These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
170 related articles for article (PubMed ID: 35835879)
1. 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]
2. 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]
3. 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]
4. Applying MAP-MRI to Identify the WHO Grade and Main Genetic Features of Adult-type Diffuse Gliomas: A Comparison of Three Diffusion-weighted MRI Models. Wang P; He J; Ma X; Weng L; Wu Q; Zhao P; Ban C; Hao X; Hao Z; Yuan P; Hao F; Wang S; Zhang H; Xie S; Gao Y Acad Radiol; 2023 Jul; 30(7):1238-1246. PubMed ID: 36347664 [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. Tumor Multiregional Mean Apparent Propagator (MAP) Features in Evaluating Gliomas-A Comparative Study With Diffusion Kurtosis Imaging (DKI). Zeng S; Ma H; Xie D; Huang Y; Yang J; Lin F; Ma Z; Wang M; Yang Z; Zhao J; Chu J J Magn Reson Imaging; 2023 Dec; ():. PubMed ID: 38131220 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models. Mao J; Zeng W; Zhang Q; Yang Z; Yan X; Zhang H; Wang M; Yang G; Zhou M; Shen J BMC Med Imaging; 2020 Nov; 20(1):124. PubMed ID: 33228564 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Histogram analysis of diffusion kurtosis imaging estimates for in vivo assessment of 2016 WHO glioma grades: A cross-sectional observational study. Hempel JM; Schittenhelm J; Brendle C; Bender B; Bier G; Skardelly M; Tabatabai G; Castaneda Vega S; Ernemann U; Klose U Eur J Radiol; 2017 Oct; 95():202-211. PubMed ID: 28987669 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Correlation Between Apparent Diffusion Coefficient and the Ki-67 Proliferation Index in Grading Pediatric Glioma. Yao R; Cheng A; Zhang Z; Jin B; Yu H J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):322-328. PubMed ID: 36957971 [TBL] [Abstract][Full Text] [Related]
14. Non-Gaussian diffusion MR imaging of glioma: comparisons of multiple diffusion parameters and correlation with histologic grade and MIB-1 (Ki-67 labeling) index. Yan R; Haopeng P; Xiaoyuan F; Jinsong W; Jiawen Z; Chengjun Y; Tianming Q; Ji X; Mao S; Yueyue D; Yong Z; Jianfeng L; Zhenwei Y Neuroradiology; 2016 Feb; 58(2):121-32. PubMed ID: 26494463 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Application of diffusion kurtosis imaging to the study of edema in solid and peritumoral areas of glioma. Qiu J; Deng K; Wang P; Chen C; Luo Y; Yuan S; Wen J Magn Reson Imaging; 2022 Feb; 86():10-16. PubMed ID: 34793876 [TBL] [Abstract][Full Text] [Related]