppe, Neidert, Marian C., Bozinov, Oliver, and Regli, Luca

Published
2017
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46. Comparison of statistical learning approaches for cerebral aneurysm rupture assessment

Author

Detmer, Felicitas J., Lückehe, Daniel, Mut, Fernando, Slawski, Martin, Hirsch, Sven, Bijlenga, Philippe, von Voigt, Gabriele, Cebral, Juan R., Detmer, Felicitas J., Lückehe, Daniel, Mut, Fernando, Slawski, Martin, Hirsch, Sven, Bijlenga, Philippe, von Voigt, Gabriele, and Cebral, Juan R.

Abstract

Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch), Purpose: Incidental aneurysms pose a challenge to physicians who need to decide whether or not to treat them. A statistical model could potentially support such treatment decisions. The aim of this study was to compare a previously developed aneurysm rupture logistic regression probability model (LRM) to other machine learning (ML) classifiers for discrimination of aneurysm rupture status. Methods: Hemodynamic, morphological, and patient-related information of 1631 cerebral aneurysms characterized by computational fluid dynamics simulations were used to train support vector machines (SVMs) with linear and RBF kernel (RBF-SVM), k-nearest neighbors (kNN), decision tree, random forest, and multilayer perceptron (MLP) neural network classifiers for predicting the aneurysm rupture status. The classifiers’ accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were evaluated and compared to the LRM using 249 test cases obtained from two external cohorts. Additionally, important variables were determined based on the random forest and weights of the linear SVM. Results: The AUCs of the MLP, LRM, linear SVM, RBF-SVM, kNN, decision tree, and random forest were 0.83, 0.82, 0.80, 0.81, 0.76, 0.70, and 0.79, respectively. The accuracy ranged between 0.76 (decision tree,) and 0.79 (linear SVM, RBF-SVM, and MLP). Important variables for predicting the aneurysm rupture status included aneurysm location, the mean surface curvature, and maximum flow velocity. Conclusion: The performance of the LRM was overall comparable to that of the other ML classifiers, confirming its potential for aneurysm rupture assessment. To further improve the predictions, additional information, e.g., related to the aneurysm wall, might be needed.

Published
2023

47. An explainable multicentric analysis for understanding the aetiology of intracranial aneurysm disease

Author

Delucchi, Matteo, Spinner, Georg R., Bijlenga, Philippe, Morel, Sandrine, Hostettler, Isabel, Werring, David, Wostrack, Maria, Meyer, Bernhard, Bourcier, Romain, Lindgren, Antti, Bakker, Mark K., Ruigrok, Ynte M., Furrer, Reinhard, Hirsch, Sven, Delucchi, Matteo, Spinner, Georg R., Bijlenga, Philippe, Morel, Sandrine, Hostettler, Isabel, Werring, David, Wostrack, Maria, Meyer, Bernhard, Bourcier, Romain, Lindgren, Antti, Bakker, Mark K., Ruigrok, Ynte M., Furrer, Reinhard, and Hirsch, Sven

Abstract

Aims: Intracranial aneurysms (IAs) are present in approximately 3% of the population [Vlak et al., 2011]. Rupture of IA leads to an aneurysmal subarachnoid haemorrhage with often poor functional outcomes [Lawton and Vates, 2017]. Unruptured IA (UIA) detection rates increase with advances in imaging technologies [Bijlenga et al., 2017]. The complexity of UIA treatment decision making is compounded by the difficulty of accurately predicting the risk of rupture and the lack of understanding of how modifiable factors affect IA rupture [Lognon et al., 2022]. Here, we show an explainable model for IA rupture based on easily accessible phenotypic risk factors. Methods: This model development study was validated on IA patient‑level registry data in a multicenter (n = 7) retrospective case‑control design with 9 phenotypic risk factors. Data were analysed using discrete and additive Bayesian network (BN) models. Expert knowledge a priori restricted the model search space, leading to a sparse network representing clinical expertise [Delucchi et al., 2022]. Results: We included 8604 patients with IA (median age 54y, IQR 45−63, 67% female), of whom 4254 (49%) patients had IA at the time of diagnosis. The point prevalence of recommended follow‑up patients with UIA [Bijlenga et al., 2013] was estimated to be approximately 43%. The joint probability distribution estimates patient‑specific disease management recommendations. Preliminary results indicate, for example, that older women with an IA in a low‑risk location are unlikely to experience a rupture (OR_{rupture} = 0.05), and patients who are active smokers at the time of IA diagnosis generally have a higher likelihood to be diagnosed with a ruptured IA (OR_{rupture} = 1.46). Conclusions: This study shows that mixed‑effect additive BNs can help clinicians understand the aetiology of IA rupture and may have potential for providing personalised guidance for UIA management. Our findings anticipate the starting point for IA disease

