678 related articles for article (PubMed ID: 30414095)
1. Comparative analysis of the diffusion kurtosis imaging and diffusion tensor imaging in grading gliomas, predicting tumour cell proliferation and IDH-1 gene mutation status.
Zhao J; Wang YL; Li XB; Hu MS; Li ZH; Song YK; Wang JY; Tian YS; Liu DW; Yan X; Jiang L; Yang ZY; Chu JP
J Neurooncol; 2019 Jan; 141(1):195-203. PubMed ID: 30414095
[TBL] [Abstract][Full Text] [Related]
2. Comparing the value of DKI and DTI in detecting isocitrate dehydrogenase genotype of astrocytomas.
Tan Y; Zhang H; Wang X; Qin J; Wang L; Yang G; Yan H
Clin Radiol; 2019 Apr; 74(4):314-320. PubMed ID: 30771996
[TBL] [Abstract][Full Text] [Related]
3. Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas.
Raja R; Sinha N; Saini J; Mahadevan A; Rao KN; Swaminathan A
Neuroradiology; 2016 Dec; 58(12):1217-1231. PubMed ID: 27796448
[TBL] [Abstract][Full Text] [Related]
4. Diagnostic performance of gliomas grading and IDH status decoding A comparison between 3D amide proton transfer APT and four diffusion-weighted MRI models.
Guo H; Liu J; Hu J; Zhang H; Zhao W; Gao M; Zhang Y; Yang G; Cui Y
J Magn Reson Imaging; 2022 Dec; 56(6):1834-1844. PubMed ID: 35488516
[TBL] [Abstract][Full Text] [Related]
5. Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery.
Qi XX; Shi DF; Ren SX; Zhang SY; Li L; Li QC; Guan LM
Eur Radiol; 2018 Apr; 28(4):1748-1755. PubMed ID: 29143940
[TBL] [Abstract][Full Text] [Related]
6. Diffusion kurtosis imaging in evaluating gliomas: different region of interest selection methods on time efficiency, measurement repeatability, and diagnostic ability.
Chu JP; Song YK; Tian YS; Qiu HS; Huang XH; Wang YL; Huang YQ; Zhao J
Eur Radiol; 2021 Feb; 31(2):729-739. PubMed ID: 32857204
[TBL] [Abstract][Full Text] [Related]
7. Mean apparent propagator-MRI in evaluation of glioma grade, cellular proliferation, and IDH-1 gene mutation status.
Sun Y; Su C; Deng K; Hu X; Xue Y; Jiang R
Eur Radiol; 2022 Jun; 32(6):3744-3754. PubMed ID: 35076759
[TBL] [Abstract][Full Text] [Related]
8. Prediction of Isocitrate Dehydrogenase Genotype in Brain Gliomas with MRI: Single-Shell versus Multishell Diffusion Models.
Figini M; Riva M; Graham M; Castelli GM; Fernandes B; Grimaldi M; Baselli G; Pessina F; Bello L; Zhang H; Bizzi A
Radiology; 2018 Dec; 289(3):788-796. PubMed ID: 30277427
[TBL] [Abstract][Full Text] [Related]
9. Diagnostic performance between MR amide proton transfer (APT) and diffusion kurtosis imaging (DKI) in glioma grading and IDH mutation status prediction at 3 T.
Xu Z; Ke C; Liu J; Xu S; Han L; Yang Y; Qian L; Liu X; Zheng H; Lv X; Wu Y
Eur J Radiol; 2021 Jan; 134():109466. PubMed ID: 33307459
[TBL] [Abstract][Full Text] [Related]
10. Differentiation of high-grade-astrocytomas from solitary-brain-metastases: Comparing diffusion kurtosis imaging and diffusion tensor imaging.
Tan Y; Wang XC; Zhang H; Wang J; Qin JB; Wu XF; Zhang L; Wang L
Eur J Radiol; 2015 Dec; 84(12):2618-24. PubMed ID: 26482747
[TBL] [Abstract][Full Text] [Related]
11. Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study.
