Functional Innovation and Application Research of Domestic Advanced Low-Dose DSA/CT-DSA
NCT06762613 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 220
Last updated 2025-07-23
Summary
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
Conditions
- Lung Nodules
Interventions
- COMBINATION_PRODUCT
-
Generative AI Based Puncture Surgery Navigation System
Participants will receive percutaneous lung puncture under the guidance of GPS.
- DEVICE
-
Cone beam CT
Participants will receive percutaneous lung puncture under the guidance of cone beam CT.
Sponsors & Collaborators
-
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- TRIPLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-01-01
- Primary Completion
- 2025-03-31
- Completion
- 2025-06-18
Countries
- China
Study Locations
More Related Trials
-
Prediction of Targeted Therapy Efficacy in EGFR-mutant Lung Cancer Patients Using AI-based Multimodal Data
NCT07287904 ·Status: NOT_YET_RECRUITING
-
Imaging-based Deep Learning for Lung Cancer Diagnosis and Staging
NCT04000620 ·Status: UNKNOWN
-
Assessment of Diagnostic Yield Using a Robotic Navigational Bronchoscopy System With CBCT
NCT06084208 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Artificial Intelligence System for Assessment of Tumor Risk and Diagnosis and Treatment
NCT05426135 ·Status: RECRUITING
-
Safety and Effectiveness of Disposable Pulmonary Surgical Markers in the Localization of Pulmonary Nodules
NCT04139408 ·Status: COMPLETED ·Phase: NA
-
Exploratory Trial of Navigational Bronchoscopy-Guided Cryoablation in Lung Cancer Treatment
NCT07301411 ·Status: RECRUITING ·Phase: NA
-
Application of Radiomics-based AI Models in Predicting Clinical Outcome of Patients With Renal Cell Carcinoma After Surgical Treatment
NCT07118813 ·Status: RECRUITING
-
Robotic-Assisted Navigation for Lung Nodule Localization: A Non-Inferiority Study
NCT07055997 ·Status: COMPLETED ·Phase: NA
-
Development of an Artificial Intelligence System for Intelligent Pathological Diagnosis and Therapeutic Effect Prediction Based on Multimodal Data Fusion of Common Tumors and Major Infectious Diseases in the Respiratory System Using Deep Learning Technology.
NCT05046366 ·Status: UNKNOWN
-
AI-Assisted Non-Contrast CT for Multi-Cancer Screening
NCT06632886 ·Status: RECRUITING ·Phase: NA
-
Research on New Diagnosis and Treatment Technologies for Early Lung Cancer
NCT07000721 ·Status: COMPLETED ·Phase: NA
-
Clinical Evaluation of the V5-LU01 AI Software in Thoracic CT for V5med Inc.
NCT06514248 ·Status: COMPLETED ·Phase: NA
-
Next Generation Chest X-Ray Tomosynthesis for Screening of Lung Cancer
NCT06577883 ·Status: RECRUITING
-
Development and Demonstration of Intelligent Assessment Based on Multi-modal Information Fusion for Tumor Risk and Diagnosis and Treatment
NCT06653478 ·Status: RECRUITING
-
Advancing Lung Cancer Screening: Artificial Intelligence, Multimodal Imaging and Cutting-Edge Technologies for Early Detection and Characterization
NCT06531343 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Evaluation of Lung Nodule Detection With Artificial Intelligence Assisted Computed Tomography in North China
NCT03487952 ·Status: UNKNOWN
-
Diagnosis of Individuals With Pulmonary Nodules by Different Bronchoscopy Combination
NCT02268162 ·Status: UNKNOWN ·Phase: NA
-
Deep Learning for Preoperative Pulmonary Assessment in Thoracic CT
NCT06477458 ·Status: RECRUITING
-
Augmented Reality Assisted Lung Nodule Localization: a Multicentered, Prospective, Randomly Controlled, Non-inferiority Trial
NCT06548451 ·Status: COMPLETED ·Phase: NA
-
3D Printing for Nodule Localization
NCT04056923 ·Status: COMPLETED ·Phase: NA
-
Validating Artificial Intelligence Effectiveness Defined Lung Nodule Malignancy Score in Patients With Pulmonary Nodule.
NCT05817110 ·Status: ACTIVE_NOT_RECRUITING
-
Trial of Artificial Intelligence for Chest Radiography
NCT06456203 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Efficacy and Safety of Robotic-assisted Bronchoscopy Combined With the ICNVA Strategy in Biopsy of Peripheral Pulmonary Nodules
NCT07136961 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Precision Diagnosis and Therapy for Early Stage Lung Cancer
NCT02936804 ·Status: UNKNOWN ·Phase: NA
-
Standalone Observational Study Assessing the Performance of an AI/ML Tech-based SaMD on Chest LDCT Images (REALITY)
NCT06576232 ·Status: COMPLETED