220例鼻咽癌颈部淋巴结良恶性鉴别的Logistic回归分析  

The Logistic Regression Analysis of Differential Diagnosis of Benign and Malignant Cervical Lymph Nodes in 220 Cases with Nasopharyngeal Carcinoma

作　　者：汪丽菁[1] 钱超文[1] 陈俊英[1] 陈丽羽[1] 徐栋[1] 

机构地区：[1]浙江省肿瘤医院,浙江杭州310022

出　　处：《肿瘤学杂志》2015年第3期185-189,共5页Journal of Chinese Oncology

摘　　要：[目的]运用Logistic回归分析筛选鉴别颈部转移性淋巴结的敏感性声像图特征,以提高超声诊断鼻咽癌颈部淋巴结转移的准确率。[方法]收集220例鼻咽癌初诊病例,对随机选取的经细针穿刺细胞学检查的405枚淋巴结进行二分类Logistic回归分析,筛选对鉴别鼻咽癌颈部转移性淋巴结有诊断意义的指标。[结果]405枚淋巴结中有303枚显示为转移性淋巴结(占穿刺淋巴结74.8%)。通过Logistic回归分析,筛选出最大长径、最小横径、短/长径比及血流阻力指数4个对颈部淋巴结良恶性鉴别诊断有统计学意义的特征变量。[结论]以超声特征表现诊断鼻咽癌颈部转移性淋巴结的Logistic回归模型有助于鼻咽癌颈部淋巴结的良恶性鉴别。[Purpose]To perform a Logistic regression analysis to evaluate the predictive value of ultrasonic features of cervical lymph nodes in patients with nasopharyngeal carcinoma（NPC）, so as to improve the accuracy of differential diagnosis of benign and malignant lymph nodes in nasopharyngeal carcinoma patients. [Methods] Fine needle aspiration was performed to 405 lymph nodes in 220 initially diagnosed NPC patients. Logistic regression analysis was used to identify ultrasonic features with high diagnostic value. [Results] A total of 303 positive lymph nodes （74.8%, 303/405） were found. The maximum long axis, the minimum short axis, short to long axis ratio, and resistive index as determined by color flow Doppler were identified as significant predictor variables for differentiating between benign and malignant cervical lymph nodes. [Conclusion ] Our Logistic regression model of ultrasound-detectable features may be useful on differential diagnois for cervical lymph nodes in NPC patients.

关 键 词：鼻咽肿瘤 淋巴结 超声检查 LOGISTIC回归模型 

分 类 号：R739.63[医药卫生—肿瘤]