Advanced diagnosis of glioma by using emerging magnetic resonance sequences

RL Wei, XT Wei - Frontiers in Oncology, 2021 - frontiersin.org
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 …

[HTML][HTML] Diagnostic accuracy of magnetic resonance spectroscopy in predicting the grade of glioma keeping histopathology as the gold standard

Z Rafique, MW Awan, S Iqbal, NN Usmani, MM Kamal… - Cureus, 2022 - ncbi.nlm.nih.gov
Background Gliomas are the most prevalent intrinsic tumors of the central nervous system
and are categorized from grade I to grade IV. Magnetic resonance imaging (MRI) provides …

MR-spectroscopic imaging of glial tumors in the spotlight of the 2016 WHO classification

E Diamandis, CPS Gabriel, U Würtemberger… - Journal of Neuro …, 2018 - Springer
Background The purpose of this study is to map spatial metabolite differences across three
molecular subgroups of glial tumors, defined by the IDH1/2 mutation and 1p19q-co-deletion …

Advanced MR imaging of gliomas: an update

HW Kao, SW Chiang, HW Chung… - BioMed research …, 2013 - Wiley Online Library
Recent advances in the treatment of cerebral gliomas have increased the demands on
noninvasive neuroimaging for the diagnosis, therapeutic planning, tumor monitoring, and …

Semi-automated glioblastoma tumor detection based on different classifiers using magnetic resonance spectroscopy

A Faramarzi, N Loghmani… - Frontiers in …, 2021 - publish.kne-publishing.com
Purpose: Glioblastoma Multiform (GBM) is one of the most common and deadly malignant
brain tumors. Surgery is the primary treatment, and careful surgery can minimize recurrence …

Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients

S Rathore, H Akbari, S Bakas, JM Pisapia… - Frontiers in …, 2019 - frontiersin.org
Glioblastoma, the most frequent primary malignant brain neoplasm, is genetically diverse
and classified into four transcriptomic subtypes, ie, classical, mesenchymal, proneural, and …

Quantitative MRI-based radiomics for noninvasively predicting molecular subtypes and survival in glioma patients

J Yan, B Zhang, S Zhang, J Cheng, X Liu… - NPJ Precision …, 2021 - nature.com
Gliomas can be classified into five molecular groups based on the status of IDH mutation,
1p/19q codeletion, and TERT promoter mutation, whereas they need to be obtained by …

Preoperative magnetic resonance imaging radiomics for predicting early recurrence of glioblastoma

J Wang, X Yi, Y Fu, P Pang, H Deng, H Tang… - Frontiers in …, 2021 - frontiersin.org
Purpose Early recurrence of glioblastoma after standard treatment makes patient care
challenging. This study aimed to assess preoperative magnetic resonance imaging (MRI) …

A survey of radiomics in precision diagnosis and treatment of adult gliomas

P Du, H Chen, K Lv, D Geng - Journal of Clinical Medicine, 2022 - mdpi.com
Glioma is the most common primary malignant tumor of the adult central nervous system
(CNS), which mostly shows invasive growth. In most cases, surgery is often difficult to …

Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors

F Moodi, F Khodadadi Shoushtari… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Glioma grading transformed in World Health Organization (WHO) 2021 CNS
tumor classification, integrating molecular markers. However, the impact of this change on …