Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-25386
Publication type: Conference paper
Type of review: Peer review (abstract)
Title: The role of shape for aneurysm risk assessment
Authors: Juchler, Norman
Bijlenga, Philippe
Hirsch, Sven
et. al: No
DOI: 10.21256/zhaw-25386
Proceedings: CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering
Editors of the parent work: Nithiarasu, Perumal
Vergara, Christian
Volume(Issue): 1
Page(s): 84
Pages to: 86
Conference details: 7th International Conference on Computational and Mathematical Biomedical Engineering (CMBE22), Milan, Italy, 27-29 June 2022
Issue Date: 2022
Publisher / Ed. Institution: Computational & Mathematical Biomedical Engineering
ISBN: 978-0-9562914-6-2
ISSN: 2227-3085
2227-9385
Language: English
Subjects: Intracranial aneurysm; Morphology; Data-driven analysis
Subject (DDC): 005: Computer programming, programs and data
616: Internal medicine and diseases
Abstract: Although the shape of intracranial aneurysms and the geometry of the surrounding vasculature are commonly taken into account by clinicians when assessing and treating aneurysms, it remains dif- ficult to quantify shape and develop clinical guidelines or tools that accommodate aneurysm shape. Here, we present new evidence that aneurysm shape is a meaningful proxy for disease status, the re- sults of a benchmark analysis comparing novel and established measurement methods for their ability to discriminate between ruptured and unruptured aneurysms, and how these findings can be trans- lated into clinics. We conclude with a plea for multi-centric data collections and present our own contributions to it.
Further description: Proceedings: https://www.compbiomed.net/2021/cmbe-proceedings.htm
URI: https://digitalcollection.zhaw.ch/handle/11475/25386
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Computational Life Sciences (ICLS)
Published as part of the ZHAW project: AneuX
Appears in collections:Publikationen Life Sciences und Facility Management

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Juchler, N., Bijlenga, P., & Hirsch, S. (2022). The role of shape for aneurysm risk assessment [Conference paper]. In P. Nithiarasu & C. Vergara (Eds.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering (Vol. 1, pp. 84–86). Computational & Mathematical Biomedical Engineering. https://doi.org/10.21256/zhaw-25386
Juchler, N., Bijlenga, P. and Hirsch, S. (2022) ‘The role of shape for aneurysm risk assessment’, in P. Nithiarasu and C. Vergara (eds) CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Computational & Mathematical Biomedical Engineering, pp. 84–86. Available at: https://doi.org/10.21256/zhaw-25386.
N. Juchler, P. Bijlenga, and S. Hirsch, “The role of shape for aneurysm risk assessment,” in CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, 2022, vol. 1, pp. 84–86. doi: 10.21256/zhaw-25386.
JUCHLER, Norman, Philippe BIJLENGA und Sven HIRSCH, 2022. The role of shape for aneurysm risk assessment. In: Perumal NITHIARASU und Christian VERGARA (Hrsg.), CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering. Conference paper. Computational & Mathematical Biomedical Engineering. 2022. S. 84–86. ISBN 978-0-9562914-6-2
Juchler, Norman, Philippe Bijlenga, and Sven Hirsch. 2022. “The Role of Shape for Aneurysm Risk Assessment.” Conference paper. In CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, 1:84–86. Computational & Mathematical Biomedical Engineering. https://doi.org/10.21256/zhaw-25386.
Juchler, Norman, et al. “The Role of Shape for Aneurysm Risk Assessment.” CMBE 2022 : 7th International Conference on Computational & Mathematical Biomedical Engineering, edited by Perumal Nithiarasu and Christian Vergara, vol. 1, Computational & Mathematical Biomedical Engineering, 2022, pp. 84–86, https://doi.org/10.21256/zhaw-25386.


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