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Dosimetric and clinical factors for predicting acute radiation oral mucositis in locally advanced nasopharyngeal carcinoma patients treated with intensity?modulated radiotherapy with concurrent chemotherapy / 中华放射肿瘤学杂志
Chinese Journal of Radiation Oncology ; (6): 255-260, 2017.
Artigo em Chinês | WPRIM | ID: wpr-510236
ABSTRACT
Objective To prospectively determine the dosimetric and clinical factors for predicting the risk of acute radiation oral mucositis ( ROM ) in patients receiving intensity?modulated radiotherapy ( IMRT) with concurrent chemotherapy for local advanced nasopharyngeal carcinoma. Methods Ninety?two patients who were treated with IMRT with concurrent chemotherapy from 2015 to 2016 for local advanced nasopharyngeal carcinoma were included in this study, and their acute ROM was scored according to the RTOG criteria. Grade≥3 ROM was used as a surrogate marker for severe mucositis, which was defined as a toxicity endpoint. The clinical data were reviewed, and the dose?volume histograms ( DVHs) of the patients were exported from the IMRT planning system. Optimal thresholds for predicting the incidence of severe ROM were evaluated by the area under the receiver operating characteristic ( ROC) curve ( AUC) . Results The incidence of severe ROM was 21%(19/92). Weight loss and V30 of the oral mucosa were determined as the independent predictors for severe ROM ( P=0017 and 0003, respectively) . The optimal cut?off point and AUC of V30 of the oral mucosa as a predictor for severe ROM were 7316%( 0842 sensitivity and 0671 specificity) and 0753( P=0001) , respectively. Conclusion Weight loss and V30 of the oral mucosa are predictors for severe ROM.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Radiation Oncology Ano de publicação: 2017 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico Idioma: Chinês Revista: Chinese Journal of Radiation Oncology Ano de publicação: 2017 Tipo de documento: Artigo