- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06762613
Functional Innovation and Application Research of Domestic Advanced Low-Dose DSA/CT-DSA
July 17, 2025 updated by: Wuhan Union Hospital, China
Enhancing CBCT-Guided Lung Nodule Puncture Efficiency With Generative AI
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:
- Does GPS lower the number of punctures, radiation dose, and complications of participants undergo percutaneous lung puncture?
- Does GPS improve the quality of CBCT images? Researchers will compare GPS to a conventional CBCT guided percutaneous lung puncture to see if GPS can improve the efficacy of lung puncture.
Participants will:
- Take the percutaneous lung puncture by the guidance of GPS or conventional CBCT (placebo)
- The number of punctures, the success rate of the procedure, the radiation dose, intraoperative complications and postoperative complications at 7 days will be recorded
- The images of CBCT will be collected
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Actual)
220
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China, 430022
- Wuhan Union Hospital
-
Wuhan, Hubei, China, 430022
- Wuhan Union Jinyinhu Hospital
-
Wuhan, Hubei, China, 430022
- Wuhan Union West Hospital
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Participants who require CBCT-guided precutaneous lung puncture (PLP) and meet the clinical indications for the procedure.
- Participants with pre-operation CT images available.
- Participants whose physical condition is suitable for PLP.
Exclusion Criteria:
- Participants have metallic implants in the body, which severely affects the image quality.
- Participants with a history of allergy or serious adverse reactions to iodine contrast media or other related drugs.
- Participants are pregnant or breastfeeding.
- Participants are unwilling or unable to sign informed consent.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: GPS guided lung puncture
Participants will receive percutaneous lung puncture under the guidance of GPS.
|
Participants will receive percutaneous lung puncture under the guidance of GPS.
|
|
Placebo Comparator: CBCT guided lung puncture
Participants will receive percutaneous lung puncture under the guidance of cone beam CT.
|
Participants will receive percutaneous lung puncture under the guidance of cone beam CT.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of puncture needles of participants for GPS and CBCT-guided lung puncture procedures.
Time Frame: From enrollment to the end of the lung puncture procedure.
|
The number of punctures was defined as the number of punctures performed throughout the percutaneous lung puncture procedure.
|
From enrollment to the end of the lung puncture procedure.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Radiation dose for GPS and CBCT-guided lung puncture procedures.
Time Frame: From enrollment to the end of the lung puncture procedure.
|
Radiation dose was defined as the radiation dose generated throughout the percutaneous lung puncture procedure.
|
From enrollment to the end of the lung puncture procedure.
|
|
Puncture time for GPS and CBCT-guided lung puncture procedures.
Time Frame: From enrollment to the end of the lung puncture procedure.
|
Puncture time was defined as the duration of the entire percutaneous lung puncture procedure.
|
From enrollment to the end of the lung puncture procedure.
|
|
Intraoperative and postoperative complications of participants for GPS and CBCT-guided lung puncture procedures.
Time Frame: From enrollment to the end of the lung puncture procedure at 1 week.
|
Intraoperative and postoperative complications were defined as those arising in parricipants during percutaneous lung puncture and within 7 days after puncture.
|
From enrollment to the end of the lung puncture procedure at 1 week.
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Algorithmic performance (peak signal-to-noise ratio)
Time Frame: Through study completion, an average of three months.
|
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.
|
Through study completion, an average of three months.
|
|
Algorithmic performance (structural similarity)
Time Frame: Through study completion, an average of 3 months.
|
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.
|
Through study completion, an average of 3 months.
|
|
Doctors' scoring of image and lesion quality
Time Frame: Through study completion, an average of 3 months.
|
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.
|
Through study completion, an average of 3 months.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Deng L, Ji Y, Huang S, Yang X, Wang J. Synthetic CT generation from CBCT using double-chain-CycleGAN. Comput Biol Med. 2023 Jul;161:106889. doi: 10.1016/j.compbiomed.2023.106889. Epub 2023 Apr 3.
- Ren Q, Zhou Y, Yan M, Zheng C, Zhou G, Xia X. Imaging-guided percutaneous transthoracic needle biopsy of nodules in the lung base: fluoroscopy CT versus cone-beam CT. Clin Radiol. 2022 May;77(5):e394-e399. doi: 10.1016/j.crad.2022.02.005. Epub 2022 Feb 25.
