The Aspirometer: A Noninvasive Tool for Detecting Aspiration Aim 3
NCT ID: NCT06637774
Last Updated: 2025-02-19
Study Results
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View full resultsBasic Information
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COMPLETED
NA
50 participants
INTERVENTIONAL
2022-09-30
2023-05-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
NONE
Study Groups
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Videofluoroscopic Swallow Study + Aspirometer
Consecutively referred patients for modified barium swallow due to suspicion of dysphagia with aspiration, undergo the modified barium swallow test with Aspirometer sensors taped to the anterior neck. Signals are time-linked to images.
Aspirometer
a triaxial accelerometer and a contact microphone affixed with tape to patient neck, a data accrual infrastructure, algorithms that decode swallow physiology noninvasively
Videofluoroscopic X-ray
MBS is a fluoroscopic diagnostic test to evaluate swallowing physiology. Its images are judged by humans trained to do so.
Interventions
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Aspirometer
a triaxial accelerometer and a contact microphone affixed with tape to patient neck, a data accrual infrastructure, algorithms that decode swallow physiology noninvasively
Videofluoroscopic X-ray
MBS is a fluoroscopic diagnostic test to evaluate swallowing physiology. Its images are judged by humans trained to do so.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* pregnant
* unable to follow verbal commands
* anatomic disruption of head neck
* radiation therapy to head or neck
18 Years
100 Years
ALL
No
Sponsors
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University of Toronto
OTHER
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
NIH
University of Pittsburgh
OTHER
Responsible Party
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James Coyle
Professor
Principal Investigators
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James Coyle
Role: PRINCIPAL_INVESTIGATOR
University of Pittsburgh
Locations
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University of Pittsburgh Medical Center Oakland campus
Pittsburgh, Pennsylvania, United States
Countries
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References
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Khalifa Y, Mahoney AS, Lucatorto E, Coyle JL, Sejdic E. Non-Invasive Sensor-Based Estimation of Anterior-Posterior Upper Esophageal Sphincter Opening Maximal Distension. IEEE J Transl Eng Health Med. 2023 Feb 20;11:182-190. doi: 10.1109/JTEHM.2023.3246919. eCollection 2023.
Mahoney AS, Khalifa Y, Lucatorto E, Sejdic E, Coyle JL. Cervical Vertebral Height Approximates Hyoid Displacement in Videofluoroscopic Images of Healthy Adults. Dysphagia. 2022 Dec;37(6):1689-1696. doi: 10.1007/s00455-022-10414-8. Epub 2022 Mar 1.
Schwartz R, Khalifa Y, Lucatorto E, Perera S, Coyle J, Sejdic E. A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows. IEEE J Transl Eng Health Med. 2021 Dec 10;10:4900109. doi: 10.1109/JTEHM.2021.3134926. eCollection 2022.
Shu K, Coyle JL, Perera S, Khalifa Y, Sabry A, Sejdic E. Anterior-posterior distension of maximal upper esophageal sphincter opening is correlated with high-resolution cervical auscultation signal features. Physiol Meas. 2021 Apr 6;42(3). doi: 10.1088/1361-6579/abe7cb.
Donohue C, Khalifa Y, Perera S, Sejdic E, Coyle JL. A Preliminary Investigation of Whether HRCA Signals Can Differentiate Between Swallows from Healthy People and Swallows from People with Neurodegenerative Diseases. Dysphagia. 2021 Aug;36(4):635-643. doi: 10.1007/s00455-020-10177-0. Epub 2020 Sep 5.
Sejdic E, Malandraki GA, Coyle JL. Computational deglutition: Signal and image processing methods to understand swallowing and associated disorders. IEEE Signal Process Mag. 2019 Jan;36(1):138-146. doi: 10.1109/MSP.2018.2875863. Epub 2018 Dec 25. No abstract available.
Khalifa Y, Donohue C, Coyle JL, Sejdic E. Autonomous Swallow Segment Extraction Using Deep Learning in Neck-Sensor Vibratory Signals From Patients With Dysphagia. IEEE J Biomed Health Inform. 2023 Feb;27(2):956-967. doi: 10.1109/JBHI.2022.3224323. Epub 2023 Feb 3.
Donohue C, Khalifa Y, Mao S, Perera S, Sejdic E, Coyle JL. Characterizing Swallows From People With Neurodegenerative Diseases Using High-Resolution Cervical Auscultation Signals and Temporal and Spatial Swallow Kinematic Measurements. J Speech Lang Hear Res. 2021 Sep 14;64(9):3416-3431. doi: 10.1044/2021_JSLHR-21-00134. Epub 2021 Aug 24.
Donohue C, Khalifa Y, Mao S, Perera S, Sejdic E, Coyle JL. Establishing Reference Values for Temporal Kinematic Swallow Events Across the Lifespan in Healthy Community Dwelling Adults Using High-Resolution Cervical Auscultation. Dysphagia. 2022 Jun;37(3):664-675. doi: 10.1007/s00455-021-10317-0. Epub 2021 May 20.
Sabry A, Mahoney AS, Mao S, Khalifa Y, Sejdic E, Coyle JL. Automatic Estimation of Laryngeal Vestibule Closure Duration Using High- Resolution Cervical Auscultation Signals. Perspect ASHA Spec Interest Groups. 2020 Dec;5(6):1647-1656. doi: 10.1044/2020_persp-20-00073. Epub 2020 Dec 14.
Mao S, Sabry A, Khalifa Y, Coyle JL, Sejdic E. Estimation of laryngeal closure duration during swallowing without invasive X-rays. Future Gener Comput Syst. 2021 Feb;115:610-618. doi: 10.1016/j.future.2020.09.040. Epub 2020 Sep 30.
Coyle JL, Sejdic E. High-Resolution Cervical Auscultation and Data Science: New Tools to Address an Old Problem. Am J Speech Lang Pathol. 2020 Jul 10;29(2S):992-1000. doi: 10.1044/2020_AJSLP-19-00155. Epub 2020 Jul 10.
Khalifa Y, Coyle JL, Sejdic E. Non-invasive identification of swallows via deep learning in high resolution cervical auscultation recordings. Sci Rep. 2020 May 26;10(1):8704. doi: 10.1038/s41598-020-65492-1.
Donohue C, Mao S, Sejdic E, Coyle JL. Tracking Hyoid Bone Displacement During Swallowing Without Videofluoroscopy Using Machine Learning of Vibratory Signals. Dysphagia. 2021 Apr;36(2):259-269. doi: 10.1007/s00455-020-10124-z. Epub 2020 May 17.
Zhang Z, Perera S, Donohue C, Kurosu A, Mahoney AS, Coyle JL, Sejdic E. The Prediction of Risk of Penetration-Aspiration Via Hyoid Bone Displacement Features. Dysphagia. 2020 Feb;35(1):66-72. doi: 10.1007/s00455-019-10000-5. Epub 2019 Mar 27.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Document Type: Informed Consent Form
Other Identifiers
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STUDY22040175 (Aim 3)
Identifier Type: -
Identifier Source: org_study_id
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