Dr. Iris Allajbeu is a consultant radiologist, currently working as a Senior Clinical Research Associate and Honorary Consultant at the Department of Radiology, University of Cambridge, since 2020.

Her research primarily focuses on the early detection of breast cancer in women with dense breasts using additional imaging modalities such as Automated Breast Ultrasound (ABUS), Contrast Enhanced Mammograms (CEM), and Abbreviated MRI. She is also exploring artificial intelligence (AI) and quantitative methods to enhance diagnostic performance of these modalities and guide clinical management.

In the past years, Dr. Allajbeu has played a significant role in the BRAID (Breast Risk Assessment Imaging for Density) trial, a large UK multicentric prospective study investigating the feasibility of supplemental screening in dense breasts. She serves as the Principal Investigator for a multicentric study on improving the diagnostic performance of CEM using quantitative methods and a project evaluating the impact of AI tools on ABUS.

As a peer educator for ABUS and Densebreasts, Dr. Allajbeu also contributes as a peer reviewer for numerous scientific journals and has published several papers and book chapters on breast imaging.

Abbreviated MRI

This presentation delves into the concept and application of Abbreviated Breast MRI (AB-MRI) in the early detection of breast cancer. AB-MRI, a streamlined imaging protocol, is designed to reduce scan time and cost while maintaining high diagnostic accuracy. We will begin by defining AB-MRI and outlining the specific protocols that distinguish it from traditional MRI. The discussion will include an evaluation of its clinical performance and utility, illustrated by examples from recent studies that demonstrate its effectiveness in detecting breast cancer. We will also address the practical aspects of implementing AB-MRI in clinical practice, including workflow integration and potential challenges. Finally, we will explore future perspectives on the role of AB-MRI in advancing breast cancer screening and patient care, providing real-world case studies to highlight its benefits and potential impact. 

CEM cases