The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software

Armato III, S. G. and Meyer, C. R. and McNitt-Gray, M. F. and McLennan, G. and Reeves, A. P. and Croft, B. Y. and Clarke, L. P. and Bidaut, Luc (2008) The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software. Clinical Pharmacology and Therapeutics, 84 (4). pp. 448-456. ISSN 0009-9236

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive

Abstract

Critical to the clinical evaluation of effective novel therapies for lung cancer is the early and accurate determination of tumor response, which requires an understanding of the sources of uncertainty in tumor measurement and subsequent attempts to minimize their effects on the assessment of the therapeutic agent. The Reference Image Database to Evaluate Response (RIDER) project seeks to develop a consensus approach to the optimization and benchmarking of software tools for the assessment of tumor response to therapy and to provide a publicly available database of serial images acquired during lung cancer drug and radiation therapy trials. Images of phantoms and patient images acquired under situations in which tumor size or biology is known to be unchanged also will be provided. The RIDER project will create standardized methods for benchmarking software tools to reduce sources of uncertainty in vital clinical assessments such as whether a specific tumor is responding to therapy. © 2008 American Society for Clinical Pharmacology and Therapeutics.

Keywords:cancer radiotherapy, cancer therapy, clinical evaluation, computer program, data base, image quality, lung cancer, phantom, priority journal, Reference Image Database to Evaluate Response, review, treatment response, tumor volume, Algorithms, Databases, Factual, Diagnosis, Computer-Assisted, Humans, Lung Neoplasms, Phantoms, Imaging, Predictive Value of Tests, Radiotherapy Planning, Computer-Assisted, Reference Standards, Software, Tomography, X-Ray Computed, Treatment Outcome, United States
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:24144
Deposited On:05 Apr 2017 09:20

Repository Staff Only: item control page