Voice Quality Analysis of Patients With Laryngotracheal Stenosis

Part of paid clinical trials in Baltimore, Maryland.

Sponsor
Johns Hopkins University
Study ID
NCT06161077
Status
Not Yet Recruiting

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Conditions

  • Idiopathic Subglottic Tracheal Stenosis

Eligibility Criteria

Sex
ALL
Age
18 Years - 80 Years
Healthy Volunteers
Not accepted

Interventions

  • Voice Biomarker Screening Too — DIAGNOSTIC_TEST
    The investigators will develop a screening tool using voice that can predict disease severity in idiopathic subglottic stenosis

Study Details

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 Dates

Start date
Jul 1, 2026
Status verified
Aug 2025
Primary completion
Jul 1, 2028
Completion
Dec 1, 2028

Study Design

Enrollment
100 participants (estimated)

Primary Outcome Measure

Voice Quality in patients with idiopathic subglottic stenosis [ Time Frame: Baseline, 14 days, monthly for 2 years ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
Johns Hopkins Outpatient CenterBaltimoreMaryland21287
Samuel L Collins, Ph.D.
410-702-0420
Alexander Hillel, MD (PRINCIPAL_INVESTIGATOR)

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