Predicting the recurrence risk of pancreatic neuroendocrine neoplasms after radical resection using deep learning radiomics with preoperative computed tomography images

BACKGROUND: To establish and validate a prediction model for pancreatic neuroendocrine neoplasms (pNENs) recurrence after radical surgery with preoperative computed tomography (CT) images. METHODS: We retrospectively collected data from 74 patients with pathologically confirmed pNENs (internal group...

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Detalles Bibliográficos
Autores principales: Song, Chenyu, Wang, Mingyu, Luo, Yanji, Chen, Jie, Peng, Zhenpeng, Wang, Yangdi, Zhang, Hongyuan, Li, Zi-Ping, Shen, Jingxian, Huang, Bingsheng, Feng, Shi-Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184461/
https://www.ncbi.nlm.nih.gov/pubmed/34164467
http://dx.doi.org/10.21037/atm-21-25

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184461/
https://www.ncbi.nlm.nih.gov/pubmed/34164467
http://dx.doi.org/10.21037/atm-21-25

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