Estudo sobre fatores intrínsecos a paciente que influenciam na dose glandular média em exames de tomossíntese de mama
DOI:
https://doi.org/10.15392/bjrs.v8i1.1148Keywords:
, Dose Glandular Média, Densidade Mamária, Espessura da Mama, Volpara, Mamografia/Medium Glandular Dose, Mammary Density, Breast Thickness, MammographyAbstract
RESUMO
Objetivo: A dose glandular média (DGM) é a grandeza dosimétrica utilizada para estimar a dose de radiação à qual um paciente é exposta ao realizar um exame de mamografia. Este estudo tem como objetivo verificar a relação entre os fatores característicos do paciente e a DGM. Materiais e Métodos: As imagens de tomossíntese mamária de 660 pacientes foram analisadas usando o software Volpara. A partir desta análise, obteve-se a densidade volumétrica da mama (DVM) e a DGM. A idade do paciente e a espessura da mama comprimida (EMC) foram obtidas do cabeçalho DICOM das imagens. Utilizando o software estatístico SPSS, foram realizados testes de correlação entre a DVM, a idade do paciente e a TCC com a DGM, e calculados os respectivos coeficientes de correlação (r). Resultados: A amostra de pacientes teve uma média da EMC de 59 ± 12mm, mediana da idade da paciente de 51 anos (25 a 87 anos), mediana da DGD de 1,53 mGy (0,43 a 4,68 mGy) e mediana da DVM de 8% ( Intervalo de 2,16% a 36,89%). Os coeficientes de correlação calculados foram 0,695 para a relação entre DGM e EMC, 0,095 para a relação entre DGM e DVM e -0,280 para a relação entre DGM e a idade da paciente. Conclusão: Os resultados mostram que a EMC é o fator mais relacionado ao aumento da DGM. DVM é o fator com menor impacto e a idade da paciente tem uma relação inversa com a DGM.
ABSTRACT
Objective: Mean Glandular Dose (MGD) is the dosimetric quantity used to estimate the radiation dose to which a patient is exposed when performing a mammography examination. This study aims to verify the relationship between patient characteristic factors and MGD. Materials and Methods: Breast tomosynthesis images of 660 patients were analyzed using Volpara software. From this analysis, the volumetric breast density (VBD) and the MGD were obtained. Patient age and compressed breast thickness (CBT) were obtained from the DICOM header of the images. Using the SPSS statistical software, correlation tests were performed between the VBD, patient age and CBT with the MGD, and the respective correlation coefficients (r) were calculated. Results: The patient sample had a mean CBT of 59 (± 12mm), median patient age of 51 years (25 to 87 years range), median MGD of 1.53 mGy (0.43 to 4.68 mGy range), and median VBD of 8% (2.16% to 36.89% range). The calculated correlation coefficients were 0.695 for the relationship between MGD and CBT, 0.095 for the relationship between MGD and VBD, and -0.280 for the relationship between MGD and patient age. Conclusion: The results show that CBT is the factor most related to the MGD increase. VBD is the factor with the least impact and the patient's age has an inverse relationship with the MGD.
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MEHNATI, P., ALIZADEH, H.; HODA, H. Relation between mammographic parenchymal patterns and breast cancer risk: Considering BMI, compressed breast thickness and age of women in Tabriz, Iran. Asian Pacific J. Cancer Prev., v 17, p. 2259–2263 (2016).
. INCA - Instituto Nacional do Câncer Parâmetros técnicos para o rastreamento do câncer de mama. Rio de Janeiro: INCA, 2009. 28p.
. VILAVERDE, F., et al. Tomossíntese mamária: o que o radiologista deve saber. Acta Radiologia Portuguesa, v 109, p. 35–41 (2016).
. ICRU - International Commission on Radiation Units and Measurements. Patient Dosimetry for X Rays Used in Medical Imaging. ICRU Report 74, Bethesda: ICRU, 2005. 40p
. Paixão, L., et al. Monte Carlo derivation of filtered tungsten anode X-ray spectra for dose computation in digital mammography. Radiol. Bras. v 48, p. 363–367 (2016).
. OLIVEIRA, B., et al. Dosimetria e avaliação da qualidade da imagem em um sistema de radiografia direta. Radiol. Bras. v 47, p. 361–367 (2015).
. DANCE, D. R.; SECHOPOULOS, I. Dosimetry in x-ray-based breast imaging. Phys. Med. Biol. v 61, p. R271-R304 (2016).
DANCE, D. R., et al. Additional fact Physics in Medicine and Biologyors fot the estimation of mean glandular breast dose using the UK mammography dosimetry protocol. Phys. Med. Biol. v 5, p. 3225–3240 (2000).
BECKETT, J. R., et al. Dosimetric implications of age related glandular changes in screening mammography. Phys. Med. Biol. v 45, p. 801-813 (2000).
ZULFIQAR, M.; ROHAZLY, I.; rahmah, M. Do the majority of Malaysian women have dense breasts on mammogram? Biomed. Imaging Interv. J. v. 7, p. e14 (2011).
KO, S. Y., et al. Mammographic density estimation with automated volumetric breast density measurement. Korean J. Radiol. v. 15, p. 313–321 (2014).
HIGHNAM, R., et al. Robust breast composition measurement - VolparaTM. Lect. Notes Comput. v. 6136 LNCS, p. 342–349 (2010).
NGUYEN, J. V., et al. Do women with dense breasts have higher radiation dose during screening mammography? Breast J. v. 24, p. 35–40 (2016).
ZOETELIEF, J., et al. Glandularity and mean glandular dose determined for individual women at four regional breast cancer screening units in The Netherlands. Phys. Med. Biol. v. 51, p. 1807–1817 (2006).
HENDRICK, R. E., et al. Comparison of acquisition parameters and breast dose in digital mammography and screen-film mammography in the American College of Radiology imaging network digital mammographic imaging screening trial. Am. J. Roentgenol. v. 194, p. 362–369 (2010).
SCHUBAUER-BERIGAN, M. K., et al. Mammography dose in relation to body mass index, race, and menopausal status. Radiat. Prot. Dosimetry. v 98, p. 425–32 (2002).
HELVIE, M. A., ADLER, D. D., BOYD, G. Breast Thickness Mammograms: and Radiation Dose in Routine Effect on Image Quality Mark. Am. J. Roentgenol. v. 163 p. 1371–1374 (1994).
IBM SPSS Statistics 15. IBM. 2006. Software. Disponível em: http://www-01.ibm.com/software/analytics/spss/products/statistics/ (2006).
SHIN, S. U., et al. Comparative evaluation of average glandular dose and breast cancer detection between single-view digital breast tomosynthesis (DBT) plus single-view digital mammography (DM) and two-view DM: correlation with breast thickness and density. Eur. Radiol. v. 25, p. 1–8 (2015).
MANDELSON, M. T., et al. Breast Density as a Predictor of Mammographic Detection: Comparison of Interval- and Screen-Detected Cancers. Breast Cancer Res. v. 12, p. 1081–1087 (2010).
YOUNG, K. C., RAMSDALE, M. L., BIGNELL, F. Review of dosimetric methods for mammography in the UK breast screening programme. Radiation Protection Dosimetry v. 80, p. 183-186 (1998).
. FIGUEIRA, R. N. M. ,et al . Fatores que influenciam o padrão radiológico de densidade das mamas. Radiol. Bras. v. 36, p. 287–292 (2005).
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