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Impact of tumour volume on prediction of progression-free survival in sinonasal cancer

机译：肿瘤体积对鼻窦癌无进展生存期预测的影响

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Background. The present study aimed to analyse potential prognostic factors, with emphasis on tumour volume, in determining progression free survival (PFS) for malignancies of the nasal cavity and the paranasal sinuses.Patients and methods. Retrospective analysis of 106 patients with primary sinonasal malignancies treated and followed-up between March 2006 and October 2012. Possible predictive parameters for PFS were entered into univariate and multivariate Cox regression analysis. Kaplan-Meier curve analysis included age, sex, baseline tumour volume (based on MR imaging), histology type, TNM stage and prognostic groups according to the American Joint Committee on Cancer (AJCC) classification. Receiver operating characteristic (ROC) curve analysis concerning the predictive value of tumour volume for recurrence was also conducted.Results. The main histological subgroup consisted of epithelial tumours (77%). The majority of the patients (68%) showed advanced tumour burden (AJCC stage III-IV). Lymph node involvement was present in 18 cases. The mean tumour volume was 26.6 ?± 21.2 cm3. The median PFS for all patients was 24.9 months (range: 2.5a€“84.5 months). The ROC curve analysis for the tumour volume showed 58.1% sensitivity and 75.4% specificity for predicting recurrence. Tumour volume, AJCC staging, T- and N-stage were significant predictors in the univariate analysis. Positive lymph node status and tumour volume remained significant and independent predictors in the multivariate analysis.Conclusions. Radiological tumour volume proofed to be a statistically reliable predictor of PFS. In the multivariate analysis, T-, N- and overall AJCC staging did not show significant prognostic value.
机译：背景。本研究旨在分析潜在的预后因素，重点是肿瘤的体积，以确定鼻腔和鼻旁窦恶性肿瘤的无进展生存期（PFS）。患者和方法。回顾性分析了2006年3月至2012年10月间接受治疗并随访的106例原发性鼻窦恶性肿瘤患者。单因素和多因素Cox回归分析纳入了PFS可能的预测参数。根据美国癌症联合委员会（AJCC）分类，Kaplan-Meier曲线分析包括年龄，性别，基线肿瘤体积（基于MR成像），组织学类型，TNM分期和预后组。还进行了有关肿瘤体积对复发的预测价值的受试者工作特征（ROC）曲线分析。主要的组织学亚组包括上皮肿瘤（77％）。大多数患者（68％）表现出晚期肿瘤负荷（AJCC III-IV期）。 18例出现淋巴结受累。平均肿瘤体积为26.6±21.2cm 3。所有患者的中位PFS为24.9个月（范围：2.5a-84.5个月）。肿瘤体积的ROC曲线分析显示58.1％的敏感性和75.4％的特异性可预测复发。在单变量分析中，肿瘤体积，AJCC分期，T期和N期是重要的预测指标。在多变量分析中，阳性淋巴结状态和肿瘤体积仍然很重要，并且是独立的预测因素。放射肿瘤体积证明是PFS的统计可靠预测指标。在多变量分析中，T，N和总体AJCC分期均未显示明显的预后价值。

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