CLINICAL, MAMMOGRAPHIC AND HISTOPATHOLOGICAL CORRELATION OF BREAST CANCER IN WOMEN AGED BETWEEN 50 AND 70 YEARS
Keywords:
Breast cancer, women, mammography, histology, diagnosisAbstract
Objective: To correlate the clinical, mammographic and histopathological findings of women aged between 50 and 70 years old who were diagnosed with breast cancer and were assisted between 1998 and 2013 at the Mastology Outpatient Clinic of the Center for Full Attention to Women’s Health in Universidade Estadual de Campinas (CAISM-Unicamp). Methods: This was a cross-sectional and retrospective study, in which the medical records and mammograms of 160 women were analyzed, a sufficient sample size for the statistical analysis. The variables used for comparison were the clinical, mammographic and histopathological findings, analyzed through descriptive and associative statistics. Results: O f t he 160 c ases a nalyzed, 76.9% w ere s ymptomatic, a nd t he m ain c linical fi ndings included palpable nodule (68.1%) and skin alterations (30%). The prevalent mammographic presentations in asymptomatic women were microcalcifications (48.7%), nodules (43.2%) and architectural distortion (8.1%). Regarding the histological type, 81.3% presented invasive ductal carcinoma (IDC) and 10.7%, ductal carcinoma in situ (DCIS). Conclusion: The present study showed that there was a predominance of symptomatic women with mammographic presentation of spiculated nodules and histological type of IDC. In the other patients with lesions detected in the screening test, pleomorphic microcalcifications were prevalent as the main finding of DCIS. Diagnostic mammography was the main form of detection of breast cancer, which may represent the lack of access of these women to screening or early detection of malignant lesions. This reveals the need to improve control actions and care protocols of these patients.
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Fitzmaurice C, Dicker D, Pain A, Hamavid H, Moradi-Lakeh M, MacIntyre MF, et al. The Global Burden of Cancer 2013. JAMA Oncol. 2015;1(4):505-27.
Curado MP, Edwards B, Shin HR, Ferlay J, Heanue M, Boyle P, et al. Cancer incidence in five continents, Vol. IX [IARC Scientific Publications, 160]. Lyon: IARC; 2007.
Brasil. Ministério da Saúde. Instituto Nacional do Câncer. Estimativa 2016. [cited 2016 mês 06]. Available from: http://www.inca.gov.br/estimativa/2016/sintese-de-resultados-comentarios.asp
Brasil. Ministério da Saúde. Instituto Nacional do Câncer. Documento de consenso. Brasil. 2004 [cited 2015 mês 04]. Available from: http://www1.inca.gov.br/publicacoes/consensointegra.pdf
Tabar L, Yen MF, Vitak B, Chen HHT, Smith RA, Duffy SW. Mammography service screening and mortality in
breast cancer patients: 20-year follow-up before and after introduction of screening. Lancet. 2003;361(9367):1405-10.
Loberg M, Lousdal ML, Bretthauer M, Kalager M. Benefits and harms of mammography screening. Breast Cancer Res. 2015;17:63.
Jacksos VP. Screening mammography: controversies and headlines. Radiology. 2002;225(2):323-6.
Sinha R, Coyle C, Ring A. Breastcancer in older patients: national cancer registry data. Int J Clin Pract. 2013;67(7):698-700.
Gobbi H. Classificação dos tumores da mama: atualização baseada na nova classificação da Organização Mundial da Saúde de 2012. J Bras Patol Med Lab. 2012;48(6):463-74.
Eisenberg ALA, Koifman S. Aspectos gerais dos adenocarcinomas de mama, estadiamento e classificação
histopatológica com descrição dos principais tipos. Rev Bras Cancerol. 2000;46(1):63-77.
Salles MA, Matias MARF, Resende LMP, Gobbi H. Variação inter-observador no diagnóstico histopatológico do carcinoma ductal in situ da mama. Rev Bras Ginecol Obstet. 2005;27(1):1-6.
