Background and Objectives: Surgical treatment is still the mainstay of curative therapy for retroperitoneal liposarcoma (RLPS), but often recurs after surgical resection. We aimed to establish a nomogram for postoperative recurrence of RLPS based on the Asian population.
Methods: Patients after surgical resection at the South Hospital of Zhongshan Hospital/Shanghai Public Health Clinical Center between August 2011 and December 2020 were included. The enrolled patients are randomly divided into training set and test set according to the ratio of 7:3. Prognostic factors were chosen based on Akaike Information Criterion, and the nomogram was built based on Cox regression and then internally validated through calibration plots and concordance index (C-index).
Results: A total of 447 patients were included. Gender, age, presentation status, organ invasion and FNCLCC grade were used to build nomogram. The calibration plots showed that RFS predicted probabilities are identical to the actual RFS rates. The C-index of the nomogram was 0.703 (95% CI 0.623– 0.783) in the training set and 0.695 (95% CI 0.565– 0.825) in test set.
Conclusion: The nomogram we established can accurately predict postoperative recurrence of RLPS patients for Asian population.

Keywords: retroperitoneal soft tissue sarcoma, liposarcoma, recurrence, nomogram, surgery


中文翻译：

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用于预测手术切除腹膜后脂肪肉瘤无复发生存的列线图的开发和验证

背景与目的：手术治疗仍是腹膜后脂肪肉瘤（RLPS）根治性治疗的主要手段，但手术切除后常复发。我们旨在建立基于亚洲人群的 RLPS 术后复发列线图。
方法：纳入2011年8月至2020年12月在中山医院南方医院/上海市公共卫生临床中心手术切除后的患者。入组患者按照7:3的比例随机分为训练集和测试集。根据 Akaike 信息标准选择预后因素，并基于 Cox 回归构建列线图，然后通过校准图和一致性指数 (C-index) 进行内部验证。
结果：共纳入 447 名患者。性别、年龄、表现状态、器官侵犯和 FNCLCC 分级用于构建列线图。校准图显示 RFS 预测概率与实际 RFS 率相同。列线图的 C 指数在训练集中为 0.703（95% CI 0.623–0.783），在测试集中为 0.695（95% CI 0.565–0.825）。
结论：我们建立的列线图可以准确预测亚洲人群 RLPS 患者的术后复发。

关键词：腹膜后软组织肉瘤，脂肪肉瘤，复发，列线图，手术