1. Predictors of breast cancer HER2-receptor positivity by MRI intuitive imaging features.
- Author
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Bayoumi, Dalia, ELagamy, Ahmed Alaa EL-Din, Salem, Hesham Sabry Mohamed, and Elboghdady, Aya
- Subjects
BREAST cancer prognosis ,CROSS-sectional method ,T-test (Statistics) ,RECEIVER operating characteristic curves ,BREAST tumors ,FISHER exact test ,MAGNETIC resonance imaging ,TUMOR markers ,CHI-squared test ,DESCRIPTIVE statistics ,MANN Whitney U Test ,GENE expression ,ONCOGENES ,DATA analysis software ,COMPARATIVE studies - Abstract
Background: Today, breast cancer is the most diagnosed cancer worldwide. There are many different clinical presentations, radiological characteristics, and histological types of breast cancer. HER2 is overexpressed in a significant number of breast cancer cases reaching 20% of all breast cancers, and its overexpression is seen directly proportionate with a poor outcome and prognosis. Methods: We started this cross-sectional research from January 2022–December 2023 on 202 breast cancer patients who had 220 lesions. The molecular subtypes of the different lesions were determined in all the included cases. Magnetic resonance imaging (MRI) studies were conducted in all included cases. The MRI parameters included conventional MRI, diffusion-weighted analysis, and dynamic post-contrast T1-weighted imaging. Results: The prevalence of irregular margins (P < 0.001), linear and segmental distribution (P = 0.044), heterogeneous pattern (P < 0.001), and type 2 curve was statistically significantly higher in the HER2-positive lesions. Nipple infiltration incidence showed statistically significant elevation in the HER2-positive lesions (P = 0.017). The lesions' ADC and perilesional ADC in the HER2-positive lesions were also statistically significantly elevated. The best cutoff point of ADC to detect lesions with positive HER2 expression was > 0.885 × 10–3 mm
2 /s, with 65.7% sensitivity and 60% specificity, with a statistically significant value (p = 0.005). Conclusions: Magnetic resonance imaging of breast imaging is a promising noninvasive method for identifying breast tumors with the HER2 molecular subtype. Combining various radiological features by MRI may provide a conclusion for recognizing positive HER2 lesions. [ABSTRACT FROM AUTHOR]- Published
- 2024
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