Investigation of Frequency Distribution of Breast Imaging Reporting and Data System (BIRADS) Classification and Epidemiological Factors Related to Breast Cancer in Iran: A 7-year Study (2010–2016)

Document Type : Original Article

Authors

1 Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran

2 Medical school, Isfahan University of Medical Sciences, Isfahan, Iran

Abstract

Background: The first cause of women mortality due to cancer is breast cancer. Mammography plays a central part in early detection of breast cancers. The screening methods can play a major role to reduce the morbidity and mortality rate due to this malignancy. We sought the basic data in this study on our population because knowing about the baseline data is apt and vital. Materials and Methods: In this study, data were collected from a questionnaire, contained baseline bio data information, and mammographic imaging of the patients came during 7 years. Breast imaging reporting and data system (BIRADS) score, breast composition, presence of axillary lymph nodes, microcalcifications, and other incidental positive findings were determined by a radiologist and analysis was performed by SPSS package. Results: The most common indication for mammography was annual screening. The mean age of participants to the study was 55 ± 7.9 years. The majority (80%) of the patients with known breast cancer (BIRADS 6) had the extremely dense breast. The most common incidental findings in mammogram studies were focal asymmetry, architectural distortion, intramammary lymph node and accessory breasts, respectively. Conclusion: The frequency distribution of BIRADS classification in our society was clarified. It seems that the breast cancer risk is higher in women with dense breasts. Architectural distortion was also correlated to BIRADS score.

Keywords

1.
Boyle P, Levin B, Dinshaw K, Kasler M, Ngoma T, Ashton LP, et al. World Cancer Report. International Agency for Research on Cancer, 150 cours Albert Thomas, 69372 Lyon Cedex 08, France, Distributed by WHO(World Health Organization) Press; 2008.  Back to cited text no. 1
    
2.
Johnston L, Gamon J, Wolfe K, Yodder J, Freeland A, Zambro DJ, et al. Image processing: Concepts, Methodologies, Tools, and Applications, Information Resources Association. Ch. 39(753). USA (IGI Global): Austin De Marco; 2013.  Back to cited text no. 2
    
3.
DeSantis CE, Bray F, Ferlay J, Lortet-Tieulent J, Anderson BO, Jemal A, et al. International Variation in Female Breast Cancer Incidence and Mortality Rates. Cancer Epidemiol Biomarkers Prev 2015;24:1495-506. doi: 10.1158/1055-9965.EPI-15-0535.  Back to cited text no. 3
    
4.
Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin 2005;55:74-108.  Back to cited text no. 4
    
5.
Harirchi I, Karbakhsh M, Kashefi A, Momtahen AJ. Breast cancer in Iran: Results of a multi-center study. Asian Pac J Cancer Prev 2004;5:24-7.  Back to cited text no. 5
    
6.
Gudenkauf LM, Antoni MH, Stagl JM, Lechner SC, Jutagir DR, Bouchard LC, et al. Brief cognitive-behavioral and relaxation training interventions for breast cancer: A randomized controlled trial. J Consult Clin Psychol 2015;83:677-88.  Back to cited text no. 6
    
7.
Svahn TM, Chakraborty DP, Ikeda D, Zackrisson S, Do Y, Mattsson S, et al. Breast tomosynthesis and digital mammography: A comparison of diagnostic accuracy. Br J Radiol 2012;85:e1074-82.  Back to cited text no. 7
    
8.
Lee CH, Dershaw DD, Kopans D, Evans P, Monsees B, Monticciolo D, et al. Breast cancer screening with imaging: Recommendations from the society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer. Journal of the American College of Radiology 2010;17:18-27.  Back to cited text no. 8
    
9.
Mahesh M. Digital mammography: An overview. Radiographics 2004;24:1747-60.  Back to cited text no. 9
    
10.
Elmore JG, Armstrong K, Lehman CD, Fletcher SW, Screening for breast cancer. JAMA, 2011 Aug 4. Published in final edited form as. J Am Med Assoc 2005;293:1245-56.  Back to cited text no. 10
    
11.
Carney PA, Miglioretti DL, Yankaskas BC, Kerlikowske K, Rosenberg R, Rutter CM, et al. Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med 2003;138:168-75.  Back to cited text no. 11
    
12.
Kelsey JL, Gammon MD. The epidemiology of breast cancer. CA Cancer J Clin 1991;41:146-65.  Back to cited text no. 12
    
13.
Bassett LW, Hendrick RE, Bassford TL, Butler PF, Carter D, DeBor M, et al., Quality Determinants of Mammography: Clinical Practice Guideline. AHCPR Publication No. 95-0632; 2004. p. 96-8.  Back to cited text no. 13
    
14.
Sickles EA, D'Orsi CJ, Bassett LW, Appleton CM, Berg WA, Burnside ES. ACR BI-RADS®Atlas, Breast imaging reporting and data system. Reston, VA: American College of Radiology; 2013. p. 39-48.  Back to cited text no. 14
    
15.
Titus-Ernstoff L, Tosteson AN, Kasales C, Weiss J, Goodrich M, Hatch EE, et al. Breast cancer risk factors in relation to breast density (United States). Cancer Causes Control 2006;17:1281-90.  Back to cited text no. 15
    
16.
Calo WA, Vernon SW, Lairson DR, Linder SH. Area-level socioeconomic inequalities in the use of mammography screening: A Multilevel analysis of the health of Houston survey. Womens Health Issues 2016;26:201-7.  Back to cited text no. 16