2025, Number 5
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Acta Med 2025; 23 (5)
Relationship between BI-RADS (Breast Imaging Reporting and Data System) and risk factors for breast cancer in patients at the Diagnostics Clinic of the Angeles Pedregal Hospital
Palomares GS, Zamora BA, López OP, Alcántara MC, López NM, Ortiz IMC
Language: Spanish
References: 25
Page: 423-429
PDF size: 280.45 Kb.
ABSTRACT
Breast cancer has a worldwide prevalence of 36.3%. In this study, risk factors for the development of this pathology were analyzed, focusing on body mass index (BMI) and others, using data obtained from the BI-RADS scale in women treated at the Diagnostic Clinic of Hospital Angeles Pedregal. Records of 240 patients aged 40 or older who underwent breast screening by mammography between January 1st and August 31st, 2022, were analyzed. Data on BMI, family, smoking history, and gravidity were collected, and a Spearman correlation analysis was conducted for each, resulting in a strong correlation between BMI and the probability of obtaining a result of 2 on the BI-RADS scale result (ro = 0.99983). Of the population studied, 42.5% had a BMI in normal ranges, 35.8% were overweight, and 21.5% were obese. Despite the found correlation, additional studies with larger samples are suggested to validate these findings and improve understanding of the relationship between BMI and the risk of breast cancer.
REFERENCES
CNEGSR. Información Estadística Cáncer de Mama. Centro Nacional de Equidad de Género y Salud Reproductiva | Gobierno. Disponible en: https://www.gob.mx/salud%7Ccnegsr/acciones-y-programas/información-estadística-cáncer-de-mama
Organización Mundial de la Salud (OMS). Cáncer de mama. 2023. Disponible en: https://www.who.int/es/news-room/fact-sheets/detail/breast-cancer
INEGI. Estadísticas a propósito del día internacional de la lucha contra el cáncer de mama (19 de octubre). Comunicado de prensa número 595/23, 2023. Disponible en: https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2023/EAP_CMAMA23.pdf
Lester SP, Kaur AS, Vegunta S. Association between lifestyle changes, mammographic breast density, and breast cancer. Oncologist. 2022; 27 (7): 548-554. Available in: https://doi.org/10.1093/oncolo/oyac084
Aibar L, Santalla A, Criado MSL, González-Pérez I, Calderón MA, Gallo JL et al. Clasificación radiológica y manejo de las lesiones mamarias. Elsevier. 2010; 38 (4): 141-149.
Mohamed AA, Berg WA, Peng H, Luo Y, Jankowitz RC, Wu S. A deep learning method for classifying mammographic breast density categories. Med Phys. 2018; 45 (1): 314-321. Available in: https://doi.org/10.1002/mp.12683
Rojas RM. ¿Qué es BiRads? clasificación y significados." [Internet]. 2022 Diagnóstico. Disponible en: https://www.diagnosticorojas.com.ar/blog/salud/que-es-bi-rads/
CENETEC: "Prevención tamizaje y referencia oportuna de casos sospechosos de cáncer de mama en el primer nivel de atención. Guía de Evidencias y Recomendaciones: Guía de Práctica Clínica" CENETEC. Actualización 2017. Disponible en: http://www.cenetec-difusion.com/CMGPC/S-001-08/ER.pdf
Morillo CM, Adame RJ, Gimeno GJ, Chacón PE, Díaz MM, Carrasco RS. Factores de riesgo del cáncer de mama femenino. Estudio de casos y controles. Parte III: antecedentes familiares y de patología mamaria benigna. Rev Senología y Patol Mam. 2001; 14 (2): 49-58.
