Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …
survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for …
The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 1—Key Points of the Fifth Edition and Summary of Imaging Findings on Adult …
YW Park, P Vollmuth, M Foltyn‐Dumitru… - Journal of Magnetic …, 2023 - Wiley Online Library
The fifth edition of the World Health Organization (WHO) classification of central nervous
system tumors published in 2021 advances the role of molecular diagnostics in the …
system tumors published in 2021 advances the role of molecular diagnostics in the …
“Real world” use of a highly reliable imaging sign:“T2-FLAIR mismatch” for identification of IDH mutant astrocytomas
R Jain, DR Johnson, SH Patel, M Castillo… - Neuro …, 2020 - academic.oup.com
AbstractThe T2-FLAIR (fluid attenuated inversion recovery) mismatch sign is an easily
detectable imaging sign on routine clinical MRI studies that suggests diagnosis of isocitrate …
detectable imaging sign on routine clinical MRI studies that suggests diagnosis of isocitrate …
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas
Applications of radiomics and radiogenomics in high-grade gliomas in the era of precision medicine
Simple Summary Radiomics and radiogenomics offer new insight into high-grade glioma
biology, as well as into glioma behavior in response to standard therapies. In this article, we …
biology, as well as into glioma behavior in response to standard therapies. In this article, we …
[HTML][HTML] Qualitative and quantitative magnetic resonance imaging phenotypes may predict CDKN2A/B homozygous deletion status in isocitrate dehydrogenase …
Objective Cyclin-dependent kinase inhibitor (CDKN) 2A/B homozygous deletion is a key
molecular marker of isocitrate dehydrogenase (IDH)-mutant astrocytomas in the 2021 World …
molecular marker of isocitrate dehydrogenase (IDH)-mutant astrocytomas in the 2021 World …
Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas
S Wu, J Meng, Q Yu, P Li, S Fu - Journal of cancer research and clinical …, 2019 - Springer
Purpose Reliable and accurate predictive models are necessary to drive the success of
radiomics. Our aim was to identify the optimal radiomics-based machine learning method for …
radiomics. Our aim was to identify the optimal radiomics-based machine learning method for …
Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging
Background Diagnostic classification of diffuse gliomas now requires an assessment of
molecular features, often including IDH-mutation and 1p19q-codeletion status. Because …
molecular features, often including IDH-mutation and 1p19q-codeletion status. Because …