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Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
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Reliability of an automated high-resolution manometry analysis program across expert users, novice users, and
Summary
Novice users achieved high reliability in analyzing high-resolution manometry (HRM) data after brief training, matching expert performance. This suggests the automated HRM analysis program is suitable for both research and clinical use.
Area of Science:
- Gastroenterology and Hepatology
- Medical Imaging and Diagnostics
- Speech and Hearing Sciences
Background:
- High-resolution manometry (HRM) is crucial for assessing swallowing disorders.
- Interpreting HRM data traditionally requires specialized expertise.
- Automated analysis tools aim to standardize and simplify HRM data interpretation.
Purpose of the Study:
- To evaluate the reliability of a semiautomated HRM analysis program.
- To compare inter- and intrarater reliability across expert users, novice users, and speech-language pathologists.
- To test the hypothesis that all user groups would exhibit high reliability.
Main Methods:
- A semiautomated HRM analysis program was used.
- Participants included 3 expert users, 15 novice users, and 5 speech-language pathologists.
- Users analyzed 30 HRM plots after a 20-minute training session, with reliability assessed via intraclass correlations.
Main Results:
- High within-group interrater reliability (0.54–0.99) and intergroup reliability (0.92–0.99) were observed.
- Intrarater reliability ranged from 0.67 to 1.00 across all user groups.
- No significant differences in output parameters were found among the user groups.
Conclusions:
- A short training session enables individuals with limited prior knowledge to achieve high reliability in HRM analysis.
- The semiautomated program demonstrates potential for both research and clinical applications due to its ease of use and training.
- This technology can broaden the accessibility of HRM data analysis.
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