Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients

BACKGROUND: The purpose of this study was to investigate and validate multiparametric magnetic resonance imaging (MRI)-based machine learning classifiers for early identification of poor responders after neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer (LARC). MET...

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Detalles Bibliográficos
Autores principales: Wang, Jia, Chen, Jingjing, Zhou, Ruizhi, Gao, Yuanxiang, Li, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017030/
https://www.ncbi.nlm.nih.gov/pubmed/35439946
http://dx.doi.org/10.1186/s12885-022-09518-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017030/
https://www.ncbi.nlm.nih.gov/pubmed/35439946
http://dx.doi.org/10.1186/s12885-022-09518-z

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