Advantages of Digital Technology in the Assessment of Bone Marrow Involvement by Magnetic Resonance Images

Abstract

Magnetic resonance imaging (MRI) is the gold standard for evaluating bone marrow (BM). The information provided is a useful tool for obtaining a global map of the contents of the medullary cavity. The applications of this technique to the study of different processes affecting the bone marrow are of great importance to know the extension of disease, to distinguish by image different entities, and to evaluate response to therapies. Actually, machine learning tools aid in the interpretation of images and patterns that are not visible or are unfamiliar to the observer. In addition, integrating clinical, biological, and therapeutic data with imaging using artificial intelligence methods applied to these studies provides a broad perspective and tool that can predict the risk of complications. The systematic inclusion of structured bone marrow MRI reporting is useful to standardize the collected data collaborate in developed algorithms to learning model, and facilitate clinical management and academics collaboration.