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Proceedings Paper

Design and evaluation of an imaging informatics system for analytics-based decision support in radiation therapy
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Paper Abstract

We have developed a comprehensive DICOM RT specific database of retrospective treatment planning data for radiation therapy of head and neck cancer. Further, we have designed and built an imaging informatics module that utilizes this database to perform data mining. The end-goal of this data mining system is to provide radiation therapy decision support for incoming head and neck cancer patients, by identifying best practices from previous patients who had the most similar tumor geometries. Since the performance of such systems often depends on the size and quality of the retrospective database, we have also placed an emphasis on developing infrastructure and strategies to encourage data sharing and participation from multiple institutions. The infrastructure and decision support algorithm have both been tested and evaluated with 51 sets of retrospective treatment planning data of head and neck cancer patients. We will present the overall design and architecture of our system, an overview of our decision support mechanism as well as the results of our evaluation.

Paper Details

Date Published: 17 March 2015
PDF: 8 pages
Proc. SPIE 9418, Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, 94180Y (17 March 2015); doi: 10.1117/12.2082862
Show Author Affiliations
Ruchi Deshpande, The Univ. of Southern California (United States)
John DeMarco, Univ. of California, Los Angeles (United States)
Brent J. Liu, The Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 9418:
Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations
Tessa S. Cook; Jianguo Zhang, Editor(s)

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