These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: [Comparative imaging study of mediastinal lymph node from pre-surgery dual energy CT versus post-surgeron verifications in non-small cell lung cancer patients].
    Author: Zhu Q, Ren C, Zhang Y, Li MJ, Wang XH.
    Journal: Beijing Da Xue Xue Bao Yi Xue Ban; 2020 Aug 18; 52(4):730-737. PubMed ID: 32773811.
    Abstract:
    OBJECTIVE: To validate the value of dual energy CT (DECT) in the differentiation of mediastinal metastatic lymph nodes from non-metastatic lymph nodes in non-small cell lung cancer (NSCLC). METHODS: In the study, 57 surgically confirmed NSCLC patients who underwent enhanced DECT scan within 2 weeks before operation were enrolled. Two radiologists analyzed the CT images before operation. All mediastinal lymph nodes with short diameter≥5 mm on axial images were included in this study. The morphological parameters [long-axis diameter (L), short-axis diameter (S) and S/L of lymph nodes] and the DECT parameters [iodine concentration (IC), normalized iodine concentration (NIC), slope of spectral hounsfield unit curve (λHU) and effective atomic number (Zeff) in arterial and venous phase] were measured. The differences of morphological parameters and DECT parameters between metastatic and non-metastatic lymph nodes were compared. The parameters with significant difference were analyzed by the Logistic regression model, then a new predictive variable was established. Receiver operator characteristic (ROC) analyses were performed for S, NIC in venous phase and the new predictive variable. RESULTS: In 57 patients, 49 metastatic lymph nodes and 938 non-metastatic lymph nodes were confirmed by surgical pathology. A total of 163 mediastinal lymph nodes (49 metastatic, 114 non-metastatic) with S≥5 mm were detected on axial CT images. The S, L and S/L of metastatic lymph nodes were significantly higher than those of non-metastatic lymph nodes (P < 0.05). The DECT parameters of metastatic lymph nodes were significantly lower than those of non-metastatic lymph nodes (P < 0.05). The best single morphological parameter for differentiation between metastatic and nonmetastatic lymph nodes was S (AUC, 0.752; threshold, 8.5 mm; sensitivity, 67.4%; specificity, 73.7%; accuracy, 71.8%). The best single DECT parameter for differentiation between metastatic and nonmetastatic lymph nodes was NIC in venous phase (AUC, 0.861; threshold, 0.53; sensitivity, 95.9%; specificity, 70.2%; accuracy, 77.9%). Multivariate analysis showed that S and NIC were independent predictors of lymph node metastasis. The AUC of combined S and NIC in the venous phase was 0.895(sensitivity, 79.6%; specificity, 87.7%; accuracy, 85.3%), which were significantly higher than that of S (P < 0.001) and NIC (P=0.037). CONCLUSIONS: The ability of quantitative DECT parameters to distinguish mediastinal lymph node metastasis in NSCLC patients is better than that of morphological parameters. Combined S and NIC in venous phase can be used to improve preoperative diagnostic accuracy of metastatic lymph nodes. 目的: 探讨能谱CT (dual energy CT, DECT)诊断非小细胞肺癌(non-small cell lung cancer, NSCLC)纵隔淋巴结转移的应用价值。 方法: 选择2018年4月至2019年10月在北京大学第三医院接受胸部DECT检查且经术后病理诊断证实的NSCLC患者病例资料进行回顾性分析,共收集到病例57例,两名放射科医师共同分析患者术前CT图像,将轴位图像上所有短径(short-axis diameter, S)≥5 mm的纵隔淋巴结纳入本研究。测量淋巴结形态学参数长径(long-axis diameter, L)、S、短径与长径比值(ratio of short-axis diameter to long-axis diameter, S/L)以及能谱参数动脉期及静脉期碘浓度(iodine concentration, IC)、标准化碘浓度(normalized iodine concentration, NIC)、能谱曲线斜率及有效原子序数。比较转移与非转移淋巴结形态学指标及其能谱参数的差异,将有统计学差异的参数纳入Logistic回归方程筛选出有诊断价值的参数,并生成诊断淋巴结转移的联合变量,对淋巴结S、静脉期NIC及联合变量进行受试者工作特征(receiver operating characteristic, ROC)曲线分析。 结果: 57例患者中,术后病理诊断证实转移淋巴结49枚,非转移淋巴结938枚。CT轴位上共检出S≥5 mm纵隔淋巴结163枚(转移淋巴结49枚,非转移淋巴结114枚)。转移淋巴结的S、L及S/L均显著大于非转移淋巴结(P<0.05),转移淋巴结的能谱参数均显著低于非转移性淋巴结(P<0.05)。S是诊断淋巴结转移的最佳单一形态学指标,ROC曲线下面积(area under curve, AUC)为0.752,阈值8.5 mm,灵敏度67.4%,特异度73.7%,准确率71.8%。静脉期NIC为最佳单一能谱参数,AUC为0.861,阈值0.53,灵敏度95.9%,特异度70.2%,准确率77.9%。多因素分析显示S、静脉期NIC是转移淋巴结的独立预测因子。联合S、静脉期NIC诊断淋巴结转移的AUC为0.895,灵敏度79.6%,特异度87.7%,准确率85.3%,明显高于S (P<0.001)、静脉期NIC (P=0.037)。 结论: DECT定量参数鉴别NSCLC患者纵隔淋巴结转移的价值优于形态学参数,联合S和静脉期NIC可提高术前诊断淋巴结转移的准确率。
    [Abstract] [Full Text] [Related] [New Search]