Predicting isocitrate dehydrogenase genotype, histological phenotype, and Ki-67 expression level in diffuse gliomas with an advanced contrast analysis of magnetic resonance imaging sequences

BACKGROUND: The present study aimed to establish a robust predictive model based on a machine learning (ML) algorithm providing preoperative noninvasive diagnosis and to further explore the contribution of each magnetic resonance imaging (MRI) sequence to the classification to help select images for...

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Detalles Bibliográficos
Autores principales: Cui, Yuanyuan, Dang, Yixuan, Zhang, Hao, Peng, Hong, Zhang, Jun, Li, Jinhang, Shen, Peiyi, Mao, Cuiping, Ma, Lin, Zhang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240019/
https://www.ncbi.nlm.nih.gov/pubmed/37284074
http://dx.doi.org/10.21037/qims-22-887

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