Loading clinical trials...
Loading clinical trials...
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
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.
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.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Chu Montpellier
Montpellier, France
Start Date
September 21, 2020
Primary Completion Date
April 18, 2025
Completion Date
April 18, 2025
Last Updated
June 22, 2025
160
ACTUAL participants
Predictive data
DIAGNOSTIC_TEST
Lung resection
PROCEDURE
Lead Sponsor
University Hospital, Montpellier
NCT07190248
NCT06305754
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT07100080