[HTML][HTML] Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas

NH Setyawan, L Choridah, HA Nugroho, RG Malueka… - Cancer Imaging, 2024 - Springer
Background Gliomas present a significant economic burden and patient management
challenge. The 2021 WHO classification incorporates molecular parameters, which guide …

[HTML][HTML] 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 …

[HTML][HTML] Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status

J He, J Ren, G Niu, A Liu, Q Wu, S Xie, X Ma, B Li… - BMC Medical …, 2022 - Springer
Background Genotype status of glioma have important significance to clinical treatment and
prognosis. At present, there are few studies on the prediction of multiple genotype status in …

[HTML][HTML] Optimizing the risk stratification of astrocytic tumors by applying the cIMPACT-NOW Update 3 signature: real-word single center experience

C Molica, A Gili, C Nardelli, T Pierini, S Arniani… - Scientific Reports, 2023 - nature.com
Our work reports implementation of a useful genetic diagnosis for the clinical managment of
patients with astrocytic tumors. We investigated 313 prospectively recruited diffuse astrocytic …

[HTML][HTML] Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET

H Tatekawa, A Hagiwara, H Uetani, S Bahri… - Cancer Imaging, 2021 - Springer
Background The purpose of this study was to develop a voxel-wise clustering method of
multiparametric magnetic resonance imaging (MRI) and 3, 4-dihydroxy-6-[18 F]-fluoro-L …

A radiomics–clinical nomogram for preoperative prediction of IDH1 mutation in primary glioblastoma multiforme

X Su, H Sun, N Chen, N Roberts, X Yang, W Wang… - Clinical Radiology, 2020 - Elsevier
AIM To develop and validate an individualised radiomics–clinical nomogram for the
prediction of the isocitrate dehydrogenase 1 (IDH1) mutation status in primary glioblastoma …

IDH genotypes differentiation in glioblastomas using DWI and DSC-PWI in the enhancing and peri-enhancing region

Z Xing, H Zhang, D She, Y Lin, X Zhou… - Acta …, 2019 - journals.sagepub.com
Background Isocitrate dehydrogenase (IDH) mutation has diagnostic and prognostic values
in glioblastomas. Peritumoral invasion of glioma cells is a cardinal feature of glioblastomas …

Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors

Y Tan, W Mu, X Wang, G Yang, RJ Gillies… - European journal of …, 2019 - Elsevier
Objectives To develop a radiomic signature to predict overall survival (OS) for high-grade
glioma (HGG), and construct a nomogram by combining selected radiomic, genetic and …

Multicenter clinical radiomics–integrated model based on [18F]FDG PET and multi-modal MRI predict ATRX mutation status in IDH-mutant lower-grade gliomas

L Zhang, H Pan, Z Liu, J Gao, X Xu, L Wang, J Wang… - European …, 2023 - Springer
Objectives To develop a clinical radiomics–integrated model based on 18 F-
fluorodeoxyglucose positron emission tomography ([18F] FDG PET) and multi-modal MRI for …

[HTML][HTML] The relationship between radiomics and pathomics in glioblastoma patients: preliminary results from a cross-scale association study

V Brancato, C Cavaliere, N Garbino, F Isgrò… - Frontiers in …, 2022 - frontiersin.org
Glioblastoma multiforme (GBM) typically exhibits substantial intratumoral heterogeneity at
both microscopic and radiological resolution scales. Diffusion Weighted Imaging (DWI) and …