Clinical Research Directory

Post-Operative Prediction of PulmonarY Function

Sponsor: University of Sydney

Summary

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.

Official title: 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

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