Artificial Intelligence in Computed Tomography for Quantifying Lung Changes of Bronchiectasis Patients

Not yet recruiting

• Conditions: Bronchiectasis
• Interventions: Other: No intervention

• Registration Number: NCT05751538
• Lead Sponsor: Ruijin Hospital

Brief Summary

Bronchiectasis is a chronic respiratory disease characterized by permanent bronchiectasis.The incidence and prevalence of bronchiectasis have assumed continuously grows in global. Chest computed tomography (CT) remains the imaging standard for demonstrating cystic fibrosis (CF) airway structural disease in vivo. However, visual scoring systems as an outcome measure are time consuming, require training and lack high reproducibility. Our objective was to validate a fully automated artificial intelligence (AI)-driven scoring system of CF lung disease severity.

Detailed Description

Not available

Study Timeline

• Status Verified: 2022-11
• Study First Submitted: 2023-02-08
• Study First Submitted QC: 2023-02-20
• Last Update Submitted: 2023-02-20
• Study Start: 2023-03-01
• Study First Posted: 2023-03-02
• Last Update Posted: 2023-03-02
• Primary Completion: 2023-06-30
• Study Completion: 2023-12-30

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 730

Inclusion Criteria

• Patients diagnosed with bronchiectasis (according to the Chinese consensus, patient's previous chest CT examination must show bronchiectasis)

Exclusion Criteria

• Patients with CT data and medical records missing

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Train dataset	No intervention	This group is dedicated to developing an automated algorithm.
Test dataset	No intervention	This group is dedicated to testing the performance of an automated algorithm.
Clinical Validation	No intervention	This group is dedicated to assessing the clinical validity of the measurement in an independent validation cohort.

Primary Outcome Measures

Name	Time	Method
Correlations of the artificial intelligence-driven scores with manual scores	From date of inclusion until the date of final quantification, assessed up to 12 months	Correlations and comparisons of the artificial intelligence-driven scores with manual scores by thoracic radiologists on CT scans of bronchiectasis patients.

Secondary Outcome Measures

Name	Time	Method
Correlation of the artificial intelligence-driven scores with pulmonary function test	From date of inclusion until the date of final quantification, assessed up to 12 months	Correlation of quantitative measurement with pulmonary function

Trial Locations

Locations (1)

Ruijin Hospital, Medical School of Shanghai Jiaotong University; 🇨🇳 Shanghai, Shanghai, China