3-D virtual resection to predict lung function after VATS anatomical lung surgery
Preoperative Three-Dimensional Virtual Resection Predicts Postoperative Pulmonary Function After Anatomical Resection : A Prospective Longitudinal Study
The study will test whether a 3-D virtual resection from thin-slice CT scans can better predict lung function after VATS lobectomy or segmentectomy for people with non-small cell lung cancer.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 60 (estimated) |
| Ages | 18 Years to 80 Years |
| Sex | All |
| Sponsor | National Taiwan University Hospital Academic / other |
| Locations | 1 site (Taipei) |
| Trial ID | NCT07436598 on ClinicalTrials.gov |
What this trial studies
This prospective, multicenter longitudinal cohort recruits 60 patients scheduled for VATS anatomical resection (30 lobectomy, 30 segmentectomy). Preoperative thin-slice (1 mm) chest CT and standard pulmonary function tests are performed within 30 days before surgery, and a patient-specific 3-D model is reconstructed using Synapse 3-D. Investigators perform a virtual resection to calculate the planned resected ventilated lung volume fraction (pRVLVF) based on well-aerated lung (–950 to –700 HU). Patients undergo standard VATS surgery and have follow-up PFTs at 3, 6, and 12 months to compare predicted versus actual postoperative pulmonary function.
Who should consider this trial
Good fit: Adults aged 18–80 with non-small cell lung cancer who are scheduled for VATS lobectomy or segmentectomy at National Taiwan University Hospital/NTU Cancer Center and can undergo thin-slice CT and PFTs are ideal candidates.
Not a fit: Patients with COPD, those not undergoing VATS anatomical resection (for example open thoracotomy), or those unable to obtain the required CT or PFT data are unlikely to benefit from this predictive tool.
Why it matters
Potential benefit: If successful, this method could provide more accurate individualized predictions of postoperative lung function to improve surgical decision-making and patient safety.
How similar studies have performed: Imaging-based and volumetric prediction methods have shown promise in prior work, but full clinical validation of 3-D virtual resection to predict postoperative function remains limited and is still being established.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients scheduled for video-assisted thoracoscopic (VATS) lobectomy or segmentectomy at National Taiwan University Hospital or NTU Cancer Center. * Age between 18 and 80 years. * Patients who have signed the informed consent form agreeing to provide imaging data for 3D modeling. Exclusion Criteria: * Age younger than 18 or older than 80 years. * Patients not scheduled for VATS lobectomy or segmentectomy. * Patients diagnosed with Chronic Obstructive Pulmonary Disease (COPD). * Patients unable or unwilling to sign the informed consent form. * Vulnerable populations.
Where this trial is running
Taipei
- National Taiwan University Cancer Center — Taipei, Taiwan (Recruiting)
Study contacts
- Study coordinator: Chih-Hsiang Chang, MD
- Email: thenightdeity@gmail.com
- Phone: +886-0972653384
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.