A robust approach for exploring hemodynamics and thrombus growth associations in abdominal aortic aneurysms.
Longitudinal studies of vascular diseases often need to establish correspondence between follow-up images, as the diseased regions may change shape over time. In addition, spatial data structures should be taken into account in the statistical analyses to avoid inferential errors. This study investi...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 8; pp. 1493 - 1507 |
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| Autores principales: | , , , , , , |
| Formato: | case study diagnostic images equations & formulas 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=124485669&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 124485669 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: 124485669 124485669 144032089 NLM28044244 124485669 10.1007/s11517-016-1610-x NLM28044244 124485669 ppf: 1493 ppct: 14 formats: fmt: @attributes: type: P tig: atl: A robust approach for exploring hemodynamics and thrombus growth associations in abdominal aortic aneurysms. aug: au: Tzirakis, Konstantinos Kamarianakis, Yiannis Metaxa, Eleni Kontopodis, Nikolaos Ioannou, Christos Papaharilaou, Yannis Ioannou, Christos V affil: Institute of Applied and Computational Mathematics , Foundation for Research and Technology , 100 Nikolaou Plastira str, Vassilika Vouton 700 13 Heraklion Greece sug: subj: Thrombosis Physiopathology Aorta, Abdominal Pathology Thrombosis Pathology Models, Biological Aortic Aneurysm, Abdominal Pathology Aortic Aneurysm, Abdominal Physiopathology Aorta, Abdominal Physiopathology Stress, Mechanical Thrombosis Disease Progression Blood Flow Velocity Aortic Aneurysm, Abdominal Aged, 80 and Over Hemodynamics Biomechanics Computer Simulation Aorta, Abdominal Aged Blood Pressure Human Aged, 80 & over Aged: 65+ years ab: Longitudinal studies of vascular diseases often need to establish correspondence between follow-up images, as the diseased regions may change shape over time. In addition, spatial data structures should be taken into account in the statistical analyses to avoid inferential errors. This study investigates the association between hemodynamics and thrombus growth in abdominal aortic aneurysms (AAAs) while emphasizing on the abovementioned methodological issues. Six AAA surfaces and their follow-ups were three-dimensionally reconstructed from computed-tomography images. AAA surfaces were mapped onto a rectangular grid which allowed identification of corresponding regions between follow-ups. Local thrombus thickness was measured at initial and follow-up surfaces and computational fluid dynamic simulations provided time-average wall shear stress (TAWSS), oscillatory shear index (OSI), and relative residence time. Six Bayesian regression models, which account for spatially correlated measurements, were employed to explore associations between hemodynamics and thrombus growth. Results suggest that spatial regression models based on TAWSS and OSI offer superior predictive performance for thrombus growth relative to alternative specifications. Ignoring the spatial data structure may lead to improper assessment with regard to predictor significance. pubtype: Academic Journal doctype: case study diagnostic images equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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