… , 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. …

… (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 …

… glioma categorization based on biological genotypes and application of computational machine
learning or deep learning based predictive … ), diffusion tensor imaging (DTI) to measure …

… (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 …

… 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 …

… 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…

… the standard, predicting genotypes by preoperative advanced … , whole-tumor histograms,
as well as texture analysis of FA … , multi-directional DTI acquisitions can take several minutes …

… value provide better performance than DTI with regard to glioma grading. Diffusion kurtosis
… than DTI and it may not sample the whole tumor (30). Using a prospective study design, we …

… 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. …

… , 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 …