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519 related items for PubMed ID: 30087067

  • 1. Whole-Tumor Quantitative Apparent Diffusion Coefficient Histogram and Texture Analysis to Differentiation of Minimal Fat Angiomyolipoma from Clear Cell Renal Cell Carcinoma.
    Li H, Li A, Zhu H, Hu Y, Li J, Xia L, Hu D, Kamel IR, Li Z.
    Acad Radiol; 2019 May; 26(5):632-639. PubMed ID: 30087067
    [Abstract] [Full Text] [Related]

  • 2. Monoexponential, biexponential, and stretched exponential diffusion-weighted imaging models: Quantitative biomarkers for differentiating renal clear cell carcinoma and minimal fat angiomyolipoma.
    Li H, Liang L, Li A, Hu Y, Hu D, Li Z, Kamel IR.
    J Magn Reson Imaging; 2017 Jul; 46(1):240-247. PubMed ID: 27859853
    [Abstract] [Full Text] [Related]

  • 3. Subtype Differentiation of Small (≤ 4 cm) Solid Renal Mass Using Volumetric Histogram Analysis of DWI at 3-T MRI.
    Li A, Xing W, Li H, Hu Y, Hu D, Li Z, Kamel IR.
    AJR Am J Roentgenol; 2018 Sep; 211(3):614-623. PubMed ID: 29812980
    [Abstract] [Full Text] [Related]

  • 4. Diffusion-weighted magnetic resonance imaging in the differentiation of angiomyolipoma with minimal fat from clear cell renal cell carcinoma.
    Tanaka H, Yoshida S, Fujii Y, Ishii C, Tanaka H, Koga F, Saito K, Masuda H, Kawakami S, Kihara K.
    Int J Urol; 2011 Oct; 18(10):727-30. PubMed ID: 21815937
    [Abstract] [Full Text] [Related]

  • 5. Comparison of Biexponential and Monoexponential Model of Diffusion-Weighted Imaging for Distinguishing between Common Renal Cell Carcinoma and Fat Poor Angiomyolipoma.
    Ding Y, Zeng M, Rao S, Chen C, Fu C, Zhou J.
    Korean J Radiol; 2016 Oct; 17(6):853-863. PubMed ID: 27833401
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  • 9. Diagnostic test accuracy of ADC values for identification of clear cell renal cell carcinoma: systematic review and meta-analysis.
    Tordjman M, Mali R, Madelin G, Prabhu V, Kang SK.
    Eur Radiol; 2020 Jul; 30(7):4023-4038. PubMed ID: 32144458
    [Abstract] [Full Text] [Related]

  • 10. Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.
    Tsuchiya N, Doai M, Usuda K, Uramoto H, Tonami H.
    PLoS One; 2017 Jul; 12(2):e0172433. PubMed ID: 28207858
    [Abstract] [Full Text] [Related]

  • 11. Utility of radiomics features of diffusion-weighted magnetic resonance imaging for differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma: model development and external validation.
    Matsumoto S, Arita Y, Yoshida S, Fukushima H, Kimura K, Yamada I, Tanaka H, Yagi F, Yokoyama M, Matsuoka Y, Oya M, Tateishi U, Jinzaki M, Fujii Y.
    Abdom Radiol (NY); 2022 Jun; 47(6):2178-2186. PubMed ID: 35426498
    [Abstract] [Full Text] [Related]

  • 12. Radiological indeterminate vestibular schwannoma and meningioma in cerebellopontine angle area: differentiating using whole-tumor histogram analysis of apparent diffusion coefficient.
    Xu XQ, Li Y, Hong XN, Wu FY, Shi HB.
    Int J Neurosci; 2017 Feb; 127(2):183-190. PubMed ID: 26961388
    [Abstract] [Full Text] [Related]

  • 13. Differentiating papillary type I RCC from clear cell RCC and oncocytoma: application of whole-lesion volumetric ADC measurement.
    Paschall AK, Mirmomen SM, Symons R, Pourmorteza A, Gautam R, Sahai A, Dwyer AJ, Merino MJ, Metwalli AR, Linehan WM, Malayeri AA.
    Abdom Radiol (NY); 2018 Sep; 43(9):2424-2430. PubMed ID: 29520425
    [Abstract] [Full Text] [Related]

  • 14. Differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma in contrast-enhanced MDCT images using quantitative feature classification.
    Lee HS, Hong H, Jung DC, Park S, Kim J.
    Med Phys; 2017 Jul; 44(7):3604-3614. PubMed ID: 28376281
    [Abstract] [Full Text] [Related]

  • 15. Whole solid tumour volume histogram analysis of the apparent diffusion coefficient for differentiating high-grade from low-grade serous ovarian carcinoma: correlation with Ki-67 proliferation status.
    Li HM, Zhang R, Gu WY, Zhao SH, Lu N, Zhang GF, Peng WJ, Qiang JW.
    Clin Radiol; 2019 Dec; 74(12):918-925. PubMed ID: 31471063
    [Abstract] [Full Text] [Related]

  • 16. Apparent diffusion coefficient-based histogram analysis differentiates histological subtypes of periampullary adenocarcinoma.
    Lu JY, Yu H, Zou XL, Li Z, Hu XM, Shen YQ, Hu DY.
    World J Gastroenterol; 2019 Oct 28; 25(40):6116-6128. PubMed ID: 31686767
    [Abstract] [Full Text] [Related]

  • 17. Role of MR texture analysis in histological subtyping and grading of renal cell carcinoma: a preliminary study.
    Goyal A, Razik A, Kandasamy D, Seth A, Das P, Ganeshan B, Sharma R.
    Abdom Radiol (NY); 2019 Oct 28; 44(10):3336-3349. PubMed ID: 31300850
    [Abstract] [Full Text] [Related]

  • 18. Diagnostic value of texture analysis of apparent diffusion coefficient maps for differentiating fat-poor angiomyolipoma from non-clear-cell renal cell carcinoma.
    Arita Y, Yoshida S, Kwee TC, Akita H, Okuda S, Iwaita Y, Mukai K, Matsumoto S, Ueda R, Ishii R, Mizuno R, Fujii Y, Oya M, Jinzaki M.
    Eur J Radiol; 2021 Oct 28; 143():109895. PubMed ID: 34388418
    [Abstract] [Full Text] [Related]

  • 19. Characterization of breast masses as benign or malignant at 3.0T MRI with whole-lesion histogram analysis of the apparent diffusion coefficient.
    Suo S, Zhang K, Cao M, Suo X, Hua J, Geng X, Chen J, Zhuang Z, Ji X, Lu Q, Wang H, Xu J.
    J Magn Reson Imaging; 2016 Apr 28; 43(4):894-902. PubMed ID: 26343918
    [Abstract] [Full Text] [Related]

  • 20. Comparison of Utility of Histogram Apparent Diffusion Coefficient and R2* for Differentiation of Low-Grade From High-Grade Clear Cell Renal Cell Carcinoma.
    Zhang YD, Wu CJ, Wang Q, Zhang J, Wang XN, Liu XS, Shi HB.
    AJR Am J Roentgenol; 2015 Aug 28; 205(2):W193-201. PubMed ID: 26204307
    [Abstract] [Full Text] [Related]

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