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CT-Based Scoring System to Predict Surgical Need in Tracheal Stenosis (TSMAS Study)
Sponsor: Ondokuz Mayıs University
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.
Official title: Development of a CT-Derived Risk Score to Guide Treatment Decision: Tracheal Stenosis Morphology and Attenuation Score (TSMAS)
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
80
Start Date
2025-09-01
Completion Date
2026-01-30
Last Updated
2025-07-25
Healthy Volunteers
No
Conditions
Interventions
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.