Comparison of inter- and intra-observer variability of breast density assessments using the fourth and fifth editions of Breast Imaging Reporting and Data System

Afsaneh Alikhassi, Hamed Esmaili Gourabi, Masoud Baikpour, Afsaneh Alikhassi, Hamed Esmaili Gourabi, Masoud Baikpour

Abstract

Background: Breast density is a well-known independent risk factor for breast cancer and can significantly affect the sensitivity of screening mammograms.

Objective: We aimed to evaluate the intra- and inter-observer consistencies of breast density assessments using methods outlined in the fourth and fifth editions of the American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) guidelines to determine which method is more reliable.

Materials and methods: Three radiologists with subspecialties in breast imaging defined breast density in 72 mammograms four times each: twice using the fourth edition of the ACR BI-RADS guidelines and twice using the fifth edition. The intra- and inter-observer agreements were calculated and compared for each method.

Results: The weighted kappa values for the overall intra-observer agreement were 0.955 (95% confidence interval [CI]: 0.931-0.980) and 0.938 (95% CI: 0.907-0.968) when breast densities were assessed according to criteria outlined in the fourth and fifth ACR BI-RADS editions, respectively. The difference between these values was not statistically significant (p = .4). The overall Fleiss-Cohen (quadratic) weighted kappa for inter-observer agreement were 0.623 (95% CI: 0.517-0.729) and 0.702 (95% CI: 0.589-0.815) when breast densities were assessed according to criteria outlined in the fourth and fifth ACR BI-RADS editions, respectively. The difference between these values was not statistically significant (p = .32). Similarly, there were no significant differences in the evaluation of breast density (overall) when comparing breast density assignment using criteria outlined in the fourth and fifth ACR BI-RADS edition (p = .582).

Conclusion: The ACR BI-RADS guideline is an acceptable method to classify breast density, resulting in substantial inter-observer agreements using criteria outlined in both the fourth and fifth editions. The intra-observer agreement was nearly perfect for radiologists using criteria outlined in both sets of guidelines. Moreover, although the percentage of women who were classified as having dense breasts was higher when radiologists used the fifth edition of ACR BI-RADS guidelines than when they used the fourth edition, this difference was not statistically significant.

Keywords: Breast density; Inter-observer variability; Intra-observer variability; Mammography.

Figures

Fig. 1
Fig. 1
CC views mammographies of four different patients: breasts with less than 25% glandular density (a; BI-RADS density 1), 25%–50% glandular density (b; BI-RADS density 2), 50%–75% density (c; BI-RADS density 3), and 50%–75% glandular density (d; BI-RADS density 4) are shown; values are based on the fourth edition BI-RADS guidelines (2003).
Fig. 2
Fig. 2
Right breast mammography of a 45-year-old woman who was referred for a screening mammogram. a) Craniocaudal, CC; b) Mediolateral oblique, MLO. Her full digital mammogram was reported and her breast density was categorized as BI-RADS density 2 based on criteria outlined in the fourth ACR BI-RADS edition. Although the amount of fibroglandular tissue in her breast was below 50 percent, her breast density was categorized as BI-RADS density C based on criteria outlined in the fifth ACR BI-RADS edition because the tissue in the upper outer region of the breast was capable of obscuring a small mass.

