Qu Wanxi, Qin Zhaohui, Cui Li, Yuan Shiwang, Yao Nan, Ma Ji, Lu Jiaying, Wang Jiang, Wang Minhan, Yao Yuanhu
Graduate School of Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Research Center for Medical and Health Emergency Rescue, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Eur Arch Otorhinolaryngol. 2024 Jun;281(6):3071-3082. doi: 10.1007/s00405-024-08608-x. Epub 2024 Apr 7.
To establish two nomograms to quantify the risk of lung metastasis (LM) in laryngeal carcinoma (LC) and predict the overall survival of LC patients with LM.
Totally 9515 LC patients diagnosed histologically from 2000 to 2019 were collected from the Surveillance, Epidemiology, and End Results database. The independent diagnostic factors for LM in LC patients and prognostic factors for LC patients with LM were identified by logistic and Cox regression analysis, respectively. Nomograms were established based on regression coefficients and evaluated by receiver operating characteristic curve, calibration curves, and decision curve analysis.
Patients with supraglottis, higher pathological grade, higher N stage, and distant metastasis (bone, brain, or liver) were more likely to have LM (P < 0.05). Chemotherapy, surgery and radiotherapy were independent factors of the overall survival of LC patients with LM (P < 0.05). The area under curve of diagnostic nomogram were 0.834 and 0.816 in the training and validation cohort respectively. For the prognostic nomogram, the area under curves of 1-, 2-, and 3-years were 0.735, 0.734, and 0.709 in the training cohort and 0.705, 0.803, and 0.809 in the validation cohort. The calibration curves and decision curve analysis indicated good performance of the nomograms.
Distant metastasis (bone, brain, or liver) and N stage should be considered for prediction of LM in LC patients. Chemotherapy is the most significant influencing prognostic factor improving the survival of LC patients with LM. Two nomograms may benefit for providing better precautionary measures and treatment decision.
建立两个列线图,以量化喉癌(LC)患者发生肺转移(LM)的风险,并预测发生LM的LC患者的总生存期。
从监测、流行病学和最终结果数据库中收集了2000年至2019年经组织学诊断的9515例LC患者。分别通过逻辑回归和Cox回归分析确定LC患者发生LM的独立诊断因素以及发生LM的LC患者的预后因素。基于回归系数建立列线图,并通过受试者工作特征曲线、校准曲线和决策曲线分析进行评估。
声门上型、病理分级较高、N分期较高以及有远处转移(骨、脑或肝)的患者更易发生LM(P<0.05)。化疗、手术和放疗是发生LM的LC患者总生存期的独立因素(P<0.05)。诊断列线图在训练队列和验证队列中的曲线下面积分别为0.834和0.816。对于预后列线图,训练队列中1年、2年和3年的曲线下面积分别为0.735、0.734和0.709,验证队列中分别为0.705、0.803和0.809。校准曲线和决策曲线分析表明列线图性能良好。
预测LC患者发生LM时应考虑远处转移(骨、脑或肝)和N分期。化疗是改善发生LM的LC患者生存的最显著影响预后因素。两个列线图可能有助于提供更好的预防措施和治疗决策。