- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06831617
AI-based Low Dose CBCT Reconstruction for Clinical Application
February 12, 2025 updated by: Wuhan Union Hospital, China
AI-based Low Dose CBCT Reconstruction for Lung Puncture Guidance: A Multicenter Randomized Controlled Study
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:
- Does the AI-based low dose CBCT reconstruction model reconstruct high quality images?
- 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:
- Undergo lung puncture under AI-based low dose CBCT reconstructed images guidance or under conventional CBCT images
- Be followed up for 1 week postoperative to obtain patient complications
Study Overview
Status
Not yet recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
400
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 Contact
- Name: Huangxuan Zhao, PhD
- Phone Number: +8618971676985
- Email: zhao_huangxuan@sina.com
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China, 430022
- Wuhan Union Hospital
-
Principal Investigator:
- Bo Du, PhD
-
Contact:
- Lei Chen, MD
- Phone Number: 86-15971480677
- Email: chan0812@126.com
-
Wuhan, Hubei, China, 430022
- Wuhan Union Jinyinhu Hospital
-
Principal Investigator:
- Bo Du, PhD
-
Contact:
- Lei Chen, MD
- Phone Number: 86-15971480677
- Email: chan0812@126.com
-
Wuhan, Hubei, China, 430022
- Wuhan Union West Hospital
-
Principal Investigator:
- Bo Du, PhD
-
Contact:
- Lei Chen, MD
- Phone Number: 15971480677
- Email: chan0812@126.com
-
-
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 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.
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: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: AI based CBCT reconstructed images guided lung puncture
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.
|
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.
|
|
Placebo Comparator: Conventional CBCT images guided lung puncture
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
|
Participants in the experimental group undergo conventional CBCT images guided lung puncture procedures.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of puncture needles of participants undergoing percutaneous 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
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.
|
|
Intraoperative and postoperative complications of participants undergoing 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 9 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 9 months.
|
|
Algorithmic performance (structural similarity)
Time Frame: Through study completion, an average of 9 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 9 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.
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 (Estimated)
March 1, 2025
Primary Completion (Estimated)
October 31, 2025
Study Completion (Estimated)
November 30, 2025
Study Registration Dates
First Submitted
February 12, 2025
First Submitted That Met QC Criteria
February 12, 2025
First Posted (Actual)
March 25, 2025
Study Record Updates
Last Update Posted (Actual)
March 25, 2025
Last Update Submitted That Met QC Criteria
February 12, 2025
Last Verified
February 1, 2025
More Information
Terms related to this study
Other Study ID Numbers
- AI guidance-Lung 001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
The anonymized data is available from Huangxuan Zhao upon reasonable request.
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.