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AI-based Low Dose CBCT Reconstruction for Clinical Application
Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Summary
The goal of this clinical trial is to learn if AI-based low dose CBCT reconstructed images can guide lung puncture effectively. The main questions it aims to answer are: 1. Does the AI-based low dose CBCT reconstruction model reconstruct high quality images? 2. Is it possible that low-dose CBCT reconstructed images can guide lung puncture procedures without compromising the efficiency of the procedure? Researchers will compare AI-based low dose CBCT reconstructed images to a placebo (conventional CBCT images) to see if AI-based low dose CBCT reconstructed image can guide lung puncture procedures without compromising the efficiency of the procedure. Participants will: 1. Undergo lung puncture under AI-based low dose CBCT reconstructed images guidance or under conventional CBCT images 2. Be followed up for 1 week postoperative to obtain patient complications
Official title: AI-based Low Dose CBCT Reconstruction for Lung Puncture Guidance: A Multicenter Randomized Controlled Study
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
400
Start Date
2025-03-01
Completion Date
2025-11-30
Last Updated
2025-02-18
Healthy Volunteers
No
Conditions
Interventions
AI-based low dose CBCT reconstructed images system
Participants in the experimental group undergo AI-based low dose (radiation dose is 1/6th of the dose used in the clinic) CBCT reconstructed images guided lung puncture procedures.
Conventional CBCT images system
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
Locations (3)
Wuhan Union Hospital
Wuhan, Hubei, China
Wuhan Union Jinyinhu Hospital
Wuhan, Hubei, China
Wuhan Union West Hospital
Wuhan, Hubei, China