Evaluation of the Effectiveness of Predicting the Integrity of Interlobar Fissures Based on Chest Image AI Technology
1 other identifier
observational
40
0 countries
N/A
Brief Summary
The goal of observational study is to evaluate effectiveness of predicting the integrity of interlobar fissures based on chest image AI technology in patients with Chronic Obstructive Pulmonary Disease who will undergo lung volume reduction surgery with endobronchial valve implantation. The main question it aims to answer is: evaluation of the effectiveness of predicting the integrity of interlobar fissures based on chest image AI technology. Participants will be evaluated by lung CT (quantitative analysis based on chest image AI technology and artificial analysis) and imported Chartis detection system.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Mar 2023
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 6, 2023
CompletedFirst Posted
Study publicly available on registry
March 20, 2023
CompletedStudy Start
First participant enrolled
March 26, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedMarch 21, 2023
March 1, 2023
1.8 years
March 6, 2023
March 17, 2023
Conditions
Outcome Measures
Primary Outcomes (4)
Therapeutic effect of lung volume reduction surgery
Lung CT
1 month after bronchoscopic valve lung volume reduction
Therapeutic effect of lung volume reduction surgery
Lung CT
3 months after bronchoscopic valve lung volume reduction
Therapeutic effect of lung volume reduction surgery
Lung CT
6 months after bronchoscopic valve lung volume reduction
the integrity of interlobar fissure
Emphysema quantitative analysis softwarebased on chest image AI technology, artificial analysis and imported Chartis detection system
Before bronchoscopic valve lung volume reduction
Study Arms (3)
Emphysema quantitative analysis softwarebased on chest image AI technology
artificial analysis
imported Chartis detection system
Interventions
The participants would undergo lung CT, and the integrity of interlobar fissure will be quantitatively analyses by software based on chest image AI technology.
The participants would undergo lung CT, and the integrity of interlobar fissure will be artificially analyses.
The participants would undergo imported Chartis detection system.
Eligibility Criteria
chronic obstructive pulmonary diseases
You may qualify if:
- Patients with chronic obstructive pulmonary disease who meet the GOLD diagnostic criteria
- FEV1 ≤ 45% pred and FEV1/FVC\<70%
- TLC\>100% pred and RV\>175% pred
- CAT≥18
- \>50% of emphysema destruction
- Smoking prohibition\>6 months
- Sign the informed consent form
You may not qualify if:
- PaCO2\>8.0 kPa, or PaO2\<6.0 kPa
- minute walking test\<160m
- Obvious chronic bronchitis, bronchiectasis or other infectious lung diseases
- Three hospitalizations due to pulmonary infection in the past 12 months before the baseline assessment
- Previous lobectomy, LVRS or lung transplantation
- LVEF\<45% and or RVSP\>50mmHg
- Anticoagulant therapy that cannot be stopped before surgery
- The patient has obvious immune deficiency
- Participated in other lung drug studies within 30 days before this study
- Pulmonary nodules requiring intervention
- Any disease or condition that interferes with the completion of the initial or subsequent assessment
Contact the study team to confirm eligibility.
Sponsors & Collaborators
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
March 6, 2023
First Posted
March 20, 2023
Study Start
March 26, 2023
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
March 21, 2023
Record last verified: 2023-03