Skip to content

Opening book details…

Can I read 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 on EtoBox?

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 by Takuma Usuzaki; Kengo Takahashi; Ryusei Inamori; Yohei Morishita; Takashi Shizukuishi; Hidenobu Takagi; Mami Ishikuro; Taku Obara; Kei Takase is a Medicine article available to read on EtoBox.

What is 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 about?

## Purpose This study aimed to perform multimodal analysis by vision transformer (vViT) in predicting O6-methylguanine-DNA methyl transferase (MGMT) promoter status among adult patients with diffuse glioma using demographics (sex and age), radiomic features, and MRI. ## Methods The training and test datasets contained 122 patients with 1,570 images and 30 patients with 484 images, respectively. The radiomic features were extracted from enhancing tumors (ET), necrotic tumor cores (NCR), and the peritumoral edematous/infiltrated tissues (ED) using contrast-enhanced T1-weighted images (CE-T1WI) and T2-weighted images (T2WI). The vViT had 9 sectors; 1 demographic sector, 6 radiomic sectors (CE-T1WI ET, CE-T1WI NCR, CE-T1WI ED, T2WI ET, T2WI NCR, and T2WI ED), 2 image sectors (CE-T1WI, and T2WI). Accuracy and area under the curve of receiver-operating characteristics (AUC-ROC) were calculated for the test dataset. The performance of vViT was compared with AlexNet, GoogleNet, VGG16, and ResNet by McNemar and Delong test. Permutation importance (PI) analysis with the Mann–Whitney U test was performed. ## Results The accuracy was 0.833 (95% confidence interval [95%CI]: 0.714–0.877) and the

Who reads 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?

It is typically read by researchers, students, and practitioners in Medicine.

Author
Takuma Usuzaki; Kengo Takahashi; Ryusei Inamori; Yohei Morishita; Takashi Shizukuishi; Hidenobu Takagi; Mami Ishikuro; Taku Obara; Kei Takase
Publisher
Springer
Published
2024
Language
EN
Field
Medicine (Health Sciences)