End of induction [¹⁸F]FDG PET is prognostic for progression-free survival and overall survival in follicular lymphoma patients enrolled in the FOLL12 trial.

Autor: Guerra, Luca, Chauvie, Stephane, Fallanca, Federico, Bergesio, Fabrizio, Marcheselli, Luigi, Durmo, Rexhep, Peano, Simona, Franceschetto, Antonella, Monaco, Lavinia, Barbieri, Emiliano, Ladetto, Marco, Musuraca, Gerardo, Tosi, Patrizia, Bianchi, Benedetta, Bolis, Silvia Anna Maria, Pavone, Vincenzo, Chiarenza, Annalisa, Arcari, Annalisa, Califano, Catello, Bari, Alessia

Publikováno v: European Journal of Nuclear Medicine & Molecular Imaging; Sep2024, Vol. 51 Issue 11, p3311-3321, 11p

The "digital biopsy" in non-small cell lung cancer (NSCLC): a pilot study to predict the PD-L1 status from radiomics features of [18F]FDG PET/CT.

Autor: Monaco, Lavinia¹ (AUTHOR) laviniamonaco92@gmail.com, De Bernardi, Elisabetta^1,2 (AUTHOR), Bono, Francesca³ (AUTHOR), Cortinovis, Diego⁴ (AUTHOR), Crivellaro, Cinzia⁵ (AUTHOR), Elisei, Federica⁵ (AUTHOR), L'Imperio, Vincenzo³ (AUTHOR), Landoni, Claudio^1,5 (AUTHOR), Mathoux, Gregory¹ (AUTHOR), Musarra, Monica⁵ (AUTHOR), Pagni, Fabio³ (AUTHOR), Turolla, Elia Anna^1,6 (AUTHOR), Messa, Cristina¹ (AUTHOR), Guerra, Luca^1,5 (AUTHOR)

Publikováno v: European Journal of Nuclear Medicine & Molecular Imaging. Aug2022, Vol. 49 Issue 10, p3401-3411. 11p. 2 Diagrams, 2 Charts, 2 Graphs.

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Role of Machine Learning (ML)-Based Classification Using Conventional 18 F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness.

Autor: Bezzi, Carolina, Bergamini, Alice, Mathoux, Gregory, Ghezzo, Samuele, Monaco, Lavinia, Candotti, Giorgio, Fallanca, Federico, Gajate, Ana Maria Samanes, Rabaiotti, Emanuela, Cioffi, Raffaella, Bocciolone, Luca, Gianolli, Luigi, Taccagni, GianLuca, Candiani, Massimo, Mangili, Giorgia, Mapelli, Paola, Picchio, Maria

Publikováno v: Cancers; Jan2023, Vol. 15 Issue 1, p325, 17p