Market Trends of France Mammography Industry
Breast Tomosynthesis is Expected to Witness Healthy Growth Over the Forecast Period
Breast tomosynthesis, also known as digital breast tomosynthesis (DBT)/3D mammography, is a new technology that helps in improving the radiologist's ability to diagnose breast cancer. These types of mammography use a series of two-dimensional images to build a three-dimensional image of the breast.
Serena Pacilè, in the article' Improving Breast Cancer Detection Accuracy of Mammography with the Concurrent Use of an Artificial Intelligence Tool', published in 2020, evaluated the benefits of artificial intelligence (AI)-based tools for two-dimensional mammography in the breast cancer detection process. The study concluded that the AI tool improved the diagnostic performance of radiologists in the detection of breast cancer without prolonging their workflow.
Additionally, Akram M. Asbeutah, in the article 'Comparison of radiation doses between diagnostic full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT): a clinical study, published in 2020, stated that all the non-parametric statistical tests showed a significant difference between entrance surface dose and average glandular dose for full-field digital mammography and digital breast tomosynthesis techniques. The Average Glandular Dose (AGD) for a single-view DBT was lower than the two-view FFDM technique, proving that DBT is more efficient than the FFDM, boosting its demand in the country.
