Journal of Isfahan Medical School

Journal of Isfahan Medical School

Investigating the Frequency Distribution of Breast Imaging Reporting and Data System (BIRADS) Classification and its Changes in Mammographic Findings in a Private Center in Isfahan City, Iran, during the Years 2010 to 2014

Document Type : Original Article (s)

Authors
Mehri Sirous 1
Amirmasoud Airours 2
Parisa Sotoodeh-Shahnani 3
1 Associate Professor, Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
2 General Practitioner, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
3 Radiologist, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
10.22122/jims.v36i470.8790
Abstract
Background: Cancer screening and timely cancer diagnosis is of the effective ways to reduce mortality rates and treatment costs. Therefore, the present research intended to take an effectual step in early diagnosis of breast cancer, in knowledge level enhancement regarding the importance of carrying out mammograms, and in provision of physical healthcare to people through prevention of cancer by determining frequencies of malignant breast cancers in mammographic X-ray examinations and prevalence rate of breast cancer in Isfahan Province, Iran.Methods: This descriptive-cross-sectional study was conducted at a private imaging center in Isfahan City, in years 2016-2017. The statistical population was mammography reports present at the center for the period of 2010-2014. The researcher visited the unit responsible for file and electronic archives of this center and extracted mammography information related to 924 patients. This information concerned mammography study of both breasts using the mediolateral and craniocaudal views. The mammograms were interpreted by an expert radiologist and were classified based on the Breast Imaging Reporting and Data System (BIRADS) classification.Findings: There was no significant relationship between the age and BIRADS class (P > 0.050), but a significant relationship was observed between breast tissue density and this classification system (P < 0.050). Moreover, there was a relationship between mammographic findings such as architectural distortion and BIRADS class (P < 0.050).Conclusion: Classifying mammographic findings in BIRADS is useful in predicting malignancy.
Keywords
Breast Cancer
Mammography
Digital breast tomosynthesis
  1. Berek JS, Novak E. Berek and Novak's gynecology. Phladelphia, PA: Lippincott Williams and Wilkins; 2007. p. 1605.
  2. Ward E, Jemal A, Cokkinides V, Singh GK, Cardinez C, Ghafoor A, et al. Cancer disparities by race/ethnicity and socioeconomic status. CA Cancer J Clin 2004; 54(2): 78-93.
  3. Ferlay J, Bray F, Pisani P, Parkin DM. GLOBOCAN 2000: Cancer Incidence, Mortality and Prevalence Worldwide, version 1.0. IARC CancerBase No. 5. Lyon, Frace: IARC Press, 2001.
  4. Fletcher SW, Hayes DF, Sokol NH. Screening average risk women for breast cancer [Online]. [cited 2008 May 31]; Available from: URL:
  5. https://www.uptodate.com/contents/screening-for-breast-cancer-strategies-and-recommendations?view=print#H3176979430
  6. Kerlikowske K, Ichikawa L, Miglioretti DL, Buist DS, Vacek PM, Smith-Bindman R, et al. Longitudinal measurement of clinical mammographic breast density to improve estimation of breast cancer risk. J Natl Cancer Inst 2007; 99(5): 386-95.
  7. Ministry of Health and Medical Education. Summary report on cancer incidence in Iran. Tehran, Iran: Iranian Center for Prevention and Control of Disease, Ministry of Health and Medical Education; 2000. [In Persian].
  8. Harirchi I, Ghaemmaghami F, Karbakhsh M, Moghimi R, Mazaherie H. Patient delay in women presenting with advanced breast cancer: An Iranian study. Public Health 2005; 119(10): 885-91.
  9. Sirous M, Ebrahimi A. The epidemiology of breast masses among women in Esfahan. Iran J Surg 2008; 16(3): 51-6. [In Persian].
  10. Oestreicher N, Lehman CD, Seger DJ, Buist DS, White E. The incremental contribution of clinical breast examination to invasive cancer detection in a mammography screening program. AJR Am J Roentgenol 2005; 184(2): 428-32.
  11. Farshbaf Khalili A, Shahnazi M, Ghahveh Chi A, Gafarilar N. Practice of women referring to Tabriz health centers on Breast self examination. Nursing and Midwifery Journal 2008; 3(11): 38-46. [In Persian].
  12. American Medical Association, Council on Scientific Affairs. Mammographic screening for asymptomatic women: report no. 16. Chicago, IL: American Medical Association; 1999.
  13. Lado M, Tahoces PG, Mendez AJ, Souto M, Vidal JJ. Evaluation of an automated wavelet-based system dedicated to the detection of clustered microcalcifications in digital mammograms. Med Inform Internet Med 2001; 26(3): 149-63.
  14. Sickles, EA, D’Orsi CJ, Bassett LW. ACR BI-RADS® Mammography. In: D’Orsi CJ, Sickles EA, Mendelson EB, Morris EA, editors. ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA, American College of Radiology; 2013.
  15. Orel SG, Kay N, Reynolds C, Sullivan DC. BI-RADS categorization as a predictor of malignancy. Radiology 1999; 211(3): 845-50.
  16. Gulsun M, Demirkazik FB, Ariyurek M. Evaluation of breast microcalcifications according to Breast Imaging Reporting and Data System criteria and Le Gal's classification. Eur J Radiol 2003; 47(3): 227-31.
  17. Zonderland HM, Pope TL, Jr., Nieborg AJ. The positive predictive value of the breast imaging reporting and data system (BI-RADS) as a method of quality assessment in breast imaging in a hospital population. Eur Radiol 2004; 14(10): 1743-50.
Journal of Isfahan Medical School
Volume 36, Issue 470 - Serial Number 470
January and February 2018
Pages 184-188

  • Receive Date 13 September 2017
  • Accept Date 06 April 2022