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- Title
Radiomics can predict tumour response in patients treated with Nivolumab for a metastatic renal cell carcinoma: an artificial intelligence concept.
- Authors
Khene, Zine‐Eddine; Mathieu, Romain; Peyronnet, Benoit; Kokorian, Romain; Gasmi, Anis; Khene, Fares; Rioux-Leclercq, Nathalie; Kammerer-Jacquet, Solène-Florence; Shariat, Shahrokh; Laguerre, Brigitte; Bensalah, Karim
- Abstract
We believe that radiomics is a promising approach to predict tumour response in mRCC patients treated with nivolumab. Keywords: Radiomics; Kidney cancer; Renal cell carcinoma; Immunotherapy; Machine learning; Prediction model EN Radiomics Kidney cancer Renal cell carcinoma Immunotherapy Machine learning Prediction model 3707 3709 3 10/14/21 20210901 NES 210901 Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00345-020-03334-5) contains supplementary material, which is available to authorized users. In this study, we used artificial intelligence tools to build algorithms based on radiomics parameters to predict tumour response in a cohort of patients with mRCC treated with nivolumab.
- Subjects
RENAL cell carcinoma; ARTIFICIAL intelligence; RADIOMICS; ARTIFICIAL cells; NIVOLUMAB; IMMUNOTHERAPY; CLINICAL prediction rules; FEATURE extraction
- Publication
World Journal of Urology, 2021, Vol 39, Issue 9, p3707
- ISSN
0724-4983
- Publication type
Article
- DOI
10.1007/s00345-020-03334-5