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Journal Abstract Search

697 related items for PubMed ID: 30527302

  • 21.
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  • 22. Differentiating tumour progression from pseudoprogression in glioblastoma patients: a monoexponential, biexponential, and stretched-exponential model-based DWI study.
    Liao D, Liu YC, Liu JY, Wang D, Liu XF.
    BMC Med Imaging; 2023 Sep 11; 23(1):119. PubMed ID: 37697237
    [Abstract] [Full Text] [Related]

  • 23. MR diffusion kurtosis imaging predicts malignant potential and the histological type of meningioma.
    Xing F, Tu N, Koh TS, Wu G.
    Eur J Radiol; 2017 Oct 11; 95():286-292. PubMed ID: 28987682
    [Abstract] [Full Text] [Related]

  • 24. Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging?
    Yang L, Rao S, Wang W, Chen C, Ding Y, Yang C, Grimm R, Yan X, Fu C, Zeng M.
    Eur Radiol; 2018 Jul 11; 28(7):3041-3049. PubMed ID: 29383522
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  • 25. Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?
    Wan Q, Deng YS, Lei Q, Bao YY, Wang YZ, Zhou JX, Zou Q, Li XC.
    Eur Radiol; 2019 Mar 11; 29(3):1607-1615. PubMed ID: 30255258
    [Abstract] [Full Text] [Related]

  • 26. Comparative analysis of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in evaluating the histological grade of cervical squamous carcinoma.
    Hou M, Song K, Ren J, Wang K, Guo J, Niu Y, Li Z, Han D.
    BMC Cancer; 2022 Jan 20; 22(1):87. PubMed ID: 35057777
    [Abstract] [Full Text] [Related]

  • 27. Prediction of Prognostic Factors and Genotypes in Patients With Breast Cancer Using Multiple Mathematical Models of MR Diffusion Imaging.
    Wang W, Zhang X, Zhu L, Chen Y, Dou W, Zhao F, Zhou Z, Sun Z.
    Front Oncol; 2022 Jan 20; 12():825264. PubMed ID: 35174093
    [Abstract] [Full Text] [Related]

  • 28. Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors.
    Huang Y, Lin Y, Hu W, Ma C, Lin W, Wang Z, Liang J, Ye W, Zhao J, Wu R.
    J Magn Reson Imaging; 2019 Mar 20; 49(3):845-856. PubMed ID: 30260589
    [Abstract] [Full Text] [Related]

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  • 31. Differentiation of Prostate Cancer and Stromal Hyperplasia in the Transition Zone With Monoexponential, Stretched-Exponential Diffusion-Weighted Imaging and Diffusion Kurtosis Imaging in a Reduced Number of b Values: Correlation With Whole-Mount Pathology.
    Zhou B, Liu X, Gan H, Gao H, Zhang Y, Zhou L, Gu Y.
    J Comput Assist Tomogr; 2019 Mar 20; 46(4):545-550. PubMed ID: 35405685
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  • 32.
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  • 33. Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models.
    Wang F, Wang Y, Zhou Y, Liu C, Xie L, Zhou Z, Liang D, Shen Y, Yao Z, Liu J.
    J Magn Reson Imaging; 2017 Dec 20; 46(6):1797-1809. PubMed ID: 28379611
    [Abstract] [Full Text] [Related]

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  • 36. Histogram analysis of stretched-exponential and monoexponential diffusion-weighted imaging models for distinguishing low and intermediate/high gleason scores in prostate carcinoma.
    Liu W, Liu XH, Tang W, Gao HB, Zhou BN, Zhou LP.
    J Magn Reson Imaging; 2018 Aug 20; 48(2):491-498. PubMed ID: 29412492
    [Abstract] [Full Text] [Related]

  • 37. Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model.
    Liu C, Wang K, Li X, Zhang J, Ding J, Spuhler K, Duong T, Liang C, Huang C.
    J Magn Reson Imaging; 2018 Jun 20; 47(6):1701-1710. PubMed ID: 29165847
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  • 40. Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: A correlation with Ki-67 expression.
    Li HM, Zhao SH, Qiang JW, Zhang GF, Feng F, Ma FH, Li YA, Gu WY.
    J Magn Reson Imaging; 2017 Nov 20; 46(5):1499-1506. PubMed ID: 28295854
    [Abstract] [Full Text] [Related]

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