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Multicentric development and evaluation of 18F-FDG PET/CT and MRI radiomics models to predict para-aortic lymph node involvement in locally advanced cervical cancer

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Lucia, François | Bourbonne, Vincent | Pleyers, Clémence | Dupré, Pierre-François | Miranda, Omar | Visvikis, Dimitris | Pradier, Olivier | Abgral, Ronan | Mervoyer, Augustin | Classe, Jean-Marc | Rousseau, Caroline | Vos, Wim | Hermesse, Johanne | Gennigens, Christine | de Cuypere, Marjolein | Kridelka, Frédéric | Schick, Ulrike | Hatt, Mathieu | Hustinx, Roland | Lovinfosse, Pierre

Edité par CCSD ; Springer Verlag (Germany) [1976-....] -

International audience. To develop machine learning models to predict para-aortic lymph node (PALN) involvement in patients with locally advanced cervical cancer (LACC) before chemoradiotherapy (CRT) using 18F-FDG PET/CT and MRI radiomics combined with clinical parameters.

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