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Relationship between cerebral aneurysm wall stiffness and rupture risk
- Source :
- Computer Methods in Biomechanics and Biomedical Engineering, Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2017, 20 (sup1), pp.33-34. ⟨10.1080/10255842.2017.1382847⟩
- Publication Year :
- 2017
- Publisher :
- Informa UK Limited, 2017.
-
Abstract
- International audience; Haemorrhage stroke is a major issue for public health care. The prevalence of intracranial aneurysms in the general population ranges between 3 and 6.6% (Wardlaw and White 2000). Fortunately, very few aneurysms rupture. The incidence of ruptured aneurysms is approximately 0.5% per year. However, patients are stressful and wants to be treated. But, endovascular treatment of unruptured aneurysms, which is the safest treatment, is not without risk and has about 1% mortality rate (Sluzewski et al. 2001). So, unruptured intracranial aneurysms represent a dilemma for the physicians.In 2011 (Costalat et al.), we have proposed an indicator base on the relationship between the mechanical properties of wall aneurysm tissues and the rupture risk. First conclusions suggested that the softer tissue is, the higher rupture risk is.The present study aims to confirm these results, initiates with only 16 samples, studying 26 more aneurysms.
- Subjects :
- medicine.medical_specialty
0206 medical engineering
Population
Biomedical Engineering
Bioengineering
02 engineering and technology
stiffness
03 medical and health sciences
0302 clinical medicine
Aneurysm
Wall stiffness
medicine
mechanical identification
Rupture risk
cardiovascular diseases
Endovascular treatment
education
Stroke
Cerebral aneurysm
education.field_of_study
business.industry
Mortality rate
Incidence (epidemiology)
[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph]
General Medicine
medicine.disease
020601 biomedical engineering
3. Good health
Computer Science Applications
Surgery
Human-Computer Interaction
cardiovascular system
rupture
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14768259 and 10255842
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Computer Methods in Biomechanics and Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....c583162b033d65c0dbeeb605e2897d09