首页|血液炎症指标与cN0期甲状腺乳头状癌颈部淋巴结转移的关系

血液炎症指标与cN0期甲状腺乳头状癌颈部淋巴结转移的关系

扫码查看
目的 分析术前血液炎症指标与cN0期甲状腺乳头状癌(PTC)患者颈部淋巴结转移的关系,探讨临床特征与血液炎症指标对cN0期PTC患者颈部淋巴结转移的预测价值.方法 将418例术前影像学检查为cN0期的PTC患者根据术后病理分为无淋巴结转移组和淋巴结转移组,比较两组患者的临床特征和血液炎症指标,采用Logistic回归模型分析cN0期PTC患者颈部淋巴结转移的危险因素并建立预测模型.采用受试者工作特征(ROC)曲线分析术前血液炎症指标对cN0期PTC患者颈部淋巴结转移的预测价值,并分析血液炎症指标与cN0期PTC患者肿瘤病理特征之间的关系.结果 无淋巴结转移组与淋巴结转移组患者性别、年龄、肿瘤直径、白细胞计数、中性粒细胞计数、单核细胞计数、中性粒细胞与淋巴细胞比值(NLR)、系统性免疫炎症指数(SⅡ)和全身炎症反应指数(SIRI)比较,差异均有统计学意义(P<0.05).多因素分析显示,年龄、肿瘤直径、SⅡ均是cN0期PTC患者颈部淋巴结转移的独立影响因素(P<0.05).以上述影响因素为基础建立的预测模型预测cN0期PTC患者颈部淋巴结转移的曲线下面积(AUC)=0.743,95%CI:0.686-0.799,P<0.01,最佳截断值为0.197时,灵敏度为0.755,特异度为0.648.NLR、SIRI、SⅡ预测cN0期PTC患者颈部淋巴结转移的AUC分别为0.644、0.660、0.670,最佳截断值分别为1.605、0.815、419.405,对应的灵敏度分别为63.8%、51.1%、59.6%,特异度分别为57.7%、75.6%、68.2%.低NLR组与高NLR组患者肿瘤直径比较,差异有统计学意义(P<0.05);低SIRI组与高SIRI组患者肿瘤直径、T分期、腺外侵犯情况比较,差异均有统计学意义(P<0.05).结论 术前血液炎症指标与cN0期PTC患者颈部淋巴结转移有关,根据年龄、肿瘤直径、SII建立的预测模型能够一定程度上为评估影像学检查阴性的PTC患者的颈部淋巴结转移状态提供参考.
Relationship between blood inflammatory indicators and cervical lymph node metastasis in cN0 stage papillary thyroid carcinoma
Objective To analyze the relationship between preoperative blood inflammatory indicators and cervical lymph node metastasis in patients with cN0 stage papillary thyroid carcinoma(PTC),and to explore the predictive value of clinical characteristics and blood inflammatory indicators for cervical lymph node metastasis in patients with cN0 stage PTC.Method A total of 418 cN0 stage PTC patients diagnosed by preoperative imaging examination were divided into lymph node without metastasis group and lymph node metastasis group according to postoperative pathology.The clinical characteristics and blood inflammatory indicators of the two groups were compared.The risk factors of cervical lymph node metastasis in cN0 stage PTC patients were analyzed by Logistic regression model and a prediction model was estab-lished.The receiver operating characteristic(ROC)curve was used to analyze the predictive value of preoperative blood inflammatory indicators for cervical lymph node metastasis in cN0 stage PTC patients,and the relationship between blood inflammatory indicators and tumor pathological characteristics of cN0 stage PTC patients was analyzed.Result The gen-der,age,tumor diameter,white blood cell count,neutrophil count,monocyte count,neutrophil to lymphocyte ratio(NLR),systemic immune inflammation index(SⅡ)and systemic inflammatory response index(SIRI)were compared be-tween the lymph node without metastasis group and lymph node metastasis group,the differences were statistically signif-icant(P<0.05).Multivariate analysis showed that age,tumor diameter and SⅡ were independent influencing factors for cervical lymph node metastasis in cN0 stage PTC patients(P<0.05).The area under the curve(AUC)of the prediction model established based on the above influencing factors for predicting cervical lymph node metastasis in cN0 stage PTC patients was 0.743,95%CI:0.686-0.799,P<0.01.When the cut-off value was 0.197,the sensitivity was 0.755,and the specificity was 0.648.The AUC of NLR,SIRI and SⅡ in predicting cervical lymph node metastasis in cN0 stage PTC patients were 0.644,0.660 and 0.670,respectively,the cut-off values were 1.605,0.815 and 419.405,respectively,and the corresponding sensitivities were 63.8%,51.1%and 59.6%,respectively,the specificities were 57.7%,75.6%and 68.2%,respectively.Tumor diameter was compared between the low NLR group and the high NLR group,the difference was sta-tistically significant(P<0.05);tumor diameter,T stage and extra thyroidal extension were compared between the low SIRI group and the high SIRI group,the differences were statistically significant(P<0.05).Conclusion Preoperative blood inflammatory indicators are associated with cervical lymph node metastasis in cN0 stage PTC patients.The predic-tion model based on age,tumor diameter and SⅡ can provide a reference for evaluating cervical lymph node metastasis in PTC patients with negative imaging findings.

papillary thyroid carcinomasystemic immune inflammation indexcervical lymph node metastasispre-diction model

肖雨、齐洪志、努尔比耶·米吉提、李玉莹

展开 >

新疆医科大学第一附属医院肿瘤科,乌鲁木齐 830000

甲状腺乳头状癌 系统性免疫炎症指数 颈部淋巴结转移 预测模型

国家自然科学基金

81860360

2024

癌症进展
中国医学科学院,北京协和医学院

癌症进展

影响因子:1.004
ISSN:1672-1535
年,卷(期):2024.22(3)