Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Samantha Bove"'
Autor:
Maria Colomba Comes, Livia Fucci, Sabino Strippoli, Samantha Bove, Gerardo Cazzato, Carmen Colangiuli, Ivana De Risi, Ileana De Roma, Annarita Fanizzi, Fabio Mele, Maurizio Ressa, Concetta Saponaro, Clara Soranno, Rosita Tinelli, Michele Guida, Alfredo Zito, Raffaella Massafra
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-11 (2024)
Abstract Background Risk stratification and treatment benefit prediction models are urgent to improve negative sentinel lymph node (SLN-) melanoma patient selection, thus avoiding costly and toxic treatments in patients at low risk of recurrence. To
Externí odkaz:
https://doaj.org/article/95ad4c7525344afab6eec62c16a1a0f7
Autor:
Annarita Fanizzi, Maria Colomba Comes, Samantha Bove, Elisa Cavalera, Paola de Franco, Alessia Di Rito, Angelo Errico, Marco Lioce, Francesca Pati, Maurizio Portaluri, Concetta Saponaro, Giovanni Scognamillo, Ippolito Troiano, Michele Troiano, Francesco Alfredo Zito, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Several studies have emphasised how positive and negative human papillomavirus (HPV+ and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct molecular profiles, tumor characteristics, and disease outcomes. Differ
Externí odkaz:
https://doaj.org/article/3a58af39bb7947f98b520802b8a424b4
Autor:
Annarita Fanizzi, Annamaria Catino, Samantha Bove, Maria Colomba Comes, Michele Montrone, Angela Sicolo, Rahel Signorile, Pia Perrotti, Pamela Pizzutilo, Domenico Galetta, Raffaella Massafra
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionMalignant pleural mesothelioma (MPM) is a poor-prognosis disease. Owing to the recent availability of new therapeutic options, there is a need to better assess prognosis. The initial clinical response could represent a useful parameter.Me
Externí odkaz:
https://doaj.org/article/3b046e21ce07461792ec79d50f98d1aa
Autor:
Annarita Fanizzi, Francesca Arezzo, Gennaro Cormio, Maria Colomba Comes, Gerardo Cazzato, Luca Boldrini, Samantha Bove, Michele Bollino, Anila Kardhashi, Erica Silvestris, Pietro Quarto, Michele Mongelli, Emanuele Naglieri, Rahel Signorile, Vera Loizzi, Raffaella Massafra
Publikováno v:
Cancer Medicine, Vol 13, Iss 12, Pp n/a-n/a (2024)
Abstract Background Accurate characterization of newly diagnosed a solid adnexal lesion is a key step in defining the most appropriate therapeutic approach. Despite guidance from the International Ovarian Tumor Analyzes Panel, the evaluation of these
Externí odkaz:
https://doaj.org/article/44af02c27261412ca746736e2556be09
Autor:
Annarita Fanizzi, Agnese Latorre, Domenica Antonia Bavaro, Samantha Bove, Maria Colomba Comes, Erika Francesca Di Benedetto, Federico Fadda, Daniele La Forgia, Francesco Giotta, Gennaro Palmiotti, Nicole Petruzzellis, Lucia Rinaldi, Alessandro Rizzo, Vito Lorusso, Raffaella Massafra
Publikováno v:
Cancer Medicine, Vol 12, Iss 22, Pp 20663-20669 (2023)
Abstract Background About 15%–20% of breast cancer (BC) cases is classified as Human Epidermal growth factor Receptor type 2 (HER2) positive. The Neoadjuvant chemotherapy (NAC) was initially introduced for locally advanced and inflammatory BC patie
Externí odkaz:
https://doaj.org/article/09ceace074754b4d818a5d03705312d5
Autor:
Annarita Fanizzi, Federico Fadda, Maria Colomba Comes, Samantha Bove, Annamaria Catino, Erika Di Benedetto, Angelo Milella, Michele Montrone, Annalisa Nardone, Clara Soranno, Alessandro Rizzo, Deniz Can Guven, Domenico Galetta, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Non-Small cell lung cancer (NSCLC) is one of the most dangerous cancers, with 85% of all new lung cancer diagnoses and a 30–55% of recurrence rate after surgery. Thus, an accurate prediction of recurrence risk in NSCLC patients during diag
Externí odkaz:
https://doaj.org/article/355cb18e617c4a91bae039c14b60162d
Autor:
Elsa Vitale, Karen Avino, Rocco Mea, Maria Colomba Comes, Samantha Bove, Luana Conte, Roberto Lupo, Ivan Rubbi, Maicol Carvello, Stefano Botti, Giorgio De Nunzio, Raffaella Massafra
Publikováno v:
Healthcare, Vol 12, Iss 15, p 1535 (2024)
Background: Oncology nurses support cancer patients in meeting their self-care needs, often neglecting their own emotions and self-care needs. This study aims to investigate the variations in the five facets of holistic mindfulness among Italian onco
Externí odkaz:
https://doaj.org/article/33154a7ea904481fbfafb01b5e297204
Autor:
Annarita Fanizzi, Elisabetta Graps, Domenica Antonia Bavaro, Marco Farella, Samantha Bove, Francesco Campobasso, Maria Colomba Comes, Cristian Cristofaro, Daniele La Forgia, Martina Milella, Serena Iacovelli, Rossella Villani, Rahel Signorile, Alessio De Bartolo, Vito Lorusso, Raffaella Massafra
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background A timely diagnosis is essential for improving breast cancer patients’ survival and designing targeted therapeutic plans. For this purpose, the screening timing, as well as the related waiting lists, are decisive. Nonetheless, ev
Externí odkaz:
https://doaj.org/article/b59197b746434e709dda2aa41325ece7
Autor:
Annarita Fanizzi, Domenico Pomarico, Alessandro Rizzo, Samantha Bove, Maria Colomba Comes, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena, Nicole Petruzzellis, Lucia Rinaldi, Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract For endocrine-positive Her2 negative breast cancer patients at an early stage, the benefit of adding chemotherapy to adjuvant endocrine therapy is not still confirmed. Several genomic tests are available on the market but are very expensive.
Externí odkaz:
https://doaj.org/article/b56ee393ea0943caa915c1041b0d325d
Autor:
Maria Colomba Comes, Livia Fucci, Fabio Mele, Samantha Bove, Cristian Cristofaro, Ivana De Risi, Annarita Fanizzi, Martina Milella, Sabino Strippoli, Alfredo Zito, Michele Guida, Raffaella Massafra
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free
Externí odkaz:
https://doaj.org/article/79ab25ca515d423ea61cbbe39ed05d5e