References

    1. Tesic V., Kolaric B., Znaor A., Kuna S.K., Brkljacic B. Mammographic density and estimation of breast cancer risk in intermediate risk population. Breast J. 2013;19(1):71–78.
    1. Saarenmaa I., Salminen T., Geiger U., Heikkinen P., Hyvärinen S., Isola J. The effect of age and density of the breast on the sensitivity of breast cancer diagnostic by mammography and ultrasonography. Breast Cancer Res. Treat. 2001;67(2):117–123.
    1. Park C.C., Rembert J., Chew K., Moore D., Kerlikowske K. High mammographic breast density is independent predictor of local but not distant recurrence for invasive breast cancer. Int. J. Radiat. Oncol. Biol. Phys. 2009;73:75.
    1. McCormack V.A., dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol. Biomark. Prev. 2006;15:1159–1169.
    1. Yaghjyan L., Colditz G.A., Collins L.C., Schnitt S.J., Rosner B., Vachon C. Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics. J. Natl. Cancer Inst. 2011;103(15):1179.
    1. Tice J.A., Cummings S.R., Smith-Bindman R., Ichikawa L., Barlow W.E., Kerlikowske K. Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model. Ann. Intern. Med. 2008;148:337–347.
    1. Berg W.A., Zhang Z., Lehrer D. Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA. 2012;307(13):1394–1404.
    1. Wolfe J.N. Breast patterns as an index of risk for developing breast cancer. AJR Am. J. Roentgenol. 1976;126(6):1130–1137.
    1. Boyd N.F., Byng J.W., Jong R.A., Fishell E.K., Little E., Miller A.B. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian national breast screening study. J. Natl. Cancer Inst. 1995;87(9):670–675.
    1. Gram I.T., Funkhouser E., Tabar L. The Tabar classification of mammographic parenchymal patterns. Eur. J. Radiol. 1997;24:131–136.
    1. Jeffreys M., Warren R., Highnam R., Smith G.D. Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form. Br. J. Radiol. 2006;79(941):378–382.
    1. D’Orsi C.J., Mendelson E.B., Ikeda D.M. ACR BI-RADS. 4th ed. American College of Radiology; Reston, VA: 2003. Breast imaging reporting and data system.
    1. D’Orsi C.J., Mendelson E.B., Ikeda D.M. ACR BI-RADS. 5th ed. American College of Radiology; Reston, VA: 2013. Breast imaging reporting and data system.
    1. Giraudeau B., Mary J.Y. Planning a reproducibility study: how many subjects and how many replicates per subject for an expected width of the 95 per cent confidence interval of the intraclass correlation coefficient. Stat. Med. 2001;20:3205–3214.
    1. Kundel H.L., Polansky M. Measurement of observer agreement. Radiology. 2003;228:303–308.
    1. Fleiss J.L. Measuring nominal scale agreement among many raters. Psychol. Bull. 1971;76(5):378.
    1. Fleiss J.L., Cohen J. The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educ. Psychol. Meas. 1973;33(3):613–619.
    1. Kerlikowske K., Grady D., Barclay J., Frankel S.D., Ominsky S.H., Sickles E.A. Variability and accuracy in mammographic interpretation using the American college of radiology breast imaging reporting and data system. J. Nat. Cancer Inst. 1998;90:1801–1809.
    1. Berg W.A., Campassi C., Langenberg P., Sexton M.J. Breast imaging reporting and data system: inter- and intraobserver variability in feature analysis and final assessment. Am. J. Roentgenol. 2000;174(6):1769–1777.
    1. Ciatto S., Houssami N., Apruzzese A., Bassetti E., Brancato B., Carozzi F. Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories. Breast. 2005;14(4):269–275.
    1. Ooms E.A., Zonderland H.M., Eijkemans M.J., Kriege M., Mahdavian D.B., Burger C.W. Mammography: interobserver variability in breast density assessment. Breast. 2007;16(6):568–576.
    1. Gard C.C., Aiello Bowles E.J., Miglioretti D.L., Taplin S.H., Rutter C.M. Misclassification of breast imaging reporting and data system (bi-rads) mammographic density and implications for breast density reporting legislation. Breast J. 2015;21(5):481–489.
    1. Redondo A., Comas M., Macia F., Ferrer F., Murta-nascimento C., Maristany M.T. Inter- and intraradiologist variability in the BI-RADS assessment and breast density categories for screening mammograms. Br. J. Radiol. 2012;85(1019):1465–1470.
    1. Ekpo E., Ujong U., Mello-Thoms C., McEntee M. Assessment of interradiologist agreement regarding mammographic breast density classification using the fifth edition of the BI-RADS Atlas. Am. J. Roentgenol. 2016;206:1119–1123.
    1. Irshad A., Leddy R., Ackerman S., Cluver A., Pavic D., Abid A. Effects of changes in bi-rads density assessment guidelines (fourth versus fifth edition) on breast density assessment: intra- and interreader agreements and density distribution. Am. J. Roentgenol. 2016;207(6):1366–1371.

Source: PubMed

3
Subscribe