Robotic-Assisted Navigation for Lung Nodule Localization: A Non-Inferiority Study
NCT07055997 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100
Last updated 2025-07-09
Summary
This study compares robotic-assisted navigation and manual CT-guided needle localization for lung nodules under 20 mm. It aims to evaluate localization success, procedure duration, CT scans, and complication rates.
Conditions
- Lung Nodules
- Lung Cancer (Diagnosis)
- Robotic-Assisted Navigation System
Interventions
- DEVICE
-
Robotic-assisted needle localization
Robot-assisted needle localization involves the use of a robotic system to assist with the percutaneous localization of pulmonary nodules under CT guidance. The robotic system provides real-time navigation and increased precision during needle placement, reducing the variability in positioning and improving the accuracy of localization. The system offers automatic adjustments to the needle's trajectory, minimizing the need for manual corrections, and potentially reducing the number of CT scans required. This method is designed to enhance the overall localization success rate and reduce complications associated with traditional manual techniques.
- PROCEDURE
-
Manual needle localization
Manual needle localization involves the traditional technique of percutaneous localization of pulmonary nodules under CT guidance without the assistance of robotic systems. The procedure is performed by the physician manually guiding the needle based on real-time CT imaging. The physician adjusts the needle position based on visual cues from the CT scan, which may require multiple attempts for accurate localization.
Sponsors & Collaborators
-
The First Affiliated Hospital of Guangzhou Medical University
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-06-01
- Primary Completion
- 2024-12-31
- Completion
- 2025-03-01
Countries
- China
Study Locations
More Related Trials
-
Efficacy and Safety of Cryoablation with Robotic Bronchoscopy System in Patients with Lung Cancer
NCT06832956 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
Early Intervention Strategies for Lung Cancer
NCT06988943 ·Status: RECRUITING ·Phase: NA
-
Study on the Diagnosis of Ground-glass Lung Cancer by Microwave Ablation Combined With Puncture Biopsy
NCT06776588 ·Status: RECRUITING ·Phase: NA
-
Interventional Ablation for Early-stage Lung Cancer
NCT07005999 ·Status: ACTIVE_NOT_RECRUITING
-
Non-risk Based Lang Cancer Screening With a One-off LDCT
NCT04938804 ·Status: RECRUITING ·Phase: NA
-
The Impact of AI Assistance on Radiologist Performance and Healthcare Costs in LDCT-Based Lung Cancer Screening
NCT06988579 ·Status: RECRUITING ·Phase: NA
-
Evaluation of Lung Nodule Detection With Artificial Intelligence Assisted Computed Tomography in North China
NCT03487952 ·Status: UNKNOWN
-
Artificial Intelligence-based Model for the Prediction of Occult Lymph Node Metastasis and Improvement of Clinical Decision-making in Non-small Cell Lung Cancer
NCT06684418 ·Status: RECRUITING
-
Assessment of Tool Placement in Pulmonary Nodule(s) Using a Robotic Navigational Bronchoscopy System
NCT05867953 ·Status: COMPLETED ·Phase: NA
-
3D Printing for Nodule Localization
NCT04056923 ·Status: COMPLETED ·Phase: NA
-
Low-dose Computed Tomography-guided Core Needle Biopsy for Lung Nodules
NCT04217655 ·Status: COMPLETED ·Phase: NA
-
A Study to Explore the Early Subjective Evaluation and Objective Recovery in Lung Cancer Patients Undergoing Sublobar Resection Versus Lobectomy
NCT07288710 ·Status: RECRUITING
-
From Benchmark to Surgical Activity: the Role of Endobronchial Fiducial Markers for Ground Glass Lung Nodules Resection.
NCT05801406 ·Status: NOT_YET_RECRUITING
-
Pulmonary Watershed Topographic Map Navigation for Lung Nodule Resection
NCT06404164 ·Status: RECRUITING ·Phase: NA
-
Exploratory Trial of Navigational Bronchoscopy-Guided Cryoablation in Lung Cancer Treatment
NCT07301411 ·Status: RECRUITING ·Phase: NA
-
Diagnostic Value of Confocal Laser Endomicroscopy (CelTouch) for Peripheral Lung Lesions
NCT07004946 ·Status: RECRUITING
-
Predicting Immunotherapy Response and Survival of Lung Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Lung)
NCT07059923 ·Status: RECRUITING
-
A Prospective, Non-interventional Cohort Study of Subsolid Pulmonary Nodules
NCT06458673 ·Status: NOT_YET_RECRUITING
-
Augmented Reality Assisted Lung Nodule Localization: a Multicentered, Prospective, Randomly Controlled, Non-inferiority Trial
NCT06548451 ·Status: COMPLETED ·Phase: NA
-
AI Determine Malignancy of GGO on Chest CT
NCT06282068 ·Status: ENROLLING_BY_INVITATION
-
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
NCT06356441 ·Status: NOT_YET_RECRUITING
-
China Lung Cancer Screening (CLUS) Study Version 2.0
NCT03975504 ·Status: UNKNOWN ·Phase: NA
-
superDimension™ Navigation System Version 7.2 With Fluoroscopic Navigation Technology
NCT03585959 ·Status: COMPLETED ·Phase: NA
-
AI & Radiomics for Stratification of Lung Nodules After Radically Treated Cancer
NCT05375591 ·Status: RECRUITING
-
Augmented Reality-assisted Localization of Solitary Pulmonary Nodules for Precise Sublobar Lung Resection
NCT05162235 ·Status: UNKNOWN ·Phase: NA