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Proceedings Paper

Role of an imaging informatics-based DICOM-RT cancer registry in evaluating treatment parameters of IMRT for prostate cancer
Author(s): Ruchi Deshpande; Alyssa Zhou; Jeffrey Zhang; John DeMarco; Brent J. Liu
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Paper Abstract

Cancer registries are information systems that enable easy and efficient collection, organization and utilization of data related to cancer patients for the purpose of epidemiological research, evidence based medicine and planning of public health policies. Our research focuses on developing a web-based system which incorporates aspects of both cancer registry information systems and medical imaging informatics, in order to provide decision support and quality control in external beam radiation therapy. Integrated within this system is a knowledge base composed of retrospective treatment plan data sets of 42 patients, organized in a systematic fashion to aid query, retrieval and data mining. A major cornerstone of our system is the use of DICOM RT data sets as the building blocks of the database. This offers enormous practical advantages since it establishes a framework that can assimilate data from different treatment planning systems and across institutions by making use of a widely used standard – DICOM. Our system will help clinicians to assess their dose volume constraints for prospective patients. This is done by comparing the anatomical configuration of an incoming patient’s tumor and surrounding organs, to that of retrospective patients in the knowledge base. Treatment plans of previous patients with similar anatomical features are retrieved automatically for review by the clinician. The system helps the clinician decide whether his dose/volume constraints for the prospective patient are optimal based on the constraints of the matched retrospective plans. Preliminary results indicate that this small-scale cancer registry could be a powerful decision support tool in radiation therapy treatment planning in IMRT.

Paper Details

Date Published: 29 March 2013
PDF: 8 pages
Proc. SPIE 8674, Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 86740O (29 March 2013); doi: 10.1117/12.2007429
Show Author Affiliations
Ruchi Deshpande, The Univ. of Southern California (United States)
Alyssa Zhou, The Univ. of Southern California (United States)
Jeffrey Zhang, 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. 8674:
Medical Imaging 2013: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Maria Y. Law; William W. Boonn, Editor(s)

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