Impact Analysis of Different CT Configurations of Carotid Artery Plaque Calcifications on Cerebrovascular Events.


Journal

AJNR. American journal of neuroradiology
ISSN: 1936-959X
Titre abrégé: AJNR Am J Neuroradiol
Pays: United States
ID NLM: 8003708

Informations de publication

Date de publication:
02 2022
Historique:
received: 14 07 2021
accepted: 15 11 2021
entrez: 5 2 2022
pubmed: 6 2 2022
medline: 11 3 2022
Statut: ppublish

Résumé

CT is considered the standard reference both for quantification and characterization of carotid artery calcifications. Our aim was to investigate the relationship among different types of calcium configurations detected with CT within the plaque with a novel classification and to investigate the prevalence of cerebrovascular events. Seven hundred ninety patients (men = 332; mean age, 69.7 [SD, 13] years; 508 symptomatic for cerebrovascular symptoms and 282 asymptomatic) who underwent computed tomography of the carotid arteries were retrospectively included in this institutional review board-approved study. The plaque was classified into 6 types according to the different types of calcium configurations as the following: type 1, complete absence of calcification within the plaque; type 2, intimal or superficial calcifications; type 3, deep or bulky calcifications; type 4, adventitial calcifications with internal soft plaque of <2 mm thickness; type 5, mixed patterns with intimal and bulky calcifications; and type 6, positive rim sign. The highest prevalence of cerebrovascular events was observed for type 6, for which 89 of the 99 cases were symptomatic. Type 6 plaque had the highest degree of correlation with TIA, stroke, symptoms, and ipsilateral infarct for both sides with a higher prevalence in younger patients. The frequency of symptoms observed by configuration type significantly differed between right and left plaques, with symptoms observed more frequently in type 6 calcification on the right side (50/53; 94%) than on the left side (39/46; 85%, We propose a novel carotid artery plaque configuration classification that is associated with the prevalence of cerebrovascular events. If confirmed in longitudinal analysis, this classification could be used to stratify the risk of occurrence of ischemic events.

Sections du résumé

BACKGROUND AND PURPOSE
CT is considered the standard reference both for quantification and characterization of carotid artery calcifications. Our aim was to investigate the relationship among different types of calcium configurations detected with CT within the plaque with a novel classification and to investigate the prevalence of cerebrovascular events.
MATERIALS AND METHODS
Seven hundred ninety patients (men = 332; mean age, 69.7 [SD, 13] years; 508 symptomatic for cerebrovascular symptoms and 282 asymptomatic) who underwent computed tomography of the carotid arteries were retrospectively included in this institutional review board-approved study. The plaque was classified into 6 types according to the different types of calcium configurations as the following: type 1, complete absence of calcification within the plaque; type 2, intimal or superficial calcifications; type 3, deep or bulky calcifications; type 4, adventitial calcifications with internal soft plaque of <2 mm thickness; type 5, mixed patterns with intimal and bulky calcifications; and type 6, positive rim sign.
RESULTS
The highest prevalence of cerebrovascular events was observed for type 6, for which 89 of the 99 cases were symptomatic. Type 6 plaque had the highest degree of correlation with TIA, stroke, symptoms, and ipsilateral infarct for both sides with a higher prevalence in younger patients. The frequency of symptoms observed by configuration type significantly differed between right and left plaques, with symptoms observed more frequently in type 6 calcification on the right side (50/53; 94%) than on the left side (39/46; 85%,
CONCLUSIONS
We propose a novel carotid artery plaque configuration classification that is associated with the prevalence of cerebrovascular events. If confirmed in longitudinal analysis, this classification could be used to stratify the risk of occurrence of ischemic events.

Identifiants

pubmed: 35121588
pii: 43/2/272
doi: 10.3174/ajnr.A7401
pmc: PMC8985662
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

272-279

Informations de copyright

© 2022 by American Journal of Neuroradiology.

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Auteurs

L Saba (L)

From the Department of Radiology (L.S., R.C., F.P.), Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy lucasaba@tiscali.it.

H Chen (H)

Department of Radiology (H.C., G.Z., B.J., M.W.), Division of Neuroradiology, Stanford University Hospital, Stanford, California.

R Cau (R)

From the Department of Radiology (L.S., R.C., F.P.), Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.

G D Rubeis (GD)

Department of Radiology, UOC of Diagnostic and Interventional Neuroradiology (G.D.R.), San Camillo-Forlanini Hospital, Rome, Italy.

G Zhu (G)

Department of Radiology (H.C., G.Z., B.J., M.W.), Division of Neuroradiology, Stanford University Hospital, Stanford, California.

F Pisu (F)

From the Department of Radiology (L.S., R.C., F.P.), Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.

B Jang (B)

Department of Radiology (H.C., G.Z., B.J., M.W.), Division of Neuroradiology, Stanford University Hospital, Stanford, California.

G Lanzino (G)

Department of Neurologic Surgery (G.L.), Mayo Clinic, Rochester, Minnesota.

J S Suri (JS)

Stroke Monitoring and Diagnostic Division (J.S.S.), AtheroPoint, Roseville, California.

Y Qi (Y)

Department of Xuanwu Hospital (Y.Q.), Capital Medical University, Beijing, Chin.

M Wintermark (M)

Department of Radiology (H.C., G.Z., B.J., M.W.), Division of Neuroradiology, Stanford University Hospital, Stanford, California.

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