The Utility of Quantitative Parameters of Shear-Wave Elastography to Predict Prognostic Histologic Features of Breast Cancer.
Aydan Avdan AslanSerap GültekinMehmet Arda İnanPublished in: Ultrasound quarterly (2023)
In this study, we aimed to investigate the correlation of stiffness values of shear-wave elastography (SWE) and histopathological prognostic factors in patients with breast cancer. Between January 2021 and June 2022, SWE images of 138 core-biopsy proven breast cancer lesions from 132 patients were retrospectively reviewed. Histopathogic prognostic factors, including tumor size, histologic grade, histologic type, hormone receptor positivity, human epidermal growth factor receptor (HER2) status, immunohistochemical subtype and Ki-67 index were documented. Elasticity values including mean and maximum elasticity (Emean and Emax) and lesion-to-fat ratio (Eratio) were recorded. The association between histopathological prognostic factors and elasticity values were assessed using Mann-Whitney U and Kruskal-Wallis test, and multiple linear regression analysis. Tumor size, histological grade, and Ki-67 index were significantly associated with the Eratio (P < 0.05). Larger tumor size and higher Ki-67 index also showed significantly higher Emean and Emax values (P < 0.05). However, hormone receptor positivity, HER2 status, and immunohistochemical subtype were not significantly associated with elasticity values (P > 0.05). Multivariate logistic regression analysis revealed that tumor size was significantly associated with Emean, Emax, and Eratio values (P < 0.05). A high Ki-67 index was also significantly associated with high Eratio values. Larger tumor size and higher Ki-67 index are independently associated with high Eratio values. Preoperative SWE may improve the performance of conventional ultrasound in predicting prognosis and treatment planning.
Keyphrases
- prognostic factors
- epidermal growth factor receptor
- neoadjuvant chemotherapy
- magnetic resonance imaging
- tyrosine kinase
- squamous cell carcinoma
- high resolution
- computed tomography
- advanced non small cell lung cancer
- newly diagnosed
- lymph node
- radiation therapy
- ultrasound guided
- convolutional neural network
- end stage renal disease
- induced pluripotent stem cells
- neural network
- fatty acid