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Imaging predictive factors of abdominal aortic aneurysm growth
dc.creator | Nana P., Spanos K., Dakis K., Brodis A., Kouvelos G. | en |
dc.date.accessioned | 2023-01-31T09:03:20Z | |
dc.date.available | 2023-01-31T09:03:20Z | |
dc.date.issued | 2021 | |
dc.identifier | 10.3390/jcm10091917 | |
dc.identifier.issn | 20770383 | |
dc.identifier.uri | http://hdl.handle.net/11615/76898 | |
dc.description.abstract | Background: Variable imaging methods may add important information about abdominal aortic aneurysm (AAA) progression. The aim of this study is to assess available literature data regarding the predictive imaging factors of AAA growth. Methods: This systematic review was conducted using the PRISMA guidelines. A review of the literature was conducted, using PubMed, EMBASE and CENTRAL databases. The quality of the studies was assessed using the Newcastle-Ottawa Scale. Primary outcomes were defined as AAA growth rate and factors associated to sac expansion. Results: The analysis included 23 studies. All patients (2244; mean age; 69.8 years, males; 85%) underwent imaging with different modalities; the initial evaluation was followed by one or more studies to assess aortic expansion. AAA initial diameter was reported in 13 studies (range 19.9–50.9 mm). Mean follow-up was 34.5 months. AAA diameter at the end was ranging between 20.3 and 55 mm. The initial diameter and intraluminal thrombus were characterized as prognostic factors associated to aneurysm expansion. A negative association between atherosclerosis and AAA expansion was documented. Conclusions: Aneurysm diameter is the most studied factor to be associated with expansion and the main indication for intervention. Appropriate diagnostic modali-ties may account for different anatomical characteristics and identify aneurysms with rapid growth and higher rupture risk. Future perspectives, including computed mathematical models that will assess wall stress and elasticity and further flow characteristics, may offer valuable alternatives in AAA growth prediction. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | en |
dc.language.iso | en | en |
dc.source | Journal of Clinical Medicine | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110243783&doi=10.3390%2fjcm10091917&partnerID=40&md5=3212508fcee252fcae91727c97d13d90 | |
dc.subject | abdominal aortic aneurysm | en |
dc.subject | aged | en |
dc.subject | aneurysm diameter | en |
dc.subject | atherosclerosis | en |
dc.subject | cohort analysis | en |
dc.subject | computed tomographic angiography | en |
dc.subject | diagnostic imaging | en |
dc.subject | echography | en |
dc.subject | female | en |
dc.subject | follow up | en |
dc.subject | human | en |
dc.subject | male | en |
dc.subject | mathematical model | en |
dc.subject | meta analysis | en |
dc.subject | nuclear magnetic resonance imaging | en |
dc.subject | observational study | en |
dc.subject | positron emission tomography | en |
dc.subject | prediction | en |
dc.subject | prognosis | en |
dc.subject | Review | en |
dc.subject | screening | en |
dc.subject | systematic review | en |
dc.subject | thrombus | en |
dc.subject | MDPI | en |
dc.title | Imaging predictive factors of abdominal aortic aneurysm growth | en |
dc.type | other | en |
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