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495 related items for PubMed ID: 30324296

  • 1. Can contrast-enhanced ultrasound and acoustic radiation force impulse imaging characterize CT-indeterminate renal masses? A prospective evaluation with histological confirmation.
    Thaiss WM, Bedke J, Kruck S, Spira D, Stenzl A, Nikolaou K, Horger M, Kaufmann S.
    World J Urol; 2019 Jul; 37(7):1339-1346. PubMed ID: 30324296
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  • 2. Quantitative computer-aided diagnostic algorithm for automated detection of peak lesion attenuation in differentiating clear cell from papillary and chromophobe renal cell carcinoma, oncocytoma, and fat-poor angiomyolipoma on multiphasic multidetector computed tomography.
    Coy H, Young JR, Douek ML, Brown MS, Sayre J, Raman SS.
    Abdom Radiol (NY); 2017 Jul; 42(7):1919-1928. PubMed ID: 28280876
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  • 4. Papillary renal cell carcinoma and clear cell renal cell carcinoma: Differentiation of distinct histological types with contrast - enhanced ultrasonography.
    Xue LY, Lu Q, Huang BJ, Li Z, Li CX, Wen JX, Wang WP.
    Eur J Radiol; 2015 Oct; 84(10):1849-56. PubMed ID: 26149528
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  • 7. Evaluation of Acoustic Radiation Force Impulse (ARFI) imaging and contrast-enhanced ultrasound in renal tumors of unknown etiology in comparison to histological findings.
    Clevert DA, Stock K, Klein B, Slotta-Huspenina J, Prantl L, Heemann U, Reiser M.
    Clin Hemorheol Microcirc; 2009 Oct; 43(1-2):95-107. PubMed ID: 19713604
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  • 9. The value of real-time contrast-enhanced ultrasound combined with CT enhancement in the differentiation of subtypes of renal cell carcinoma.
    Liang RX, Wang H, Zhang HP, Ye Q, Zhang Y, Zheng MJ, Xue ES, Zhu YF.
    Urol Oncol; 2021 Dec; 39(12):837.e19-837.e28. PubMed ID: 34654644
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  • 14. 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
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  • 16. Quantitative evaluation of contrast-enhanced ultrasound for differentiation of renal cell carcinoma subtypes and angiomyolipoma.
    Li CX, Lu Q, Huang BJ, Xue LY, Yan LX, Zheng FY, Wen JX, Wang WP.
    Eur J Radiol; 2016 Apr; 85(4):795-802. PubMed ID: 26971426
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  • 17. Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.
    Zabihollahy F, Schieda N, Krishna S, Ukwatta E.
    Eur Radiol; 2020 Sep; 30(9):5183-5190. PubMed ID: 32350661
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  • 19. Deep learning and radiomics: the utility of Google TensorFlow™ Inception in classifying clear cell renal cell carcinoma and oncocytoma on multiphasic CT.
    Coy H, Hsieh K, Wu W, Nagarajan MB, Young JR, Douek ML, Brown MS, Scalzo F, Raman SS.
    Abdom Radiol (NY); 2019 Jun; 44(6):2009-2020. PubMed ID: 30778739
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