[HTML][HTML] Predicting IDH genotype in gliomas using FET PET radiomics
Mutations in the isocitrate dehydrogenase (IDH mut) gene have gained paramount
importance for the prognosis of glioma patients. To date, reliable techniques for a …
importance for the prognosis of glioma patients. To date, reliable techniques for a …
Quantitative magnetic resonance imaging and radiogenomic biomarkers for glioma characterisation: a systematic review
Objective: The diversity of tumour characteristics among glioma patients, even within same
tumour grade, is a big challenge for disease outcome prediction. A possible approach for …
tumour grade, is a big challenge for disease outcome prediction. A possible approach for …
Diffusion-and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma
M Kim, SY Jung, JE Park, Y Jo, SY Park, SJ Nam… - European …, 2020 - Springer
Objectives To determine whether diffusion-and perfusion-weighted MRI–based radiomics
features can improve prediction of isocitrate dehydrogenase (IDH) mutation and tumor …
features can improve prediction of isocitrate dehydrogenase (IDH) mutation and tumor …
Reproducible imaging-based prediction of molecular subtype and risk stratification of gliomas across different experience levels using a structured reporting system
YK Nam, JE Park, SY Park, M Lee, M Kim, SJ Nam… - European …, 2021 - Springer
Objectives To determine reproducible MRI parameters predictive of molecular subtype and
risk stratification in glioma and develop a structured reporting system. Methods All study …
risk stratification in glioma and develop a structured reporting system. Methods All study …
T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas
WT Tang, CQ Su, J Lin, ZW Xia, SS Lu, XN Hong - Clinical Radiology, 2024 - Elsevier
AIM To investigate the application of the T2-weighted (T2)-fluid-attenuated inversion
recovery (FLAIR) mismatch sign and machine learning-based multiparametric magnetic …
recovery (FLAIR) mismatch sign and machine learning-based multiparametric magnetic …
A radiomics model based on DCE-MRI and DWI may improve the prediction of estimating IDH1 mutation and angiogenesis in gliomas
J Wang, Y Hu, X Zhou, S Bao, Y Chen, M Ge… - European Journal of …, 2022 - Elsevier
Purpose To investigate the value of a radiomics model based on dynamic contrast-
enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) in …
enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) in …
Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult …
D Pei, F Guan, X Hong, Z Liu, W Wang, Y Qiu… - European …, 2023 - Springer
Objectives To investigate whether radiomic features extracted from dynamic susceptibility
contrast perfusion-weighted imaging (DSC-PWI) can improve the prediction of the molecular …
contrast perfusion-weighted imaging (DSC-PWI) can improve the prediction of the molecular …
Adding radiomics to the 2021 WHO updates may improve prognostic prediction for current IDH-wildtype histological lower-grade gliomas with known EGFR …
Objectives To assess whether radiomic features could improve the accuracy of survival
predictions of IDH-wildtype (IDHwt) histological lower-grade gliomas (LGGs) over …
predictions of IDH-wildtype (IDHwt) histological lower-grade gliomas (LGGs) over …
IDH mutation assessment of glioma using texture features of multimodal MR images
X Zhang, Q Tian, YX Wu, XP Xu, BJ Li… - Medical Imaging …, 2017 - spiedigitallibrary.org
Purpose: To 1) find effective texture features from multimodal MRI that can distinguish IDH
mutant and wild status, and 2) propose a radiomic strategy for preoperatively detecting IDH …
mutant and wild status, and 2) propose a radiomic strategy for preoperatively detecting IDH …
[HTML][HTML] A subregion-based RadioFusionOmics model discriminates between grade 4 astrocytoma and glioblastoma on multisequence MRI
R Wei, S Lu, S Lai, F Liang, W Zhang, X Jiang… - Journal of Cancer …, 2024 - Springer
Purpose To explore a subregion-based RadioFusionOmics (RFO) model for discrimination
between adult-type grade 4 astrocytoma and glioblastoma according to the 2021 WHO …
between adult-type grade 4 astrocytoma and glioblastoma according to the 2021 WHO …