Department of Radiation Oncology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Division of Radiation Oncology, Department of Oncology, McMaster University, Hamilton, Ontario.
Int J Radiat Oncol Biol Phys. 2019 Sep 1;105(1):165-173. doi: 10.1016/j.ijrobp.2019.05.002. Epub 2019 May 11.
Regional nodal irradiation for women with breast cancer is known to be an important risk factor for the development of upper extremity lymphedema, but tools to accurately predict lymphedema risks for individual patients are lacking. This study sought to develop and validate a nomogram to predict lymphedema risk after axillary surgery and radiation therapy in women with breast cancer.
Data from 1832 women accrued on the MA.20 trial between March 2000 and February 2007 were used to create a prognostic model with National Cancer Institute Common Toxicity Criteria Version 2.0 grade 2 or higher lymphedema as the primary endpoint. Multivariable logistic regression estimated model performance. External validation was performed on data from a single large academic cancer center (N = 785).
In the MA.20 trial cohort, 3 risk factors were predictive of lymphedema risk: body mass index (adjusted odds ratio, 1.05 per unit body mass index; 95% confidence interval [CI], 1.03-1.08, P < .001), extent of axillary surgery (adjusted odds radio for 8-11 lymph nodes removed, 3.28 [95% CI, 1.53-7.89] P = .004; 12-15 lymph nodes, 4.04 [95% CI, 1.76-10.26] P = .002; ≥16 nodes, 5.08 [95% CI, 2.26-12.70] P < .001), and extent of nodal irradiation (adjusted odds radio for limited, 1.66 [95% CI, 1.08-2.56] P = .02; for extensive, 2.31 [95% CI, 1.28-4.10] P = .004). A nomogram was created from these data that predicted lymphedema risk with reasonable accuracy confirmed by both internal (concordance index, 0.69; 95% CI, 0.64-0.74) and external validation (concordance index, 0.71; 95% CI, 0.66-0.76).
The nomogram created from the MA.20 randomized trial data using clinical information may be useful for lymphedema screening and risk stratification for therapeutic intervention trials.
已知对乳腺癌患者进行区域淋巴结照射是上肢淋巴水肿发生的一个重要危险因素,但缺乏用于准确预测个体患者淋巴水肿风险的工具。本研究旨在开发和验证一个列线图,以预测乳腺癌患者腋窝手术后和放射治疗后的淋巴水肿风险。
本研究纳入了 2000 年 3 月至 2007 年 2 月期间在 MA.20 试验中入组的 1832 名女性患者的数据,以美国国家癌症研究所常见毒性标准 2.0 版(National Cancer Institute Common Toxicity Criteria Version 2.0)分级 2 或更高的淋巴水肿作为主要终点,建立预后模型。多变量逻辑回归估计了模型性能。在一个大型学术癌症中心(N=785)的数据上进行了外部验证。
在 MA.20 试验队列中,有 3 个危险因素可预测淋巴水肿风险:体重指数(每单位体重指数调整后的优势比为 1.05;95%置信区间[CI]为 1.03-1.08,P<0.001)、腋窝手术范围(8-11 个淋巴结切除的调整后优势比为 3.28[95%CI为 1.53-7.89],P=0.004;12-15 个淋巴结的为 4.04[95%CI为 1.76-10.26],P=0.002;≥16 个淋巴结的为 5.08[95%CI为 2.26-12.70],P<0.001)以及淋巴结照射范围(局限性照射的调整后优势比为 1.66[95%CI为 1.08-2.56],P=0.02;广泛性照射的为 2.31[95%CI为 1.28-4.10],P=0.004)。从这些数据中创建了一个列线图,该图具有合理的准确性,内部验证(一致性指数,0.69;95%CI,0.64-0.74)和外部验证(一致性指数,0.71;95%CI,0.66-0.76)均证实了这一点。
使用临床信息从 MA.20 随机试验数据中创建的列线图可能有助于淋巴水肿的筛查和治疗干预试验的风险分层。