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Category: Volume 09 Issue 04 April 2021
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Title: A Comparative Analysis of Breast Density between Normal and Carcinoma Breast Cases

Authors: Dr Naveen Thakur, Dr Amit Mainra, Dr Manjit Sehgal, Dr Arun Chauhan

 DOI: https://dx.doi.org/10.18535/jmscr/v9i4.17

Abstract

Introduction: Breast has always been a symbol of womanhood. As a result, both disease and surgery of the breast evoke a fear of mutilation and loss of feminity. Breast cancer is the most side specific cancer in the women and accounts 33% of female cancer 1, and is responsible for 20% of the cancer related deaths in women2. Investigators have identified mammographic breast density as a novel independent risk factor (four-to-six fold increased risk) for breast cancer3. The purpose of this study was to comparatively analyse Breast Density between Normal and Carcinoma Breast cases above 40 years of age in Indian Setup as characteristics of women’s breast density are poorly understood in India.

Materials and Method: The present study comprised of 60 patients with various breast complaints. All patients were subjected for mammography/BIRADS staging and classified for breast density as Type A,B,C or D. The patients with BIRADS 4-6were further subjected for trucut biopsy. The patients were thus divided into Group A (Carcinoma) and Group B (Benign) patients. Comparative analysis of Breast Density between Normal and Carcinoma Breast cases was done.

Results: In the present study, among all the age groups(ranging between 40 to 80 years) the breast density was found to be Type B in majority of the patients in both the groups(A and B). On comparing the proportion of Group A and Group B with density B it was found to be statistically non significant ( P value 0.78)

Conclusion: Although breast density is one of the most important risk factors of breast cancer 4, the effect of breast density itself in this study was not significant and the point estimate was much lower than previous meta-analysis which showed about four-six fold increment of breast cancer risk 5.The present study highlights the need for Individualized breast cancer screening guidelines that are appropriate for patient age, breast density, and overall risk for breast cancer. Further studies of women of various ages and risk categories are sorely needed to clarify this important public health issue.

Keywords: Breast cancer; mammographic breast density; cancer risk.

References

  1. Saxena S,Rekhi B,Bansal A,Bagga A, Chintamani, Murthy NS, Clinicomorphological patterns of breast cancer including family history in a New Delhi hospital, India. A Cross sectional study. World JSurg Oncol 2005;3:67.
  2. Garfinkel L ,Boring CC. Changing trends. An overview of cancer incidence and mortality. Cancer 1994; 74:222-9.
  3. Byng JW, Yaffe MJ, Jong RA, et al. Analysis of mammographic density and breast cancer risk from digitized mammograms. Radio Graphics 1998; 18:1587–1598.
  4. Murphy IG, Dillon MF, Doherty AO, et al. Analysis of patients with false negative mammography and symptomatic breast carcinoma. J Surg Oncol 2007; 96:457–463.
  5. Akprofure P, Rebecca S,Alleyne ,Albert O. Role of Mammography in diagnosis of Breast Cancer in an Inner Hospital, 2000 ;Vol 94,107.
  6. Kerlikowske K, Grady D, Rubin SM, Sandrock C, Ernster VL. Efficacy of screening A meta-analysis. JAMA. 1995; 273:149–154.
  7. Muir C., Waterhouse T., Mack J., Powell S., Whelan S. Cancer Incidence in Five Continents.1988: Vol V :
  8. Ingleby H., Gerson-Cohen J. Comparative Anatomy, Pathology and Roentgenology of the Breast, University of Philadelphia Press Philadelphia 1960.
  9. Boyd N. F., Byng J. W., Jong R. A., Fishell E. K., Little L. E., Miller A. B., Lockwood G. A., Tritchler D.L.,Yaffe M. J. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J. Natl. Cancer Inst. (Bethesda), 1995;87(9): 670-5.
  10. Jackson VP, San Martin JA, Secrest RJ, McNabb M, Carranza-Lira S, Figueroa-Casas P, et al. Comparison of the effect of raloxifene and continuous-combined hormone therapy on mammographic breast density and breast tenderness in postmenopausal         Am J Obstet Gynecol. 2003;188: 389–394.
  11. Baglietto L, Krishnan K, Stone J, et al. Associations of mammographic dense and nondense areas and body mass index with risk of breast cancer. Am J Epidemiol. 2014;179(4):475–483.
  12. Se-Eun et al. Interaction Effect Between Breast Density and Reproductive Factors on Breast Cancer Risk in Korean Population. Journal of Cancer Prevention.2019.
  13. Yaghjan L,Colditz GA , Rosner B ,Tamini RM. Mammographic breast density and breast cancer risk : interactions of percent density, absolute dense, and non-dense areas with breast cancer risk factors. Breast Cancer Res Treat 2015;150:181-9.
  14. Checka CM,Chun JE,Schnabel FR ,Lee J, Toth H. The Relationship of Mammographic Density and Age : Implications for Breast Cancer Screening AJR Am J Roentgenol 2012;198: W292-5.
  15. Wolfe JN. Breast patterns as an index of risk for developing breast cancer. AJR Am J Roentgenol.1976;126(6):1130 1137.
  16. Boyd NF, Rommens JM, Vogt K, et al. Mammographic density as an intermediate phenotype for breast cancer .Lancet Oncal 2005;6:798-808.
  17. Boyd NF, Martin LJ, Rommens JM, et al. Mammographic density: a heritable risk factor for breast cancer. Methods Mol Biol 2009; 472:343–360.
  18. Pike M. C., Krailo M. D., Henderson B. E., Casagrande J. T., Hoel D. G. “Hormonal” risk factors, “breast tissue age” and the age-incidence of breast cancer. Nature (Lond.),1983;303: 767-770.
  19. Maskarinec G, Pagano I, Lurie G, et al. A longitudinal investigation of mammographic density: the multiethnic cohort. Cancer Epidemiol Biomarkers Prev.2006;15(4): 732-739.

Corresponding Author

Dr Amit Mainra

MS (Surgery), IGMC, Shimla, Indira Gandhi Medical College (IGMC) Shimla, (H.P.)