Speaker
Description
Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy and safety of new medical interventions, including medical imaging technologies that are essential for diagnosis and treatment. The integrity and reliability of RCT results depend heavily on the quality and quantity of data collected. Imaging RCTs have the potential to transform patient care, both in their primary analysis and in subsequent reuse of the imaging and clinical data for secondary analyses. In recent years, there has been a growing recognition of the importance of data sharing. Data sharing plays a critical role in advancing the field of medical imaging by fostering collaboration, transparency, accelerating scientific discoveries and improving patient outcomes. Access to diverse datasets from multiple studies allows researchers to perform large-scale analyses, identify patterns, and uncover new insights that may not be apparent from individual studies. This collaborative approach is driving advances in medical imaging research.
To this end, in the GUIDE-IT project, we have developed a first prototype of a clinical imaging trials data sharing platform. Using XNAT we provide a platform with fine-grained access control, automated quality control and data processing capabilities. We have evaluated the platform using data from two large coronary imaging RCTs, DISCHARGE and SCOT-HEART.
