1. Multimodal ultrasound features of breast cancers: correlation with molecular subtypes.
- Author
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Zhu JY, He HL, Jiang XC, Bao HW, and Chen F
- Subjects
- Humans, Female, Receptor, ErbB-2 metabolism, Breast diagnostic imaging, Ultrasonography, Biomarkers, Tumor metabolism, Breast Neoplasms pathology, Triple Negative Breast Neoplasms diagnostic imaging, Elasticity Imaging Techniques
- Abstract
Objectives: To investigate whether multimodal intratumour and peritumour ultrasound features correlate with specific breast cancer molecular subtypes., Methods: From March to November 2021, a total of 85 patients with histologically proven breast cancer underwent B-mode, real-time elastography (RTE), colour Doppler flow imaging (CDFI) and contrast-enhanced ultrasound (CEUS). The time intensity curve (TIC) of CEUS was obtained, and the peak and time to peak (TTP) were analysed. Chi-square and binary logistic regression were used to analyse the connection between multimodal ultrasound imaging features and breast cancer molecular subtype., Results: Among 85 breast cancers, the subtypes were as follows: luminal A (36 cases, 42.4%), luminal B (20 cases, 23.5%), human epidermal growth factor receptor-2 positive (HER2+) (16 cases, 18.8%), and triple negative breast cancer (TNBC) (13 cases, 15.3%). Binary logistic regression models showed that RTE (P < 0.001) and CDFI (P = 0.036) were associated with the luminal A cancer subtype (C-index: 0.741), RTE (P = 0.016) and the peak ratio between intratumour and corpus mamma (P = 0.036) were related to the luminal B cancer subtype (C-index: 0.788). The peak ratio between peritumour and intratumour (P = 0.039) was related to the HER2 + cancer subtype (C-index: 0.859), and CDFI (P = 0.002) was associated with the TNBC subtype (C-index: 0.847)., Conclusions: Multimodal ultrasound features could be powerful predictors of specific breast cancer molecular subtypes. The intra- and peritumour CEUS features play assignable roles in separating luminal B and HER2 + breast cancer subtypes., (© 2023. The Author(s).)
- Published
- 2023
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