Multivariate normal tissue complication probability modeling of heart valve dysfunction in Hodgkin lymphoma survivors
| Autor: | Marco Salvatore, Manuel Conson, Vittoria D’Avino, Raffaele Liuzzi, Roberto Pacelli, Laura Cella |
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| Přispěvatelé: | Laura, Cella, Raffaele, Liuzzi, Conson, Manuel, Vittoria, D?avino, Salvatore, Marco, Pacelli, Roberto |
| Rok vydání: | 2013 |
| Předmět: |
Adult
Male Cancer Research medicine.medical_specialty Multivariate analysis Adolescent Heart Valve Diseases Logistic regression Asymptomatic Young Adult Internal medicine Antineoplastic Combined Chemotherapy Protocols medicine Humans Radiology Nuclear Medicine and imaging Lung volumes Heart valve Survivors Radiation Injuries Lung Rank correlation Aged Probability Retrospective Studies Radiation Models Statistical Receiver operating characteristic business.industry Heart Chemoradiotherapy Organ Size Middle Aged Heart Valves Hodgkin Disease medicine.anatomical_structure Oncology Area Under Curve Multivariate Analysis Cardiology Female medicine.symptom business Nuclear medicine |
| Zdroj: | International journal of radiation oncology, biology, physics 87 (2013): 304–310. doi:10.1016/j.ijrobp.2013.05.049 info:cnr-pdr/source/autori:CELLA L, Liuzzi R, Conson M, D'Avino V, Salvatore M and Pacelli R/titolo:Multivariate Normal Tissue Complication Probability Modeling of Heart Valve Dysfunction in Hodgkin Lymphoma Survivors./doi:10.1016%2Fj.ijrobp.2013.05.049/rivista:International journal of radiation oncology, biology, physics (Print)/anno:2013/pagina_da:304/pagina_a:310/intervallo_pagine:304–310/volume:87 |
| ISSN: | 1879-355X |
| DOI: | 10.1016/j.ijrobp.2013.05.049 |
| Popis: | To establish a multivariate normal tissue complication probability (NTCP) model for radiation-induced asymptomatic heart valvular defects (RVD).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).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.001, AUC = 0.83). When we analyzed the cardiac chambers individually, for the left atrium and for the left ventricle, an NTCP model based on 3 variables including the percentage volume exceeding 30 Gy (V30), cardiac chamber volume, and lung volume was selected as the most predictive model (Rs = 0.539, P.001, AUC = 0.83; and Rs = 0.557, P.001, AUC = 0.82, respectively). The NTCP values increase as heart maximum dose or cardiac chambers V30 increase. They also increase with larger volumes of the heart or cardiac chambers and decrease when lung volume is larger.We propose logistic NTCP models for RVD considering not only heart irradiation dose but also the combined effects of lung and heart volumes. Our study establishes the statistical evidence of the indirect effect of lung size on radio-induced heart toxicity. |
| Databáze: | OpenAIRE |
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