Status:
COMPLETED
Research on New Diagnosis and Treatment Technologies for Early Lung Cancer
Lead Sponsor:
Jisong Zhang
Conditions:
Lung Cancer, Peripheral Pulmonary Nodules
Eligibility:
All Genders
18-80 years
Phase:
NA
Brief Summary
To verify the clinical effectiveness and safety of the airway tree navigation system constructed by artificial intelligence (AI) in the navigation diagnosis of peripheral pulmonary nodules (PPLs).
Detailed Description
Early diagnosis and treatment of lung cancer is of great significance, in which navigated tracheoscopic biopsy is an important tool for confirming the diagnosis of early lung cancer. Conventional navi...
Eligibility Criteria
Inclusion
- Aged 18 years or above.
- Patients with one or more peripheral lung nodules suspected to be lung cancer or poorly absorbing lesions on conventional anti-infective therapy.
- Patients with nodule diameters ≤30 mm (diameters mentioned in the text are the average of the maximum and minimum diameters).
- The nodules were pure ground glass nodules, partially solid nodules, or solid nodules.
- The nodule is surrounded by lung parenchyma and is not visible in the bronchial lumen above the segment.
Exclusion
- Preoperative judgment that it is difficult for the patient to benefit from bronchoscopic biopsy (e.g., high risk of bleeding due to perivascular encasement of the lesion, difficulty in reaching the airway adjacent to the lesion due to previous lung surgery, etc.).
- Those with incomplete clinical data.
- Those with missing visits after biopsy.
Key Trial Info
Start Date :
August 1 2023
Trial Type :
INTERVENTIONAL
Allocation :
ACTUAL
End Date :
December 31 2024
Estimated Enrollment :
92 Patients enrolled
Trial Details
Trial ID
NCT07000721
Start Date
August 1 2023
End Date
December 31 2024
Last Update
July 8 2025
Active Locations (1)
Enter a location and click search to find clinical trials sorted by distance.
1
Sir Run Run Shaw Hospital, Zhejiang University School of Medicine
Hangzhou, Zhejiang, China, 310016