Department for Oral and Craniomaxillofacial Plastic Surgery, University of Cologne, Cologne, Germany.
Department for Oral and Craniomaxillofacial Plastic Surgery, University of Cologne, Cologne, Germany.
Oral Oncol. 2017 Sep;72:48-55. doi: 10.1016/j.oraloncology.2017.07.005. Epub 2017 Jul 13.
Log odds of positive lymph nodes (LODDS) has been demonstrated as a very promising staging model for multiple cancer sites, as it avoids singularity and predicts prognosis significantly better than conventional nodal staging and lymph node ratio. However, published studies on the influence of LODDS for patients with OSCC are very seldom.
Retrospective chart review of 499 patients with treatment-naive oral squamous cell carcinoma. Exclusion criteria were neoadjuvant chemoradiotherapy, T4b classification, perioperative death, unresectable disease, synchronous malignancy, follow-up < 3 months and inadequate information to correctly determine nodal yield. Statistical analysis was performed using univariate and multivariate analysis.
A significant correlation was found between locoregional recurrence and pathologic T classification (p=0.030), pathologic N classification p=0.013), extracapsular spread (p=0.034), grading (p=0.021), number of positive lymph nodes (p=0.042), lymph node ratio (p=0.009), LODDS (p=0.007) and treatment strategy (p=0.039). Multivariate analysis indicated lymph node ratio (p=0.029) and LODDS (p=0.015) as independent indicators for locoregional recurrence. Within the analyzed models, Nagelkerke R2 index and Someŕs D showed the strongest discrimination ability for LODDS.
For patients with oral squamous cell carcinoma, log odds of positive lymph nodes and lymph node ratio are independent indicators for locoregional recurrence. LODDS predicts locoregional recurrence better than conventional nodal staging system, lymph node ratio and the number of positive lymph nodes.
对数阳性淋巴结比(LODDS)已被证明是一种非常有前途的多部位癌症分期模型,因为它避免了奇点,并且比传统的淋巴结分期和淋巴结比值更能显著预测预后。然而,关于 LODDS 对口腔鳞状细胞癌(OSCC)患者的影响的研究非常少见。
对 499 例未经治疗的口腔鳞状细胞癌患者进行回顾性图表审查。排除标准为新辅助放化疗、T4b 分类、围手术期死亡、不可切除疾病、同步恶性肿瘤、随访<3 个月以及无法正确确定淋巴结产量的信息不足。使用单变量和多变量分析进行统计分析。
局部区域复发与病理 T 分类(p=0.030)、病理 N 分类(p=0.013)、包膜外扩散(p=0.034)、分级(p=0.021)、阳性淋巴结数(p=0.042)、淋巴结比值(p=0.009)、LODDS(p=0.007)和治疗策略(p=0.039)之间存在显著相关性。多变量分析表明,淋巴结比值(p=0.029)和 LODDS(p=0.015)是局部区域复发的独立指标。在所分析的模型中,Nagelkerke R2 指数和 Someŕs D 对 LODDS 的区分能力最强。
对于口腔鳞状细胞癌患者,对数阳性淋巴结比和淋巴结比值是局部区域复发的独立指标。LODDS 比传统的淋巴结分期系统、淋巴结比值和阳性淋巴结数更能预测局部区域复发。