Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma?
Introduction: Epidermal growth factor receptor (EGFR) amplification predicts poor survival in patients with brain gliomas. Purpose: This study aimed to evaluate whether EGFR amplification status can be predicted using radiomics data from dynamic PET scanning with 11C-methionine. Materials and Metho...
Saved in:
| Main Authors: | Gleb DANILOV, Andrey POSTNOV, Diana KALAEVA, Nina VIKHROVA, Tatyana KOBYAKOVA |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2024-11-01
|
| Series: | Applied Medical Informatics |
| Subjects: | |
| Online Access: | https://ami.info.umfcluj.ro/index.php/AMI/article/view/1072 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interobserver ground-truth variability limits performance of automated glioblastoma segmentation on [18F]FET PET
by: Selene De Sutter, et al.
Published: (2025-06-01) -
Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate
by: Simran Singh Dhesi, et al.
Published: (2025-02-01) -
Comparison of Radiomics and conventional SUVr methods for Alzheimer’s disease classification using AV45 PET imaging
by: Haiyan Gao, et al.
Published: (2025-08-01) -
Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma
by: Jianpeng Liu, et al.
Published: (2025-07-01) -
Two-grade metabolic tumour tissue assessment using positron emission tomography in prediction of overall survival in glioblastoma patients
by: Lučić Silvija, et al.
Published: (2021-01-01)