165 related articles for article (PubMed ID: 37439936)
21. Evaluation of diffuse glioma grade and proliferation activity by different diffusion-weighted-imaging models including diffusion kurtosis imaging (DKI) and mean apparent propagator (MAP) MRI.
Xie SH; Lang R; Li B; Zhao H; Wang P; He JL; Ma XY; Wu Q; Wang SY; Zhang HP; Gao Y; Wu JL
Neuroradiology; 2023 Jan; 65(1):55-64. PubMed ID: 35835879
[TBL] [Abstract][Full Text] [Related]
22. Deep Convolutional Radiomic Features on Diffusion Tensor Images for Classification of Glioma Grades.
Zhang Z; Xiao J; Wu S; Lv F; Gong J; Jiang L; Yu R; Luo T
J Digit Imaging; 2020 Aug; 33(4):826-837. PubMed ID: 32040669
[TBL] [Abstract][Full Text] [Related]
23. Radiomic features from dynamic susceptibility contrast perfusion-weighted imaging improve the three-class prediction of molecular subtypes in patients with adult diffuse gliomas.
Pei D; Guan F; Hong X; Liu Z; Wang W; Qiu Y; Duan W; Wang M; Sun C; Wang W; Wang X; Guo Y; Wang Z; Liu Z; Xing A; Guo Z; Luo L; Liu X; Cheng J; Zhang B; Zhang Z; Yan J
Eur Radiol; 2023 May; 33(5):3455-3466. PubMed ID: 36853347
[TBL] [Abstract][Full Text] [Related]
24. Heterogeneity matching and IDH prediction in adult-type diffuse gliomas: a DKI-based habitat analysis.
Liu Y; Wang P; Wang S; Zhang H; Song Y; Yan X; Gao Y
Front Oncol; 2023; 13():1202170. PubMed ID: 38090477
[TBL] [Abstract][Full Text] [Related]
25. Advanced imaging parameters improve the prediction of diffuse lower-grade gliomas subtype, IDH mutant with no 1p19q codeletion: added value to the T2/FLAIR mismatch sign.
Lee MK; Park JE; Jo Y; Park SY; Kim SJ; Kim HS
Eur Radiol; 2020 Feb; 30(2):844-854. PubMed ID: 31446467
[TBL] [Abstract][Full Text] [Related]
26. The role of MR diffusion kurtosis and neurite orientation dispersion and density imaging in evaluating gliomas.
Genç B; Aslan K; Özçağlayan A; İncesu L
J Neuroimaging; 2023; 33(4):644-651. PubMed ID: 37170070
[TBL] [Abstract][Full Text] [Related]
27. Primary application of mean apparent propagator-MRI diffusion model in the grading of diffuse glioma.
Wang P; Weng L; Xie S; He J; Ma X; Li B; Yuan P; Wang S; Zhang H; Niu G; Wu Q; Gao Y
Eur J Radiol; 2021 May; 138():109622. PubMed ID: 33721768
[TBL] [Abstract][Full Text] [Related]
28. An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas.
Li G; Li L; Li Y; Qian Z; Wu F; He Y; Jiang H; Li R; Wang D; Zhai Y; Wang Z; Jiang T; Zhang J; Zhang W
Brain; 2022 Apr; 145(3):1151-1161. PubMed ID: 35136934
[TBL] [Abstract][Full Text] [Related]
29. Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume.
Choi YS; Ahn SS; Lee SK; Chang JH; Kang SG; Kim SH; Zhou J
Eur Radiol; 2017 Aug; 27(8):3181-3189. PubMed ID: 28116517
[TBL] [Abstract][Full Text] [Related]
30. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
Tian Q; Yan LF; Zhang X; Zhang X; Hu YC; Han Y; Liu ZC; Nan HY; Sun Q; Sun YZ; Yang Y; Yu Y; Zhang J; Hu B; Xiao G; Chen P; Tian S; Xu J; Wang W; Cui GB
J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
[TBL] [Abstract][Full Text] [Related]
31. Diffusion kurtosis imaging as an imaging biomarker for predicting prognosis of the patients with high-grade gliomas.
Wang X; Gao W; Li F; Shi W; Li H; Zeng Q
Magn Reson Imaging; 2019 Nov; 63():131-136. PubMed ID: 31425809
[TBL] [Abstract][Full Text] [Related]
32. Multi-parameter diffusion and perfusion magnetic resonance imaging and radiomics nomogram for preoperative evaluation of aquaporin-1 expression in rectal cancer.
Chen Y; Li B; Jiang Z; Li H; Dang Y; Tang C; Xia Y; Zhang H; Song B; Long L
Abdom Radiol (NY); 2022 Apr; 47(4):1276-1290. PubMed ID: 35166938
[TBL] [Abstract][Full Text] [Related]
33. Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences.
Qin JB; Liu Z; Zhang H; Shen C; Wang XC; Tan Y; Wang S; Wu XF; Tian J
Med Sci Monit; 2017 May; 23():2168-2178. PubMed ID: 28478462
[TBL] [Abstract][Full Text] [Related]
34. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
Hashido T; Saito S; Ishida T
J Comput Assist Tomogr; 2021 Jul-Aug 01; 45(4):606-613. PubMed ID: 34270479
[TBL] [Abstract][Full Text] [Related]
35. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
36. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas.
Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F
Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598
[TBL] [Abstract][Full Text] [Related]
37. Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study.
Hu L; Zhou DW; Fu CX; Benkert T; Jiang CY; Li RT; Wei LM; Zhao JG
Eur Radiol; 2021 Mar; 31(3):1760-1769. PubMed ID: 32935192
[TBL] [Abstract][Full Text] [Related]
38. Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.
Cao M; Suo S; Zhang X; Wang X; Xu J; Yang W; Zhou Y
Biomed Res Int; 2021; 2021():1235314. PubMed ID: 33553421
[TBL] [Abstract][Full Text] [Related]
39. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
[TBL] [Abstract][Full Text] [Related]
40. Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.
Park YW; Choi YS; Ahn SS; Chang JH; Kim SH; Lee SK
Korean J Radiol; 2019 Sep; 20(9):1381-1389. PubMed ID: 31464116
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]