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

Zilong WangFangzhan GuanWenchao DuanYu GuoDongling PeiYuning QiuMinkai WangAoqi XingZhongyi LiuBin YuHongwei ZhengXianzhi LiuDongming YanYuchen JiJingliang ChengJing YanZhenyu Zhang

Published in: CNS neuroscience & therapeutics (2023)

The prognostic radiomic features derived from DTI are driven by distinct pathways involved in synapse, proliferation, DNA damage response, and complex cellular functions of GBM.

Keyphrases

wild type
dna damage response
machine learning
dna repair
signaling pathway
genome wide
artificial intelligence
white matter
multiple sclerosis
oxidative stress
deep learning