Actively Recruiting
3D Virtual Resection for Predicting Lung Function in VATS
Led by National Taiwan University Hospital · Updated on 2026-05-13
60
Participants Needed
1
Research Sites
64 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
This study aims to validate a novel preoperative assessment strategy using three-dimensional (3-D) computed tomography (CT) reconstruction and virtual resection simulation. The goal is to accurately predict postoperative pulmonary function in patients with non-small cell lung cancer (NSCLC) undergoing Video-Assisted Thoracoscopic Surgery (VATS) anatomical resection. Accurate prediction of postoperative lung function is crucial for patient safety. Traditional methods, such as segment counting, often lack precision because they assume all lung segments contribute equally to function, ignoring variations caused by tumors or emphysema. This study utilizes 3-D "virtual resection" to quantify the "Planned Resected Ventilated Lung Volume Fraction" (pRVLVF) before surgery. The study will recruit 60 participants divided into two groups: those undergoing lobectomy (n=30) and those undergoing segmentectomy (n=30). Participants will undergo standard thin-slice CT scans and pulmonary function tests (PFT) before surgery. Postoperatively, lung function and recovery will be tracked at 3, 6, and 12 months to develop a dynamic prediction model and evaluate the compensatory capacity of the residual lung.
CONDITIONS
Official Title
3D Virtual Resection for Predicting Lung Function in VATS
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Scheduled for video-assisted thoracoscopic (VATS) lobectomy or segmentectomy at National Taiwan University Hospital or NTU Cancer Center
- Age between 18 and 80 years
- Signed informed consent agreeing to provide imaging data for 3D modeling
You will not qualify if you...
- Age younger than 18 or older than 80 years
- Not scheduled for VATS lobectomy or segmentectomy
- Diagnosed with Chronic Obstructive Pulmonary Disease (COPD)
- Unable or unwilling to sign informed consent
- Vulnerable populations
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
National Taiwan University Cancer Center
Taipei, Taiwan
Actively Recruiting
Research Team
C
Chih-Hsiang Chang, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here