BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

150 related articles for article (PubMed ID: 35878557)

  • 1. Efficacy of MR diffusion kurtosis imaging for differentiating low-grade from high-grade glioma before surgery: A systematic review and meta-analysis.
    Xu C; Li C; Xing C; Li J; Jiang X
    Clin Neurol Neurosurg; 2022 Sep; 220():107373. PubMed ID: 35878557
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Glioma Grade Discrimination with MR Diffusion Kurtosis Imaging: A Meta-Analysis of Diagnostic Accuracy.
    Falk Delgado A; Nilsson M; van Westen D; Falk Delgado A
    Radiology; 2018 Apr; 287(1):119-127. PubMed ID: 29206593
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An evidence-based approach to assess the accuracy of diffusion kurtosis imaging in characterization of gliomas.
    Huang R; Chen Y; Li W; Zhang X
    Medicine (Baltimore); 2018 Nov; 97(44):e13068. PubMed ID: 30383687
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. The diagnostic role of diffusional kurtosis imaging in glioma grading and differentiation of gliomas from other intra-axial brain tumours: a systematic review with critical appraisal and meta-analysis.
    Abdalla G; Dixon L; Sanverdi E; Machado PM; Kwong JSW; Panovska-Griffiths J; Rojas-Garcia A; Yoneoka D; Veraart J; Van Cauter S; Abdel-Khalek AM; Settein M; Yousry T; Bisdas S
    Neuroradiology; 2020 Jul; 62(7):791-802. PubMed ID: 32367349
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Diffusion-Weighted Imaging and Diffusion Tensor Imaging for Differentiating High-Grade Glioma from Solitary Brain Metastasis: A Systematic Review and Meta-Analysis.
    Suh CH; Kim HS; Jung SC; Kim SJ
    AJNR Am J Neuroradiol; 2018 Jul; 39(7):1208-1214. PubMed ID: 29724766
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Diagnostic performance of diffusion tensor imaging for preo- perative glioma grading.
    Duy Hung N; Minh Duc N; Van Anh NT; Thanh Dung L; He DV
    Clin Ter; 2021 Jul; 172(4):315-321. PubMed ID: 34247214
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.
    Inano R; Oishi N; Kunieda T; Arakawa Y; Yamao Y; Shibata S; Kikuchi T; Fukuyama H; Miyamoto S
    Neuroimage Clin; 2014; 5():396-407. PubMed ID: 25180159
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. An evidence-based approach to assess the accuracy of intravoxel incoherent motion imaging for the grading of brain tumors.
    Li WF; Niu C; Shakir TM; Chen T; Zhang M; Wang Z
    Medicine (Baltimore); 2018 Nov; 97(45):e13217. PubMed ID: 30407363
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Texture analysis of apparent diffusion coefficient (ADC) map for glioma grading: Analysis of whole tumoral and peri-tumoral tissue.
    Soliman RK; Essa AA; Elhakeem AAS; Gamal SA; Zaitoun MMA
    Diagn Interv Imaging; 2021 May; 102(5):287-295. PubMed ID: 33419692
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Differentiating high-grade glioma recurrence from pseudoprogression: Comparing diffusion kurtosis imaging and diffusion tensor imaging.
    Wu XF; Liang X; Wang XC; Qin JB; Zhang L; Tan Y; Zhang H
    Eur J Radiol; 2021 Feb; 135():109445. PubMed ID: 33341429
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Diagnostic value of MRI radiomics in differentiating high‑grade glioma from low‑grade glioma: A meta‑analysis.
    Wang J; Chen Z; Chen J
    Oncol Lett; 2023 Oct; 26(4):436. PubMed ID: 37664663
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved diagnostic confidence and tumor type prediction in adult-type diffuse glioma by multimodal imaging including DCE perfusion and diffusion kurtosis mapping - A standardized multicenter study.
    Richter V; Nägele T; Erb G; Klose U; Ernemann U; Hauser TK
    Eur J Radiol; 2024 Feb; 171():111293. PubMed ID: 38218066
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.