Multivariate normal tissue complication probability modeling of heart valve dysfunction in hodgkin lymphoma survivors

Laura Cella, Raffaele Liuzzi, Manuel Conson, Vittoria D'Avino, Marco Salvatore, Roberto Pacelli

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose To establish a multivariate normal tissue complication probability (NTCP) model for radiation-induced asymptomatic heart valvular defects (RVD). Methods and Materials Fifty-six patients treated with sequential chemoradiation therapy for Hodgkin lymphoma (HL) were retrospectively reviewed for RVD events. Clinical information along with whole heart, cardiac chambers, and lung dose distribution parameters was collected, and the correlations to RVD were analyzed by means of Spearman's rank correlation coefficient (Rs). For the selection of the model order and parameters for NTCP modeling, a multivariate logistic regression method using resampling techniques (bootstrapping) was applied. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC). Results When we analyzed the whole heart, a 3-variable NTCP model including the maximum dose, whole heart volume, and lung volume was shown to be the optimal predictive model for RVD (Rs = 0.573, P

Original languageEnglish
Pages (from-to)304-310
Number of pages7
JournalInternational Journal of Radiation Oncology Biology Physics
Volume87
Issue number2
DOIs
Publication statusPublished - Oct 1 2013

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation
  • Cancer Research

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