解敬慧,郜暋莹,陈暋博,付涧兰,张延军.非小细胞肺癌原发灶18F-FDG PET/CT特征预测淋巴结转移[J].中国医学影像技术,2014,30(5):719~723 |
非小细胞肺癌原发灶18F-FDG PET/CT特征预测淋巴结转移 |
18F-FDG PET/CT features of primary lesion of non-small cell lung carcinoma in prediction lymph node metastasis |
投稿时间:2013-10-22 修订日期:2014-02-26 |
DOI: |
中文关键词: 癌,非小细胞肺 淋巴转移 体层摄影术,发射型计算机 氟脱氧葡萄糖F18 |
英文关键词:Carcinoma, non-small-cell lung Lymphatic metastasis Tomography, emission-computed Fluorodeoxyglucose F18 |
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中文摘要: |
目的 评价根据非小细胞肺癌(NSCLC)原发灶18F-FDGPET/CT特征预测淋巴结转移的价值。方法 收集91例接受18F-FDGPET/CT检查的NSCLC患者,共96个原发灶,根据病理结果分为不伴淋巴结转移即LN(-)组(n=66)及伴淋巴结转移即LN(+)组(n=30),比较两组原发灶大小、肿瘤消失率(TDR)、最大标准摄取值(SUVmax)和肿瘤代谢体积(MTV)差异,采用多因素二元Logistic回归模型筛选上述指标中预测淋巴结转移的相关因素。结果 LN(-)组和LN(+)组原发灶大小、TDR、SUVmax、MTV差异均有统计学意义(P均<0.05),随原发灶、SUVmax及MTV增大和TDR降低,淋巴结转移比例增高。多因素二元Logistic逐步法回归分析结果表明TDR及MTV应纳入回归方程。结论 NSCLC原发灶18F-FDGPET/CT表现特征对淋巴结转移具有预测价值,其中TDR及MTV是主要预测因素。 |
英文摘要: |
Objective To evaluate the value of 18F-FDG PET/CT features of primary lesion in predicting lymph node metastasis in non-small cell lung carcinoma (NSCLC). Methods Ninety-one patients (96 lung lesions) with NSCLC underwent 18F-FDG PET/CT scanning were enrolled. According to the pathology results, the 96 lesions were divided into LN(-) group (n=66) without lymph node metastasis and LN(+) group (n=30) with lymph node metastasis. The tumor size, tumor disappearance rate (TDR), SUVmax and metabolic tumor volume (MTV) of the primary lung lesion were compared between the two groups. The multi-variate binary Logistic regression was performed to select main relevant factors in prediction of lymph node metastasis. Results The tumor size, TDR, SUVmax and MTV of primary lung lesion showed significant differences between the two groups (all P<0.05). With the rising of tumor size, SUVmax, MTV and reducing of TDR, the incidence of lymph node metastasis increased. TDR and MTV were incorporated into the regression equation by multi-variate binary Logistic regression analysis. Conclusion Primary lesions features of NSCLC in 18F-FDG PET/CT scanning have predictive value for lymph node metastasis, in which TDR and MTV are main predictive factors. |
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