Imaging Biomarkers and Prevalence of Complex Aortic Plaque in Cryptogenic Stroke: A Systematic Review.


Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
05 Dec 2023
Historique:
medline: 7 12 2023
pubmed: 28 11 2023
entrez: 28 11 2023
Statut: ppublish

Résumé

Complex aortic plaque (CAP) is a potential embolic source in patients with cryptogenic stroke (CS). We review CAP imaging criteria for transesophageal echocardiogram (TEE), computed tomography angiography (CTA), and magnetic resonance imaging and calculate CAP prevalence in patients with acute CS. PubMed and EMBASE databases were searched up to December 2022 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Two independent reviewers extracted data on study design, imaging techniques, CAP criteria, and prevalence. The Cochrane Collaboration tool and Guideline for Reporting Reliability and Agreement Studies were used to assess risk of bias and reporting completeness, respectively. From 2293 studies, 45 were reviewed for CAP imaging biomarker criteria in patients with acute CS (N=37 TEE; N=9 CTA; N=6 magnetic resonance imaging). Most studies (74%) used ≥4 mm plaque thickness as the imaging criterion for CAP although ≥1 mm (N=1, CTA), ≥5 mm (N=5, TEE), and ≥6 mm (N=2, CTA) were also reported. Additional features included mobility, ulceration, thrombus, protrusions, and assessment of plaque composition. From 23 prospective studies, CAP was detected in 960 of 2778 patients with CS (0.32 [95% CI, 0.24-0.41], TEE was commonly used to assess CAP in patients with CS. The most common CAP imaging biomarker was ≥4 mm plaque thickness. CAP was observed in one-third of patients with acute CS. However, high study heterogeneity suggests a need for reproducible imaging methods.

Sections du résumé

BACKGROUND BACKGROUND
Complex aortic plaque (CAP) is a potential embolic source in patients with cryptogenic stroke (CS). We review CAP imaging criteria for transesophageal echocardiogram (TEE), computed tomography angiography (CTA), and magnetic resonance imaging and calculate CAP prevalence in patients with acute CS.
METHODS AND RESULTS RESULTS
PubMed and EMBASE databases were searched up to December 2022 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Two independent reviewers extracted data on study design, imaging techniques, CAP criteria, and prevalence. The Cochrane Collaboration tool and Guideline for Reporting Reliability and Agreement Studies were used to assess risk of bias and reporting completeness, respectively. From 2293 studies, 45 were reviewed for CAP imaging biomarker criteria in patients with acute CS (N=37 TEE; N=9 CTA; N=6 magnetic resonance imaging). Most studies (74%) used ≥4 mm plaque thickness as the imaging criterion for CAP although ≥1 mm (N=1, CTA), ≥5 mm (N=5, TEE), and ≥6 mm (N=2, CTA) were also reported. Additional features included mobility, ulceration, thrombus, protrusions, and assessment of plaque composition. From 23 prospective studies, CAP was detected in 960 of 2778 patients with CS (0.32 [95% CI, 0.24-0.41],
CONCLUSIONS CONCLUSIONS
TEE was commonly used to assess CAP in patients with CS. The most common CAP imaging biomarker was ≥4 mm plaque thickness. CAP was observed in one-third of patients with acute CS. However, high study heterogeneity suggests a need for reproducible imaging methods.

Identifiants

pubmed: 38014682
doi: 10.1161/JAHA.123.031797
doi:

Substances chimiques

Biomarkers 0

Types de publication

Systematic Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e031797

Auteurs

Yu Sakai (Y)

Department of Radiology University of Pennsylvania Philadelphia PA USA.

Quy Cao (Q)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine University of Pennsylvania Philadelphia PA USA.

Jeremy Rubin (J)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine University of Pennsylvania Philadelphia PA USA.

Jens Witsch (J)

Department of Neurology University of Pennsylvania Philadelphia PA USA.

Dan Cohen-Addad (D)

Department of Radiology and Imaging Sciences Emory University Atlanta GA USA.

Katyucia de Macedo Rodrigues (K)

Greensboro Radiology Greensboro NC USA.

Maria Begoña Coco-Martin (MB)

Department of Neurology University of Valladolid Valladolid Spain.

Pouyan Pasyar (P)

Department of Radiology University of Pennsylvania Philadelphia PA USA.

Jesús Juega (J)

Department of Neurology Vall d'Hebron University Hospital Barcelona Spain.

Zhaoyang Fan (Z)

Departments of Radiology, Biomedical Engineering, and Radiation Oncology University of Southern California Los Angeles CA USA.

Scott E Kasner (SE)

Department of Neurology University of Pennsylvania Philadelphia PA USA.

Brett L Cucchiara (BL)

Department of Neurology University of Pennsylvania Philadelphia PA USA.

Jae W Song (JW)

Department of Radiology University of Pennsylvania Philadelphia PA USA.

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Classifications MeSH