Clinical trial · Observational
Post-Operative Prediction of PulmonarY Function
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
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- The accuracy of CT ventilation imaging compared to ASC in predicting postoperative values of the pulmonary function metric FEV1
- timeFrame
- 1 week
- description
- The accuracy of CT ventilation imaging compared to ASC in predicting postoperative values of the pulmonary function metric FEV1 will be assessed via a comparison with actual postoperative values measured from PFTs. CT ventilation images will be used to produce regionally-informed ppoFEV1 by proportionally reducing the pre-surgery FEV1 by the proportion of ventilation lost by removal of the surgical target section of lung. As this is an investigative study, it is not powered for a statistical analysis. Bland-Altman analysis will be used to quantify the ability of ASC and CT ventilation to predict ppoFEV1
Secondary outcomes (3)
- measure
- The accuracy of CT ventilation imaging in predicting ppoFEV1
- timeFrame
- 1 week
- description
- The accuracy of CT ventilation imaging in predicting ppoFEV1will be compared to that of SPECT ventilation imaging. Bland-Altman analysis will be used to quantify the ability of SPECT and CT ventilation to predict ppoFEV1
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * 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 Criteria: * Interstitial lung disease. * Pregnant women.
References
Publications (0)
Data not yet available