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Original Research

A National Chinese Survey on Ultrasound Feature Interpretation and Risk Assessment of Breast Masses Under ACR BI-RADS

ORCID Icon, , , &
Pages 9107-9115 | Published online: 11 Dec 2021

References

  • Wild C, Weiderpass E, Stewart BW. World cancer report: cancer research for cancer prevention. Lyon: International Agency for Research on Cancer. 2020.
  • Kolb TM, Lichy J, Newhouse JH. Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology. 2002;225(1):165–175. doi:10.1148/radiol.225101166712355001
  • McCormack VA, dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2006;15(6):1159–1169. doi:10.1158/1055-9965.EPI-06-003416775176
  • Del Carmen MG, Halpern EF, Kopans DB, et al. Mammographic breast density and race. AJR Am J Roentgenol. 2007;188(4):1147–1150. doi:10.2214/AJR.06.061917377060
  • Yang Y, Liu J, Gu R, et al. Influence of factors on mammographic density in premenopausal Chinese women. Eur J Cancer Prev. 2016;25(4):306–311. doi:10.1097/CEJ.000000000000017726075657
  • American College of Radiology. Breast Imaging Reporting and Data System (BIRADS). Reston, VA; 1993.
  • Mendelson E, Baum J, Berg W, Merritt C, Rubin E. Breast imaging reporting and data system (BI-RADS®). American College of Radiology; 2003.
  • D’Orsi C, Morris E, Mendelson E. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology; 2013.
  • Mendelson EB, Böhm-Vélez M, Berg WA. ACR BI-RADS® Ultrasound. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology; 2013.
  • Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76(5):378–382. doi:10.1037/h0031619
  • Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174. doi:10.2307/2529310843571
  • Eghtedari M, Chong A, Rakow-Penner R, Ojeda-Fournier H. Current status and future of BI-RADS in multimodality imaging, from the AJR special series on radiology reporting and data systems. AJR Am J Roentgenol. 2021;216(4):860–873. doi:10.2214/AJR.20.2489433295802
  • Schwab F, Redling K, Siebert M, Schötzau A, Schoenenberger CA, Zanetti-Dällenbach R. Inter- and intra-observer agreement in ultrasound BI-RADS classification and real-time elastography Tsukuba score assessment of breast lesions. Ultrasound Med Biol. 2016;42(11):2622–2629. doi:10.1016/j.ultrasmedbio.2016.06.01727503826
  • Lee YJ, Choi SY, Kim KS, Yang PS. Variability in observer performance between faculty members and residents using Breast Imaging Reporting and Data System (BI-RADS)-ultrasound, fifth edition (2013). Iran J Radiol. 2016;13(3):e28281. doi:10.5812/iranjradiol.2828127853492
  • Park CS, Kim SH, Jung NY, Choi JJ, Kang BJ, Jung HS. Interobserver variability of ultrasound elastography and the ultrasound BI-RADS lexicon of breast lesions. Breast Cancer. 2015;22(2):153–160. doi:10.1007/s12282-013-0465-323584596
  • Lee HJ, Kim EK, Kim MJ, et al. Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound. Eur J Radiol. 2008;65(2):293–298. doi:10.1016/j.ejrad.2007.04.00817531417
  • Park CS, Lee JH, Yim HW, et al. Observer agreement using the ACR Breast Imaging Reporting and Data System (BI-RADS)-ultrasound, first edition (2003). Korean J Radiol. 2007;8(5):397–402. doi:10.3348/kjr.2007.8.5.39717923782
  • Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS. BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value. Radiology. 2006;239(2):385–391. doi:10.1148/radiol.239204212716569780
  • Pfob A, Barr RG, Duda V, et al. A new practical decision rule to better differentiate BI-RADS © 3 or 4 breast masses on breast ultrasound. J Ultrasound Med. 2021. doi:10.1002/jum.15722
  • Liberman L, Abramson AF, Squires FB, Glassman JR, Morris EA, Dershaw DD. The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories. AJR Am J Roentgenol. 1998;171(1):35–40. doi:10.2214/ajr.171.1.96487599648759
  • Bent CK, Bassett LW, D’Orsi CJ, Sayre JW. The positive predictive value of BI-RADS microcalcification descriptors and final assessment categories. AJR Am J Roentgenol. 2010;194(5):1378–1383. doi:10.2214/AJR.09.342320410428
  • Burnside ES, Ochsner JE, Fowler KJ, et al. Use of microcalcification descriptors in BI-RADS 4th edition to stratify risk of malignancy. Radiology. 2007;242(2):388–395. doi:10.1148/radiol.242205213017255409
  • Yao MM, Joe BN, Sickles EA, Lee CS. BI-RADS category 5 assessments at diagnostic breast imaging: outcomes analysis based on lesion descriptors. Acad Radiol. 2019;26(8):1048–1052. doi:10.1016/j.acra.2018.07.01830195413
  • Berg WA, D’Orsi CJ, Jackson VP, et al. Does training in the Breast Imaging Reporting and Data System (BI-RADS) improve biopsy recommendations or feature analysis agreement with experienced breast imagers at mammography? Radiology. 2002;224(3):871–880. doi:10.1148/radiol.224301162612202727
  • Stavros AT, Thickman D, Rapp CL, Dennis MA, Parker SH, Sisney GA. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions. Radiology. 1995;196(1):123–134. doi:10.1148/radiology.196.1.77845557784555
  • Lawson BT, Vinnicombe S, Whelehan P, Macaskill EJ, Sim YT, Evans A. Associations between the ultrasound features of invasive breast cancer and breast cancer specific survival. Clin Radiol. 2020;75(11):879.e813–879.e821. doi:10.1016/j.crad.2020.07.012
  • Korpraphong P, Tritanon O, Tangcharoensathien W, Angsusinha T, Chuthapisith S. Ultrasonographic characteristics of mammographically occult small breast cancer. J Breast Cancer. 2012;15(3):344–349. doi:10.4048/jbc.2012.15.3.34423091548
  • Santana Montesdeoca JM, Gómez Arnáiz A, Fuentes Pavón R, Alemán Flores P, Limiñana Cañal JM, Jorrín Moreno A. [Diagnostic accuracy and interobserver variability in the BI-RADS ultrasound system]. Radiologia. 2009;51(5):477–486. Spanish. doi:10.1016/j.rx.2009.03.00119604529
  • Abdullah N, Mesurolle B, El-Khoury M, Kao E. Breast imaging reporting and data system lexicon for US: interobserver agreement for assessment of breast masses. Radiology. 2009;252(3):665–672. doi:10.1148/radiol.252308067019567644
  • Hong AS, Rosen EL, Soo MS, Baker JA. BI-RADS for sonography: positive and negative predictive values of sonographic features. AJR Am J Roentgenol. 2005;184(4):1260–1265. doi:10.2214/ajr.184.4.0184126015788607
  • Yang Y, Hu Y, Shen S, et al. A new nomogram for predicting the malignant diagnosis of Breast Imaging Reporting and Data System (BI-RADS) ultrasonography category 4A lesions in women with dense breast tissue in the diagnostic setting. Quant Imaging Med Surg. 2021;11(7):3005–3017. doi:10.21037/qims-20-120334249630