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.
URI: https://www.compbiomed.net/getfile.php?type=16/site_documents&id=CMBE%202022%20Proceedings%20volume1.pdf
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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