Complication and lung function impairment prediction using perfusion and computed tomography air trapping (CLIPPCAIR): protocol for the development and validation of a novel multivariable model for the prediction of post-resection lung function

Carey Meredith Suehs (1, 2) , Laurence Solovei (1, 2) , Kheira Hireche (1, 2) , Isabelle Vachier (1, 2) , Denis Mariano-Goulart (3, 2) , Lucie Gamon (1, 2) , Jérémy Charriot (3, 2) , Isabelle Serre (1, 2) , Nicolas Molinari (4) , Arnaud Bourdin (3, 2) , Sébastien Bommart (3, 2)

1 UM - Université de Montpellier
2 CHRU Montpellier - Centre Hospitalier Régional Universitaire [Montpellier]
3 PhyMedExp - Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046]
4 IMAG - Institut Montpelliérain Alexander Grothendieck

Background: Recent advancements in computed tomography (CT) scanning and post processing have provided new means of assessing factors affecting respiratory function. For lung cancer patients requiring resection, and especially those with respiratory comorbidities such as chronic obstructive pulmonary disease (COPD), the ability to predict post-operative lung function is a crucial step in the lung cancer operability assessment. The primary objective of the CLIPPCAIR study is to use novel CT data to develop and validate an algorithm for the prediction of lung function remaining after pneumectomy/lobectomy.Methods: Two sequential cohorts of non-small cell lung cancer patients requiring a pre-resection CT scan will be recruited at the Montpellier University Hospital, France: a test population (N=60) on which predictive models will be developed, and a further model validation population (N=100). Enrolment will occur during routine pre-surgical consults and follow-up visits will occur 1 and 6 months after pneumectomy/lobectomy. The primary outcome to be predicted is forced expiratory volume in 1 second (FEV1) six months after lung resection. The baseline CT variables that will be used to develop the primary multivariable regression model are: expiratory to inspiratory ratios of mean lung density (MLDe/i for the total lung and resected volume), the percentage of voxels attenuating at less than ‒950 HU (PVOX‒950 for the total lung and resected volume) and the ratio of iodine concentrations for the resected volume over that of the total lung. The correlation between predicted and real values will be compared to (and is expected to improve upon) that of previously published methods. Secondary analyses will include the prediction of transfer factor for carbon monoxide (TLCO) and complications in a similar fashion. The option to explore further variables as predictors of post-resection lung function or complications is kept open.Discussion: Current methods for estimating post-resection lung function are imperfect and can add assessments (such as scintigraphy) to the pre-surgical workup. By using CT imaging data in a novel fashion, the results of the CLIPPCAIR study may not only improve such estimates, it may also simplify patient pathways.

Mots clés: Mean lung density; Respiratory function; Lobectomy; Pneumectomy; Non-small cell lung cancer

Domaines: Pneumologie et système respiratoire; Cancer; Imagerie; Chirurgie

Carey Meredith Suehs, Laurence Solovei, Kheira Hireche, Isabelle Vachier, Denis Mariano-Goulart, et al.. Complication and lung function impairment prediction using perfusion and computed tomography air trapping (CLIPPCAIR): protocol for the development and validation of a novel multivariable model for the prediction of post-resection lung function. Annals of translational medicine, 2021, 9 (13), pp.1092. ⟨10.21037/atm-21-214⟩. ⟨hal-03327879⟩