Published
2023

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

Author

Bijlenga, Philippe, Morel, Sandrine, Hirsch, Sven, Schaller, Karl, Rüfenacht, Daniel, Bijlenga, Philippe, Morel, Sandrine, Hirsch, Sven, Schaller, Karl, and Rüfenacht, Daniel

Abstract

The disease resulting in the formation, growth, and rupture of intracranial aneurysms is complex. Research is accumulating evidence that the disease is driven by many different factors, some constant and others variable over time. Combinations of factors may induce specific biophysical reactions at different stages of the disease. A better understanding of the biophysical mechanisms responsible for the disease initiation and progression is essential to predict the natural history of the disease. More accurate predictions are mandatory to adequately balance risks between observation and intervention at the individual level as expected in the age of personalized medicine. Multidisciplinary exploration of the disease also opens an avenue to the discovery of possible preventive actions or medical treatments. Modern information technologies and data processing methods offer tools to address such complex challenges requiring 1) the collection of a high volume of information provided globally, 2) integration and harmonization of the information, and 3) management of data sharing with a broad spectrum of stakeholders.Over the last decade an infrastructure has been set up and is now made available to the academic community to support and promote exploration of intracranial disease, modeling, and clinical management simulation and monitoring.The background and purpose of the infrastructure is reviewed. The infrastructure data flow architecture is presented. The basic concepts of disease modeling that oriented the design of the core information model are explained. Disease phases, milestones, cases stratification group in each phase, key relevant factors, and outcomes are defined. Data processing and disease model visualization tools are presented. Most relevant contributions to the literature resulting from the exploitation of the infrastructure are reviewed, and future perspectives are discussed.

Published
2023

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

Author

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., 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., and Ruigrok, Ynte M.

Abstract

Correction to: Nature Genetics https://doi.org/10.1038/s41588-020-00725-7, published online 16 November 2020.

Published
2023

50. A Genome-Wide Association Study of Outcome After Aneurysmal Subarachnoid Haemorrhage: Discovery Analysis

Author

Neurogenetica, Neurologen, Brain, Circulatory Health, Gaastra, Ben, Alexander, Sheila, Bakker, Mark K., Bhagat, Hemant, Bijlenga, Philippe, Blackburn, Spiros L., Collins, Malie K., Doré, Sylvain, Griessenauer, Christoph J., Hendrix, Philipp, Hong, Eun Pyo, Hostettler, Isabel C., Houlden, Henry, IIhara, Koji, Jeon, Jin Pyeong, Kim, Bong Jun, Li, Jiang, Morel, Sandrine, Nyquist, Paul, Ren, Dianxu, Ruigrok, Ynte M., Werring, David, Tapper, Will, Galea, Ian, Bulters, Diederik, Neurogenetica, Neurologen, Brain, Circulatory Health, Gaastra, Ben, Alexander, Sheila, Bakker, Mark K., Bhagat, Hemant, Bijlenga, Philippe, Blackburn, Spiros L., Collins, Malie K., Doré, Sylvain, Griessenauer, Christoph J., Hendrix, Philipp, Hong, Eun Pyo, Hostettler, Isabel C., Houlden, Henry, IIhara, Koji, Jeon, Jin Pyeong, Kim, Bong Jun, Li, Jiang, Morel, Sandrine, Nyquist, Paul, Ren, Dianxu, Ruigrok, Ynte M., Werring, David, Tapper, Will, Galea, Ian, and Bulters, Diederik

Published
2023

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