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北京大学学报（医学版） ›› 2020, Vol. 52 ›› Issue (4): 730-737. doi: 10.19723/j.issn.1671-167X.2020.04.026

• 论著 • 上一篇    下一篇

能谱CT诊断非小细胞肺癌纵隔淋巴结转移的应用价值

朱巧,任翠,张艳,李美娇,王晓华()   

  1. 北京大学第三医院放射科,北京 100191
  • 收稿日期:2019-12-19 出版日期:2020-08-18 发布日期:2020-08-06
  • 通讯作者: 王晓华 E-mail:medwxh@126.com
  • 基金资助:
    国家自然科学基金(81871326)

Comparative imaging study of mediastinal lymph node from pre-surgery dual energy CT versus post-surgeron verifications in non-small cell lung cancer patients

Qiao ZHU,Cui REN,Yan ZHANG,Mei-jiao LI,Xiao-hua WANG()   

  1. Department of Radiology, Peking University Third Hospital, Beijing 100191, China
  • Received:2019-12-19 Online:2020-08-18 Published:2020-08-06
  • Contact: Xiao-hua WANG E-mail:medwxh@126.com
  • Supported by:
    National Natural Foundation of China(81871326)

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摘要：

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。

关键词: 非小细胞肺癌, 淋巴结转移, 体层摄影术, X射线计算机

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). Conclusion: 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.

Key words: Non-small cell lung cancer, Lymph node metastasis, Tomography, X-ray computed

中图分类号: 

  • R734.2

图1

患者女性,63岁,右肺下叶腺癌,T2bN2M0,纵隔4R区转移淋巴结"

图2

患者男性,71岁,右肺上叶腺癌,T1N0M0,纵隔4R区非转移淋巴结"

表1

转移与非转移淋巴结在纵隔各区的分布情况"

Group 2R 2L 3A 3P 4R 4L 5 6 7 8R 8L 9R 9L 10R 10L
Metastatic (n=49) 2 1 2 2 4 1 4 2 15 1 1 2 3 5 4
Non-metastatic (n=114) 1 0 0 1 14 19 8 7 28 4 0 5 1 15 11
Total 3 1 2 3 18 20 12 9 43 5 1 7 4 20 15

表2

形态学参数与能谱参数测量同一观察者、不同观察者一致性评价"

Items Doctor A Doctor A and B
ICC 95%CI ICC 95%CI
S 0.872 0.566-0.947 0.849 0.743-0.912
L 0.891 0.643-0.954 0.932 0.873-0.963
Arterial phase
IC 0.930 0.303-0.980 0.897 0.818-0.942
NIC 0.880 0.798-0.930 0.853 0.730-0.919
λHU 0.891 0.690-0.952 0.839 0.614-0.923
Zeff 0.949 0.723-0.982 0.920 0.864-0.954
Venous phase
IC 0.833 0.484-0.929 0.901 0.420-0.967
NIC 0.891 0.690-0.952 0.839 0.614-0.923
λHU 0.903 0.335-0.970 0.812 0.340-0.927
Zeff 0.869 0.150-0.960 0.927 0.874-0.958

表3

非小细胞肺癌纵隔转移与非转移淋巴结形态学特征比较 (x?±s)"

Group L/mm S/mm S/L
Metastatic (n=49) 13.10±2.99 9.90±2.55 0.76±0.09
Non-metastatic (n=114) 11.38±2.91 7.72±1.96 0.69±0.08
t 3.432 5.899 5.075
P 0.001 <0.001 <0.001

表4

非小细胞肺癌纵隔转移与非转移淋巴结能谱CT参数比较($\bar{x}±s$)"

Characteristic Metastatic (n=49) Non-metastatic (n=114) t P
Arterial phase
IC/(100 μg/cm3) 22.14±5.11 24.94±3.79 -3.448 <0.001
NIC 0.25±0.04 0.36±0.09 -10.300 <0.001
λHU 2.13±0.21 2.33±0.23 -5.194 <0.001
Zeff 8.07±0.46 8.34±0.51 -3.213 0.002
Venous phase
IC/(100 μg/cm3) 27.24±5.68 30.26±5.60 -3.139 0.002
NIC 0.43±0.07 0.60±0.14 -10.875 <0.001
λHU 2.46±0.31 2.84±0.29 -7.405 <0.001
Zeff 8.25±0.37 8.55±0.45 -4.052 <0.001

表5

形态学参数与能谱参数鉴别NSCLC纵隔淋巴结转移的ROC曲线分析结果"

Items AUC Sensitivity/% Specivicity/% Positive predictive
value/%		 Negative predictive
value/%		 Accuracy/%
Parameter threshold
S 8.50 0.752(0.672-0.832) 67.4(52.5-80.1) 73.7(64.6-81.5) 52.4(43.3-61.3) 84.0(77.6-88.8) 71.8(64.2 -78.5)
L 10.94 0.654(0.564-0.745) 79.6(65.7-89.8) 50.0(40.5-59.5) 40.6(35.2-46.3) 85.1(76.1-91.1) 58.9(50.9 -66.5)
S/L 0.76 0.734(0.644-0.825) 57.1(42.2-71.2) 84.2(76.2-90.4) 60.9(48.8-71.7) 82.1(76.6-86.4) 76.1(68.8-82.4)
Arterial phase
IC 22.23 0.660(0.561-0.759) 61.2(46.2-74.8) 70.2(60.9-78.4) 46.9(38.1-55.8) 80.8(74.4-85.9) 67.5(59.7-74.6)
NIC 0.31 0.850(0.793-0.908) 91.8(80.4-97.7) 69.3(60.0-77.6) 56.3(49.1-63.2) 95.2(88.5-98.1) 76.1(68.8-82.4)
λHU 2.11 0.754(0.674-0.834) 57.1(42.2-71.2) 84.2(76.2-90.4) 60.9(48.8-71.7) 82.1(76.6-86.4) 76.1(68.8-82.4)
Zeff 8.34 0.657(0.569-0.744) 73.5(58.9-85.1) 56.1(46.5-65.4) 41.9(35.5-48.5) 83.1(75.0-89.0) 61.4(53.4-68.9)
Venous phase
IC 25.56 0.643(0.544-0.742) 44.9(30.7-59.8) 83.3(75.2-89.7) 53.7(40.9-66.0) 77.9(73.0-82.1) 71.8(64.2-78.5)
NIC 0.53 0.861(0.806-0.915) 95.9(86.0-99.5) 70.2(60.9-78.4) 58.0(50.9-64.8) 97.6(91.1- 99.4) 77.9(70.8-84.0)
λHU 2.72 0.807(0.736-0.878) 81.6(68.0-91.2) 66.7(57.2-75.2) 51.3(44.0-58.5) 89.4(82.2-93.9) 71.2(63.6-78.0)
Zeff 8.74 0.701(0.624-0.779) 89.8(77.8-96.6) 52.6(43.1-62.1) 44.9(39.6-50.3) 92.3(83.7-96.6) 63.8(55.9-71.2)
LogitP 0.56 0.895(0.846-0.943) 79.6(65.7-89.8) 87.7(80.3-93.1) 73.6(62.6-82.3) 90.9(85.1- 94.6) 85.3(78.9-90.3)

图3

S、静脉期NIC与联合变量LogitP鉴别NSCLC纵隔转移与非转移淋巴结的ROC曲线"

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