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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...

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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

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