Assessing the Relationship between Atherosclerotic Cardiovascular Disease Risk Score and Carotid Artery Imaging Findings.


Journal

Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705

Informations de publication

Date de publication:
01 2019
Historique:
received: 03 08 2018
revised: 05 10 2018
accepted: 09 10 2018
pubmed: 26 10 2018
medline: 5 3 2020
entrez: 26 10 2018
Statut: ppublish

Résumé

To characterize the relationship between computed tomography angiography (CTA) imaging characteristics of carotid artery and the 10-year risk of atherosclerotic cardiovascular disease (ASCVD) score. We retrospectively identified all patients who underwent a cervical CTA at our institution from January 2013 to July 2016, extracted clinical information, and calculated the 10-year ASCVD score using the Pooled Cohort Equations from the 2013 ACC/AHA guidelines. We compared the imaging features of artery atherosclerosis derived from the CTAs between low and high risk. One hundred forty-six patients met our inclusion criteria. Patients with an ASCVD score ≥7.5% (64.4%) had significantly more arterial stenosis than patients with an ASCVD score <7.5% (35.6%, P < .001). Maximal plaque thickness was significantly higher (mean 2.33 vs. .42 mm, P < .001) and soft plaques (55.3% vs. 13.5%, P < .001) were significantly more frequent in patients with an ASCVD score ≥7.5%. However, among patients with a 10-year ASCVD score ≥7.5%, 33 (35.1%) had no arterial stenosis, 35 (37.2%) had a maximal plaque thickness less than. 9 mm, and 42 (44.7%) had no soft plaque. Furthermore, among the patients with a 10-year ASCVD score <7.5%, 8 (15.4%) had some arterial stenosis, 8 (15.4%) had a maximal plaque thickness more than. 9 mm, and 7 (13.5%) had soft plaque. There is some concordance but not a perfect overlap between the 10-year ASCVD risk scores calculated from clinical and blood assessment and carotid artery imaging findings.

Sections du résumé

BACKGROUND AND PURPOSE
To characterize the relationship between computed tomography angiography (CTA) imaging characteristics of carotid artery and the 10-year risk of atherosclerotic cardiovascular disease (ASCVD) score.
METHODS
We retrospectively identified all patients who underwent a cervical CTA at our institution from January 2013 to July 2016, extracted clinical information, and calculated the 10-year ASCVD score using the Pooled Cohort Equations from the 2013 ACC/AHA guidelines. We compared the imaging features of artery atherosclerosis derived from the CTAs between low and high risk.
RESULTS
One hundred forty-six patients met our inclusion criteria. Patients with an ASCVD score ≥7.5% (64.4%) had significantly more arterial stenosis than patients with an ASCVD score <7.5% (35.6%, P < .001). Maximal plaque thickness was significantly higher (mean 2.33 vs. .42 mm, P < .001) and soft plaques (55.3% vs. 13.5%, P < .001) were significantly more frequent in patients with an ASCVD score ≥7.5%. However, among patients with a 10-year ASCVD score ≥7.5%, 33 (35.1%) had no arterial stenosis, 35 (37.2%) had a maximal plaque thickness less than. 9 mm, and 42 (44.7%) had no soft plaque. Furthermore, among the patients with a 10-year ASCVD score <7.5%, 8 (15.4%) had some arterial stenosis, 8 (15.4%) had a maximal plaque thickness more than. 9 mm, and 7 (13.5%) had soft plaque.
CONCLUSION
There is some concordance but not a perfect overlap between the 10-year ASCVD risk scores calculated from clinical and blood assessment and carotid artery imaging findings.

Identifiants

pubmed: 30357980
doi: 10.1111/jon.12573
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119-125

Informations de copyright

© 2018 by the American Society of Neuroimaging.

Auteurs

Ying Li (Y)

Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA.
Department of Neurology, PLA Army General Hospital, Beijing, China.

Guangming Zhu (G)

Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA.

Victoria Ding (V)

Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA.

Yonghua Huang (Y)

Department of Neurology, PLA Army General Hospital, Beijing, China.

Bin Jiang (B)

Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA.

Robyn L Ball (RL)

Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA.

Fatima Rodriguez (F)

Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA.

Dominik Fleischmann (D)

Department of Radiology, Cardiovascular Imaging Section, Stanford University School of Medicine, Palo Alto, CA.

Manisha Desai (M)

Department of Medicine, Quantitative Sciences Unit, Stanford University School of Medicine, Palo Alto, CA.

David Saloner (D)

Department of Radiology, University of California San Francisco, San Francisco, CA.

Luca Saba (L)

Dipartimento di Radiologia, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.

Jason Hom (J)

Department of Medicine, Stanford University School of Medicine, Palo Alto, CA.

Max Wintermark (M)

Department of Radiology, Neuroradiology Section, Stanford University School of Medicine, Palo Alto, CA.

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