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Recruiting NCT07436598

NCT07436598 3D Virtual Resection for Predicting Lung Function in VATS

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Clinical Trial Summary
NCT ID NCT07436598
Status Recruiting
Phase
Sponsor National Taiwan University Hospital
Condition Non-small Cell Lung Cancer
Study Type OBSERVATIONAL
Enrollment 60 participants
Start Date 2026-04-07
Primary Completion 2027-06-30

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 80 Years
Study Type OBSERVATIONAL

Eligibility Fast-Check

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What to Expect as a Participant

This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.

This trial targets 60 participants in total. It began in 2026-04-07 with a primary completion date of 2027-06-30.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

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.

Eligibility 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.

Contact & Investigator

Central Contact

Chih-Hsiang Chang, MD

✉ thenightdeity@gmail.com

📞 +886-0972653384

Frequently Asked Questions

Who can join the NCT07436598 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 80 Years, studying Non-small Cell Lung Cancer. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07436598 currently recruiting?

Yes, NCT07436598 is actively recruiting participants. Contact the research team at thenightdeity@gmail.com for enrollment information.

Where is the NCT07436598 trial being conducted?

This trial is being conducted at Taipei, Taiwan.

Who is sponsoring the NCT07436598 clinical trial?

NCT07436598 is sponsored by National Taiwan University Hospital. The trial plans to enroll 60 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology