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用于高级别卵巢癌初次手术中不完全减瘤术的列线图。

Nomogram for suboptimal cytoreduction at primary surgery for advanced stage ovarian cancer.

机构信息

Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Erasmus MC-Daniel den Hoed University Oncology Center, Groene Hilledijk 301, 3075 AE Rotterdam, The Netherlands.

出版信息

Anticancer Res. 2011 Nov;31(11):4043-9.

Abstract

AIM

Maximal cytoreduction to minimal residual tumor is the most important determinant of prognosis in patients with advanced stage epithelial ovarian cancer (EOC). Preoperative prediction of suboptimal cytoreduction, defined as residual tumor >1 cm, could guide treatment decisions and improve counseling. The objective of this study was to identify predictive computed tomographic (CT) scan and clinical parameters for suboptimal cytoreduction at primary cytoreductive surgery for advanced stage EOC and to generate a nomogram with the identified parameters, which would be easy to use in daily clinical practice.

MATERIALS AND METHODS

Between October 2005 and December 2008, all patients with primary surgery for suspected advanced stage EOC at six participating teaching hospitals in the South Western part of the Netherlands entered the study protocol. To investigate independent predictors of suboptimal cytoreduction, a Cox proportional hazard model with backward stepwise elimination was utilized.

RESULTS

One hundred and fifteen patients with FIGO stage III/IV EOC entered the study protocol. Optimal cytoreduction was achieved in 52 (45%) patients. A suboptimal cytoreduction was predicted by preoperative blood platelet count (p=0.1990; odds ratio (OR)=1.002), diffuse peritoneal thickening (DPT) (p=0.0074; OR=3.021), and presence of ascites on at least two thirds of CT scan slices (p=0.0385; OR=2.294) with a for-optimism corrected c-statistic of 0.67.

CONCLUSION

Suboptimal cytoreduction was predicted by preoperative platelet count, DPT and presence of ascites. The generated nomogram can, after external validation, be used to estimate surgical outcome and to identify those patients, who might benefit from alternative treatment approaches.

摘要

目的

最大限度地减灭肿瘤至最小残余肿瘤是晚期上皮性卵巢癌(EOC)患者预后的最重要决定因素。术前预测次优减瘤术(定义为残余肿瘤>1cm)可指导治疗决策并改善咨询。本研究旨在确定预测性 CT 扫描和临床参数,以预测晚期上皮性卵巢癌初次细胞减灭术中次优减瘤术,并生成一个包含已确定参数的列线图,以便在日常临床实践中易于使用。

材料与方法

2005 年 10 月至 2008 年 12 月期间,荷兰西南部六家参与教学医院的所有疑似晚期上皮性卵巢癌的初次手术患者均纳入本研究方案。为了研究次优细胞减灭术的独立预测因素,采用向后逐步消除的 Cox 比例风险模型。

结果

115 例 FIGO 分期 III/IV 期 EOC 患者进入研究方案。52 例(45%)患者实现了最佳减瘤术。术前血小板计数(p=0.1990;优势比(OR)=1.002)、弥漫性腹膜增厚(DPT)(p=0.0074;OR=3.021)和至少三分之二 CT 扫描切片上存在腹水(p=0.0385;OR=2.294)预测次优细胞减灭术,经校正后乐观的 C 统计量为 0.67。

结论

术前血小板计数、DPT 和腹水的存在预测了次优细胞减灭术。生成的列线图可在外部验证后用于估计手术结果,并识别那些可能受益于替代治疗方法的患者。

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