Prediction of Microsatellite Instability in Colorectal Cancer Using a Machine Learning Model Based on PET/CT Radiomics

PURPOSE: We investigated the feasibility of preoperative (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics with machine learning to predict microsatellite instability (MSI) status in colorectal cancer (CRC) patients. MATERIALS AND METHODS: Altogethe...

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Detalles Bibliográficos
Autores principales: Kim, Soyoung, Lee, Jae-Hoon, Park, Eun Jung, Lee, Hye Sun, Baik, Seung Hyuk, Jeon, Tae Joo, Lee, Kang Young, Ryu, Young Hoon, Kang, Jeonghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Yonsei University College of Medicine 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151228/
https://www.ncbi.nlm.nih.gov/pubmed/37114635
http://dx.doi.org/10.3349/ymj.2022.0548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151228/
https://www.ncbi.nlm.nih.gov/pubmed/37114635
http://dx.doi.org/10.3349/ymj.2022.0548

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