New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
Abstract Gliomas and Glioblastomas represent a significant portion of central nervous system (CNS) tumors associated with high mortality rates and variable prognosis. In 2021, the World Health Organization (WHO) updated its Glioma classification criteria, most notably incorporating molecular markers...
Saved in:
| Main Authors: | Gagandeep Singh, Annie Singh, Joseph Bae, Sunil Manjila, Vadim Spektor, Prateek Prasanna, Angela Lignelli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-10-01
|
| Series: | Cancer Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40644-024-00769-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas
by: Sohil Reddy, et al.
Published: (2025-07-01) -
Radiomics and radiogenomics in intrahepatic cholangiocarcinoma
by: A. D. Smirnova, et al.
Published: (2024-03-01) -
Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer
by: Song Zeng, et al.
Published: (2024-12-01) -
Radiogenomics and machine learning predict oncogenic signaling pathways in glioblastoma
by: Abdul Basit Ahanger, et al.
Published: (2025-01-01) -
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)