Evidence map›Paper›PMID 36873304›Full record

ArticleIEEE journal of translational engineering in health and medicine2023

Non-Invasive Sensor-Based Estimation of Anterior-Posterior Upper Esophageal Sphincter Opening Maximal Distension.

Yassin Khalifa, Amanda S Mahoney, Erin Lucatorto, James L Coyle, Ervin Sejdic

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06637774 (The Aspirometer), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06637774 nacompletednot on this map

The Aspirometer: A Noninvasive Tool for Detecting Aspiration

TypeinterventionalSponsorUniversity of PittsburghRan2022 to 2023Enrolled50ConditionsDeglutition DisordersArmsAspirometer, Videofluoroscopic X-ray
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 3 countries.

Yassin KhalifaDepartment of Biomedical EngineeringCairo University Giza 12613 Egypt.ORCID 0000-0001-8017-5959
Amanda S MahoneyDepartment of Communication Science and DisordersUniversity of Pittsburgh Pittsburgh PA 15260 USA.ORCID 0000-0002-5928-5544
Erin LucatortoDepartment of Communication Science and DisordersUniversity of Pittsburgh Pittsburgh PA 15260 USA.ORCID 0000-0001-8113-8359
James L CoyleDepartment of Communication Science and DisordersUniversity of Pittsburgh Pittsburgh PA 15260 USA.ORCID 0000-0002-5627-5623
Ervin SejdicThe Edward S. Rogers Sr. Department of Electrical and Computer EngineeringFaculty of Applied Science and EngineeringUniversity of Toronto Toronto ON M5S 1A1 Canada.ORCID 0000-0003-4987-8298
University of Pittsburgh · USCairo University · EGUniversity of Toronto · CA

Funding

The Aspirometer: A noninvasive tool to detect swallowing safety and efficiencyR01HD074819 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COYLE, JAMES L, SEJDIC, ERVIN · 2013 to 2022
$3.0M
Instrumental screening for dysphagia by combining high-resolution cervical auscultation with advanced data analysis tools to identify silent dysphagia and silent aspirationR01HD092239 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COYLE, JAMES L · 2017 to 2020
$1.2M
NICHD NIH HHS R01 HD074819NICHD NIH HHS R01 HD092239
6 · The paper itself

Abstract

objectiveDysphagia management relies on the evaluation of the temporospatial kinematic events of swallowing performed in videofluoroscopy (VF) by trained clinicians. The upper esophageal sphincter (UES) opening distension represents one of the important kinematic events that contribute to healthy swallowing. Insufficient distension of UES opening can lead to an accumulation of pharyngeal residue and subsequent aspiration which in turn can lead to adverse outcomes such as pneumonia. VF is usually used for the temporal and spatial evaluation of the UES opening; however, VF is not available in all clinical settings and may be inappropriate or undesirable for some patients. High resolution cervical auscultation (HRCA) is a noninvasive technology that uses neck-attached sensors and machine learning to characterize swallowing physiology by analyzing the swallow-induced vibrations/sounds in the anterior neck region. We investigated the ability of HRCA to noninvasively estimate the maximal distension of anterior-posterior (A-P) UES opening as accurately as the measurements performed by human judges from VF images. METHODS AND PROCEDURES: Trained judges performed the kinematic measurement of UES opening duration and A-P UES opening maximal distension on 434 swallows collected from 133 patients. We used a hybrid convolutional recurrent neural network supported by attention mechanisms which takes HRCA raw signals as input and estimates the value of the A-P UES opening maximal distension as output.

resultsThe proposed network estimated the A-P UES opening maximal distension with an absolute percentage error of 30% or less for more than 64.14% of the swallows in the dataset.

conclusionThis study provides substantial evidence for the feasibility of using HRCA to estimate one of the key spatial kinematic measurements used for dysphagia characterization and management. Clinical and Translational Impact Statement: The findings in this study have a direct impact on dysphagia diagnosis and management through providing a non-invasive and cheap way to estimate one of the most important swallowing kinematics, the UES opening distension, that contributes to safe swallowing. This study, along with other studies that utilize HRCA for swallowing kinematic analysis, paves the way for developing a widely available and easy-to-use tool for dysphagia diagnosis and management.

Indexed as

Deglutition DisordersAuscultationCineradiographyDeglutitionEsophageal Sphincter, UpperHumansaccelerometryaspirationattention mechanismscervical auscultationdeep learningdysphagiaGRUrecurrent neural networkssignal analysissupervised learningSwallowingupper esophageal sphinctervibrations

Identifiers

PMID36873304
PMCPMC9976940
OpenAlexW4321380704

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.