Bolus Detection in the Proximal Esophagus Using Pulse-Echo Ultrasound: A Feasibility Study.

A-mode LPR esophageal bolus feasibility study laryngopharyngeal reflux noninvasive swallow study ultrasound

Journal

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
ISSN: 1097-6817
Titre abrégé: Otolaryngol Head Neck Surg
Pays: England
ID NLM: 8508176

Informations de publication

Date de publication:
09 2020
Historique:
pubmed: 6 5 2020
medline: 19 12 2020
entrez: 6 5 2020
Statut: ppublish

Résumé

Here, the feasibility of using nonimaging pulse-echo ultrasound as a method of noninvasively detecting a bolus in the proximal esophagus was demonstrated. To accomplish this, patient swallows were recorded on a clinical ultrasound device with research interface that allowed for collection of the pulse-echo data. These ultrasound data of the proximal esophagus were processed with a series of signal processing techniques in both the temporal and spectral domains, which revealed characteristic signatures that were unique for both liquid and food boluses compared to the normal collapsed esophageal state. Since substantial amounts of laryngopharyngeal reflux are gaseous in nature, future work will revolve around expanding the data set to include boluses of gaseous refluxate, a standardized methodology for capturing bolus events; developing automated detection tools for identifying laryngopharyngeal reflux for an extended duration; and assessing technology limitations due to user error.

Identifiants

pubmed: 32366167
doi: 10.1177/0194599820920835
doi:

Types de publication

Clinical Trial Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

569-571

Auteurs

Andrew Wilcox (A)

RefloDx, LLC, Clearfield, Utah, USA.

Daniel Jackson (D)

University of Utah, Primary Children's Hospital, Salt Lake City, Utah, USA.

Joshua Jones (J)

RefloDx, LLC, Clearfield, Utah, USA.

Samuel Thomas (S)

Stanford University, Intermountain Health Care, Stanford, California, USA.

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Classifications MeSH