A novel approach for local abdominal aortic aneurysm growth quantification.
Although aneurysm size still remains the most accepted predictor of rupture risk, abdominal aortic aneurysms (AAAs) with maximum diameter smaller than 5 cm may also rupture. Growth rate is an additional marker for rupture risk as it potentially reflects an undesirable wall remodeling that leads to f...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1277 - 1287 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=124485685&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485685 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2017 vid: 55 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 124485685 124485685 144040227 NLM27817042 124485685 10.1007/s11517-016-1592-8 NLM27817042 124485685 ppf: 1277 ppct: 10 formats: fmt: @attributes: type: P tig: atl: A novel approach for local abdominal aortic aneurysm growth quantification. aug: au: Metaxa, Eleni Iordanov, Iordan Maravelakis, Emmanuel Papaharilaou, Yannis affil: Institute of Applied and Computational Mathematics , Foundation for Research and Technology - Hellas , Nikolaou Plastira 100, Vassilika Vouton 700 13 Heraklion Greece sug: subj: Tomography, X-Ray Computed Methods Vascular Remodeling Aorta, Abdominal Pathology Aortic Aneurysm, Abdominal Pathology Models, Biological Aorta, Abdominal Physiopathology Aortic Aneurysm, Abdominal Physiopathology Disease Progression Female Computer Simulation Radiographic Image Interpretation, Computer-Assisted Aged Male Aortic Aneurysm, Abdominal Aorta, Abdominal Models, Anatomic Human Aged: 65+ years Female Male ab: Although aneurysm size still remains the most accepted predictor of rupture risk, abdominal aortic aneurysms (AAAs) with maximum diameter smaller than 5 cm may also rupture. Growth rate is an additional marker for rupture risk as it potentially reflects an undesirable wall remodeling that leads to fast regional growth. Currently, an indication for surgery is an expansion rate >10 mm/year, measured as change in maximum diameter over time. However, as AAA expansion is non-uniform, it is questionable whether measurement of maximum diameter change over time can capture increased localized remodeling activity. A method for estimating AAA surface area growth is introduced, providing a better measure of local wall deformation. The proposed approach is based on the non-rigid iterative closest point algorithm. Optimization and validation is performed using 12 patient-specific AAA geometries artificially deformed to produce a target surface with known nodal displacements. Mesh density sensitivity, range of uncertainty, and method limitations are discussed. Application to ten AAA patient-specific follow-ups suggested that maximum diameter growth does not correlate strongly with the maximum surface growth (R 2 = 0.614), which is not always colocated with maximum diameter, or uniformly distributed. Surface growth quantification could reinforce the quality of aneurysm surveillance programs. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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