An interventional study of Generative AI Based Puncture Surgery Navigation System and Cone beam CT in Lung Nodules, sponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. Completed at 3 sites in China. Open to participants aged 18 Years to 85 Years. Per ClinicalTrials.gov, last updated 2025-07-23.
Sponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Not applicable, Interventional, and Treatment
The goal of this clinical trial is to learn if Generative AI Based Puncture Surgery Navigation System (GPS) can guide lung puncture in adults better. It will also learn about the quality improvement of cone beam CT (CBCT) by GPS. The main questions it aims to answer are:
Participants will:
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology is the lead sponsor of 162 studies on the registry; 131 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
Participants will receive percutaneous lung puncture under the guidance of GPS.
Combination Product: Generative AI Based Puncture Surgery Navigation System
Participants will receive percutaneous lung puncture under the guidance of cone beam CT.
Device: Cone beam CT
Participants will receive percutaneous lung puncture under the guidance of GPS.
Participants will receive percutaneous lung puncture under the guidance of cone beam CT.
Number of puncture needles of participants for GPS and CBCT-guided lung puncture procedures.
The number of punctures was defined as the number of punctures performed throughout the percutaneous lung puncture procedure.
Time frame: From enrollment to the end of the lung puncture procedure.
Radiation dose for GPS and CBCT-guided lung puncture procedures.
Radiation dose was defined as the radiation dose generated throughout the percutaneous lung puncture procedure.
Time frame: From enrollment to the end of the lung puncture procedure.
Puncture time for GPS and CBCT-guided lung puncture procedures.
Puncture time was defined as the duration of the entire percutaneous lung puncture procedure.
Time frame: From enrollment to the end of the lung puncture procedure.
Intraoperative and postoperative complications of participants for GPS and CBCT-guided lung puncture procedures.
Intraoperative and postoperative complications were defined as those arising in parricipants during percutaneous lung puncture and within 7 days after puncture.
Time frame: From enrollment to the end of the lung puncture procedure at 1 week.
Algorithmic performance (peak signal-to-noise ratio)
peak signal-to-noise ratio (PSNR) is a metric used to measure the quality of an image or video, assessing the degree of distortion by comparing the peak signal power to the mean square error (MSE) between the original signal and the compressed or processed signal. PSNR is measured in decibels (dB), with higher values indicating less distortion and better image or video quality.
Time frame: Through study completion, an average of three months.
Algorithmic performance (structural similarity)
Structural similarity (SSIM) is a metric for evaluating the similarity of two images. SSIM value is between 0 and 1, the larger the value, the more similar the images are.
Time frame: Through study completion, an average of 3 months.
Doctors' scoring of image and lesion quality
Doctors' scoring of image and lesion quality were got based on the 5-point scale Likert (1-5 points). Rated 5 out of 5 for very good images, 4 out of 5 for good, 3 out of 5 for moderate, 2 out of 5 for poor, 1 out of 5 for very poor.
Time frame: Through study completion, an average of 3 months.
Documents are hosted by the registry — open the source record to download them.
Plan to share: No
This study is completed, as verified in Jul 2025. You cannot join it, but the record below documents what was studied.
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Union Hospital, Tongji Medical College, Huazhong University of Science and Technology