Même sujet à différentes échelles / modalités
Same subject at different scales / modalities
IRIS Team
Welcome to IRIS
Harmonisation de paramètres
Feature Harmonization
Analyse de forme (RIM)
Shape Analyse (RIM)
Analyse de Texture 2D ou 3D
2D or 3D Texture Analysis
Localisation des tumeurs en TEP-FDG
Tumors Location on PET-FDG

The TIPIT project (2020-2023), who involves U900 Inserm - Institut Curie - PSL (Head : Emmanuel Barillot), the Department of thoracic oncology of Institut Curie (Head : Nicolas Girard) and our lab is funded by the ARC fondation, as part of the SIGNIT call,  for 3 years.

The project will consist in gathering a database of genomic, radiomic, clinical and pathological data in 200 patients with non small cell lung cancer to get a comprehensive view of each tumor and of its microenvironment. By mining these data, we will characterize each tumor using a multiscale approach, and will try to predict their response to immunotherapy using artificial intelligence methods. The goal is to get a prediction that would be accurate enough to be clinically useful for patient management.  

People involved in the lab : Hervé Brisse, Toulsie Ramtohul, Marie Luporsi, Nicolas Captier, Fanny Orlhac (co-responsible for the lab), Irène Buvat (co-responsible for the lab).

Publications :

  1. Captier N, Orlhac F, Hovhannisyan-Baghdasarian N, Luporsi M, Girard N, Buvat I. RadShap: an explanation tool for highlighting the contributions of multiple regions of interest to the prediction of radiomic models. J Nucl Med, 65:1307-1312, 2024. DOI: https://doi.org/10.2967/jnumed.124.267434
  2. Hovhannisyan-Baghdasarian N, Luporsi M, Captier N, Nioche C, Cuplov V, Woff E, Hegarat N, Livartowski A, Girard N, Buvat I, Orlhac F. New promising candidate prognostic biomarkers in [18F]FDG-PET images: evaluation in independent cohorts of NSCLC patients. J Nucl Med, 65:635-642, 2024. DOI: 10.2967/jnumed.123.266331