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1 From the MeVis Center for Medical Diagnostic Systems and Visualization, Universitaetsallee 29, 28359 Bremen, Germany (L.B., J.M.K., V.D., S.Z., B.K., S.K., H.O.P.); the Department of Diagnostic Radiology, RWTH Aachen University Hospital, Aachen, Germany (B.B.W., H. Schubert); the Department of Diagnostic Radiology, Medical School Hannover, Germany (H. Shin); and the Institute for Clinical Radiology, University Hospital Muenster, Germany (D.W.). Presented as an infoRAD exhibit at the 2003 RSNA Scientific Assembly. Received April 7, 2004; revision requested June 30 and received August 20; accepted September 10. Supported by grant 01EZ0010 from the German Federal Ministry of Education and Research. All authors have no financial relationships to disclose. Address correspondence to L.B. (e-mail: bornemann{at}mevis.de).
Owing to the rapid development of scanner technology, thoracic computed tomography (CT) offers new possibilities but also faces enormous challenges with respect to the quality of computer-assisted diagnosis and therapy planning. In the framework of the Virtual Institute for Computer Assistance in Clinical Radiology cooperative research project, a software application was developed to assist the radiologist in the analysis of thoracic CT data for the purpose of evaluating the response to tumor therapy. The application provides follow-up support for monitoring of tumor therapy by means of volumetric quantification of tumors and temporal registration. In addition, anatomically adequate three-dimensional visualization techniques for convenient examination of large data sets are included. With close cooperation between computer scientists and radiologists, the application was tested and optimized to achieve a high degree of usability. Several clinical studies were carried out, the results of which indicated that the application improves therapy monitoring with respect to accuracy and time required.
© RSNA, 2005
Abbreviations: RECIST = Response Evaluation Criteria in Solid Tumors, 3D = three-dimensional, 2D = two-dimensional, VOI = volume of interest
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