Voice Quality Analysis of Patients With Laryngotracheal Stenosis

N/ANot Yet RecruitingNCT06161077

Johns Hopkins University100 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

100

Conditions

Idiopathic Subglottic Tracheal Stenosis

Interventions

Voice Biomarker Screening TooDIAGNOSTIC_TEST

The investigators will develop a screening tool using voice that can predict disease severity in idiopathic subglottic stenosis

Eligibility

Sex: ALLMin age: 18 YearsMax age: 80 Years

Medical Language ↔ Plain English

Inclusion Criteria: * 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. Exclusion Criteria: * 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)

Outcomes

Primary Outcomes

Voice Quality in patients with idiopathic subglottic stenosis

To remotely assess voice quality of patients with idiopathic subglottic stenosis with VoiceLab automated voice analysis software both before and at regular intervals following dilation procedures