Automated Analysis of Proliferating Cells Spatial Organisation Predicts Prognosis in Lung Neuroendocrine Neoplasms

SIMPLE SUMMARY: Lung neuroendocrine neoplasms (lung NENs) are categorised by morphology, defining a classification sometimes unable to reflect ultimate clinical outcome, particularly for the intermediate domains of adenocarcinomas and large-cell neuroendocrine carcinomas. Moreover, subjectivity and...

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Detalles Bibliográficos
Autores principales: Bulloni, Matteo, Sandrini, Giada, Stacchiotti, Irene, Barberis, Massimo, Calabrese, Fiorella, Carvalho, Lina, Fontanini, Gabriella, Alì, Greta, Fortarezza, Francesco, Hofman, Paul, Hofman, Veronique, Kern, Izidor, Maiorano, Eugenio, Maragliano, Roberta, Marchiori, Deborah, Metovic, Jasna, Papotti, Mauro, Pezzuto, Federica, Pisa, Eleonora, Remmelink, Myriam, Serio, Gabriella, Marzullo, Andrea, Trabucco, Senia Maria Rosaria, Pennella, Antonio, De Palma, Angela, Marulli, Giuseppe, Fassina, Ambrogio, Maffeis, Valeria, Nesi, Gabriella, Naheed, Salma, Rea, Federico, Ottensmeier, Christian H., Sessa, Fausto, Uccella, Silvia, Pelosi, Giuseppe, Pattini, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508355/
https://www.ncbi.nlm.nih.gov/pubmed/34638359
http://dx.doi.org/10.3390/cancers13194875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508355/
https://www.ncbi.nlm.nih.gov/pubmed/34638359
http://dx.doi.org/10.3390/cancers13194875

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