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NCT06161077

Voice Quality Analysis of Patients With Laryngotracheal Stenosis

Not yet recruiting Last updated 6 August 2025
What this trial tests

trial testing Voice Biomarker Screening Too in Idiopathic Subglottic Tracheal Stenosis in 100 participants. Not yet recruiting.

Timeline
1 July 2026
Primary endpoint
1 July 2028
1 December 2028

Quick facts

Lead sponsorJohns Hopkins University
StatusNot yet recruiting
Study typeOBSERVATIONAL
Enrollment100
Start date1 July 2026
Primary completion1 July 2028
Estimated completion1 December 2028
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Johns Hopkins University

Who can join

Adults 18 to 80, any sex, with Idiopathic Subglottic Tracheal Stenosis. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Trials by the same sponsor.

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