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

Inclusion Criteria:

• 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.

Exclusion Criteria:

• 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.

The anonymized data is available from Huangxuan Zhao upon reasonable request.