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312 related items for PubMed ID: 32914197

  • 1. Effect of phase of enhancement on texture analysis in renal masses evaluated with non-contrast-enhanced, corticomedullary, and nephrographic phase-enhanced CT images.
    Nguyen K, Schieda N, James N, McInnes MDF, Wu M, Thornhill RE.
    Eur Radiol; 2021 Mar; 31(3):1676-1686. PubMed ID: 32914197
    [Abstract] [Full Text] [Related]

  • 2. Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT.
    Schieda N, Nguyen K, Thornhill RE, McInnes MDF, Wu M, James N.
    Abdom Radiol (NY); 2020 Sep; 45(9):2786-2796. PubMed ID: 32627049
    [Abstract] [Full Text] [Related]

  • 3. Differentiation of Benign From Metastatic Adrenal Masses in Patients With Renal Cell Carcinoma on Contrast-Enhanced CT.
    Sasaguri K, Takahashi N, Takeuchi M, Carter RE, Leibovich BC, Kawashima A.
    AJR Am J Roentgenol; 2016 Nov; 207(5):1031-1038. PubMed ID: 27556736
    [Abstract] [Full Text] [Related]

  • 4. The value of quantitative CT texture analysis in differentiation of angiomyolipoma without visible fat from clear cell renal cell carcinoma on four-phase contrast-enhanced CT images.
    You MW, Kim N, Choi HJ.
    Clin Radiol; 2019 Jul; 74(7):547-554. PubMed ID: 31010583
    [Abstract] [Full Text] [Related]

  • 5. Textural differences between renal cell carcinoma subtypes: Machine learning-based quantitative computed tomography texture analysis with independent external validation.
    Kocak B, Yardimci AH, Bektas CT, Turkcanoglu MH, Erdim C, Yucetas U, Koca SB, Kilickesmez O.
    Eur J Radiol; 2018 Oct; 107():149-157. PubMed ID: 30292260
    [Abstract] [Full Text] [Related]

  • 6. Clear cell renal cell carcinoma: discrimination from other renal cell carcinoma subtypes and oncocytoma at multiphasic multidetector CT.
    Young JR, Margolis D, Sauk S, Pantuck AJ, Sayre J, Raman SS.
    Radiology; 2013 May; 267(2):444-53. PubMed ID: 23382290
    [Abstract] [Full Text] [Related]

  • 7. Small renal masses (≤ 4 cm): differentiation of oncocytoma from renal clear cell carcinoma using ratio of lesion to cortex attenuation and aorta-lesion attenuation difference (ALAD) on contrast-enhanced CT.
    Gentili F, Bronico I, Maestroni U, Ziglioli F, Silini EM, Buti S, de Filippo M.
    Radiol Med; 2020 Dec; 125(12):1280-1287. PubMed ID: 32385827
    [Abstract] [Full Text] [Related]

  • 8. Subjective and objective heterogeneity scores for differentiating small renal masses using contrast-enhanced CT.
    Leng S, Takahashi N, Gomez Cardona D, Kitajima K, McCollough B, Li Z, Kawashima A, Leibovich BC, McCollough CH.
    Abdom Radiol (NY); 2017 May; 42(5):1485-1492. PubMed ID: 28025654
    [Abstract] [Full Text] [Related]

  • 9. 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; 44(10):3336-3349. PubMed ID: 31300850
    [Abstract] [Full Text] [Related]

  • 10. Qualitative and quantitative MDCT features for differentiating clear cell renal cell carcinoma from other solid renal cortical masses.
    Lee-Felker SA, Felker ER, Tan N, Margolis DJ, Young JR, Sayre J, Raman SS.
    AJR Am J Roentgenol; 2014 Nov; 203(5):W516-24. PubMed ID: 25341166
    [Abstract] [Full Text] [Related]

  • 11. Small (< 4 cm) Renal Mass: Differentiation of Oncocytoma From Renal Cell Carcinoma on Biphasic Contrast-Enhanced CT.
    Sasaguri K, Takahashi N, Gomez-Cardona D, Leng S, Schmit GD, Carter RE, Leibovich BC, Kawashima A.
    AJR Am J Roentgenol; 2015 Nov; 205(5):999-1007. PubMed ID: 26496547
    [Abstract] [Full Text] [Related]

  • 12. Prediction of Benign and Malignant Solid Renal Masses: Machine Learning-Based CT Texture Analysis.
    Erdim C, Yardimci AH, Bektas CT, Kocak B, Koca SB, Demir H, Kilickesmez O.
    Acad Radiol; 2020 Oct; 27(10):1422-1429. PubMed ID: 32014404
    [Abstract] [Full Text] [Related]

  • 13. Enhancement Threshold of Small (< 4 cm) Solid Renal Masses on CT.
    Al Harbi F, Tabatabaeefar L, Jewett MA, Finelli A, O'Malley M, Atri M.
    AJR Am J Roentgenol; 2016 Mar; 206(3):554-8. PubMed ID: 26901011
    [Abstract] [Full Text] [Related]

  • 14. Performance of Relative Enhancement on Multiphasic MRI for the Differentiation of Clear Cell Renal Cell Carcinoma (RCC) From Papillary and Chromophobe RCC Subtypes and Oncocytoma.
    Young JR, Coy H, Kim HJ, Douek M, Lo P, Pantuck AJ, Raman SS.
    AJR Am J Roentgenol; 2017 Apr; 208(4):812-819. PubMed ID: 28125273
    [Abstract] [Full Text] [Related]

  • 15. The role of diffusion-weighted MRI and contrast-enhanced MRI for differentiation between solid renal masses and renal cell carcinoma subtypes.
    Serter A, Onur MR, Coban G, Yildiz P, Armagan A, Kocakoc E.
    Abdom Radiol (NY); 2021 Mar; 46(3):1041-1052. PubMed ID: 32930832
    [Abstract] [Full Text] [Related]

  • 16. Utility of virtual unenhanced images and split-bolus injection using spectral multidetector CT for the assessment of renal cell carcinoma conspicuity and radiation dose.
    Wang W, Liu L, Zeng H, Sun C, Huang N, Zhang M.
    Int J Clin Pract; 2016 Sep; 70 Suppl 9B():B56-63. PubMed ID: 27577516
    [Abstract] [Full Text] [Related]

  • 17. 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
    [Abstract] [Full Text] [Related]

  • 18. Differentiation of Clear Cell Renal Cell Carcinoma From Other Subtypes and Fat-Poor Angiomyolipoma by Use of Quantitative Enhancement Measurement During Three-Phase MDCT.
    Kim SH, Kim CS, Kim MJ, Cho JY, Cho SH.
    AJR Am J Roentgenol; 2016 Jan; 206(1):W21-8. PubMed ID: 26700359
    [Abstract] [Full Text] [Related]

  • 19. Sonographic Features of Small (< 4 cm) Renal Tumors With Low Signal Intensity on T2-Weighted MR Images: Differentiating Minimal-Fat Angiomyolipoma From Renal Cell Carcinoma.
    Park KJ, Kim MH, Kim JK, Cho KS.
    AJR Am J Roentgenol; 2018 Sep; 211(3):605-613. PubMed ID: 30040467
    [Abstract] [Full Text] [Related]

  • 20. 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
    [Abstract] [Full Text] [Related]

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