Bisdas S; Shen H; Thust S; Katsaros V; Stranjalis G; Boskos C; Brandner S; Zhang J
Sci Rep; 2018 Apr; 8(1):6108. PubMed ID: 29666413
[TBL] [Abstract][Full Text] [Related]
12. Glioma grading, molecular feature classification, and microstructural characterization using MR diffusional variance decomposition (DIVIDE) imaging.
Li S; Zheng Y; Sun W; Lasič S; Szczepankiewicz F; Wei Q; Han S; Zhang S; Zhong X; Wang L; Li H; Cai Y; Xu D; Li Z; He Q; van Westen D; Bryskhe K; Topgaard D; Xu H
Eur Radiol; 2021 Nov; 31(11):8197-8207. PubMed ID: 33914116
[TBL] [Abstract][Full Text] [Related]
13. A three-component multi-b-value diffusion-weighted imaging might be a useful biomarker for detecting microstructural features in gliomas with differences in malignancy and IDH-1 mutation status.
Cao M; Wang X; Liu F; Xue K; Dai Y; Zhou Y
Eur Radiol; 2023 Apr; 33(4):2871-2880. PubMed ID: 36346441
[TBL] [Abstract][Full Text] [Related]
14. Quantitative analysis of neurite orientation dispersion and density imaging in grading gliomas and detecting
Zhao J; Li JB; Wang JY; Wang YL; Liu DW; Li XB; Song YK; Tian YS; Yan X; Li ZH; He SF; Huang XL; Jiang L; Yang ZY; Chu JP
Neuroimage Clin; 2018; 19():174-181. PubMed ID: 30023167
[TBL] [Abstract][Full Text] [Related]
15. Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach.
Yuan J; Siakallis L; Li HB; Brandner S; Zhang J; Li C; Mancini L; Bisdas S
BMC Med Imaging; 2024 May; 24(1):104. PubMed ID: 38702613
[TBL] [Abstract][Full Text] [Related]
16. Whole-Tumor Histogram Analysis of Multiple Diffusion Metrics for Glioma Genotyping.
Gao A; Zhang H; Yan X; Wang S; Chen Q; Gao E; Qi J; Bai J; Zhang Y; Cheng J
Radiology; 2022 Mar; 302(3):652-661. PubMed ID: 34874198
[TBL] [Abstract][Full Text] [Related]
17. A correlation between diffusion kurtosis imaging and the proliferative activity of brain glioma.
Tonoyan AS; Pronin IN; Pitshelauri DI; Shishkina LV; Fadeeva LM; Pogosbekyan EL; Zakharova NE; Shults EI; Khachanova NV; Kornienko VN; Potapov AA
Zh Vopr Neirokhir Im N N Burdenko; 2015; 79(6):5-14. PubMed ID: 26977789
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of histopathological changes in the microstructure at the center and periphery of glioma tumors using diffusional kurtosis imaging.
Li F; Shi W; Wang D; Xu Y; Li H; He J; Zeng Q
Clin Neurol Neurosurg; 2016 Dec; 151():120-127. PubMed ID: 27825037
[TBL] [Abstract][Full Text] [Related]
19. Evaluating the renal mild tubulointerstitial damage and renal function in IgAN patients: a comparative study based on diffusion kurtosis imaging and diffusion tensor imaging.
Cao Y; Yin J; Hu M; Cui F; Qu H; Zhang Y; Le X; Lin J
Abdom Radiol (NY); 2023 Apr; 48(4):1350-1362. PubMed ID: 36749369
[TBL] [Abstract][Full Text] [Related]
20. Grading and proliferation assessment of diffuse astrocytic tumors with monoexponential, biexponential, and stretched-exponential diffusion-weighted imaging and diffusion kurtosis imaging.
Zhang J; Chen X; Chen D; Wang Z; Li S; Zhu W
Eur J Radiol; 2018 Dec; 109():188-195. PubMed ID: 30527302
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
