Spots Global Cancer Trial Database for Complication and Lung Function Impairment Prediction Using Perfusion and CT Air Trapping

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Trial Identification

Brief Title: Complication and Lung Function Impairment Prediction Using Perfusion and CT Air Trapping

Official Title: Complication and Lung Function Impairment Prediction Using Perfusion and CT Air Trapping (CLIPPCAIR): Protocol for the Development and Validation of a Novel Algorithm for Post-resection Lung Function

Study ID: NCT03885765

Conditions

Non-small Cell Lung Cancer

Interventions

Predictive data

Lung resection

Study Description

Brief Summary: The primary objective of the CLIPPCAIR study is to construct and validate a new algorithm for predicting post-operative forced expiratory volume in 1 second (FEV1) values for lung resection candidates; this new model will be based on data derived from a thoracic CT scan with injection of contrast media.

Detailed Description: Secondarily, the predictions made using traditional scintigraphic data will be compared with those from the new algorithm in a subset of high-risk patients, and cumulative contrast media and irradiation doses associated with imaging will be presented. How other measures of pulmonary function (e.g. transfer factor of the lung for carbon monoxide (TLCO)) and the presence/absence of operative complications might be predicted will also be investigated. Additionally, the potential links between (i) pre-surgical imaging data, (ii) post-surgical changes in respiratory function, and (iii) changes in health related quality of life will also be explored.