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首页> 外文期刊>Journal of Surgical Oncology >Novel nomogram combining depth of invasion and size can accurately predict the risk for regional nodal metastases for appendiceal neuroendocrine tumors (A‐NET)
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Novel nomogram combining depth of invasion and size can accurately predict the risk for regional nodal metastases for appendiceal neuroendocrine tumors (A‐NET)

机译:组合侵袭和大小的新型罗维图可以准确地预测阑尾神经内分泌肿瘤(A-NET)的区域核糖转移的风险

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摘要

Introduction The need for regional lymphadenectomy for treating appendiceal neuroendocrine tumors (A‐NET) is determined by the risk of nodal metastasis. Current guidelines for A‐NET are solely based on tumor size. Methods Patients with A‐NET from 1988 to 2012 were identified from the SEER registry. The depth of invasion was defined as limited to the lamina propria (LP), invading the muscularis propria (MP), and through the serosa (TS). Results A total of 418 patients were included; the majority were female, white, and node‐negative. On univariate and multivariable, the risk of nodal metastasis was associated with age, size, depth of invasion, and extent of surgery. The model predicted the likelihood of nodal metastasis, with an area under the curve of 0.89. On survival analysis, age and tumor size predicted the survival in A‐NET. In a Cox regression model, they continued to predict survival. These data were utilized to create a nomogram to predict the risk of nodal metastases. Conclusion This nomogram, accurately predicts the risk of regional nodal metastases in A‐NET. In addition to providing valuable information on risk for regional nodal metastases, the depth of invasion is also predictive of survival for A‐NET.
机译:简介需要对治疗阑尾神经内分泌肿瘤(A-NET)进行区域淋巴结切除术的需求由节点转移的风险决定。 A-NET的目前的指导性仅基于肿瘤大小。方法从1988年至2012年患者从SEER登记处确定了患者。侵袭的深度定义为Lapina Propria(LP),侵入肌肉血栓(MP),并通过血清水溶液(TS)。结果共有418名患者;大多数是女性,白色和节点负数。在单变量和多变量中,节点转移的风险与年龄,大小,入侵深度和手术程度相关。该模型预测节点转移的可能性,曲线下的区域为0.89。关于存活分析,年龄和肿瘤大小预测A-NET的存活率。在COX回归模型中,他们继续预测生存。这些数据被利用来创建墨顶图以预测节点转移的风险。结论该墨顶图,准确预测A-NET中区域节节转移的风险。除了提供有关区域节点转移的风险的有价值的信息外,侵袭的深度也可预测A-Net的存活。

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