The ABC Study: Assessment of Breast Density Classification Via Algorithm Development Using Microwave Imaging in Breast Clinics
The MARIA® breast imaging system is a CE-marked radiofrequency (RF) medical imaging device. The system employs an electromagnetic imaging technique that exploits the dielectric contrast between normal and cancerous tissues. It is the intention that MARIA® will be able to offer a breast density classifier to clinician's but for this project to be successful, data is required. This study will collect the data required for the classifier to be developed.
Micrima MARIA Data Collection for Machine Learning Study
The MARIA® breast imaging system is a CE-marked radiofrequency (RF) medical imaging device. The system employs an electromagnetic imaging technique that exploits the dielectric contrast between normal and cancerous tissues. The use of artificial intelligence will provide additional, novel functionality to the MARIA® system but requires participant data in order to develop and validate the machine learning algorithms that aim to increase the accuracy and overall clinical utility of the device. This study aims to collect data from sites for this purpose.
Comparison of M5 and M6 Versions of the MARIA Imaging System on Patients Attending Symptomatic Breast Clinic in Cheltenham, United Kingdom (UK), Including a Sub-study to Research the Dielectric Constant of Aspirated Cyst Fluid
The MARIA breast imaging system is a Conformité Européenne (CE)-marked radio-frequency (RF) medical imaging device. The system employs an electromagnetic imaging technique that exploits the dielectric contrast between normal and cancerous tissues. The performance and imaging characteristic differences between the M5 and M6 versions of MARIA are not yet well demonstrated in the clinical environment, particularly with regards to cysts. The evaluation of some aspects of this potentially important new technology will occur in this comparative technical study. Further, the dielectric constant of cyst fluid is currently not well understood and obtaining readings from aspirated cyst fluid in applicable patients will be attempted.
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