[HTML][HTML] Deep-learning and conventional radiomics to predict IDH genotyping status based on magnetic resonance imaging data in adult diffuse glioma

H Zhang, X Fan, J Zhang, Z Wei, W Feng, Y Hu… - Frontiers in …, 2023 - ncbi.nlm.nih.gov
Objectives In adult diffuse glioma, preoperative detection of isocitrate dehydrogenase (IDH)
status helps clinicians develop surgical strategies and evaluate patient prognosis. Here, we …

Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging

K Chang, HX Bai, H Zhou, C Su, WL Bi, E Agbodza… - Clinical Cancer …, 2018 - AACR
Purpose: Isocitrate dehydrogenase (IDH) mutations in glioma patients confer longer survival
and may guide treatment decision making. We aimed to predict the IDH status of gliomas …

Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low-and high-grade gliomas

H Zhou, K Chang, HX Bai, B Xiao, C Su, WL Bi… - Journal of neuro …, 2019 - Springer
Purpose Isocitrate dehydrogenase (IDH) and 1p19q codeletion status are importantin
providing prognostic information as well as prediction of treatment response in gliomas …

[HTML][HTML] Pre-surgical connectome features predict IDH status in diffuse gliomas

SR Kesler, RA Harrison, ML Petersen, V Rao… - Oncotarget, 2019 - ncbi.nlm.nih.gov
Background Gliomas are the most common type of malignant brain tumor. Clinical outcomes
depend on many factors including tumor molecular characteristics. Mutation of the isocitrate …

[HTML][HTML] 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 …

[HTML][HTML] Radiomics and qualitative features from multiparametric MRI predict molecular subtypes in patients with lower-grade glioma

C Sun, L Fan, W Wang, W Wang, L Liu, W Duan… - Frontiers in …, 2022 - frontiersin.org
Background Isocitrate dehydrogenase (IDH) mutation and 1p19q codeletion status have
been identified as significant markers for therapy and prognosis in lower-grade glioma …

Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction

YS Choi, SS Ahn, JH Chang, SG Kang, EH Kim… - European …, 2020 - Springer
Background and purpose Recent studies have highlighted the importance of isocitrate
dehydrogenase (IDH) mutational status in stratifying biologically distinct subgroups of …

[HTML][HTML] Deep learning can differentiate IDH-mutant from IDH-wild GBM

L Pasquini, A Napolitano, E Tagliente… - Journal of personalized …, 2021 - mdpi.com
Isocitrate dehydrogenase (IDH) mutant and wildtype glioblastoma multiforme (GBM) often
show overlapping features on magnetic resonance imaging (MRI), representing a diagnostic …

On Validating multimodal MRI based stratification of IDH genotype in high grade gliomas using CNNs and its comparison to radiomics

T Chougule, S Shinde, V Santosh, J Saini… - … and Radiogenomics in …, 2020 - Springer
Radiomics based multi-variate models and state-of-art convolutional neural networks
(CNNs) have demonstrated their usefulness for predicting IDH genotype in gliomas from …

Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas

B Zhang, K Chang, S Ramkissoon, S Tanguturi… - Neuro …, 2017 - academic.oup.com
Background. High-grade gliomas with mutations in the isocitrate dehydrogenase (IDH) gene
family confer longer overall survival relative to their IDH-wild-type counterparts. Accurate …