162 related articles for article (PubMed ID: 32857204)
1. 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]
2. 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]
3. 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]
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. 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]
6. 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]
7. Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.
Roethke MC; Kuder TA; Kuru TH; Fenchel M; Hadaschik BA; Laun FB; Schlemmer HP; Stieltjes B
Invest Radiol; 2015 Aug; 50(8):483-9. PubMed ID: 25867657
[TBL] [Abstract][Full Text] [Related]
8. Diffusion kurtosis imaging can efficiently assess the glioma grade and cellular proliferation.
Jiang R; Jiang J; Zhao L; Zhang J; Zhang S; Yao Y; Yang S; Shi J; Shen N; Su C; Zhang J; Zhu W
Oncotarget; 2015 Dec; 6(39):42380-93. PubMed ID: 26544514
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Feasibility of generalised diffusion kurtosis imaging approach for brain glioma grading.
Pogosbekian EL; Pronin IN; Zakharova NE; Batalov AI; Turkin AM; Konakova TA; Maximov II
Neuroradiology; 2021 Aug; 63(8):1241-1251. PubMed ID: 33410948
[TBL] [Abstract][Full Text] [Related]
11. A Comparative Study of 2 Different Segmentation Methods of ADC Histogram for Differentiation Genetic Subtypes in Lower-Grade Diffuse Gliomas.
Liu D; Gao SX; Liao HF; Xu JM; Wen M
Biomed Res Int; 2020; 2020():9549361. PubMed ID: 33062706
[TBL] [Abstract][Full Text] [Related]
12. Apparent diffusion coefficient measurement in glioma: Influence of region-of-interest determination methods on apparent diffusion coefficient values, interobserver variability, time efficiency, and diagnostic ability.
Han X; Suo S; Sun Y; Zu J; Qu J; Zhou Y; Chen Z; Xu J
J Magn Reson Imaging; 2017 Mar; 45(3):722-730. PubMed ID: 27527072
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Comparison of two region-of-interest placement methods for histogram analysis of apparent diffusion coefficient maps for glioma grading.
Hieu ND; Hung ND; Hung ND; Hien MM; Anh DV; Dung LT
Clin Ter; 2024; 175(3):128-136. PubMed ID: 38767069
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. In vivo assessment of tumor heterogeneity in WHO 2016 glioma grades using diffusion kurtosis imaging: Diagnostic performance and improvement of feasibility in routine clinical practice.
Hempel JM; Schittenhelm J; Bisdas S; Brendle C; Bender B; Bier G; Skardelly M; Tabatabai G; Castaneda Vega S; Ernemann U; Klose U
J Neuroradiol; 2018 Feb; 45(1):32-40. PubMed ID: 28865921
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Diffusion kurtosis imaging in the characterisation of rectal cancer: utilizing the most repeatable region-of-interest strategy for diffusion parameters on a 3T scanner.
Sun Y; Xiao Q; Hu F; Fu C; Jia H; Yan X; Xin C; Cai S; Peng W; Wang X; Tong T; Gu Y
Eur Radiol; 2018 Dec; 28(12):5211-5220. PubMed ID: 29797056
[TBL] [Abstract][Full Text] [Related]
20. Developing a Predictive Grading Model for Children with Gliomas Based on Diffusion Kurtosis Imaging Metrics: Accuracy and Clinical Correlations with Patient Survival.
Voicu IP; Napolitano A; Caulo M; Dotta F; Piccirilli E; Vinci M; Diomedi-Camassei F; Lattavo L; Carboni A; Miele E; Cacchione A; Carai A; Tomà P; Mastronuzzi A; Colafati GS
Cancers (Basel); 2022 Sep; 14(19):. PubMed ID: 36230701
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]