Bronchiectasis
Conditions
Keywords
Bronchiectasis, Machine Learning, Artificial Intelligence
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.
Interventions
OTHERNo intervention
No intervention
Sponsors
Ruijin Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
China
Contacts
Primary ContactJieming Qu
Outcome results
None listed