- Choo JY, Park CM, Lee NK, Lee SM, Lee HJ, Goo JM. Percutaneous transthoracic needle biopsy of small (</= 1 cm) lung nodules under C-arm cone-beam CT virtual navigation guidance. Eur Radiol. 2013 Mar;23(3):712-9. doi: 10.1007/s00330-012-2644-6. Epub 2012 Sep 14.
- Rotolo N, Floridi C, Imperatori A, Fontana F, Ierardi AM, Mangini M, Arlant V, De Marchi G, Novario R, Dominioni L, Fugazzola C, Carrafiello G. Comparison of cone-beam CT-guided and CT fluoroscopy-guided transthoracic needle biopsy of lung nodules. Eur Radiol. 2016 Feb;26(2):381-9. doi: 10.1007/s00330-015-3861-6. Epub 2015 Jun 6.
- Steiling K, Kathuria H, Echieh CP, Ost DE, Rivera MP, Begnaud A, Celedon JC, Charlot M, Dietrick F, Duma N, Fong KM, Ford JG, Gould MK, Holguin F, Perez-Stable EJ, Tanner NT, Thomson CC, Wiener RS, Wisnivesky J. Research Priorities for Interventions to Address Health Disparities in Lung Nodule Management: An Official American Thoracic Society Research Statement. Am J Respir Crit Care Med. 2023 Mar 15;207(6):e31-e46. doi: 10.1164/rccm.202212-2216ST.
- Mazzone PJ, Lam L. Evaluating the Patient With a Pulmonary Nodule: A Review. JAMA. 2022 Jan 18;327(3):264-273. doi: 10.1001/jama.2021.24287.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2025
Primary Completion (Actual)
March 31, 2025
Study Completion (Actual)
June 18, 2025
Study Registration Dates
First Submitted
December 15, 2024
First Submitted That Met QC Criteria
December 30, 2024
First Posted (Actual)
January 7, 2025
Study Record Updates
Last Update Posted (Actual)
July 23, 2025
Last Update Submitted That Met QC Criteria
July 17, 2025
Last Verified
July 1, 2025
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- GPS-lung001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Lung Nodules
-
Memorial Sloan Kettering Cancer CenterCompletedLung Nodules | Undiagnosed Pulmonary NodulesUnited States
-
Daping Hospital and the Research Institute of Surgery...Not yet recruiting
-
Biodesix, Inc.Active, not recruiting
-
University of CalgaryCompleted
-
Chung Shan Medical UniversityNot yet recruiting
-
Ruijin HospitalRecruiting
-
Ulsan University HospitalRecruitingBronchoscopy | Lung Nodules | Peripheral Lung Lesions | Pulmonary Nodules | Lung CancersSouth Korea
-
ChromX HealthPeking Union Medical College Hospital; Shanghai Chest Hospital; The First Affiliated... and other collaboratorsRecruitingLung Cancer | Pulmonary Nodules, Solitary | Pulmonary Nodules, MultipleChina
-
Washington University School of MedicineOlympusRecruitingPeripheral Pulmonary NodulesUnited States
Clinical Trials on Generative AI Based Puncture Surgery Navigation System
-
Boston Children's HospitalNot yet recruitingAvoidant Restrictive Food Intake Disorder
-
Renmin Hospital of Wuhan UniversityRecruitingArtificial Intelligence | Bile Duct Diseases | Pancreatic Disease | Endoscopic UltrasonographyChina
-
Yonsei UniversitySeverance HospitalRecruitingRadiotherapy | Patient EducationSouth Korea
-
Samsung Medical CenterUnknown
-
Xiaolong Yan, Dr.Not yet recruitingPercutaneous Lung Ablation
-
Renmin Hospital of Wuhan UniversityNot yet recruitingArtificial Intelligence | Endoscopy, Gastrointestinal
-
Chinese PLA General HospitalUnknownBleeding | Acute Coronary Syndrome | Percutaneous Coronary InterventionChina
-
Research and Practical Clinical Center for Diagnostics...Sciberia Co. LtdRecruitingPneumonia, Viral | COVID-19 PneumoniaRussian Federation
-
University Hospital, BordeauxCompleted
-
Tsinghua UniversityRecruiting