Review ArticlesCurrent and Future Trends in Imaging Informatics for OncologyLevy, Mia A. MD, PhD*; Rubin, Daniel L. MD, MS†Author Information From the *Department of Biomedical Informatics and Medicine, Division of Hematology and Oncology, Vanderbilt University, Nashville, TN; and †Department of Radiology and Medicine, Division of Biomedical Informatics, Stanford University, Stanford, CA. Conflicts of Interest and Sources of Funding: This work is supported by grants from the National Cancer Institute of the National Institutes of Health (U01CA142565-01 and U01CA142555-01) and a grant from the NCI cancer Biomedical Informatics Grid In-Vivo Imaging Workspace project. Reprints: Mia A. Levy, MD, PhD, Department of Biomedical Informatics and Department of Medicine, Division of Hematology and Oncology, Vanderbilt University, Cancer Clinical Informatics Officer, Vanderbilt University School of Medicine/Vanderbilt-Ingram Cancer Center, 2220 Pierce Ave, 691 PRB, Nashville, TN 37232. E-mail: [email protected]. The Cancer Journal: July 2011 - Volume 17 - Issue 4 - p 203-210 doi: 10.1097/PPO.0b013e3182272f04 Buy Metrics Abstract Clinical imaging plays an essential role in cancer care and research for diagnosis, prognosis, and treatment response assessment. Major advances in imaging informatics to support medical imaging have been made during the last several decades. More recent informatics advances focus on the special needs of oncologic imaging, yet gaps still remain. We review the current state, limitations, and future trends in imaging informatics for oncology care including clinical and clinical research systems. We review information systems to support cancer clinical workflows including oncologist ordering of radiology studies, radiologist review and reporting of image findings, and oncologist review and integration of imaging information for clinical decision making. We discuss informatics approaches to oncologic imaging including, but not limited to, controlled terminologies, image annotation, and image-processing algorithms. With the ongoing development of novel imaging modalities and imaging biomarkers, we expect these systems will continue to evolve and mature. © 2011 Lippincott Williams & Wilkins, Inc.