Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features

INTRODUCTION: This study addresses the lack of systematic investigation into the prognostic value of hand‐crafted radiomic features derived from diffusion tensor imaging (DTI) in isocitrate dehydrogenase (IDH) wild‐type glioblastoma (GBM), as well as the limited understanding of the biological inter...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zilong, Guan, Fangzhan, Duan, Wenchao, Guo, Yu, Pei, Dongling, Qiu, Yuning, Wang, Minkai, Xing, Aoqi, Liu, Zhongyi, Yu, Bin, Zheng, Hongwei, Liu, Xianzhi, Yan, Dongming, Ji, Yuchen, Cheng, Jingliang, Yan, Jing, Zhang, Zhenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580329/
https://www.ncbi.nlm.nih.gov/pubmed/37222229
http://dx.doi.org/10.1111/cns.14263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580329/
https://www.ncbi.nlm.nih.gov/pubmed/37222229
http://dx.doi.org/10.1111/cns.14263

Ejemplares similares