Naseem M, Murray J, Hilton JF, Karamchandani J, Muradali D, Faragalla H, et al. Mammographic microcalcifications and breast cancer tumorigenesis: a radiologic-pathologic analysis. BMC Cancer. 2015;15:307.
Sickles EA, D’Orsi CJ, Bassett LW. ACR BI-RADS mammography. ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. ACR BI-RADS Committee Ed., American College of Radiology, Reston, Virginia, 2013; 120-41.
Lakhani SR, Ellis IO, Schnitee SJ, Tan PH, Van de Vijver MJ. Classification of tumours of the breast. Lyon: IARC; 2012.
Nisen JA, Schwertman NC. A simple method of computing the sample size for Chi-square test for the equality of multinomial distributions. Comput Stat Data An. 2008;52(11):4903-8
Macchetti AH. Estadiamento do câncer de mama diagnosticado no sistema público de saúde de São Carlos. Med (Ribeirão Preto). 2007;40(3):394-402.
Gonzaga CM, Freitas-Junior R, Curado MP, Sousa ALL, Souza-Neto JA, Souza MR. Temporal trends in female breast cancer mortality in Brazil and correlations with social inequalities: ecological time-series study. BMC Public Health. 2015;15(1):96.
Urban LABD, Duarte LD, Santos RD, Canella EO, Schaefer MB, Ferreira CAP, et al. Breast cancer imaging screening. Radiol Bras. 2012;45(6):334-9.
Abreu E, Koifman S. Fatores prognósticos no câncer da mama feminina. Rev Bras Cancerol. 2002;48:113-31.
Haiman CA, Hankinson SE, De Vivo I, Guillemette C, Ishibe N, Hunter DJ, et al. Polymorphisms in steroid hormone pathway genes and mammographic density. Breast Cancer Res Treat. 2003;77:27-36.
Veronesi U, Luini A, Costa A, Andreoli C. Mastologia oncológica. Milão: Medsi; 2002.
Alberto DV, Edson M. Calcificações malignas da mama – correlação mamografia – anatomia patológica. Radiol Bras. 2002;35(3):131-7.
Kemp C, Baracat FF, Rostagno R. Lesões não palpáveis da mama: diagnóstico e tratamento. Rio de Janeiro: Revinter; 2003.
Karamouzis MV, Likaki-Karatza E, Ravazoula P, Badra FA, Koukouras D, Tzorakoleftherakis E, et al. Non-palpable breast carcinomas: correlation of mammographically detected malignant-appearing microcalcifications and molecular prognostic factors. Int J Cancer. 2002;102(1):86-90.
Walker S, Hyde C, Hamilton W. Risk of breast cancer in symptomatic women in primary care: a case-control study using electronic records. Br J Gen Pract. 2014;64(629):e788-93.
Mantroni I, Santini D, Zucchini G, Fiacchi M, Zanotti S, Ugolini G, et al. Niplle discharge: is its significance as a risk factor for breast cancer fully undertood? Breast Cancer Res Treat. 2010;123(3):895-900.
Berg WA, Campassi C, Langenberg P, Sexton MJ. Breast Imaging Reporting and Data System: inter-and intraobserver variability in feature analysis and final assessment. Am J Roentgenol. 2000;174(6):1769-77.
Kim KI, Lee KH, Kim TR, Chun YS, Lee TH, Choi HY, et al. Changing patterns of microcalcification on screening mammography for prediction of breast cancer. Breast Cancer. 2015.
Tse GM, Tan PH, Cheung HS, Chu WCW, Lam WWM. Intermediate to highly suspicious calcification in breast lesions: a radiopathologic correlation. Breast Cancer Res Treat. 2008;110:1-7.
Cosar ZS, Çetin M, Tepe TK, Çetin R, Zarali AC. Concordance of mammographic classifications of microcalcifications in breast cancer diagnosis. Utility of the Breast Imaging Reporting and Data System (fourth edition). Clin Imag. 2005;29(6):389-95.
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Copyright (c) 2017 Beatriz Regina Alvares, Mariana Meira Vieira, Orlando José de Almeida, Rodrigo Menezes Jales
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