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Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness.
Bezzi C, Bergamini A, Mathoux G, Ghezzo S, Monaco L, Candotti G, Fallanca F, Gajate AMS, Rabaiotti E, Cioffi R, Bocciolone L, Gianolli L, Taccagni G, Candiani M, Mangili G, Mapelli P, Picchio M. Bezzi C, et al. Among authors: gianolli l. Cancers (Basel). 2023 Jan 3;15(1):325. doi: 10.3390/cancers15010325. Cancers (Basel). 2023. PMID: 36612321 Free PMC article.
PET/CT and breast cancer.
Zangheri B, Messa C, Picchio M, Gianolli L, Landoni C, Fazio F. Zangheri B, et al. Among authors: gianolli l. Eur J Nucl Med Mol Imaging. 2004 Jun;31 Suppl 1:S135-42. doi: 10.1007/s00259-004-1536-7. Epub 2004 May 5. Eur J Nucl Med Mol Imaging. 2004. PMID: 15133636 Review.
[11C]choline positron emission tomography/computerized tomography to restage prostate cancer cases with biochemical failure after radical prostatectomy and no disease evidence on conventional imaging.
Giovacchini G, Picchio M, Briganti A, Cozzarini C, Scattoni V, Salonia A, Landoni C, Gianolli L, Di Muzio N, Rigatti P, Montorsi F, Messa C. Giovacchini G, et al. Among authors: gianolli l. J Urol. 2010 Sep;184(3):938-43. doi: 10.1016/j.juro.2010.04.084. J Urol. 2010. PMID: 20643445
166 results