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Journal Abstract Search


174 related items for PubMed ID: 21862820

  • 1. Automated ultrasound of the breast for diagnosis: interobserver agreement on lesion detection and characterization.
    Shin HJ, Kim HH, Cha JH, Park JH, Lee KE, Kim JH.
    AJR Am J Roentgenol; 2011 Sep; 197(3):747-54. PubMed ID: 21862820
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  • 4. Automated breast ultrasound system (ABUS): reproducibility of mass localization, size measurement, and characterization on serial examinations.
    Chang JM, Cha JH, Park JS, Kim SJ, Moon WK.
    Acta Radiol; 2015 Oct; 56(10):1163-70. PubMed ID: 25280476
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  • 6. BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value.
    Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS.
    Radiology; 2006 May; 239(2):385-91. PubMed ID: 16569780
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  • 14. Comparison of automated breast ultrasonography to handheld ultrasonography in detecting and diagnosing breast lesions.
    Jeh SK, Kim SH, Choi JJ, Jung SS, Choe BJ, Park S, Park MS.
    Acta Radiol; 2016 Feb; 57(2):162-9. PubMed ID: 25766727
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  • 16. Automated breast ultrasound: lesion detection and BI-RADS classification--a pilot study.
    Wenkel E, Heckmann M, Heinrich M, Schwab SA, Uder M, Schulz-Wendtland R, Bautz WA, Janka R.
    Rofo; 2008 Sep; 180(9):804-8. PubMed ID: 18704878
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  • 17. Comparison of conventional and automated breast volume ultrasound in the description and characterization of solid breast masses based on BI-RADS features.
    Kim H, Cha JH, Oh HY, Kim HH, Shin HJ, Chae EY.
    Breast Cancer; 2014 Jul; 21(4):423-8. PubMed ID: 23086698
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  • 18. Evaluation of an automated breast volume scanner according to the fifth edition of BI-RADS for breast ultrasound compared with hand-held ultrasound.
    Choi EJ, Choi H, Park EH, Song JS, Youk JH.
    Eur J Radiol; 2018 Feb; 99():138-145. PubMed ID: 29362145
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