Using AI to improve lung puncture procedures
Enhancing CBCT-Guided Lung Nodule Puncture Efficiency With Generative AI
This study is testing whether a new AI system can make lung puncture procedures safer and more effective compared to the standard method.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 220 (estimated) |
| Ages | 18 Years to 85 Years |
| Sex | All |
| Sponsor | Wuhan Union Hospital, China Academic / other |
| Drugs / interventions | radiation |
| Locations | 3 sites (Wuhan, Hubei and 2 other locations) |
| Trial ID | NCT06762613 on ClinicalTrials.gov |
What this trial studies
This clinical trial aims to evaluate the effectiveness of a Generative AI Based Puncture Surgery Navigation System (GPS) in guiding percutaneous lung punctures in adults. The study will compare the GPS approach to conventional cone beam CT (CBCT) guidance, focusing on outcomes such as the number of punctures required, radiation exposure, and complication rates. Participants will either receive GPS guidance or standard CBCT guidance during their procedures, and various metrics will be recorded to assess the quality of the imaging and the success of the puncture. The goal is to determine if GPS can enhance the efficacy and safety of lung puncture procedures.
Who should consider this trial
Good fit: Ideal candidates are adults requiring CBCT-guided percutaneous lung puncture and who meet the clinical indications for the procedure.
Not a fit: Patients with metallic implants affecting image quality, those with allergies to iodine contrast media, pregnant or breastfeeding individuals, and those unable to provide informed consent may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to safer and more efficient lung puncture procedures with fewer complications and lower radiation exposure for patients.
How similar studies have performed: While the use of AI in medical procedures is an emerging field, this specific application of GPS for lung puncture is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Participants who require CBCT-guided precutaneous lung puncture (PLP) and meet the clinical indications for the procedure. * Participants with pre-operation CT images available. * Participants whose physical condition is suitable for PLP. Exclusion Criteria: * Participants have metallic implants in the body, which severely affects the image quality. * Participants with a history of allergy or serious adverse reactions to iodine contrast media or other related drugs. * Participants are pregnant or breastfeeding. * Participants are unwilling or unable to sign informed consent.
Where this trial is running
Wuhan, Hubei and 2 other locations
- Wuhan Union Hospital — Wuhan, Hubei, China (Recruiting)
- Wuhan Union Jinyinhu Hospital — Wuhan, Hubei, China (Recruiting)
- Wuhan Union West Hospital — Wuhan, Hubei, China (Recruiting)
Study contacts
- Study coordinator: Lei Chen, MD
- Email: chan0812@126.com
- Phone: 86+15971480677
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.