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.
Study Type
OBSERVATIONAL
Enrollment
80
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.
Prediction of Surgical Requirement Based on Tracheal Diameter on Initial CT
Evaluation of whether smaller tracheal diameter on initial CT is associated with need for surgery. Unit of Measure: millimeters
Time frame: From initial diagnosis to surgical decision (up to 12 months)
Prediction of Surgical Requirement Based on Tracheal Wall Thickness on Initial CT
Evaluation of whether increased tracheal wall thickness on initial CT predicts surgical need. Unit of Measure: millimeters
Time frame: From initial diagnosis to surgical decision (up to 12 months)
Prediction of Surgical Requirement Based on HU Values of the Stenotic Segment on CT
Evaluation of whether high HU values in the stenotic segment predict surgical need. Unit of Measure: Hounsfield Units (HU)
Time frame: From initial diagnosis to surgical decision (up to 12 months)
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