Combining Volumetric and Wall Shear Stress Analysis from CT to Assess Risk of Abdominal Aortic Aneurysm Progression.
Aged
Aged, 80 and over
Aorta, Abdominal
/ diagnostic imaging
Aortic Aneurysm, Abdominal
/ diagnostic imaging
Cone-Beam Computed Tomography
/ methods
Disease Progression
Female
Hemodynamics
/ physiology
Humans
Male
Middle Aged
Prospective Studies
Registries
Risk Assessment
Sensitivity and Specificity
Thrombosis
/ diagnostic imaging
Journal
Radiology
ISSN: 1527-1315
Titre abrégé: Radiology
Pays: United States
ID NLM: 0401260
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
pubmed:
2
4
2020
medline:
31
7
2020
entrez:
2
4
2020
Statut:
ppublish
Résumé
Background Despite known limitations, the decision to operate on abdominal aortic aneurysm (AAA) is primarily on the basis of measurement of maximal aneurysm diameter. Purpose To identify volumetric and computational fluid dynamics parameters to predict AAAs that are likely to progress in size. Materials and Methods This study, part of a multicenter prospective registry (NCT01599533), included 126 patients with AAA. Patients were sorted into stable (≤10-mL increase in aneurysm volume) and progression (>10-mL increase in aneurysm volume) groups. Initial AAA characteristics of the derivation cohort were analyzed (maximal diameter and surface, thrombus and lumen volumes, maximal wall pressure, and wall shear stress [WSS]) to identify relevant parameters for a logistic regression model. Model and maximal diameter diagnostic performances were assessed in both cohorts and for AAAs smaller than 50 mm by using area under the receiver operating characteristic curve (AUC). Results Eighty-one patients were included (mean age, 73 years ± 7 years [standard deviation]; 78 men). The derivation and validation cohorts included, respectively, 50 and 31 participants. In the derivation cohort, there was higher mean lumen volume and lower mean WSS in the progression group compared with the stable group (60 mL ± 14 vs 46 mL ± 18 [
Identifiants
pubmed: 32228297
doi: 10.1148/radiol.2020192112
doi:
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
722-729Commentaires et corrections
Type : CommentIn