Abstract
Hyperechogenicity on breast ultrasonography is strongly associated with benignity. However, breast cancers may rarely appear as hyperechoic masses. These include lymphoma, angiosarcoma, liposarcoma, and metastatic cancers. Phyllodes tumors are fibroepithelial neoplasms that can be benign, borderline, or malignant. Malignant phyllodes tumors account for less than 1% of all breast malignancies, and heterologous differentiation in these tumors is occasional. This case report describes a 25-year-old woman who has malignant phyllodes tumors with heterologous sarcomatous elements that appear as hyperechoic masses sonographically and present a review of the relevant literature.
Keywords: Breast, ultrasonography, hyperechoic, malignant phyllodes tumor, benignity, liposarcoma.
Graphical Abstract
Call for Papers in Thematic Issues
Intelligent Information Retrieval for Multispectral and Hyperspectral Imaging
Multispectral and hyperspectral imaging is an interdisciplinary research area, widely focuses on spectral, spatial, and temporal data. It offers a plethora of opportunities to efficiently analyze the vast area of the earth's surface. However, there are numerous factors such as dimensionality and size of the hyperspectral data, lesser training samples, ...read more
Machine and Deep Learning in Medical Image Diagnosis
Medical Image Processing regards a set of methodologies that have been developed over recent years with the purpose of improving medical image quality, improving medical data visualization, understanding, and assisting medical diagnosis, and so on. The application of machine and deep learning methods in sensing and imaging can potentially have ...read more
Quantum Machine Learning for Medical Data and Imaging
Quantum computing has promised a significant speedup in certain computationally intensive tasks that are intractable on classical computers. Researchers in quantum machine learning, such as those working in computer vision, image processing, biomedical analysis, and related topics, may play an important role in comprehending and working on complicated medical data, ...read more
14
3
1
1