Clinical trial Recruiting at 1 site Observational Ages 18 to 80

3-D virtual resection to predict lung function after VATS anatomical lung surgery

Official title: Preoperative Three-Dimensional Virtual Resection Predicts Postoperative Pulmonary Function After Anatomical Resection : A Prospective Longitudinal Study

Run by National Taiwan University Hospital · NCT07436598 · Data updated 2026-11-12

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 typeObservational
Ages18 Years to 80 Years
SexAll
Enrollment60 (estimated)
SponsorNational Taiwan University Hospital
Academic / other
Locations1 site (Taipei)
StatusRecruiting
StartedApril 7, 2026
Main results expectedJune 30, 2027
Study endsJune 30, 2027
Registry record updatedMay 13, 2026
Trial IDNCT07436598 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a 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.

Probably 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.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

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 gone: 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.

Who can join: the full rules

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 it's running

  • National Taiwan University Cancer Center
    Taipei, Taiwan
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.