Relationship of the ultrasound descriptors of the B-IRADS associated with the histochemistry results of breast lesions
DOI:
https://doi.org/10.62305/biosana.v6i4.1223Keywords:
histochemistry; descriptor; neoplasm; molecular; neoadjuvants; radiation.Abstract
Breast cancer is the malignant neoplasm with high mortality rates in the female population. This study aims to evaluate the relationship between the B-IRADS ultrasound descriptors and the histochemical results of aggressive breast lesions. Since ultrasound is an easily accessible study, it allows the identification of the behavior of malignant lesions through ultrasound descriptors and is fundamental in the screening, diagnosis, staging, and follow-up of breast cancer.
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Ascarza Saldaña, J. C. (2024). Correlación entre hallazgos ecográficos y subtipos moleculares por histopatología e inmunohistoquímica en pacientes con cáncer de mama en el Hospital Nacional Edgardo Rebagliati Martins del 2020 al 2023 [Tesis de segunda especialidad en radiología]. Universidad Nacional Mayor de San Marcos.
Kim, Y. S., Lee, S. E., Chang, J. M., Kim, S. Y., & Bae, Y. K. (2022). Ultrasonographic morphological characteristics determined using a deep learning-based computer-aided diagnostic system of breast cancer. Medicine, 101(3), e28621. https://doi.org/10.1097/MD.0000000000028621
Masood, S. (2016). Breast cancer subtypes: Morphologic and biologic characterization. Women’s Health, 12(1), 103–119. https://doi.org/10.2217/whe.15.99
Organización Mundial de la Salud (OMS). (2021). Cáncer de mama. https://www.who.int/es/news-room/fact-sheets/detail/breast-cancer
Agencia Internacional para la Investigación del Cáncer (IARC). (2021). Global Cancer Observatory. https://gco.iarc.fr/
Perou, C. M., Sørlie, T., Eisen, M. B., van de Rijn, M., Jeffrey, S. S., Rees, C. A., & Botstein, D. (2000). Molecular portraits of human breast tumours. Nature, 406(6797), 747–752. https://doi.org/10.1038/35021093
Sørlie, T., Perou, C. M., Tibshirani, R., Aas, T., Geisler, S., Johnsen, H., ... & Børresen-Dale, A. L. (2001). Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proceedings of the National Academy of Sciences, 98(19), 10869–10874. https://doi.org/10.1073/pnas.191367098
Gallen, M., et al. (2011). St. Gallen International Expert Consensus on the primary therapy of early breast cancer 2011. Annals of Oncology, 22(8), 1736–1747. https://doi.org/10.1093/annonc/mdr304
Wang, H., Yao, J., Zhu, Y., Zhan, W., Chen, X., & Shen, K. (2020). Association of sonographic features and molecular subtypes in predicting breast cancer disease outcomes. Cancer Medicine, 9(17), 6173–6185. https://doi.org/10.1002/cam4.3305
Sung Hyun Kim, B. K.-H. (2009). Correlation of ultrasound findings with histology, tumor grade, and biological markers in breast. Acta Oncologica, 9.
Gopal R. Vijayaraghavan, M. K. (2021). Ultrasound Imaging Morphology is associated with Biological Behavior in Invasive Ductal Carcinoma of the Breast. Journal of Clinical Imaging Science, 9. doi:10.25259/JCIS"_60_2021
Lei Zhang, J. L. (2015). Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision. Scientific Reports, 14.
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