Macacu A, Autier P, Boniol M, Boyle P. Active and passive smoking and risk of breast cancer: a meta-analysis. Breast Cancer Res Treat. 2015; 154 (2): 213-224. Available in: https://doi.org/10.1007/s10549-015-3628-4
Thompson PA, DeMarini DM, Kadlubar FF, McClure GY, Brooks LR, Green BL et al. Evidence for the presence of mutagenic arylamines in human breast milk and DNA adducts in exfoliated breast ductal epithelial cells. Environ Mol Mutagen. 2002; 39 (2-3): 134-142. Available in: https://doi.org/10.1002/em.10067
Zierle-Ghosh A, Jan A. Physiology, body mass index. StatPearls, Treasure Island (FL). 2023. Available in: https://www.ncbi.nlm.nih.gov/books/NBK535456/
Lazcano E, Shamah T. La salud de los mexicanos en cifras: resultados de la Ensanut 2022. Disponible en: https://www.insp.mx/informacion-relevante/la-salud-de-los-mexicanos-en-cifras-resultados-de-la-ensanut-2022
Brown KA. Metabolic pathways in obesity-related breast cancer. Nat Rev Endocrinol. 2021; 17 (6): 350-363. doi: 10.1038/s41574-021-00487-0. Available in: https://doi.org/10.1038/s41574-021-00487-0
Picon-Ruiz M, Morata-Tarifa C, Valle-Goffin JJ, Friedman ER, Slingerland JM. Obesity and adverse breast cancer risk and outcome: mechanistic insights and strategies for intervention. CA Cancer J Clin. 2017; 67 (5): 378-397. Available in: https://doi.org/10.3322/caac.21405
Printz C. Obesity associated with higher mortality in women with ER-positive breast cancer. Cancer. 2014; 120 (21): 3267-3267. Available in: https://doi.org/10.1002/cncr.29079
Munsell MF, Sprague BL, Berry DA, Chisholm G, Trentham-Dietz A. Body mass index and breast cancer risk according to postmenopausal estrogen-progestin use and hormone receptor status. Epidemiol Rev. 2014; 36 (1): 114-136. Available in: https://doi.org/10.1093/epirev/mxt010
Harding JL, Shaw JE, Anstey KJ, Adams R, Balkau B, Brennan-Olsen SL et al. Comparison of anthropometric measures as predictors of cancer incidence: a pooled collaborative analysis of 11 Australian cohorts. International Journal of Cancer. 2015; 137 (7): 1699-1708. Available in: https://doi.org/10.1002/ijc.29529
Gravena AAF, Romeiro LTC, Demitto MO, Borghesan DHP, Dell' Agnolo CM, Brischiliari SCR et al. The obesity and the risk of breast cancer among pre and postmenopausal women. Asian Pac J Cancer Prev. 2018; 19 (9): 2429-2436. Available in: https://doi.org/10.22034/APJCP.2018.19.9.2429
Zhao S, Chlebowski RT, Anderson GL, Kuller LH, Manson JE, Gass M et al. Sex hormone associations with breast cancer risk and the mediation of randomized trial postmenopausal hormone therapy effects. Breast Cancer Res. 2014; 16 (2): R30. Available in: https://doi.org/10.1186/bcr3632
Neuhouser ML, Aragaki AK, Prentice RL, Manson JE, Chlebowski R, Carty CL et al. Overweight, obesity, and postmenopausal invasive breast cancer risk: a secondary analysis of the women's health initiative randomized clinical trials. JAMA Oncol. 2015; 1 (5): 611-621. Available in: https://doi.org/10.1001/jamaoncol.2015.1546
Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet. 2008; 371 (9612): 569-578. Available in: https://doi.org/10.1016/S0140-6736(08)60269-X
Denis GV, Palmer JR. "Obesity-associated" breast cancer in lean women: metabolism and inflammation as critical modifiers of risk. Cancer Prev Res (Phila). 2017; 10 (5): 267-269. Available in: https://doi.org/10.1158/1940-6207.CAPR-17-0083
Martin LJ, Boyd NF. Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence. Breast Cancer Res. 2008; 10 (1): 201. Available in: https://breast-cancer-research.biomedcentral.com/articles/10.1186/bcr1831
Sirous M, Shahnani PS, Sirous A. 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). Adv Biomed Res. 2018; 7: 56. Available in: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887703/