View clinical trials related to Microcalcification.
Filter by:Breast microcalcifications are a common mammographic finding. Microcalcifications are considered suspicious signs of breast cancer and a breast biopsy is required, however, cancer is diagnosed in only a few patients. Reducing unnecessary biopsies and rapid characterization of breast microcalcifications are unmet clinical needs. This study intends to implement a classification method for breast microcalcifications (as begnin or malign) with Artificial Intelligence techniques on mammographic images, evaluating the diagnostic performance (accuracy) of this approach. Another aim is the development of a diagnostic tool able to determining in-situ the biomolecular characteristics of microcalcifications. Raman spectroscopy (RS) is a highly specific method from the biomolecular point of view and it is able to explore molecular composition of a given sample through its direct irradiation (through laser light) and the simultaneous acquisition of emission signals. RS information could be combined togheter with imaging features to implement an AI model for the combined classification of breast microcalcifications
This clinical trial studies a new type of ultrasound technique, MicroPure, in detecting breast microcalcifications in patients undergoing biopsy for a breast abnormality. Ultrasound sends sound waves into the body, and the sound waves reflected back are interpreted by the machine into a grayscale image. MicroPure uses a filter that adjusts the brightness and gives color to the ultrasound images, which may allow doctors to better identify microcalcifications. Microcalcifications are tiny deposits of calcium in the breast that cannot be felt but can be detected by imaging. A group of microcalcifications may indicate that cancer is present.