Prediction of cervical lymph node metastasis of thyroid papillary carcinoma by ECI and SWE quantitative parameters
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摘要:
目的 研究超声弹性对比指数(ECI)、剪切波弹性成像(SWE)定量参数预测甲状腺乳头癌颈部淋巴结转移的价值。 方法 选取2018年1月~2021年12月我院收治的甲状腺乳头状癌患者60例,将淋巴结转移者纳入淋巴转移组(n=21),未转移者纳入淋巴未转移组(n=39)。分别对两组患者的超声图像、ECI、SWEmax、SWEmin、SWEmean进行比较, 分析ECI、SWEmax、SWEmin、SWEmean联合检测对甲状腺乳头状瘤患者淋巴转移的预测效能。 结果 两组患者的纵横比、结节数量、边缘、钙化、与被膜的关系、血流信号之间的差异有统计学意义(P < 0.05);淋巴转移组患者的ECI高于淋巴未转移组(P < 0.05),淋巴转移组患者的SWEmax、SWEmin、SWEmean低于对照组(P < 0.05);ECI、SWEmax、SWEmin、SWEmean联合检测对甲状腺乳头状瘤患者淋巴转移的特异性高于单独检测。ROC曲线分析显示,ECI、SWEmax、SWEmin、SWEmean联合检测对甲状腺乳头状瘤患者淋巴转移的曲线下面积高于单独检测,ECI、SWEmax、SWEmin、SWEmean的截断值分别为4.61、30.11 kPa、21.98 kPa、25.55 kPa。 结论 ECI、SWE定量参数对于甲状腺乳头癌颈部淋巴结转移具有显著的预测价值。 Abstract:Objective To analyze the value of elastic contrast index (ECI) and shear wave elastography (SWE) quantitative parameters in predicting cervical lymph node metastasis of thyroid papillary carcinoma. Methods Sixty patients with thyroid papillary carcinoma admitted to our hospital from January 2018 to December 2021 were selected, including 21 patients with lymph node metastasis and 39 patients without lymph node metastasis. The differences of ultrasound images, ECI, SWEmax, SWEmin and SWEmean between the two groups were compared. We analyzed the predictive efficacy of ECI, SWEmax, SWEmin and SWEmean combined detection for lymphatic metastasis in patients with thyroid papilloma. Results There were statistically significant differences in aspect ratio, number of nodules, margin, calcification, relationship with capsule and blood flow signals between the two groups (P < 0.05). ECI in lymphatic metastasis group was significantly higher than that in non-lymphatic metastasis group (P < 0.05). SWEmax, SWEmin and SWEmean in lymphatic metastasis group were significantly lower than those in control group (P < 0.05). The specificity of ECI, SWEmax, SWEmin and SWEmean combined detection for lymphatic metastasis in patients with thyroid papilloma was significantly higher than that of single detection. According to ROC curve analysis, the area under curve of lymphatic metastasis in patients with thyroid papilloma by ECI, SWEmax, SWEmin and SWEmean combined detection were significantly higher than that by single detection. The truncation values of ECI, SWEmax, SWEmin and SWEmean were 4.61, 30.11 kPa, 21.98 kPa and 25.55 kPa, respectively. Conclusion ECI and SWE quantitative parameters have significant predictive value for cervical lymph node metastasis of thyroid papillary carcinoma, suggesting clinical promotion. -
表 1 两组患者一般资料比较
Table 1. General data comparison of two groups(Mean±SD)
组别 性别(男/女, n) 年龄(岁) BMI(kg/m2) 淋巴转移组(n=21) 4/17 45.69±2.47 24.55±5.41 淋巴未转移组(n=39) 7/32 45.81±3.52 24.94±5.33 χ2/t 1.701 0.154 0.268 P 0.193 0.878 0.790 表 2 两组患者的常规超超声指标分析
Table 2. Analysis of conventional ultra-ultrasound indexes of the two groups [n(%)]
指标 淋巴转移组(n =21) 淋巴未转移组(n =39) χ2 P 纵横比 6.971 0.008 < 1 18(47.37) 20(52.63) ≥1 3(13.64) 19(86.36) 结节数量 13.301 < 0.001 单发 6(16.67) 30(83.33) 多发 15(62.50) 9(37.50) 实质背景 0.221 0.896 正常 10(33.33) 20(66.67) 桥本 5(33.33) 10(66.67) 结甲 6(40.00) 9(60.00) 实质回声 0.022 0.988 中等回声 11(35.48) 20(64.52) 低回声 5(33.33) 10(66.67) 极低回声 5(35.71) 9(64.29) 边缘 32.701 < 0.001 规则 19(79.17) 5(20.83) 不规则 2(5.88) 32(94.12) 钙化 27.121 < 0.001 无钙化 10(83.33) 2(16.67) 粗大钙化 2(6.25) 30(93.75) 微小钙化 9(56.25) 7(43.75) 与被膜关系 47.581 < 0.001 未接触 19(95.00) 1(5.00) 接触 2(6.25) 30(93.75) 不连续 0(0.00) 8(100.00) 血流 47.761 < 0.001 I型 20(90.91) 2(9.09) II型 1(3.45) 28(96.55) III型 0(0.00) 9(100.00) 表 3 两组患者的ECI、SWEmax、SWEmin、SWEmean比较
Table 3. Comparison of ECI, SWEmax, SWEmin and SWEmean between the two groups (Mean±SD)
指标 淋巴转移组(n =21) 淋巴未转移组(n =39) t P ECI 4.63±1.48 2.42±0.32 6.758 < 0.001 SWEmax(kPa) 30.02±2.72 35.36±3.23 6.783 < 0.001 SWEmin(kPa) 21.81±3.87 25.08±2.95 3.379 0.001 SWEmean(kPa) 25.77±2.45 28.57±2.66 4.096 < 0.001 ECI: 超声弹性对比指数; SWE: 甲状腺弹性值. 表 4 ECI、SWEmax、SWEmin、SWEmean联合检测对甲状腺乳头状瘤患者淋巴转移的预测效能分析
Table 4. Efficacy analysis of ECI, SWEmax, SWEmin and SWEmean combined detection in predicting lymphatic metastasis in patients with thyroid papilloma
诊断方法 真阳例数(n) 假阳例数(n) 真阴例数(n) 假阴例数(n) 准确率(%) 敏感度(%) 特异性(%) 阳性预测值(%) 阴性预测值(%) ECI 15 11 28 6 71.67 34.88 82.35 71.43 71.79 SWEmax 9 12 27 12 60.00 25.00 69.23 42.86 69.23 SWEmin 19 22 17 2 60.00 52.78 89.47 90.48 43.59 SWEmean 13 32 7 8 33.33 65.00 46.67 61.90 17.95 联合检测 20 29 10 1 50.00 66.67 90.91 95.24 25.64 表 5 ROC曲线分析
Table 5. ROC curve analysis
诊断方法 标准误 曲线下面积 AUC(95% CI) P ECI 0.039 0.775 0.520~0.872 0.017 SWEmax 0.036 0.603 0.600~0.746 < 0.001 SWEmin 0.03 0.692 0.607~0.816 < 0.001 SWEmean 0.027 0.778 0.762~0.869 < 0.001 联合检测 1.027 0.792 0.762~0.870 < 0.001 -
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