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A novel dosimetric metrics-based risk model to predict local recurrence in nasopharyngeal carcinoma patients treated with intensity-modulated radiation therapy

机译:基于新型的基于剂量的度量标准的风险模型,以预测强度调制放射治疗治疗的鼻咽癌患者局部复发

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To develop a risk model based on dosimetric metrics to predict local recurrence in nasopharyngeal carcinoma (NPC) patients treated with intensive modulated radiation therapy (IMRT). 493 consecutive patients were included, among whom 44 were with local recurrence. One-to-two propensity score matching (PSM) was used to balance variables between recurrent and non-recurrent groups. Dosimetric metrics were extracted, and critical dosimetric predictors of local recurrence were identified by Cox regression model. Moreover, recurrent sites and patterns were examined by transferring the recurrent tumor to the pretreatment planning computed tomography. After PSM, 44 recurrent and 88 non-recurrent patients were used for dosimetric analysis. The univariate analysis showed that eight dosimetric metrics and homogeneity index were significantly associated with local recurrence. The risk model integrating D5 and D95 achieved a C-index of 0.706 for predicting 3-year local recurrence free survival (LRFS). By grouping patients using median value of risk score, patients with risk score ? 0.885 had significantly lower 3-year LRFS (66.2% vs. 86.4%, p?=?0.023). As for recurrent features, the proportion of relapse in nasopharynx cavity, clivus, and pterygopalatine fossa was 61.4%, 52.3%, and 40.9%, respectively; and in field, marginal, and outside field recurrence constituted 68.2%, 20.5% and 11.3% of total recurrence, respectively. The current study developed a novel risk model that could effectively predict the LRFS in NPC patients. Additionally, nasopharynx cavity, clivus, and pterygopalatine fossa were common recurrent sites and in field recurrence remained the major failure pattern of NPC in the IMRT era.
机译:发展基于剂量测定度量的风险模型预测鼻咽癌(NPC)患者的鼻咽癌(NPC)患者(IMRT)。包括连续493名患者,其中44名是局部复发。一到两个倾向得分匹配(PSM)用于平衡复发性和非反复间组之间的变量。提取了剂量测定度量,通过COX回归模型鉴定了局部复发的临界剂量预测因子。此外,通过将复发性肿瘤转移到预处理计划的断层扫描来检查反复化部位和模式。 PSM,44次复发性和88名非经常性患者用于剂量态分析。单变量分析表明,八个剂量度量和均匀性指数与局部复发显着相关。整合D5和D95的风险模型达到了0.706的C折射率,用于预测3年局部复发自由存活(LRF)。通过使用风险评分的中位值进行分组患者,风险评分患者? 0.885显着低于3年的LRF(66.2%,对86.4%,p?= 0.023)。对于复发特征,鼻咽腔中复发的比例分别为61.4%,52.3%和40.9%;在现场,边际和外部野外复发分别占总复发的68.2%,20.5%和11.3%。目前的研究开发了一种新的风险模型,可以有效地预测NPC患者的LRF。此外,鼻咽腔,康西法和翼状胬肉窝是常见的反复性网站,并且在现场复发中仍然是IMRT时代的NPC的主要失败模式。

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