C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi, C Robert, C Pellot-Barakat, M Soussan, F Frouin, and I Buvat. LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Research 2018; 78(16):4786-4789
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Aim of the project:
Our project is to develop an application that will enable the evaluation, in a multicenter, of radiomic or AI models proposed for the management of lung cancer patients. Multicenter validation of models remains indeed essential to consider their clinical use.
Methods:
This application will actually be a new module added to LIFEx, a software we are developing, to easily describe a radiomic model. As for any module of this application, the libraries used will guarantee that the application remains free and autonomous (i.e. without installation of third party software). Interfacing with the ConSoRe platform, which is a Unicancer's Big Data platform, will later make it possible to combine features extracted from medical images and text included in the medical reports.
Impact:
The main benefit will be to give medical teams a tool to evaluate radiomic and AI models on their own data, using models that have already been published or developed by colleagues. This large-scale, multicenter validation step provides information on the reliability and robustness of the models and is absolutely essential for clinical translation.
Problem to be solved:
If the field of radiomics and AI in radiology and nuclear medicine is growing exponentially, the current major bottleneck is the difficulty to validate the many published models in order to establish their performance and clinical added value. Our project will make this evaluation possible in an independent way, via a public software guaranteeing the transparency of the results.
Target users:
Our project will serve both the current users of LIFEx (10 Unicancer centers already use LIFEx, the 3600 users worldwide, including more than 700 in France) and future LIFEx users, given that we have about 100 new users every month. These are mainly radiologists, nuclear physicians, researchers and engineers involved in medical image analysis.
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| MIP PET/CT | MIP PET/ROI | MIP PET |
LIFEx reads DICOM images locally or over a network using a DICOM browser and includes a powerful 3D reconstruction-based slice viewer. Volume of interest (VOI) can be either imported from previously created files or drawn and manipulated using LIFEx. Results are exported in Excel format files. LIFEx runs on Windows, MacOs and Linux. It is distributed with examples and includes a tutorial. User support is offered. Users can optionally contribute to the gathering of index values in different tissue types and different images as a public data bank of reference values is currently being built and integrated to the software for assisting the users with the interpretation of their results.
Download here : Download
Texture protocol : Christophe Nioche, Fanny Orlhac, Irène Buvat
MTV protocol: Christophe Nioche, Anne-Ségolène Cottereau, Irène Buvat
DSC-MR protocol: Christophe Nioche, Sandrine Desmidt, Frédérique Frouin
Labeling protocol : Christophe Nioche, Fanny Orlhac, Irène Buvat
LITO, CEA, Inserm, CNRS, Univ. Paris-Sud, Université Paris Saclay
Acknowledgments: Sylvain Reuze, Sarah Boughdad, Maya Khalifé
LITO
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