Whole-tumor radiomics analysis of DKI and DTI may improve the prediction of genotypes for astrocytomas: A preliminary study
Y Tan, W Mu, X Wang, G Yang, RJ Gillies… - European journal of …, 2020 - Elsevier
… , this study evaluated the role and incremental value of whole-tumor radiomics analysis based
on DKI and DTI images in determining the IDH and MGMTmet genotypes of astrocytomas. …
on DKI and DTI images in determining the IDH and MGMTmet genotypes of astrocytomas. …
Structural-and DTI-MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach
… (DKI) suggested DKI was superior to DTI in IDH genotype … Our study demonstrates that DTI
features are effective biomarkers … Specifically, our preliminary results show that our predictive …
features are effective biomarkers … Specifically, our preliminary results show that our predictive …
Diffusion MRI is valuable in brainstem glioma genotyping with quantitative measurements of white matter tracts
X Xiao, N Yang, G Gu, X Wang, Z Jiang, T Li… - European …, 2023 - Springer
… (DTI; DKI) metrics were calculated, then 17 whole-tumor … This study found that diffusion
MRI is valuable in predicting … their findings in genotyping BSGs using MRI with radiomics or …
MRI is valuable in predicting … their findings in genotyping BSGs using MRI with radiomics or …
Noninvasive determination of the IDH status of gliomas using MRI and MRI-based radiomics: impact on diagnosis and prognosis
Y Li, Q Qin, Y Zhang, Y Cao - Current Oncology, 2022 - mdpi.com
… studies suggested that DKI was superior to DTI in the detection of microstructural changes
among different glioma grades and genotypes … tumor core, the whole tumor, and all regions [86…
among different glioma grades and genotypes … tumor core, the whole tumor, and all regions [86…
A review of radiomics and deep predictive modeling in glioma characterization
… glioma categorization based on biological genotypes and application of computational machine
learning or deep learning based predictive … ), diffusion tensor imaging (DTI) to measure …
learning or deep learning based predictive … ), diffusion tensor imaging (DTI) to measure …
[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
… , if any) and the whole tumor (WT, combining the … study, we constructed a 2.5D-CNN model
to extract initial features from the image sequence and then used LSTM to learn the initial …
to extract initial features from the image sequence and then used LSTM to learn the initial …
Model incorporating multiple diffusion MRI features: development and validation of a radiomics-based model to predict adult-type diffuse gliomas grade
P Wang, S Xie, Q Wu, L Weng, Z Hao, P Yuan… - European …, 2023 - Springer
… aimed at improving the treatment of patients with glioma, … prediction model still showed the
contribution of DTI and MAP… MAP-MRI, NODDI, and DKI should theoretically reflect the real …
contribution of DTI and MAP… MAP-MRI, NODDI, and DKI should theoretically reflect the real …
Advancements in neuroimaging to unravel biological and molecular features of brain tumors
… promising aMRI approaches (DTI/DKI, biophysical models, … mut 1p19q int -genotype among
LGG (AUC 0.69). In another … willing to assess quantitative features from whole-tumor VOIs. …
LGG (AUC 0.69). In another … willing to assess quantitative features from whole-tumor VOIs. …
Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology
L Gatto, E Franceschi, A Tosoni, V Di Nunno, C Tonon… - Biomedicines, 2022 - mdpi.com
… radiomics models were built from tumor core, whole tumor, … Diffusion kurtosis imaging (DKI),
an extension of the DTI, can … MRI studies have been assessed for IDH genotype prediction in …
an extension of the DTI, can … MRI studies have been assessed for IDH genotype prediction in …
Radiomics-based MRI for predicting erythropoietin-producing hepatocellular receptor A2 expression and tumor grade in brain diffuse gliomas
X Liu, J Li, X Liao, Z Luo, Q Xu, H Pan, Q Zhou, Y Tao… - Neuroradiology, 2022 - Springer
… this study is to evaluate the role and value of whole-tumor radiomics analysis based on DKI
… between EphA2 and some radiomics features which can reflect glioma grade. There were 2 …
… between EphA2 and some radiomics features which can reflect glioma grade. There were 2 …