Status:
NOT_YET_RECRUITING
Multimodal Analysis of Structural Voice Disorders Based on Speech and Stroboscopic Laryngoscope Video
Lead Sponsor:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Collaborating Sponsors:
Duke Kunshan University
Conditions:
Voice Disorders
Eligibility:
All Genders
20-80 years
Brief Summary
This study intends to collect clinical data such as strobary laryngoscope images and vowel audio data of patients with structural voice disorders and healthy individuals, and to establish a multimodal...
Detailed Description
1. Detection and Classification of Acoustic Lesions Based on Speech Deep Learning 2. Detection and Classification of Acoustic Lesions Based on Deep Learning of Images 3. Detection and Classification o...
Eligibility Criteria
Inclusion
- Laryngeal cancer, laryngeal precancerous lesions, benign laryngeal lesions with voice disorders, healthy people without throat diseases
Exclusion
- A history of laryngeal surgery
- Patients with voice disorders caused by various causes except laryngeal cancer, laryngeal precancerous lesions, and benign laryngeal lesions
- The audio quality is not clear, the stroboscopic laryngoscope does not clearly display the anatomical area related to the glottis, and it is underexposed and blocked;
Key Trial Info
Start Date :
May 6 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
February 20 2027
Estimated Enrollment :
1 Patients enrolled
Trial Details
Trial ID
NCT05348031
Start Date
May 6 2022
End Date
February 20 2027
Last Update
April 27 2022
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