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Prognostic value of cervical nodal tumor volume in nasopharyngeal carcinoma: Analysis of 1230 patients with positive cervical nodal metastasis

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机构: [1]Sun Yat Sen Univ, Dept Radiat Oncol, Canc Ctr, Collaborat Innovat Ctr Canc Med,State Key Lab Onc, Guangzhou, Guangdong, Peoples R China
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Purpose To investigate the variability and prognostic value of nodal tumor volume (NTV) in nasopharyngeal carcinoma (NPC). Methods and materials Data on 1230 patients with newly diagnosed stage T1-4N1-3M0 NPC treated with definitive radiation therapy with or without chemotherapy at a single cancer center were reviewed. NTV was determined from dose volume histogram (DVH) data. X-tile analysis was applied to identify the optimal cut-off points for the NTV with respect to regional recurrence-free survival (RRFS). Correlations between the TNM classification system, NTV and RRFS were assessed using a Cox regression model. Cross-validation based on receiver operating characteristic (ROC) curve analysis was applied to compare the prognostic predictive validity of NTV and N categories. Results Within a median follow-up of 49.9 (range, 1.27-76.40) months, 61/1230 (5%) patients developed regional recurrence and 154 (12.5%) developed distant metastasis. NTV values of 7.2 cc and 35.7 cc were identified as the optimal cut-off points. Patients with larger NTV had poorer prognosis. Compared with the N category, NTV was better at determining RRFS for patients with NPC. Hazard ratios increased with NTV, ranging from 1.86 (95% confidence interval [95% CI], 0.92-3.78) for NTV between 7.2 cc to 35.7 cc, and 3.67 (95% CI, 1.58-8.50) for NTV > 35.7 cc. With both NTV and N category in the same Cox regression model, only NTV remained statistically significant in the RRFS of NPC. The validation results with ROC curves also revealed that, NTV was superior to N category for predicting RRFS with significantly larger area under the ROC curve. Conclusions NTV offers important prognostic value for treatment outcomes in NPC, especially regional control. Volumetric analysis of nodal involvement may assist selection of patients with poor prognosis.

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出版当年[2017]版:
大类 | 3 区 生物
小类 | 3 区 综合性期刊
最新[2023]版:
大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
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第一作者机构: [1]Sun Yat Sen Univ, Dept Radiat Oncol, Canc Ctr, Collaborat Innovat Ctr Canc Med,State Key Lab Onc, Guangzhou, Guangdong, Peoples R China
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通讯机构: [1]Sun Yat Sen Univ, Dept Radiat Oncol, Canc Ctr, Collaborat Innovat Ctr Canc Med,State Key Lab Onc, Guangzhou, Guangdong, Peoples R China
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