2018-10-182018-10-181748670X10.1155/2015/794141http://hdl.handle.net/11285/630415In this work, the potential of X-ray based multivariate prognostic models to predict the onset of chronic knee pain is presented. Using X-rays quantitative image assessments of joint-space-width (JSW) and paired semiquantitative central X-ray scores from the Osteoarthritis Initiative (OAI), a case-control study is presented. The pain assessments of the right knee at the baseline and the 60-month visits were used to screen for case/control subjects. Scores were analyzed at the time of pain incidence (T-0), the year prior incidence (T-1), and two years before pain incidence (T-2). Multivariate models were created by a cross validated elastic-net regularized generalized linear models feature selection tool. Univariate differences between cases and controls were reported by AUC, C-statistics, and ODDs ratios. Univariate analysis indicated that the medial osteophytes were significantly more prevalent in cases than controls: C-stat 0.62, 0.62, and 0.61, at T-0, T-1, and T-2, respectively. The multivariate JSW models significantly predicted pain: AUC = 0.695, 0.623, and 0.620, at T-0, T-1, and T-2, respectively. Semiquantitative multivariate models predicted paint with C-stat = 0.671, 0.648, and 0.645 at T-0, T-1, and T-2, respectively. Multivariate models derived from plain X-ray radiography assessments may be used to predict subjects that are at risk of developing knee pain. © 2015 Jorge I. Galván-Tejada et al.info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0adultArticlecomputer assisted diagnosiscomputer predictioncontrolled studydata analysisdiagnostic accuracyelastic tissuefemalefemur condylehumanincidenceinformation processingknee painmalemiddle agednormal humanosteophytepain assessmentphysicianquantitative analysisquantitative studyradiographyagedbiological modelcase control studycomputer simulationdiagnostic imagingfactual databaseimage enhancementkneeknee osteoarthritislongitudinal studymultivariate analysispainpain measurementpathophysiologystatistical modelstatistics and numerical dataAgedCase-Control StudiesComputer SimulationDatabases, FactualFemaleHumansKnee JointLinear ModelsLongitudinal StudiesMaleMiddle AgedModels, BiologicalMultivariate AnalysisOsteoarthritis, KneePainPain MeasurementRadiographic Image Enhancement7 INGENIERÍA Y TECNOLOGÍAArtículo2015