An Approach to Point-Of-Care Ultrasound Evaluation of the Abdominal Aorta.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
08 09 2023
Historique:
medline: 26 9 2023
pubmed: 25 9 2023
entrez: 25 9 2023
Statut: epublish

Résumé

Disorders of the abdominal aorta, including aneurysms and dissection, have potentially high rates of morbidity and mortality. While computed tomography (CT) is the current gold standard to image the abdominal aorta, the process of obtaining a CT may be time-consuming, requires the use of intravenous contrast dye, and involves exposure to ionizing radiation. Point-of-care Ultrasound (POCUS) can be performed at the bedside and has excellent sensitivity and specificity for the diagnosis of abdominal aortic aneurysm and excellent specificity for the diagnosis of abdominal aortic dissection. Additionally, POCUS is non-invasive, cost-effective, lacks ionizing radiation, requires no intravenous contrast dye, and can be performed without taking the patient from a critical care area. Screening for abdominal aortic aneurysm (AAA) can be done in primary care settings as well. This article will review the approach to POCUS of the abdominal aorta to evaluate such critical pathology. In this paper, we will review the sonographic anatomy of the abdominal aorta as well as the choice of the ultrasound probe, description of POCUS image acquisition, and some pearls and pitfalls of using POCUS to aid in the diagnosis of potentially life-threatening abdominal aortic pathology.

Identifiants

pubmed: 37747215
doi: 10.3791/65487
doi:

Substances chimiques

Contrast Media 0

Types de publication

Journal Article Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Molly Hartrich (M)

Department of Emergency Medicine, University of Illinois College of Medicine, University of Illinois Hospital; mhartr2@uic.edu.

Wesley Eilbert (W)

Department of Emergency Medicine, University of Illinois College of Medicine, University of Illinois Hospital.

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Classifications MeSH