Contribution of Risk Factors to the Development of Coronary Atherosclerosis as Confirmed via Coronary CT Angiography: A Longitudinal Radiomics-based Study.
C-Reactive Protein
/ metabolism
Cocaine-Related Disorders
/ complications
Computed Tomography Angiography
/ methods
Coronary Angiography
/ methods
Coronary Artery Disease
/ diagnostic imaging
Female
Genetic Predisposition to Disease
HIV Infections
/ complications
Humans
Hydroxymethylglutaryl-CoA Reductase Inhibitors
/ therapeutic use
Longitudinal Studies
Male
Middle Aged
Phenotype
Plaque, Atherosclerotic
/ diagnostic imaging
Risk Factors
Journal
Radiology
ISSN: 1527-1315
Titre abrégé: Radiology
Pays: United States
ID NLM: 0401260
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
pubmed:
17
2
2021
medline:
12
8
2021
entrez:
16
2
2021
Statut:
ppublish
Résumé
Background Various cardiovascular risk factors are thought to modify atherosclerosis in a similar fashion (ie, by increasing the magnitude of coronary artery disease [CAD]). However, coronary CT angiography allows precision phenotyping of plaque characteristics through use of radiomics. Purpose To assess whether different cardiovascular risk factors have distinctive contributions to the changes in plaque morphologic features over time. Materials and Methods Individuals with or without HIV infection and cocaine use and without cardiovascular symptoms underwent coronary CT angiography between May 2004 and August 2015. In the current HIPAA-compliant study, the effects of cocaine use, HIV infection, and atherosclerotic cardiovascular disease (ASCVD) risk on the temporal changes (mean ± standard deviation, 4.0 years ± 2.3 between CT angiographic examinations) in CAD structure were analyzed by using radiomic analysis. The changes in radiomic features were analyzed by using linear mixed models, with correction for factors that may change plaque structure: high-sensitivity C-reactive protein level, statin use, positive family history of CAD, and total plaque volume to account for any potential intrinsic correlation between volume and morphologic features. Clusters among significant radiomic features were identified by using hierarchical clustering. Bonferroni-corrected
Identifiants
pubmed: 33591887
doi: 10.1148/radiol.2021203179
pmc: PMC7997618
doi:
Substances chimiques
Hydroxymethylglutaryl-CoA Reductase Inhibitors
0
C-Reactive Protein
9007-41-4
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
97-106Subventions
Organisme : NIDA NIH HHS
ID : R01 DA012777
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA040325
Pays : United States
Organisme : NIDA NIH HHS
ID : R21 DA048780
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA015020
Pays : United States
Organisme : NIDA NIH HHS
ID : R01 DA025524
Pays : United States
Commentaires et corrections
Type : CommentIn
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