Evaluation of the Effectiveness of Predicting the Integrity of Interlobar Fissures Based on Chest Image AI Technology
- Conditions
- Chronic Obstructive Pulmonary Disease
- Interventions
- Other: artificial analysis of chest imageProcedure: imported Chartis detection systemOther: Emphysema quantitative analysis software based on chest image AI technology
- Registration Number
- NCT05774730
- Lead Sponsor
- China-Japan Friendship Hospital
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 40
- 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
- PaCO2>8.0 kPa, or PaO2<6.0 kPa
- 6-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
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description artificial analysis artificial analysis of chest image - imported Chartis detection system imported Chartis detection system - Emphysema quantitative analysis softwarebased on chest image AI technology Emphysema quantitative analysis software based on chest image AI technology -
- Primary Outcome Measures
Name Time Method Therapeutic effect of lung volume reduction surgery 6 months after bronchoscopic valve lung volume reduction Lung CT
the integrity of interlobar fissure Before bronchoscopic valve lung volume reduction Emphysema quantitative analysis softwarebased on chest image AI technology, artificial analysis and imported Chartis detection system
- Secondary Outcome Measures
Name Time Method