A quantitative SVM approach potentially improves the accuracy of magnetic resonance spectroscopy in the preoperative evaluation of the grades of diffuse gliomas

OBJECTIVES: To investigate the association between proton magnetic resonance spectroscopy ((1)H-MRS) metabolic features and the grade of gliomas, and to establish a machine-learning model to predict the glioma grade. METHODS: This study included 112 glioma patients who were divided into the training...

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Detalles Bibliográficos
Autores principales: Qi, Chong, Li, Yiming, Fan, Xing, Jiang, Yin, Wang, Rui, Yang, Song, Meng, Lanxi, Jiang, Tao, Li, Shaowu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487359/
https://www.ncbi.nlm.nih.gov/pubmed/31035232
http://dx.doi.org/10.1016/j.nicl.2019.101835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487359/
https://www.ncbi.nlm.nih.gov/pubmed/31035232
http://dx.doi.org/10.1016/j.nicl.2019.101835

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