참고문헌
- Shen S, Zhou Y, Xu Y, Zhang B, Duan X, Huang R, et al. A multi-centre randomised trial comparing ultrasound vs mammography for screening breast cancer in high-risk Chinese women. Br J Cancer 2015;112:998-1004 https://doi.org/10.1038/bjc.2015.33
- Sprague BL, Stout NK, Schechter C, van Ravesteyn NT, Cevik M, Alagoz O, et al. Benefits, harms, and cost-effectiveness of supplemental ultrasonography screening for women with dense breasts. Ann Intern Med 2015;162:157-166 https://doi.org/10.7326/M14-0692
- Rella R, Belli P, Giuliani M, Bufi E, Carlino G, Rinaldi P, et al. Automated breast ultrasonography (ABUS) in the screening and diagnostic setting: indications and practical use. Acad Radiol 2018;25:1457-1470
- Kim SH, Kim HH, Moon WK. Automated breast ultrasound screening for dense breasts. Korean J Radiol 2020;21:15-24 https://doi.org/10.3348/kjr.2019.0176
- Kotsianos-Hermle D, Hiltawsky KM, Wirth S, Fischer T, Friese K, Reiser M. Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound. Eur J Radiol 2009;71:109-115 https://doi.org/10.1016/j.ejrad.2008.04.001
- Wang ZL, Xu JH, Li JL, Huang Y, Tang J. Comparison of automated breast volume scanning to hand-held ultrasound and mammography. Radiol Med 2012;117:1287-1293 https://doi.org/10.1007/s11547-012-0836-4
- Wang HY, Jiang YX, Zhu QL, Zhang J, Dai Q, Liu H, et al. Differentiation of benign and malignant breast lesions: a comparison between automatically generated breast volume scans and handheld ultrasound examinations. Eur J Radiol 2012;81:3190-3200 https://doi.org/10.1016/j.ejrad.2012.01.034
- Lin X, Wang J, Han F, Fu J, Li A. Analysis of eighty-one cases with breast lesions using automated breast volume scanner and comparison with handheld ultrasound. Eur J Radiol 2012;81:873-878 https://doi.org/10.1016/j.ejrad.2011.02.038
- Chen L, Chen Y, Diao XH, Fang L, Pang Y, Cheng AQ, et al. Comparative study of automated breast 3-D ultrasound and handheld B-mode ultrasound for differentiation of benign and malignant breast masses. Ultrasound Med Biol 2013;39:1735-1742 https://doi.org/10.1016/j.ultrasmedbio.2013.04.003
- Xiao Y, Zhou Q, Chen Z. Automated breast volume scanning versus conventional ultrasound in breast cancer screening. Acad Radiol 2015;22:387-399 https://doi.org/10.1016/j.acra.2014.08.013
- Zheng FY, Yan LX, Huang BJ, Xia HS, Wang X, Lu Q, et al. Comparison of retraction phenomenon and BI-RADS-US descriptors in differentiating benign and malignant breast masses using an automated breast volume scanner. Eur J Radiol 2015;84:2123-2129 https://doi.org/10.1016/j.ejrad.2015.07.028
- Vourtsis A, Kachulis A. The performance of 3D ABUS versus HHUS in the visualisation and BI-RADS characterisation of breast lesions in a large cohort of 1,886 women. Eur Radiol 2018;28:592-601 https://doi.org/10.1007/s00330-017-5011-9
- Rotten D, Levaillant JM, Zerat L. Analysis of normal breast tissue and of solid breast masses using three-dimensional ultrasound mammography. Ultrasound Obstet Gynecol 1999;14:114-124 https://doi.org/10.1046/j.1469-0705.1999.14020114.x
- Watermann DO, Foldi M, Hanjalic-Beck A, Hasenburg A, Lughausen A, Prompeler H, et al. Three-dimensional ultrasound for the assessment of breast lesions. Ultrasound Obstet Gynecol 2005;25:592-598 https://doi.org/10.1002/uog.1909
