References
D’Orsi CJ, Bassett LW, Berg WA et al (2003) Breast imaging reporting and data system: ACR BI-RADS, 4th edn. American College of Radiology, Reston
Mendelson EB, Böhm-Vélez M, Berg WA, et al (2013) ACR BI-RADS® Ultrasound. In: ACR BI-RADS® atlas, breast imaging reporting and data system. American College of Radiology, Reston
Mercado CL (2014) BI-RADS update. Radiol Clin N Am 52(3):481–487
Hong AS, Rosen EL, Soo MS, Baker JA (2005) BI-RADS for sonography: positive and negative predictive values of sonographic features. Am J Roentgenol 184(4):1260–1265
Raza S, Goldkamp AL, Chikarmane SA, Birdwell RL (2010) US of breast masses categorized as BI-RADS 3, 4, and 5: pictorial review of factors influencing clinical management. Radiographics 30(5):1199–1213
Jalalian A, Mashohor SB, Mahmud HR, Saripan MI, Ramli AR, Karasfi B (2013) Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review. Clin Imaging 37(3):420–426
Wengert GJ, Helbich TH, Woitek R et al (2016) Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment. Eur Radiol 26(11):3917–3922
Buchbinder SS, Leichter IS, Lederman RB, Novak B, Bamberger PN, Sklair-Levy M, Yarmish G, Fields SI (2004) Computer-aided classification of BI-RADS category 3 breast lesions. Radiology 230(3):820–823
Shen WC, Chang RF, Moon WK (2007) Computer aided classification system for breast ultrasound based on breast imaging reporting and data system (BI-RADS). Ultrasound Med Biol 33(11):1688–1698
Kim K, Song MK, Kim EK, Yoon JH (2017) Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist. Ultrasonography 36(1):3–9
Lee JH, Seong YK, Chang CH, Ko EY, Cho BH, Ku J, et al (2013) Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features. In: Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86701; 2013 Feb 28; Lake Buena Vista, FL, USA
Sedgwick E (2011) The breast ultrasound lexicon: breast imaging reporting and data system (BI-RADS). Semin Roentgenol 46(4):245–251
DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44(3):837–845
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174
Hooley RJ, Scoutt LM, Philpotts LE (2013) Breast ultrasonography: state of the art. Radiology 268(3):642–659
Abdullah N, Mesurolle B, El-Khoury M, Kao E (2009) Breast imaging reporting and data system lexicon for US: interobserver agreement for assessment of breast masses. Radiology 252(3):665–672
Bartolotta TV, Ienzi R, Cirino A et al (2011) Characterisation of indeterminate focal breast lesions on grey-scale ultrasound: role of ultrasound elastography. Radiol Med (Torino) 116(7):1027–1038
Gilbert FJ, Astley SM, Gillan MG et al (2008) Single reading with computer-aided detection for screening mammography. N Engl J Med 359(16):1675–1684
Samulski M, Hupse R, Boetes C, Mus RD, den Heeten GJ, Karssemeijer N (2010) Using computer-aided detection in mammography as a decision support. Eur Radiol 20(10):2323–2330
Hupse R, Samulski M, Lobbes M et al (2013) Standalone computer-aided detection compared to radiologists’ performance for the detection of mammographic masses. Eur Radiol 23(1):93–100
Bitencourt AG, Graziano L, Osório CA et al (2016) MRI features of mucinous cancer of the breast: correlation with pathologic findings and other imaging methods. Am J Roentgenol 206(2):238–246
Tan H, Zhang S, Liu H et al (2012) Imaging findings in phyllodes tumors of the breast. Eur J Radiol 81(1):e62–e69. https://doi.org/10.1016/j.ejrad.2011.01.085
Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS (2006) BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value. Radiology 239(2):385–391
Lee HJ, Kim EK, Kim MJ et al (2008) Observer variability of breast imaging reporting and data system (BI-RADS) for breast ultrasound. Eur J Radiol 65(2):293–298
Dorrius MD, Jansen-van der Weide MC, van Ooijen PM, Pijnappel RM, Oudkerk M (2011) Computer-aided detection in breast MRI: a systematic review and meta-analysis. Eur Radiol 21(8):1600–1608
Timmers JM, van Doorne-Nagtegaal HJ, Zonderland HM et al (2012) The breast imaging reporting and data system (BI-RADS) in the Dutch breast cancer screening programme: its role as an assessment and stratification tool. Eur Radiol 22(8):1717–1723
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
Prof. Tommaso Vincenzo Bartolotta has lectured for Samsung. Doctor Vito Cantisani has lectured for Samsung.
Ethical approval
The authors have read and complied with the policy of the journal on ethical consent.
Rights and permissions
About this article
Cite this article
Bartolotta, T.V., Orlando, A., Cantisani, V. et al. Focal breast lesion characterization according to the BI-RADS US lexicon: role of a computer-aided decision-making support. Radiol med 123, 498–506 (2018). https://doi.org/10.1007/s11547-018-0874-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11547-018-0874-7