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

NCT ID: NCT05751538

Last Updated: 2023-03-02

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

UNKNOWN

Total Enrollment

730 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-01

Study Completion Date

2023-12-30

Brief Summary

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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

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Conditions

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Bronchiectasis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Train dataset

This group is dedicated to developing an automated algorithm.

No intervention

Intervention Type OTHER

No intervention

Test dataset

This group is dedicated to testing the performance of an automated algorithm.

No intervention

Intervention Type OTHER

No intervention

Clinical Validation

This group is dedicated to assessing the clinical validity of the measurement in an independent validation cohort.

No intervention

Intervention Type OTHER

No intervention

Interventions

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No intervention

No intervention

Intervention Type OTHER

Eligibility Criteria

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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
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ruijin Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Ruijin Hospital, Medical School of Shanghai Jiaotong University

Shanghai, Shanghai Municipality, China

Site Status

Countries

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China

Central Contacts

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Jieming Qu

Role: CONTACT

86-021-64370045

Other Identifiers

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AI-BE

Identifier Type: -

Identifier Source: org_study_id

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