A Machine Learning Approach Using FDG PET-Based Radiomics for Prediction of Tumor Mutational Burden and Prognosis in Stage IV Colorectal Cancer

SIMPLE SUMMARY: In this study, we explored the potential of using F-18 fluorodeoxyglucose positron emission tomography (FDG PET), to predict the genetic characteristics and prognosis of patients with stage IV colorectal cancer. We used a machine learning approach to analyze association between image...

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Detalles Bibliográficos
Autores principales: Lee, Hyunjong, Moon, Seung Hwan, Hong, Jung Yong, Lee, Jeeyun, Hyun, Seung Hyup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416826/
https://www.ncbi.nlm.nih.gov/pubmed/37568657
http://dx.doi.org/10.3390/cancers15153841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416826/
https://www.ncbi.nlm.nih.gov/pubmed/37568657
http://dx.doi.org/10.3390/cancers15153841

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