Predicting Lung Function After Lung Cancer Surgery Using CT Scans
Compares CT scan lung imaging with standard methods to predict breathing after surgery.
Plain-language title generated from the registry record
Registry title: Post-Operative Prediction of PulmonarY Function
Key facts
- Where
- Saint Leonards, AustraliaSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults with lung cancer who are candidates for lung surgery and who have the required lung scans and breathing tests.
- Age
- 18 years or older
- Sex
- All sexes
- Disease stage
- Lung cancer; candidates for lung cancer surgery; ECOG performance status 0-2
Main reasons for not taking part
- Interstitial lung disease
- Pregnant women
Read by machine on 12 November 2026.
Where in Australia
- Royal North Shore HospitalSaint Leonards, AustraliaContact: Shona SilvesterTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- University of Sydney
- Trial code
- NCT06494254
- Record updated
- 20 May 2026
- Original description
Prediction of postoperative lung function is currently based on anatomical segment counting (ASC), which incorporates pulmonary function test (PFT) results. Standard PFTs such as spirometry can only measure pulmonary capacity as an average over the entire lung and do not take regional function differences into account. Nuclear medicine is recommended where regional functional imaging is required to inform surgical decisions. However, nuclear medicine scans are expensive, time consuming and not available in all institutions. CT-ventilation imaging is a cheaper and more accessible alternative to nuclear medicine for informing lung cancer patient treatment choices.Read full original descriptionShow less
Post-Operative Prediction of PulmonarY Function A Pilot Study to Assess the Benefit of Incorporating Regional Ventilation Information in the Prediction of Post-operative Lung Function for Lung Cancer Surgery
Prediction of postoperative lung function is currently based on anatomical segment counting (ASC), which incorporates pulmonary function test (PFT) results. Standard PFTs such as spirometry can only measure pulmonary capacity as an average over the entire lung and do not take regional function differences into account. Nuclear medicine is recommended where regional functional imaging is required to inform surgical decisions. However, nuclear medicine scans are expensive, time consuming and not available in all institutions. CT-ventilation imaging is a cheaper and more accessible alternative to nuclear medicine for informing lung cancer patient treatment choices.
The primary aim is to quantify the difference between predicted postoperative values of pulmonary function metrics derived from CT ventilation imaging and standard anatomical segment counting method.
Inclusion: Aged 18 years or older; ECOG performance status 0-2; Lung cancer surgical candidates; Undergo SPECT V/Q scans within 8 weeks of registration; Undergo BHCT scans within 8 weeks of registration; Pulmonary function tests within 8 weeks of registration; Willingness to give written informed consent; Willingness and ability to comply with the study procedures and visit requirements.
Exclusion: Interstitial lung disease; Pregnant women.