AI-based Low Dose CBCT Reconstruction for Clinical Application

ConditionLung Nodule
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-80
SponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology

About this trial

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

Eligibility criteria

Qualifiers

Participants who require CBCT-guided precutaneous lung puncture (PLP) and meet the clinical indications for the procedure.

Participants whose physical condition is suitable for PLP.

Participants are willing to sign informed consent.

Disqualifiers

Participants have metallic implants in the body, which severely affects the image quality.

Participants are pregnant or breastfeeding.

Participants are unwilling or unable to sign informed consent.

Trial design

Treatments tested in this trial

  • AI-based low dose CBCT reconstructed images system
  • Conventional CBCT images system

Treatment groups

400 Participants
are divided into 2 treatment groups