Radiomic analysis for predicting prognosis of colorectal cancer from preoperative (18)F-FDG PET/CT

BACKGROUND: To develop and validate a survival model with clinico-biological features and (18)F- FDG PET/CT radiomic features via machine learning, and for predicting the prognosis from the primary tumor of colorectal cancer. METHODS: A total of 196 pathologically confirmed patients with colorectal...

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Detalles Bibliográficos
Autores principales: Lv, Lilang, Xin, Bowen, Hao, Yichao, Yang, Ziyi, Xu, Junyan, Wang, Lisheng, Wang, Xiuying, Song, Shaoli, Guo, Xiaomao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812058/
https://www.ncbi.nlm.nih.gov/pubmed/35109864
http://dx.doi.org/10.1186/s12967-022-03262-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8812058/
https://www.ncbi.nlm.nih.gov/pubmed/35109864
http://dx.doi.org/10.1186/s12967-022-03262-5

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