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

NCT ID: NCT07086729

Last Updated: 2025-07-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

80 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-09-01

Study Completion Date

2026-01-30

Brief Summary

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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.

Detailed Description

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Conditions

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Tracheal Stenosis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

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Tracheal Stenosis Patients

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.

CT-Based Morphologic and Attenuation Scoring

Intervention Type OTHER

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.

Interventions

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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.

Intervention Type OTHER

Eligibility Criteria

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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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ondokuz Mayıs University

OTHER

Sponsor Role lead

Responsible Party

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Caner İşevi, MD

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Caner İşevi, MD

Role: CONTACT

+903623121919 ext. 4240

Other Identifiers

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B.30.2.ODM.0.20.08/ 457

Identifier Type: -

Identifier Source: org_study_id

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