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Evaluation of the Effectiveness of Predicting the Integrity of Interlobar Fissures Based on Chest Image AI Technology

Not yet recruiting
Conditions
Chronic Obstructive Pulmonary Disease
Interventions
Other: artificial analysis of chest image
Procedure: imported Chartis detection system
Other: 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
Inclusion Criteria
  • 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
Exclusion Criteria
  • 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
GroupInterventionDescription
artificial analysisartificial analysis of chest image-
imported Chartis detection systemimported Chartis detection system-
Emphysema quantitative analysis softwarebased on chest image AI technologyEmphysema quantitative analysis software based on chest image AI technology-
Primary Outcome Measures
NameTimeMethod
Therapeutic effect of lung volume reduction surgery6 months after bronchoscopic valve lung volume reduction

Lung CT

the integrity of interlobar fissureBefore bronchoscopic valve lung volume reduction

Emphysema quantitative analysis softwarebased on chest image AI technology, artificial analysis and imported Chartis detection system

Secondary Outcome Measures
NameTimeMethod
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