ACRIN Update

The American College of Radiology Imaging Network (ACRIN): Research Educational Opportunities for Academic Radiology

Imaging informatics, as part of the wider emerging discipline of medical informatics, remains poorly defined. However, many educators agree that formalized and flexible training in the collection, display, manipulation, storage, retrieval, and communication of imaging data, as well as the integration of these data into larger databases, should be introduced into the period of radiology residency training. The authors review the importance of such training to those individuals now preparing for clinical practice and research. They describe a sample imaging informatics curriculum that can be incorporated into a 4-year radiology residency program and the significance of such training in establishing a new subdiscipline focusing on imaging information technologies.

Opportunities for funded radiological research are greater than ever, and the amount of federal funding coming to academic radiology departments is increasing. Even so, many medical school-based radiology departments have little or no research funding. Accordingly, a consensus panel was convened to discuss ways to enhance research productivity and broaden the base of research strength in as many academic radiology departments as possible. The consensus panel included radiologists who have leadership roles in some of the best-funded research departments, radiologists who direct other funded research programs, and radiologists with related expertise. The goals of the consensus panel were to identify the attributes associated with successful research programs and to develop an action plan for radiology research based on these characteristics.

Opportunities for funded radiologic research are greater than ever, and the amount of federal funding coming to academic radiology departments is increasing. Even so, many medical school-based radiology departments have little or no research funding. Accordingly, a consensus panel was convened to discuss ways to enhance research productivity and broaden the base of research strength in as many academic radiology departments as possible. The consensus panel included radiologists who have leadership roles in some of the most well-funded research departments, radiologists who direct other funded research programs, and radiologists with related expertise. The goals of the consensus panel were to identify the attributes associated with successful research programs and to develop an action plan for radiology research on the basis of these characteristics.

Clinical databases are continually growing and accruing more patient information. One of the challenges for managing this wealth of data is efficient retrieval and analysis of a broad range of image and non-image patient data from diverse data sources. This article describes the design and implementation of a new class of research data warehouse, neuroinformatics database system (NIDS), which will alleviate these problems for clinicians and researchers studying and treating patients with intractable temporal lobe epilepsy. The NIDS is a secured, multi-tier system that enables the user to gather, proofread, analyze, and store data from multiple underlying sources. In addition to data management, the NIDS provides several key functions including image analysis and processing, free text search of patient reports, construction of general queries, and on-line statistical analysis. The establishment of this integrated research database will serve as a foundation for future hypothesis-driven experiments, which could uncover previously unsuspected correlations and perhaps help to identify new and accurate predictors for image diagnosis.