0000000001057102

AUTHOR

Ibrahima Diallo

showing 1 related works from this author

Functional Data Analysis in NTCP Modeling: A New Method to Explore the Radiation Dose-Volume Effects

2014

Purpose/Objective(s) To describe a novel method to explore radiation dose-volume effects. Functional data analysis is used to investigate the information contained in differential dose-volume histograms. The method is applied to the normal tissue complication probability modeling of rectal bleeding (RB) for patients irradiated in the prostatic bed by 3-dimensional conformal radiation therapy. Methods and Materials Kernel density estimation was used to estimate the individual probability density functions from each of the 141 rectum differential dose-volume histograms. Functional principal component analysis was performed on the estimated probability density functions to explore the variatio…

Functional principal component analysisCancer ResearchMultivariate statisticsRadiationbusiness.industryKernel density estimationFunctional data analysisRegression analysisLogistic regressionConfidence intervalOncologyStatisticsPrincipal component analysisMedicineRadiology Nuclear Medicine and imagingNuclear medicinebusinessInternational Journal of Radiation Oncology*Biology*Physics
researchProduct