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Risk assessment tool for distant recurrence after platinum-based concurrent chemoradiation in patients with locally advanced cervical cancer: A Korean Gynecologic Oncology Group study

机译:局部晚期宫颈癌患者铂类同时放化疗后远距离复发的风险评估工具:韩国妇科肿瘤小组的一项研究

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Purpose: Our study aimed to develop a model to predict distant recurrence in locally advanced cervical cancer, which can be used to select high-risk patients in enriched clinical trials. Patients and Methods: Our study was a retrospective analysis of a multi-institutional cohort of patients treated between 2001 and 2009. According to the order of data submission, data from three institutions were allocated to a model development cohort (n = 434), and data from the remaining two institutions were allocated to an external validation cohort (n = 115). Patient information including [ 18F] fluorodeoxyglucose positron emission tomography (FDG-PET) data and clinical outcome was modeled using competing risk regression analysis to predict 5-year cumulative incidence of distant recurrence. Results: The competing risk analysis revealed that the following four parameters were significantly associated with distant recurrence: pelvic and para-aortic nodal positivity on FDG-PET, nonsquamous cell histology, and pretreatment serum squamous cell carcinoma antigen levels. This four-parameter model showed good discrimination and calibration, with a bootstrap-adjusted concordance index of 0.70. Also, the validation set showed good discrimination with a bootstrap-adjusted concordance index of 0.73. A user-friendly Web-based nomogram predicting 5-year probability of distant recurrence was developed. Conclusion: We have developed a robust model to predict the risk of distant recurrence in patients with locally advanced cervical cancer. Further, we discussed how the selective enrichment of the patient population could facilitate clinical trials of systemic chemotherapy in locally advanced cervical cancer.
机译:目的:我们的研究旨在建立一个预测局部晚期宫颈癌远距离复发的模型,该模型可用于丰富的临床试验中选择高危患者。患者与方法:我们的研究是对2001年至2009年间接受治疗的多机构队列的回顾性分析。根据数据提交的顺序,将来自三个机构的数据分配给模型开发队列(n = 434),并且其余两个机构的数据分配给外部验证队列(n = 115)。使用竞争风险回归分析对包括[18F]氟脱氧葡萄糖正电子发射断层扫描(FDG-PET)数据和临床结果的患者信息进行建模,以预测远距复发的5年累积发生率。结果:竞争风险分析表明,以下四个参数与远处复发显着相关:骨盆和主动脉旁淋巴结对FDG-PET呈阳性,非鳞状细胞组织学检查,以及预处理血清鳞状细胞癌抗原水平。该四参数模型显示出良好的辨别力和校准能力,经bootstrap调整后的一致性指数为0.70。同样,验证集显示出良好的可分辨性,经引导调整的一致性指数为0.73。开发了一种用户友好的基于网络的列线图,预测了5年远距离复发的可能性。结论:我们已经开发出了一个强大的模型来预测局部晚期宫颈癌患者远处复发的风险。此外,我们讨论了选择性富集患者人群如何促进局部晚期宫颈癌全身化疗的临床试验。

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