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Association of Mammographic and Sonographic Findings With Prognostic Molecular Factors and Hormone Receptor Expression in Malignant Breast Lesions Publisher



Bahrami M1 ; Karami F2 ; Hekmatnia A1 ; Soltani S3 ; Fadavi P3 ; Hekmatnia F4 ; Parviz Zarei A5 ; Nazari H6
Authors
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Authors Affiliations
  1. 1. Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Radiology, Shafa Imaging Center, Isfahan, Iran
  3. 3. Department of Radiation Oncology, Iran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Radiology, Lister Hospital, London, United Kingdom
  5. 5. Department of Medicine, The Princess Alexandra Hospital, London, United Kingdom
  6. 6. Department of Radiology, Mazandaran University of Medical Sciences, Iran

Source: Journal of Research in Medical Sciences Published:2024


Abstract

Background: The aim of this study was to determine whether mammographic and sonographic features of malignant breast lesions are correlated with tumor histologic grade, hormonal receptor, human epidermal growth factor receptor 2 (HER2), and Ki‑67 status. Materials and Methods: In this retrospective study, imaging and histopathological findings of 187 biopsy‑proven breast cancer cases from November 2019 to February 2021 were reviewed. The Chi‑square test was used to examine the potential correlation between mammographic and sonographic characteristics with histopathological features such as hormonal receptor, HER2 status, Ki‑67 labeling index, and histological grade. Results: We observed that microlobulated margin as well as oval/round morphology in mammograms correlate with triple‑negative intrinsic subtype (P = 0.006 and P = 0.004). The presence of calcification in sonography was significantly higher in the luminal‑B subtype (P = 0.002). Furthermore, ill‑defined margins in mammography were significantly higher in amplified HER2 expression (P = 0.004) in the same manner as an oval/round shape in higher levels of Ki‑67 (P = 0.030). Conclusion: Mammography and sonography features may reflect the biological behavior of various subtypes of breast cancer and can detect more aggressive breast cancers that can mimic benign or less malignant appearing lesions. These findings may be an excellent predictor for some subtypes like triple‑negative breast cancer. Studying the range of these imaging characteristics may help in better understanding the prognosis, choosing a treatment strategy, and predicting response to treatment. © 2024 Journal of Research in Medical Sciences.
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