Evaluation of the Effectiveness of Predicting the Integrity of Interlobar Fissures Based on Chest Image AI Technology
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 40
- 主要终点
- Therapeutic effect of lung volume reduction surgery
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 90 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
- •>50% of emphysema destruction
- •Smoking prohibition>6 months
- •Sign the informed consent form
排除标准
- •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
结局指标
主要结局
Therapeutic effect of lung volume reduction surgery
时间窗: 6 months after bronchoscopic valve lung volume reduction
Lung CT
the integrity of interlobar fissure
时间窗: Before bronchoscopic valve lung volume reduction
Emphysema quantitative analysis softwarebased on chest image AI technology, artificial analysis and imported Chartis detection system
次要结局
未报告次要终点
研究者
Gang Hou
Principal Investigator
China-Japan Friendship Hospital