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

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05774730
Enrollment
40
Registered
2023-03-20
Start date
2023-03-26
Completion date
2024-12-31
Last updated
2023-03-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Obstructive Pulmonary Disease

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.

Interventions

OTHEREmphysema quantitative analysis software based on chest image AI technology

The participants would undergo lung CT, and the integrity of interlobar fissure will be quantitatively analyses by software based on chest image AI technology.

OTHERartificial analysis of chest image

The participants would undergo lung CT, and the integrity of interlobar fissure will be artificially analyses.

PROCEDUREimported Chartis detection system

The participants would undergo imported Chartis detection system.

Sponsors

China-Japan Friendship Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

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

Design outcomes

Primary

MeasureTime frameDescription
Therapeutic effect of lung volume reduction surgery1 month after bronchoscopic valve lung volume reductionLung CT
the integrity of interlobar fissureBefore bronchoscopic valve lung volume reductionEmphysema quantitative analysis softwarebased on chest image AI technology, artificial analysis and imported Chartis detection system

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026