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Article Open Access

Association between digital breast tomosynthesis and molecular subtypes of breast cancer

  • Authors:
    • Siqing Cai
    • Miaomiao Yao
    • Donglu Cai
    • Jianxiang Yan
    • Meiling Huang
    • Lisheng Yan
    • Huirong Huang
  • View Affiliations / Copyright

    Affiliations: Department of Imaging, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian 362001, P.R. China
    Copyright: © Cai et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2669-2676
    |
    Published online on: January 10, 2019
       https://doi.org/10.3892/ol.2019.9918
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Abstract

In recent years, with increasing prevalence, particularly in young patients, breast cancer is considered to be one of the most common malignancies. The aim of the present study was to evaluate the clinical value of digital breast tomosynthesis (DBT) in diagnosing molecular subtypes of breast cancer. The present study retrospectively analyzed 134 cases of breast cancer with data regarding surgery, complete pathology and immunohistochemistry, which were collected at The Second Clinical College of Fujian Medical University (Quanzhou, China) between May 2013 and October 2014. The patients were divided into the four following molecular subtypes: Luminal A, luminal B, triple‑negative and human epidermal growth factor receptor 2 (HER‑2) overexpression, according to the expression of estrogen receptor, progesterone hormone receptor, HER‑2 and Ki67. The association between clinical characteristics of each molecular subtype and characteristics of DBT were assessed. Calcification scores and lymph node size were the indicators that exhibited a significant difference following comparison between the four molecular subtypes. The subgroup analysis based on tumor size, calcification scores and lymph node size identified a significant difference in the distribution between patients with breast cancer with lymph node size of ≥1.5 and <1.5 cm. The analysis also revealed that the molecular subtypes of breast cancer were significantly associated with variables of calcification scores and lymph node size. In conclusion, the diagnostic imaging features, including calcification score and lymph node size, determined using DBT could be used as assistant diagnostic markers of breast cancer molecular subtypes.
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Copy and paste a formatted citation
Spandidos Publications style
Cai S, Yao M, Cai D, Yan J, Huang M, Yan L and Huang H: Association between digital breast tomosynthesis and molecular subtypes of breast cancer. Oncol Lett 17: 2669-2676, 2019.
APA
Cai, S., Yao, M., Cai, D., Yan, J., Huang, M., Yan, L., & Huang, H. (2019). Association between digital breast tomosynthesis and molecular subtypes of breast cancer. Oncology Letters, 17, 2669-2676. https://doi.org/10.3892/ol.2019.9918
MLA
Cai, S., Yao, M., Cai, D., Yan, J., Huang, M., Yan, L., Huang, H."Association between digital breast tomosynthesis and molecular subtypes of breast cancer". Oncology Letters 17.3 (2019): 2669-2676.
Chicago
Cai, S., Yao, M., Cai, D., Yan, J., Huang, M., Yan, L., Huang, H."Association between digital breast tomosynthesis and molecular subtypes of breast cancer". Oncology Letters 17, no. 3 (2019): 2669-2676. https://doi.org/10.3892/ol.2019.9918
Copy and paste a formatted citation
x
Spandidos Publications style
Cai S, Yao M, Cai D, Yan J, Huang M, Yan L and Huang H: Association between digital breast tomosynthesis and molecular subtypes of breast cancer. Oncol Lett 17: 2669-2676, 2019.
APA
Cai, S., Yao, M., Cai, D., Yan, J., Huang, M., Yan, L., & Huang, H. (2019). Association between digital breast tomosynthesis and molecular subtypes of breast cancer. Oncology Letters, 17, 2669-2676. https://doi.org/10.3892/ol.2019.9918
MLA
Cai, S., Yao, M., Cai, D., Yan, J., Huang, M., Yan, L., Huang, H."Association between digital breast tomosynthesis and molecular subtypes of breast cancer". Oncology Letters 17.3 (2019): 2669-2676.
Chicago
Cai, S., Yao, M., Cai, D., Yan, J., Huang, M., Yan, L., Huang, H."Association between digital breast tomosynthesis and molecular subtypes of breast cancer". Oncology Letters 17, no. 3 (2019): 2669-2676. https://doi.org/10.3892/ol.2019.9918
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