NCT07086729

CT-Based Scoring System to Predict Surgical Need in Tracheal Stenosis (TSMAS Study)

Development of a CT-Derived Risk Score to Guide Treatment Decision: Tracheal Stenosis Morphology and Attenuation Score (TSMAS)

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 80 (estimated)
• Sponsor: Ondokuz Mayıs University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

This study aims to develop a CT-based scoring system to help predict whether patients with tracheal stenosis will require surgical treatment or can be managed with endoscopic procedures. Using retrospective data, researchers will evaluate CT scans of patients diagnosed with tracheal stenosis to measure features such as airway diameter, wall thickness, and tissue density (measured in Hounsfield Units). The goal is to create a non-invasive, reproducible, and objective tool-called the Tracheal Stenosis Morphology and Attenuation Score (TSMAS)-that can support clinical decision-making and improve treatment planning.

Conditions

• Tracheal Stenosis

Interventions

Type	Name	Description
OTHER	CT-Based Morphologic and Attenuation Scoring	Retrospective analysis of CT images to extract morphological and Hounsfield Unit (HU) parameters for development of a predictive scoring model (TSMAS). No clinical or therapeutic intervention was performed.

Timeline

• Start date: 2025-09-01
• Primary completion: 2025-12-01
• Completion: 2026-01-30
• First posted: 2025-07-25
• Last updated: 2025-07-25