Article (Scientific journals)
Radiomics and Delta-Radiomics Signatures to Predict Response and Survival in Patients with Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors
Cousin, François; Louis, Thomas; Dheur, Sophie et al.
2023In Cancers, 15 (7), p. 1968
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Keywords :
Cancer Research; Oncology
Abstract :
[en] The aim of our study was to determine the potential role of CT-based radiomics in predicting treatment response and survival in patients with advanced NSCLC treated with immune checkpoint inhibitors. We retrospectively included 188 patients with NSCLC treated with PD-1/PD-L1 inhibitors from two independent centers. Radiomics analysis was performed on pre-treatment contrast-enhanced CT. A delta-radiomics analysis was also conducted on a subset of 160 patients who underwent a follow-up contrast-enhanced CT after 2 to 4 treatment cycles. Linear and random forest (RF) models were tested to predict response at 6 months and overall survival. Models based on clinical parameters only and combined clinical and radiomics models were also tested and compared to the radiomics and delta-radiomics models. The RF delta-radiomics model showed the best performance for response prediction with an AUC of 0.8 (95% CI: 0.65−0.95) on the external test dataset. The Cox regression delta-radiomics model was the most accurate at predicting survival with a concordance index of 0.68 (95% CI: 0.56−0.80) (p = 0.02). The baseline CT radiomics signatures did not show any significant results for treatment response prediction or survival. In conclusion, our results demonstrated the ability of a CT-based delta-radiomics signature to identify early on patients with NSCLC who were more likely to benefit from immunotherapy.
Disciplines :
Radiology, nuclear medicine & imaging
Cardiovascular & respiratory systems
Author, co-author :
Cousin, François  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service médical de médecine nucléaire et imagerie onco
Louis, Thomas ;  Centre Hospitalier Universitaire de Liège - CHU > > Service médical de médecine nucléaire et imagerie onco ; Radiomics (Oncoradiomics SA), 4000 Liège, Belgium
Dheur, Sophie ;  Centre Hospitalier Universitaire de Liège - CHU > > Service médical de radiodiagnostic
Aboubakar, Frank ;  Department of Pulmonology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, 1200 Bruxelles, Belgium ; Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, 1200 Bruxelles, Belgium
Ghaye, Benoit;  Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, 1200 Bruxelles, Belgium ; Department of Radiology, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, 1200 Bruxelles, Belgium
Occhipinti, Mariaelena;  Radiomics (Oncoradiomics SA), 4000 Liège, Belgium
Vos, Wim ;  Radiomics (Oncoradiomics SA), 4000 Liège, Belgium
Bottari, Fabio ;  Radiomics (Oncoradiomics SA), 4000 Liège, Belgium
PAULUS, Astrid ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Sibille, Anne ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
VAILLANT, Frédérique ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Duysinx, Bernard ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Guiot, Julien  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service de pneumologie - allergologie
Hustinx, Roland  ;  Centre Hospitalier Universitaire de Liège - CHU > > Service médical de médecine nucléaire et imagerie onco
More authors (4 more) Less
Language :
English
Title :
Radiomics and Delta-Radiomics Signatures to Predict Response and Survival in Patients with Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors
Publication date :
25 March 2023
Journal title :
Cancers
eISSN :
2072-6694
Publisher :
MDPI AG
Volume :
15
Issue :
7
Pages :
1968
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 29 March 2023

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