Correlation Between Breast Density Classification with Sugar Levels for Iraqi Women

Authors

  • Areej Nouri
  • Aedah Z. Al-Kaisy

Keywords:

Mammography, fibro glandular, Breast density

Abstract

Breast density, a critical parameter in mammographic imaging, refers to the proportion of fibroglandular tissue to fatty tissue within the breast. It is a significant factor in breast cancer risk assessment, as higher breast density is associated with an increased risk of breast cancer and can obscure lesions on mammograms, complicating early detection. The American College of Radiology classifies breast density into four categories: A (almost entirely fatty), B (scattered areas of fibroglandular density), C (heterogeneously dense), and D (extremely dense).This study aims to investigate the relationship between breast density classification and blood sugar levels among Iraqi women. The methods 100 women in this study. Mammography was utilized to determine the breast density. The results statistically significant between breast density classification , age and suger levels tests  while not significant with body mass index for both breast. conclusion: our results indicate that the  Iraqi women  with breast density classification showed a decrease in age (for both breasts).other results breast density an increase with increase of suger levels of patients

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Al-Faham MA, Al-Hadithi WK, Pogo PG. Molecular Study of Human Mammary Tumor Virus in Iraqi Women with Breast Cancer. Journal of the Faculty of Medicine Baghdad. 2013 Apr 1;55(1):68-72.

Al-Saadi WI, Ahmed BS, Mahdi QA, Qader I, Idrees Y. Non-palpable breast mass: Radiological and pathological evaluation. Mustansiriya Medical Journal. 2016;15(1):20-24.

Al-saiegh AM. Post-Surgical Loco Regional Recurrence Of Breast Carcinoma In Iraq. Journal of the Faculty of Medicine Baghdad. 2007 Jul 1;49(2):193-8.

AL-SARRAF SA. Spectrum of breast diseases in a teaching hospital in Al Najaf. Journal of the Faculty of Medicine Baghdad. 2010 Jul 4;52(2):126-8.

AlSudani HA, Hussain EM, Khalil EA. Classification the mammograms based on hybrid features extraction techniques using multilayer perceptron classifier. Al-Mustansiriyah Journal of Science. 2020;31(4):72-79.

Bodewes, F. T. H., van Asselt, A. A., Dorrius, M. D., Greuter, M. J. W., & de Bock, G. H. (2022). Mammographic breast density and the risk of breast cancer: A systematic review and meta-analysis. Breast (Edinburgh, Scotland), 66, 62–68.

Doruk Analan P, Kaya E. Is There a Relationship Between Insulin Resistance and Breast Cancer-Related Lymphedema? A Preliminary Study. Lymphat Res Biol. 2022 Feb;20(1):76-81.

Hussein A, Ali SM. A short-term comparison between the effect of two different concentrations of methotrexate on ovarian tissues and function of female albino rats. Journal of the Faculty of Medicine Baghdad. 2022;64(4):280-5.

Jasim QA, Al-Kaisy AZ, Al-Dujaily SS. Effect of green laser on human sperm agglutination. HIV Nursing. 2022;22(2):3789-92.

Jeffers AM, Sieh W, Lipson JA, Rothstein JH, McGuire V, Whittemore AS, Rubin DL. Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS. Radiology. 2017 Feb;282(2):348-355.

Katsura C, Ogunmwonyi I, Kankam HK, Saha S. Breast cancer: presentation, investigation and management. Br J Hosp Med (Lond). 2022 Feb 2;83(2):1-7.

Kerlikowske, K., Bissell, M. C. S., Sprague, B. L., Tice, J. A., Tossas, K. Y., Bowles, E. J. A., Ho, T. H., Keegan, T. H. M., & Miglioretti, D. L. Impact of BMI on Prevalence of Dense Breasts by Race and Ethnicity. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, (2023). ,32(11), 1524–1530

Mahmmud NA, Ahmed SB, Othman AM. The value of combination of dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging in the evaluation of breast masses. Mustansiriya Medical Journal. 2021;20(2):32-38.

Nazir I, Rafiq S, Naseed M, Dar MA, Shaheen F. Differentiation of typical and atypical meningiomas using magnetic resonance imaging. Mustansiriya Medical Journal. 2021;20(1):17-20

Nguyen JV, Williams MB, Patrie JT, Harvey JA. Do women with dense breasts have higher radiation dose during screening mammography?. The Breast Journal. 2018 Jan;24(1):35-40.

Pace LE, Dusengimana JM, Hategekimana V, Habineza H, Bigirimana JB, Tapela N, Mutumbira C, Mpanumusingo E, Brock JE, Meserve E, Uwumugambi A, Dillon D, Keating NL, Shulman LN, Mpunga T. Benign and Malignant Breast Disease at Rwanda's First Public Cancer Referral Center. Oncologist. 2016 May;21(5):571-5.

Salih AM, Kamil MY. Mammography images segmentation based on fuzzy set and thresholding. Al-Mustansiriyah Journal of Science. 2019;29(3):168-175.

Singh Y, Garg MK, Tandon N, Marwaha RK. A study of insulin resistance by HOMA-IR and its cut-off value to identify metabolic syndrome in urban Indian adolescents. J Clin Res Pediatr Endocrinol. 2013;5(4):245-51.

Supar R, Suliman NI, Sharip H, Yamin LM. Effect of Mammographic Breast Density on Average Glandular Dose (AGD) during Full-Field Digital Mammogram. Journal of Medical Imaging and Radiation Sciences. 2022 Dec 1;53(4):S35.

Talal LF. Breast tumors in females: A review of 500 malignant cases. J Fac Med Baghdad. 2008;50(4):456-459.

Taleban R, Sirous R, Sirous M, Razavi S, Taghvaei R, Sirous S, Khalighinejad F, Dehghani Firouzabadi A, Qobadi M, Dehghani Firouzabadi F, Moafi M, Zand K, Farajzadegan Z. The Relationship between Anthropometric Indices and Breast Cancer in Central Iran. Nutr Cancer. 2019;71(8):1276-1282

.

Downloads

Published

2025-04-23

How to Cite

1.
Nouri A, Al-Kaisy AZ. Correlation Between Breast Density Classification with Sugar Levels for Iraqi Women. J Neonatal Surg [Internet]. 2025Apr.23 [cited 2025Sep.21];14(16S):809-17. Available from: https://jneonatalsurg.com/index.php/jns/article/view/4401

Issue

Vol. 14 No. 16S (2025): Journal of Neonatal Surgery

Section

Original Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  • Adapt — remix, transform, and build upon the material for any purpose, even commercially.

Terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.