Voice Quality Analysis of Patients With Laryngotracheal Stenosis
Starting soon
Conditions studied: Idiopathic Subglottic Tracheal Stenosis
In brief
The investigators previously demonstrated that voice changes are common in patients with Laryngotracheal Stenosis (LTS), and patients typically report an improvement in voice outcomes following endoscopic dilation. Recently, NIH based programs such as a Bridge to Artificial Intelligence (Bridge2AI) have highlighted the use of artificial intelligence to identify acoustic biomarkers of disease. Therefore, the investigators hypothesize that progression of LTS scar can be quantified using acoustic measurements and machine learning. The goal of this clinical trial is to remotely monitor patient voice quality in an effort to determine if regularly performed voice recordings can be used as a diagnostic tool in order to predict the need for dilation procedures. The investigators feel that successful use of remote voice recording technology with algorithmic analysis will improve patient quality of life.
Key facts
- Study ID
- NCT06161077
- Run by
- Johns Hopkins University
- People needed
- 100
- Starts
- 2027-01-01
- Expected to finish
- 2030-12-01
- Last updated by the study team
- 2026-07-13
Who can join
Age: 18 and older, up to 80. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Current diagnosis of laryngotracheal stenosis
- Patient age 18 - 80 years old
- Eastern Cooperative Oncology Group (ECOG) performance status of 0 - 1
- The patient must be able to comprehend and have signed the informed consent.
- The patient must have documentation of their date of laryngotracheal stenosis diagnosis and prior medical/surgical history.
You may not qualify if…
- Inability to use the app associated with the study.
- Comorbid laryngeal or glottic disease
- Concurrent neurological disease which may impact voice use (such as tremor, parkinsonism, laryngeal dystonia)
Where it is running
- Johns Hopkins Outpatient Center — Baltimore, Maryland, United States
Full record on ClinicalTrials.gov
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