A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma

OBJECTIVE: To predict the status of microsatellite instability (MSI) of rectal carcinoma (RC) using different machine learning algorithms based on tumoral and peritumoral radiomics combined with clinicopathological characteristics. METHODS: There were 497 RC patients enrolled in this retrospective s...

Descripción completa

Detalles Bibliográficos
Autores principales: Yuan, Hang, Peng, Yu, Xu, Xiren, Tu, Shiliang, Wei, Yuguo, Ma, Yanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375564/
https://www.ncbi.nlm.nih.gov/pubmed/35971393
http://dx.doi.org/10.2147/CMAR.S377138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375564/
https://www.ncbi.nlm.nih.gov/pubmed/35971393
http://dx.doi.org/10.2147/CMAR.S377138

Ejemplares similares