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首页> 外文期刊>Surgical oncology >Quantification of risk of a positive (R1) resection margin following hepatic resection for metastatic colorectal cancer: An aid to clinical decision-making.
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Quantification of risk of a positive (R1) resection margin following hepatic resection for metastatic colorectal cancer: An aid to clinical decision-making.

机译:转移性结直肠癌肝切除术后阳性(R1)切除切缘的风险量化:有助于临床决策。

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BACKGROUND AND AIMS: Margin involvement following liver resection for colorectal cancer is associated with early disease recurrence and shorter long-term survival. This study aimed to develop a predictive index for quantifying the likelihood of a positive resection margin (R1) for patients undergoing hepatic resection for metastatic colorectal cancer. METHODS: Clinical, pathological and complete follow-up data were prospectively collected from 1005 consecutive liver resections performed in 929 patients for colorectal liver metastases with curative intent at a single centre between 1987 and 2005. Ninety-four resections in 81 patients with extra-hepatic disease were excluded, leaving 911 resections (844 primary and 67 repeat) in 848 patients for analysis. Multivariate logistic regression was used to identify independent predictors of margin involvement and from the beta-coefficients generated, develop a predictive model that was validated using measures of discrimination and calibration. RESULTS: There were 80 (8.8%) R1 resections, with a 5-year cancer-specific survival for R0 and R1 hepatic resections of 39.7% and 17.8%, respectively; p<0.001. On multivariate analysis, five risk factors were found to be independent predictors of an R1 resection: non-anatomical resection vs. anatomical resection (odds ratio (OR)=4.3, p=0.001), >3 hepatic metastases involving >50% of the liver vs. <3 metastases (OR=4.0, p<0.001); bilobar vs. unilobar disease (OR=2.9, p<0.001); repeat vs. primary hepatic resection (OR=3.1, p=0.006); abnormal vs. normal pre-operative liver function tests (OR=1.6, p=0.044). These five factors were used to develop a predictive model, which when tested, fitted the data well, with an area under the receiver operating characteristic curve of 78.1% (S.E.=2.7%). CONCLUSIONS: This study describes an accurate model for quantifying the risk of a positive margin following hepatic resection for liver metastases. It may be used pre-operatively by multi-disciplinary teams to identify patients who may benefit from neoadjuvant therapy prior to liver surgery, thus minimizing the risk of a positive resection margin.
机译:背景与目的:结直肠癌肝切除术后的切缘受累与早期疾病复发和较短的长期生存有关。这项研究旨在建立一个预测指标,用于量化转移性大肠癌肝切除患者的阳性切除余量(R1)的可能性。方法:前瞻性收集1987年至2005年间在一个中心进行的929例结直肠癌肝转移患者的1005例连续肝切除术的临床,病理学和完整的随访资料,并进行了根治性治疗。94例切除术在81例肝外切除患者中进行。排除了该病,对848例患者进行了911切除(844例原发和67例重复)的分析。使用多元逻辑回归分析来确定保证金参与的独立预测因子,并从生成的β系数中建立一个预测模型,该模型已通过判别和校准措施得到了验证。结果:R1切除术有80例(8.8%),R0和R1肝切除术的5年癌症特异性生存率分别为39.7%和17.8%。 p <0.001。在多因素分析中,发现五个风险因素是R1切除的独立预测因素:非解剖切除与解剖切除(比值比(OR)= 4.3,p = 0.001),> 3例肝转移涉及> 50%的肝转移。肝脏vs. <3转移(OR = 4.0,p <0.001);双叶与单叶疾病(OR = 2.9,p <0.001);重复与原发性肝切除(OR = 3.1,p = 0.006);术前肝功能测试正常与正常(OR = 1.6,p = 0.044)。这五个因素用于建立预测模型,该模型经测试可很好地拟合数据,接收器工作特性曲线下的面积为78.1%(标准误差= 2.7%)。结论:本研究描述了一种准确的模型,用于量化肝切除术后肝转移阳性边缘的风险。多学科团队可在术前使用它来识别可能在肝脏手术前从新辅助治疗中受益的患者,从而将切缘阳性的风险降到最低。

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