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

Ondokuz Mayıs University

Status: Not yet enrolling

Conditions: Tracheal Stenosis

Treatments: Other: CT-Based Morphologic and Attenuation Scoring

Study type: Observational

Funder types: Other

Identifiers

NCT07086729

B.30.2.ODM.0.20.08/ 457

Details and patient eligibility

About

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.

Enrollment: 80 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age ≥ 18 years
• Diagnosed with tracheal stenosis
• Underwent thoracic CT imaging at the time of diagnosis
• CT scans available in adequate quality and in DICOM format
• No prior surgical treatment for tracheal stenosis before CT imaging

Exclusion criteria

• Tracheal stenosis due to malignancy, foreign body, or tracheobronchial tumors
• History of tracheal surgery before CT imaging
• Poor quality CT images (e.g., motion artifacts, incomplete tracheal segments)
• Patients with a history of radiotherapy (RT) to the neck or mediastinum

Trial design

80 participants in 1 patient group

Tracheal Stenosis Patients

Description:

Patients diagnosed with tracheal stenosis whose thoracic CT scans were retrospectively analyzed to evaluate morphological and densitometric parameters. No intervention was applied; data were used to develop a CT-based risk score (TSMAS) to predict the need for surgical treatment.

Treatment:

Other: CT-Based Morphologic and Attenuation Scoring