Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Prognostic value of computed tomography radiomics features in patients with gastric neuroendocrine neoplasm
por: Yang, Zhi-hao, et al.
Publicado: (2023) -
Preoperative recurrence prediction in pancreatic ductal adenocarcinoma after radical resection using radiomics of diagnostic computed tomography
por: Li, Xiawei, et al.
Publicado: (2021) -
Preoperative differentiation of pancreatic cystic neoplasm subtypes on computed tomography radiomics
por: Zhang, Yifan, et al.
Publicado: (2023) -
Prognostic Assessment of Gastropancreatic Neuroendocrine Neoplasm: Prospects and Limits of Radiomics
por: De Muzio, Federica, et al.
Publicado: (2023) -
The Mutational, Prognostic, and Therapeutic Landscape of Neuroendocrine Neoplasms
por: Liu, Man, et al.
Publicado: (2023)