Advanced Diagnosis of Glioma by Using Emerging Magnetic Resonance Sequences
Glioma, the most common primary brain tumor in adults, can be difficult to discern radiologically from other brain lesions, which affects surgical planning and follow-up treatment. Recent advances in MRI demonstrate that preoperative diagnosis of glioma has stepped into molecular and algorithm-assis...
Main Authors: | Ruo-Lun Wei, Xin-Ting Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-08-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2021.694498/full |
Similar Items
-
Evaluation of RANO Criteria for the Assessment of Tumor Progression for Lower-Grade Gliomas
by: Fabio Raman, et al.
Published: (2023-06-01) -
The combination of radiomics features and VASARI standard to predict glioma grade
by: Wei You, et al.
Published: (2023-03-01) -
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain
by: Anuj Kumar, et al.
Published: (2023-05-01) -
Clinically Explored Virus-Based Therapies for the Treatment of Recurrent High-Grade Glioma in Adults
by: Amanda V. Immidisetti, et al.
Published: (2021-02-01) -
A Radiomics Model for Predicting Early Recurrence in Grade II Gliomas Based on Preoperative Multiparametric Magnetic Resonance Imaging
by: Zhen-hua Wang, et al.
Published: (2021-09-01)