- Jiang J, Chen YQ, Xu YZ, Chen ML, Zhu YK, Guan WB, et al. Correlation between three-dimensional ultrasound features and pathological prognostic factors in breast cancer. Eur Radiol 2014;24:1186-1196 https://doi.org/10.1007/s00330-014-3135-8
- American College of Radiology. BI-RADS: ultrasound. Breast imaging reporting and data system atlas, 5th ed. Reston: American College of Radiology, 2013
- Uematsu T. Non-mass-like lesions on breast ultrasonography: a systematic review. Breast Cancer 2012;19:295-301 https://doi.org/10.1007/s12282-012-0364-z
- Ko KH, Jung HK, Kim SJ, Kim H, Yoon JH. Potential role of shear-wave ultrasound elastography for the differential diagnosis of breast non-mass lesions: preliminary report. Eur Radiol 2014;24:305-311
- Wang ZL, Li N, Li M, Wan WB. Non-mass-like lesions on breast ultrasound: classification and correlation with histology. Radiol Med 2015;120:905-910 https://doi.org/10.1007/s11547-014-0493-x
- Ko KH, Hsu HH, Yu JC, Peng YJ, Tung HJ, Chu CM, et al. Non-mass-like breast lesions at ultrasonography: feature analysis and BI-RADS assessment. Eur J Radiol 2015;84:77-85 https://doi.org/10.1016/j.ejrad.2014.10.010
- Choi JS, Han BK, Ko EY, Ko ES, Shin JH, Kim GR. Additional diagnostic value of shear-wave elastography and color Doppler US for evaluation of breast non-mass lesions detected at B-mode US. Eur Radiol 2016;26:3542-3549 https://doi.org/10.1007/s00330-015-4201-6
- Park JW, Ko KH, Kim EK, Kuzmiak CM, Jung HK. Non-mass breast lesions on ultrasound: final outcomes and predictors of malignancy. Acta Radiol 2017;58:1054-1060 https://doi.org/10.1177/0284185116683574
- Park SY, Choi JS, Han BK, Ko EY, Ko ES. Shear wave elastography in the diagnosis of breast non-mass lesions: factors associated with false negative and false positive results. Eur Radiol 2017;27:3788-3798 https://doi.org/10.1007/s00330-017-4763-6
- Kim SH. Image quality and artifacts in automated breast ultrasonography. Ultrasonography 2019;38:83-91 https://doi.org/10.14366/usg.18016
- Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159-174 https://doi.org/10.2307/2529310
- Zhang J, Lai XJ, Zhu QL, Wang HY, Jiang YX, Liu H, et al. Interobserver agreement for sonograms of breast lesions obtained by an automated breast volume scanner. Eur J Radiol 2012;81:2179-2183 https://doi.org/10.1016/j.ejrad.2011.06.043
- Kalmantis K, Dimitrakakis C, Koumpis Ch, Tsigginou A, Papantoniou N, Mesogitis S, et al. The contribution of three-dimensional power Doppler imaging in the preoperative assessment of breast tumors: a preliminary report. Obstet Gynecol Int 2009;2009:530579
- van Zelst JCM, Balkenhol M, Tan T, Rutten M, Imhof-Tas M, Bult P, et al. Sonographic phenotypes of molecular subtypes of invasive ductal cancer in automated 3-D breast ultrasound. Ultrasound Med Biol 2017;43:1820-1828 https://doi.org/10.1016/j.ultrasmedbio.2017.03.019
- Brem RF, Tabar L, Duffy SW, Inciardi MF, Guingrich JA, Hashimoto BE, et al. Assessing improvement in detection of breast cancer with three-dimensional automated breast US in women with dense breast tissue: the somoInsight study. Radiology 2015;274:663-673 https://doi.org/10.1148/radiol.14132832
- Sica GT. Bias in research studies. Radiology 2006;238:780-789 https://doi.org/10.1148/radiol.2383041109