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Page 1
Nomogram for predicting radiation maculopathy in patients treated with Ruthenium-106 plaque brachytherapy for uveal melanoma.
Tagliaferri L, Pagliara MM, Masciocchi C, Scupola A, Azario L, Grimaldi G, Autorino R, Gambacorta MA, Laricchiuta A, Boldrini L, Valentini V, Blasi MA. Tagliaferri L, et al. Among authors: masciocchi c. J Contemp Brachytherapy. 2017 Dec;9(6):540-547. doi: 10.5114/jcb.2017.71795. Epub 2017 Dec 30. J Contemp Brachytherapy. 2017. PMID: 29441098 Free PMC article.
Integrating Downstaging in the Risk Assessment of Patients With Locally Advanced Rectal Cancer Treated With Neoadjuvant Chemoradiotherapy: Validation of Valentini's Nomograms and the Neoadjuvant Rectal Score.
Roselló S, Frasson M, García-Granero E, Roda D, Jordá E, Navarro S, Campos S, Esclápez P, García-Botello S, Flor B, Espí A, Masciocchi C, Valentini V, Cervantes A. Roselló S, et al. Among authors: masciocchi c. Clin Colorectal Cancer. 2018 Jun;17(2):104-112.e2. doi: 10.1016/j.clcc.2017.10.014. Epub 2017 Oct 28. Clin Colorectal Cancer. 2018. PMID: 29162332
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer.
Cusumano D, Dinapoli N, Boldrini L, Chiloiro G, Gatta R, Masciocchi C, Lenkowicz J, Casà C, Damiani A, Azario L, Van Soest J, Dekker A, Lambin P, De Spirito M, Valentini V. Cusumano D, et al. Among authors: masciocchi c. Radiol Med. 2018 Apr;123(4):286-295. doi: 10.1007/s11547-017-0838-3. Epub 2017 Dec 11. Radiol Med. 2018. PMID: 29230678
Time to surgery and pathologic complete response after neoadjuvant chemoradiation in rectal cancer: A population study on 2094 patients.
Macchia G, Gambacorta MA, Masciocchi C, Chiloiro G, Mantello G, di Benedetto M, Lupattelli M, Palazzari E, Belgioia L, Bacigalupo A, Sainato A, Montrone S, Turri L, Caroli A, De Paoli A, Matrone F, Capirci C, Montesi G, Niespolo RM, Osti MF, Caravatta L, Galardi A, Genovesi D, Rosetto ME, Boso C, Sciacero P, Giaccherini L, Parisi S, Fontana A, Filippone FR, Picardi V, Morganti AG, Valentini V. Macchia G, et al. Among authors: masciocchi c. Clin Transl Radiat Oncol. 2017 May 17;4:8-14. doi: 10.1016/j.ctro.2017.04.004. eCollection 2017 Jun. Clin Transl Radiat Oncol. 2017. PMID: 29594202 Free PMC article.
Magnetic Resonance, Vendor-independent, Intensity Histogram Analysis Predicting Pathologic Complete Response After Radiochemotherapy of Rectal Cancer.
Dinapoli N, Barbaro B, Gatta R, Chiloiro G, Casà C, Masciocchi C, Damiani A, Boldrini L, Gambacorta MA, Dezio M, Mattiucci GC, Balducci M, van Soest J, Dekker A, Lambin P, Fiorino C, Sini C, De Cobelli F, Di Muzio N, Gumina C, Passoni P, Manfredi R, Valentini V. Dinapoli N, et al. Among authors: masciocchi c. Int J Radiat Oncol Biol Phys. 2018 Nov 15;102(4):765-774. doi: 10.1016/j.ijrobp.2018.04.065. Epub 2018 May 4. Int J Radiat Oncol Biol Phys. 2018. PMID: 29891200
Towards a modular decision support system for radiomics: A case study on rectal cancer.
Gatta R, Vallati M, Dinapoli N, Masciocchi C, Lenkowicz J, Cusumano D, Casá C, Farchione A, Damiani A, van Soest J, Dekker A, Valentini V. Gatta R, et al. Among authors: masciocchi c. Artif Intell Med. 2019 May;96:145-153. doi: 10.1016/j.artmed.2018.09.003. Epub 2018 Oct 4. Artif Intell Med. 2019. PMID: 30292538
Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach.
Boldrini L, Cusumano D, Chiloiro G, Casà C, Masciocchi C, Lenkowicz J, Cellini F, Dinapoli N, Azario L, Teodoli S, Gambacorta MA, De Spirito M, Valentini V. Boldrini L, et al. Among authors: masciocchi c. Radiol Med. 2019 Feb;124(2):145-153. doi: 10.1007/s11547-018-0951-y. Epub 2018 Oct 29. Radiol Med. 2019. PMID: 30374650 Free PMC article.
Deep Learning: A Review for the Radiation Oncologist.
Boldrini L, Bibault JE, Masciocchi C, Shen Y, Bittner MI. Boldrini L, et al. Among authors: masciocchi c. Front Oncol. 2019 Oct 1;9:977. doi: 10.3389/fonc.2019.00977. eCollection 2019. Front Oncol. 2019. PMID: 31632910 Free PMC article. Review.
Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis-usefulness of density correction of volumetric CT data.
Farchione A, Larici AR, Masciocchi C, Cicchetti G, Congedo MT, Franchi P, Gatta R, Lo Cicero S, Valentini V, Bonomo L, Manfredi R. Farchione A, et al. Among authors: masciocchi c. Radiol Med. 2020 Jul;125(7):625-635. doi: 10.1007/s11547-020-01157-3. Epub 2020 Mar 3. Radiol Med. 2020. PMID: 32125637
SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology: The first step towards interdisciplinary standardized data collection for personalized oncology in skin cancer.
Lancellotta V, Guinot JL, Fionda B, Rembielak A, Di Stefani A, Gentileschi S, Federico F, Rossi E, Guix B, Chyrek AJ, Meritxell A, Villalba SR, Colloca GF, Dinapoli N, Masciocchi C, Lenkowicz J, Capocchiano ND, Damiani A, Valentini V, Kovács G, Tagliaferri L. Lancellotta V, et al. Among authors: masciocchi c. J Contemp Brachytherapy. 2020 Apr;12(2):105-110. doi: 10.5114/jcb.2020.94579. Epub 2020 Apr 30. J Contemp Brachytherapy. 2020. PMID: 32395133 Free PMC article.
298 results