Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.
Ann Surg. 2012 Feb;255(2):343-7. doi: 10.1097/SLA.0b013e3182367aa7.
To develop a nomogram based on clinicopathologic factors to quantify the risk of local recurrence (LR) after limb-sparing surgery without adjuvant radiation (RT).
Review of our prospective sarcoma database identified 684 patients with primary, nonmetastatic, extremity STS treated with limb-sparing surgery alone between June 1982 and December 2006. No patient received adjuvant radiation or chemotherapy. Age, sex, grade, depth, size, site, margin status and histology were analyzed for prognostic significance with respect to local recurrence rates using Gray's test. Variables which were significant in univariate analysis at the 0.05 level were entered into a multivariate competing risk regression model. On the basis of the multivariate analysis, a nomogram for predicting the 3- and 5-year risk of LR was developed using R libraries cmprsk and QHScrnomo. Concordance index (C-index) was calculated to evaluate the discriminatory power of the prognostic model.
With a median follow-up of 58 months for censored patients (73 months for all patients), the overall 3- and 5-year actuarial local recurrence rates were 11% and 13%, respectively. Factors included in the nomogram were age (≤ 50 vs. >50), size (≤ 5 vs. >5 cm), margin status (negative vs. positive), grade (low vs. high), and histology (atypical lipomatous tumor/well differentiated liposarcoma vs. other). The STS nomogram predicted the local recurrence rate with a C-index of 0.73.
A nomogram for extremity STS that includes age, size, margin status, grade of tumor, and histology predicts the 3- and 5-year risk of local recurrence after limb-sparing surgery in the absence of adjuvant RT.
基于临床病理因素建立一个列线图,以量化不接受辅助放疗(RT)的保肢手术后局部复发(LR)的风险。
对我们的前瞻性肉瘤数据库进行了回顾,共纳入了 1982 年 6 月至 2006 年 12 月期间接受单纯保肢手术治疗的 684 例原发性、非转移性、肢体 STS 患者。所有患者均未接受辅助放疗或化疗。采用 Gray 检验分析年龄、性别、分级、深度、大小、部位、切缘状态和组织学对局部复发率的预后意义。单因素分析中 P 值<0.05 的变量被纳入多变量竞争风险回归模型。基于多变量分析,使用 R 库 cmprsk 和 QHScrnomo 开发了预测 LR 3 年和 5 年风险的列线图。计算一致性指数(C-index)以评估预测模型的判别能力。
对于删失患者,中位随访时间为 58 个月(所有患者为 73 个月),总体 3 年和 5 年局部复发率分别为 11%和 13%。列线图纳入的因素包括年龄(≤ 50 岁 vs.>50 岁)、大小(≤ 5cm vs.>5cm)、切缘状态(阴性 vs.阳性)、分级(低级别 vs.高级别)和组织学(非典型脂肪肉瘤/高分化脂肪肉瘤 vs.其他)。STS 列线图预测局部复发率的 C-index 为 0.73。
一个包含年龄、大小、切缘状态、肿瘤分级和组织学的肢体 STS 列线图可以预测在不接受辅助 RT 的情况下保肢手术后 3 年和 5 年的局部复发风险。