AI-based Low Dose CBCT Reconstruction for Clinical Application
NCT06831617 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 400
Last updated 2025-02-18
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
Conditions
- Lung Nodule
Interventions
- OTHER
-
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.
- OTHER
-
Conventional CBCT images system
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
Sponsors & Collaborators
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- TRIPLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-03-01
- Primary Completion
- 2025-10-31
- Completion
- 2025-11-30
Countries
- China
Study Locations
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