Zhuang Aobo, Wu Qian, Tong Hanxing, Zhang Yong, Lu Weiqi
Department of General Surgery, South Hospital of Zhongshan Hospital/Shanghai Public Health Clinical Center, Fudan University, Shanghai, People's Republic of China.
Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Cancer Manag Res. 2021 Aug 24;13:6633-6639. doi: 10.2147/CMAR.S321324. eCollection 2021.
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.
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).
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.
The nomogram we established can accurately predict postoperative recurrence of RLPS patients for Asian population.
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。我们旨在基于亚洲人群建立RLPS术后复发的列线图。
纳入2011年8月至2020年12月在复旦大学附属中山医院南院/上海市公共卫生临床中心接受手术切除的患者。将纳入的患者按7:3的比例随机分为训练集和测试集。根据赤池信息准则选择预后因素，基于Cox回归构建列线图，然后通过校准图和一致性指数（C指数）进行内部验证。
共纳入447例患者。使用性别、年龄、临床表现状态、器官侵犯情况和法国国立癌症中心联合会（FNCLCC）分级构建列线图。校准图显示无复发生存期（RFS）预测概率与实际RFS率一致。列线图在训练集的C指数为0.703（95%可信区间0.623 - 0.783），在测试集为0.695（95%可信区间0.565 - 0.825）。
我们建立的列线图能够准确预测亚洲人群RLPS患者的术后复发情况。
