Please use this identifier to cite or link to this item: https://physrep.ff.bg.ac.rs/handle/123456789/1205
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dc.contributor.authorEl Naqa, Ien_US
dc.contributor.authorSuneja, Gen_US
dc.contributor.authorLindsay, P Een_US
dc.contributor.authorHope, A Jen_US
dc.contributor.authorAlaly, J Ren_US
dc.contributor.authorVićić, Milošen_US
dc.contributor.authorBradley, J Den_US
dc.contributor.authorApte, Aen_US
dc.contributor.authorDeasy, J Oen_US
dc.date.accessioned2022-07-12T18:35:38Z-
dc.date.available2022-07-12T18:35:38Z-
dc.date.issued2006-11-21-
dc.identifier.issn0031-9155en
dc.identifier.urihttps://physrep.ff.bg.ac.rs/handle/123456789/1205-
dc.description.abstractRadiotherapy treatment outcome models are a complicated function of treatment, clinical and biological factors. Our objective is to provide clinicians and scientists with an accurate, flexible and user-friendly software tool to explore radiotherapy outcomes data and build statistical tumour control or normal tissue complications models. The software tool, called the dose response explorer system (DREES), is based on Matlab, and uses a named-field structure array data type. DREES/Matlab in combination with another open-source tool (CERR) provides an environment for analysing treatment outcomes. DREES provides many radiotherapy outcome modelling features, including (1) fitting of analytical normal tissue complication probability (NTCP) and tumour control probability (TCP) models, (2) combined modelling of multiple dose-volume variables (e.g., mean dose, max dose, etc) and clinical factors (age, gender, stage, etc) using multi-term regression modelling, (3) manual or automated selection of logistic or actuarial model variables using bootstrap statistical resampling, (4) estimation of uncertainty in model parameters, (5) performance assessment of univariate and multivariate analyses using Spearman's rank correlation and chi-square statistics, boxplots, nomograms, Kaplan-Meier survival plots, and receiver operating characteristics curves, and (6) graphical capabilities to visualize NTCP or TCP prediction versus selected variable models using various plots. DREES provides clinical researchers with a tool customized for radiotherapy outcome modelling. DREES is freely distributed. We expect to continue developing DREES based on user feedback.en
dc.language.isoenen
dc.relation.ispartofPhysics in medicine and biologyen
dc.subject.meshModels, Biologicalen
dc.subject.meshNeoplasmsen
dc.subject.meshOutcome Assessment, Health Careen
dc.subject.meshRadiotherapy Planning, Computer-Assisteden
dc.subject.meshRadiotherapy, Computer-Assisteden
dc.subject.meshSoftwareen
dc.subject.meshUser-Computer Interfaceen
dc.titleDose response explorer: an integrated open-source tool for exploring and modelling radiotherapy dose-volume outcome relationshipsen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.1088/0031-9155/51/22/001-
dc.identifier.pmid17068361-
dc.identifier.scopus2-s2.0-33846889320-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/33846889320-
dc.relation.issue22en
dc.relation.volume51en
dc.relation.firstpage5719-35en
dc.relation.lastpage5735en
item.openairetypeJournal Article-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
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