5‐ALA in the management of malignant glioma

H Stepp, W Stummer - Lasers in surgery and medicine, 2018 - Wiley Online Library
Background Patients suffering from malignant gliomas have a poor prognosis. For the
surgical treatment of these tumors, 5‐aminolevulinic acid (5‐ALA) has become a new …

Imaging prediction of isocitrate dehydrogenase (IDH) mutation in patients with glioma: a systemic review and meta-analysis

CH Suh, HS Kim, SC Jung, CG Choi, SJ Kim - European radiology, 2019 - Springer
Objectives To evaluate the imaging features of isocitrate dehydrogenase (IDH) mutant
glioma and to assess the diagnostic performance of magnetic resonance imaging (MRI) for …

Neuro-oncology and radiogenomics: time to integrate?

A Lasocki, MA Rosenthal… - American Journal …, 2020 - Am Soc Neuroradiology
Radiogenomics aims to predict genetic markers based on imaging features. The critical
importance of molecular markers in the diagnosis and management of intracranial gliomas …

[HTML][HTML] Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis

RW Jansen, P van Amstel, RM Martens, IE Kooi… - Oncotarget, 2018 - ncbi.nlm.nih.gov
With targeted treatments playing an increasing role in oncology, the need arises for fast non-
invasive genotyping in clinical practice. Radiogenomics is a rapidly evolving field of …

Diagnostic accuracy and potential covariates for machine learning to identify IDH mutations in glioma patients: evidence from a meta-analysis

J Zhao, Y Huang, Y Song, D Xie, M Hu, H Qiu… - European Radiology, 2020 - Springer
Objectives To assess the diagnostic accuracy of machine learning (ML) in predicting
isocitrate dehydrogenase (IDH) mutations in patients with glioma and to identify potential …

[HTML][HTML] Diffusion weighted imaging in neuro-oncology: Diagnosis, post-treatment changes, and advanced sequences—an updated review

A Romano, S Palizzi, A Romano, G Moltoni… - Cancers, 2023 - mdpi.com
Simple Summary Differential diagnosis among primary and secondary central nervous
system tumors, the assessment of tumoral therapy response, the correlation between …

CloudBrain-MRS: An intelligent cloud computing platform for in vivo magnetic resonance spectroscopy preprocessing, quantification, and analysis

X Chen, J Li, D Chen, Y Zhou, Z Tu, M Lin… - Journal of Magnetic …, 2024 - Elsevier
Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for
diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites …

[HTML][HTML] Preoperative and noninvasive prediction of gliomas histopathological grades and IDH molecular types using multiple MRI characteristics

N Du, X Zhou, R Mao, W Shu, L Xiao, Y Ye, X Xu… - Frontiers in …, 2022 - frontiersin.org
Background and Purpose Gliomas are one of the most common tumors in the central
nervous system. This study aimed to explore the correlation between MRI morphological …

Automated apparent diffusion coefficient analysis for genotype prediction in lower grade glioma: association with the T2-FLAIR mismatch sign

E Aliotta, SW Dutta, X Feng, NJ Tustison… - Journal of neuro …, 2020 - Springer
Purpose The prognosis of lower grade glioma (LGG) patients depends (in large part) on
both isocitrate dehydrogenase (IDH) gene mutation and chromosome 1p/19q codeletion …

Molecular subtype classification in lower-grade glioma with accelerated DTI

E Aliotta, H Nourzadeh, PP Batchala… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Image-based classification of lower-grade glioma
molecular subtypes has substantial prognostic value. Diffusion tensor imaging has shown …