Multivariate normal tissue complication probability modeling of heart valve dysfunction in Hodgkin lymphoma survivors(512 views) Cella L, Liuzzi R, Conson M, D'Avino V, Salvatore M, Pacelli R
Int J Radiat Oncol (ISSN: 0360-3016, 1879-355x, 1879-355xelectronic), 2013 Oct 1; 87(2): 304-310.
Keywords: Chemoradiation Therapies, Clinical Information, Methods And Materials, Multivariate Logistic Regressions, Receiver Operating Characteristic Curves, Resampling Technique, Spearman, S Rank Correlation Coefficients, Statistical Evidence, Biological Organs, Oncology, Patient Monitoring, Regression Analysis, Tissue, Heart, Adolescent, Adult, Aged, Article, Cancer Survivor, Chemoradiotherapy, Dosimetry, Female, Heart Left Atrium, Heart Left Ventricle, Heart Right Atrium, Heart Right Ventricle, Heart Volume, Hodgkin Disease, Human, Lung Volume, Major Clinical Study, Normal Tissue Complication Probability, Predictive Value, Priority Journal, Radiation Dose, Radiation Dose Distribution, Radiation Injury, Retrospective Study, Simulation, Valvular Heart Disease, Antineoplastic Combined Chemotherapy Protocols, Area Under Curve, Heart Valve Diseases, Middle Aged, Models, Multivariate Analysis, Organ Size, Radiation Injuries, Retrospective Studies, Young Adult,
Affiliations: *** IBB - CNR ***
Institute of Biostructures and Bioimaging, National Council of Research, Naples, Italy. laura.cella@cnr.it
Department of Advanced Biomedical Sciences, Federico II University School of Medicine, Naples, Italy
References: Not available.
Multivariate normal tissue complication probability modeling of heart valve dysfunction in Hodgkin lymphoma survivors
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
Multivariate normal tissue complication probability modeling of heart valve dysfunction in Hodgkin lymphoma survivors
No results.
Multivariate normal tissue complication probability modeling of heart valve dysfunction in Hodgkin lymphoma survivors