The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software
Version 2 2024-03-12, 14:37Version 2 2024-03-12, 14:37
Version 1 2023-10-19, 09:51Version 1 2023-10-19, 09:51
journal contribution
posted on 2024-03-12, 14:37 authored by S. G. Armato III, C. R. Meyer, M. F. McNitt-Gray, G. McLennan, A. P. Reeves, B. Y. Croft, L. P. Clarke, Luc Bidaut<p>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.</p>
History
School affiliated with
- School of Computer Science (Research Outputs)
Publication Title
Clinical Pharmacology and TherapeuticsVolume
84Issue
4Pages/Article Number
448-456Publisher
American Society for Clinical Pharmacology and Therapeutics / Nature Publishing GroupExternal DOI
ISSN
0009-9236eISSN
1532-6535Date Submitted
2017-04-05Date Accepted
2008-07-08Date of First Publication
2008-08-27Date of Final Publication
2008-08-27ePrints ID
24144Usage metrics
Categories
No categories selectedKeywords
Algorithmscancer radiotherapycancer therapyclinical evaluationcomputer programComputer-Assisteddata baseDatabasesDiagnosisFactualHumansimage qualityImaginglung cancerLung NeoplasmsphantomPhantomsPredictive Value of Testspriority journalRadiotherapy PlanningReference Image Database to Evaluate ResponseReference StandardsreviewSoftwareTomographyTreatment Outcometreatment responsetumor volumeUnited StatesX-Ray Computed
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC


