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Journal Abstract Search

509 related items for PubMed ID: 17920800

  • 1. Limited value of shape, margin and CT density in the discrimination between benign and malignant screen detected solid pulmonary nodules of the NELSON trial.
    Xu DM, van Klaveren RJ, de Bock GH, Leusveld A, Zhao Y, Wang Y, Vliegenthart R, de Koning HJ, Scholten ET, Verschakelen J, Prokop M, Oudkerk M.
    Eur J Radiol; 2008 Nov; 68(2):347-52. PubMed ID: 17920800
    [Abstract] [Full Text] [Related]

  • 2. Role of baseline nodule density and changes in density and nodule features in the discrimination between benign and malignant solid indeterminate pulmonary nodules.
    Xu DM, van Klaveren RJ, de Bock GH, Leusveld AL, Dorrius MD, Zhao Y, Wang Y, de Koning HJ, Scholten ET, Verschakelen J, Prokop M, Oudkerk M.
    Eur J Radiol; 2009 Jun; 70(3):492-8. PubMed ID: 18417311
    [Abstract] [Full Text] [Related]

  • 3. Influence of lung nodule margin on volume- and diameter-based reader variability in CT lung cancer screening.
    Han D, Heuvelmans MA, Vliegenthart R, Rook M, Dorrius MD, de Jonge GJ, Walter JE, van Ooijen PMA, de Koning HJ, Oudkerk M.
    Br J Radiol; 2018 Oct; 91(1090):20170405. PubMed ID: 28972803
    [Abstract] [Full Text] [Related]

  • 4. Features of resolving and nonresolving indeterminate pulmonary nodules at follow-up CT: the NELSON study.
    Zhao YR, Heuvelmans MA, Dorrius MD, van Ooijen PM, Wang Y, de Bock GH, Oudkerk M, Vliegenthart R.
    Radiology; 2014 Mar; 270(3):872-9. PubMed ID: 24475806
    [Abstract] [Full Text] [Related]

  • 5. Differentiation of malignant and benign pulmonary nodules with quantitative first-pass 320-detector row perfusion CT versus FDG PET/CT.
    Ohno Y, Koyama H, Matsumoto K, Onishi Y, Takenaka D, Fujisawa Y, Yoshikawa T, Konishi M, Maniwa Y, Nishimura Y, Ito T, Sugimura K.
    Radiology; 2011 Feb; 258(2):599-609. PubMed ID: 21273522
    [Abstract] [Full Text] [Related]

  • 6. Smooth or attached solid indeterminate nodules detected at baseline CT screening in the NELSON study: cancer risk during 1 year of follow-up.
    Xu DM, van der Zaag-Loonen HJ, Oudkerk M, Wang Y, Vliegenthart R, Scholten ET, Verschakelen J, Prokop M, de Koning HJ, van Klaveren RJ.
    Radiology; 2009 Jan; 250(1):264-72. PubMed ID: 18984780
    [Abstract] [Full Text] [Related]

  • 7. [Three Dimensional Volumetric Analysis of Solid Pulmonary Nodules on Chest CT: 
Cancer Risk Assessment].
    Li M, Han R, Song W, Wang X, Guo F, Su D, Yu T, Wang Y.
    Zhongguo Fei Ai Za Zhi; 2016 May 20; 19(5):279-85. PubMed ID: 27215456
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  • 9. Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy.
    Li F, Aoyama M, Shiraishi J, Abe H, Li Q, Suzuki K, Engelmann R, Sone S, Macmahon H, Doi K.
    AJR Am J Roentgenol; 2004 Nov 20; 183(5):1209-15. PubMed ID: 15505279
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  • 16. Transient part-solid nodules detected at screening thin-section CT for lung cancer: comparison with persistent part-solid nodules.
    Lee SM, Park CM, Goo JM, Lee CH, Lee HJ, Kim KG, Kang MJ, Lee IS.
    Radiology; 2010 Apr 20; 255(1):242-51. PubMed ID: 20173104
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  • 17. Effect of nodule characteristics on variability of semiautomated volume measurements in pulmonary nodules detected in a lung cancer screening program.
    Wang Y, van Klaveren RJ, van der Zaag-Loonen HJ, de Bock GH, Gietema HA, Xu DM, Leusveld AL, de Koning HJ, Scholten ET, Verschakelen J, Prokop M, Oudkerk M.
    Radiology; 2008 Aug 20; 248(2):625-31. PubMed ID: 18641255
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