- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05149976
Establishment of Voice Analysis Cohort for Development of Monitoring Technology for Dysphagia
April 18, 2024 updated by: Ju Seok Ryu, Seoul National University Hospital
Collection of basic data to develop a technique for monitoring the state of dysphagia using voice analysis.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
- Design: Prospective study
Inclusion criteria of the patient group
- Patients scheduled for VFSS examination and normal person (without dysphagia) capable of recording voice (selected as a control group for comparison of voice indicators with patients with dysphagia)
- Patients who can record voices such as "Ah for 5 seconds", "Ah. Ah. Ah.", "umm~~~"
- Inclusion criteria of the control group: Patients unable to speak, Patients who cannot follow along, If the VFSS test is a retest
- Setting: Hospital rehabilitation department
- Intervention: After obtaining the consent form for the patient scheduled for the VFSS test, "Ah for 5 seconds", after clearing the throat, "Ah for 5 seconds", briefly cut with a high-pitched sound, "Ah. Ah. Ah", close your lips lightly and make a "ummm~~~~" sound, and record 2 times each.
Study Type
Observational
Enrollment (Estimated)
300
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Juseok Ryu, M.D. PhD
- Phone Number: +82-31-787-7739
- Email: jseok337@snu.ac.kr
Study Contact Backup
- Name: sunyoung Choi, M.D
- Phone Number: +82-5374-6130
- Email: 0_1235@naver.com
Study Locations
-
-
Gyeonggi-do
-
Seongnam-si, Gyeonggi-do, Korea, Republic of, 463-707
- Recruiting
- Department of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine
-
Contact:
- Sunyoung Choi, CRA
- Phone Number: +82-5374-6130
- Email: 0_1235@naver.com
-
Contact:
- Juseok Ryu, M.D, PhD
- Phone Number: +82-31-787-7739
- Email: jseok337@snu.ac.kr
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Sampling Method
Non-Probability Sample
Study Population
Normal Group
- Among those scheduled for VFSS due to symptoms of dysphagia, patients whose reading result was judged normal
- General subjects without signs or symptoms of dysphagia
Residue Group
1) Among those scheduled for VFSS examination due to symptoms of dysphagia, patients who had residues left in the pharynx or airway as a result of reading
Aspiration
1) Among those scheduled for VFSS examination due to symptoms of dysphagia, aspiration occurred in the airway as a result of reading
- No limiting criteria for age and underlying disease were established in all groups.
Description
Inclusion Criteria:
- Patients with dysphagia and scheduled for VFSS testing
- Patients who can record voice such as "Ah for 5 seconds", "Ah. ah. ah", or "Um~~"
- Normal people (without dysphagia symptoms) who can record voice (additionally recruited for comparison of voice indicators with patients with dysphagia)
Exclusion Criteria:
- Patients who cannot speak.
- Patients who cannot speak according to the researcher's instructions.
- Patients whose VFSS test was reexamined
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Normal group
|
|
|
Residue Group
- As a result of VFSS (video fluoroscopic swallowing study), the subjects who have residues left around the pharynx or airway
|
|
|
Aspiration Group
- VFSS (video fluoroscopic swallowing study) test result, the subjects who have aspiration in the airway
|
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of machine learning prediction model using voice change before and after dietary intake
Time Frame: day 1
|
Accuracy measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice changes before and after dietary intake.
|
day 1
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
mAP (mean Average Precision) of machine learning prediction model using voice change before and after dietary intake
Time Frame: day 1
|
mAP measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice changes before and after dietary intake.
|
day 1
|
|
Recall of machine learning prediction model using voice change before and after dietary intake.
Time Frame: day 1
|
Recall measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice changes before and after dietary intake.
|
day 1
|
|
AUC (Area Under the ROC curve) of machine learning prediction model using voice change before and after dietary intake.
Time Frame: day 1
|
AUC measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice changes before and after dietary intake.
|
day 1
|
|
Accuracy of machine learning prediction model using only voice after dietary intake.
Time Frame: day 1
|
Accuracy measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice only voice after dietary intake.
|
day 1
|
|
mAP (mean Average Precision) of machine learning prediction model using only voice after dietary intake.
Time Frame: day 1
|
mAP measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice only voice after dietary intake.
|
day 1
|
|
Recall of machine learning prediction model using only voice after dietary intake.
Time Frame: day 1
|
Recall measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice only voice after dietary intake.
|
day 1
|
|
AUC (Area Under the ROC curve) of machine learning prediction model using only voice after dietary intake.
Time Frame: day 1
|
AUC measures how well machine learning predicts three groups ('Normal', 'Residue', 'Aspiration') according to voice only voice after dietary intake.
|
day 1
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Director: Juseok Ryu, M.D. PhD, Seoul National University Bundang Hospital
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 7, 2021
Primary Completion (Estimated)
December 1, 2024
Study Completion (Estimated)
December 1, 2024
Study Registration Dates
First Submitted
November 1, 2021
First Submitted That Met QC Criteria
November 25, 2021
First Posted (Actual)
December 8, 2021
Study Record Updates
Last Update Posted (Actual)
April 19, 2024
Last Update Submitted That Met QC Criteria
April 18, 2024
Last Verified
April 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- B-2109-707-303
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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