Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer.

Takuma UsuzakiKengo TakahashiRyusei InamoriYohei MorishitaTakashi ShizukuishiHidenobu TakagiMami IshikuroTaku ObaraKei Takase

Published in: Neuroradiology (2024)

The vViT is a competent deep learning model in predicting MGMT status. The ED radiomic features of the T2-weighted image demonstrated the most dominant contribution.

Keyphrases

deep learning
contrast enhanced
magnetic resonance imaging
emergency department
magnetic resonance
artificial intelligence
circulating tumor
computed tomography
machine learning
cell free
convolutional neural network
pain management
lymph node metastasis
squamous cell carcinoma
network analysis
chronic pain