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Dual-energy computed tomography could reliably differentiate metastatic from non-metastatic lymph nodes of less than 0.5 cm in patients with papillary thyroid carcinoma

机译:双能计算断层扫描可以在乳头状甲状腺癌患者中可靠地区分从非转移性淋巴结的转移性淋巴结小于0.5厘米

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Background: Dual-energy computed tomography (DECT) has been widely applied to detect lymph node (LN) and lymph node metastasis (LNM) in various cancers, including papillary thyroid carcinoma (PTC). This study aimed to quantitatively evaluate metastatic cervical lymph nodes (LNs) 0.5 cm in patients with PTC using DECT, which has not been done in previous studies. Methods: Preoperative DECT data of patients with pathologically confirmed PTC were retrospectively collected and analyzed between May 2016 and June 2018. A total of 359 LNs from 52 patients were included. Diameter, iodine concentration (IC), normalized iodine concentration (NIC), and the slope of the energy spectrum curve (λ HU ) of LNs in the arterial and the venous phases were compared between metastatic and non-metastatic LNs. The optimal parameters were obtained from the receiver operating characteristic (ROC) curves. The generalized estimation equation (GEE) model was used to evaluate independent diagnostic factors for LNM. Results: A total of 139 metastatic and 220 non-metastatic LNs were analyzed. There were statistical differences of quantitative parameters between the two groups (P value 0.000–0.007). The optimal parameter for diagnosing LNM was IC in the arterial phase, and its area under the curve (AUC), sensitivity, and specificity were 0.775, 71.9%, and 73.6%, respectively. When the three parameters of diameter, IC in the arterial phase, and NIC in the venous phase were combined, the prediction efficiency was better, and the AUC was 0.819. The GEE results showed that LNs located in level VIa [odds ratio (OR) 2.030, 95% confidence interval (CI): 1.134–3.634, P=0.017], VIb (OR 2.836, 95% CI: 1.597–5.038, P=0.000), diameter (OR 2.023, 95% CI: 1.158–3.532, P=0.013), IC in the arterial phase (OR 4.444, 95% CI: 2.808–7.035, P=0.000), and IC in the venous phase (OR 5.387, 95% CI: 3.449–8.413, P=0.000) were independent risk factors for LNM in patients with PTC. Conclusions: DECT had good diagnostic performance in the differentiation of cervical metastatic LNs 0.5 cm in patients with PTC.
机译:背景:双能计算机断层扫描(DECT)已被广泛应用于检测各种癌症中的淋巴结(LN)和淋巴结转移(LNM),包括乳头状甲状腺癌(PTC)。本研究旨在定量评估术中PTC患者的转移性宫颈淋巴结(LNS)&使用DECT,其在先前的研究中尚未进行。方法:2016年5月至2018年5月之间回顾性收集和分析了病理证实PTC患者的术前DECT数据。在转移性和非转移的LNS之间比较了直径,碘化碘浓度(IC),归一化碘浓度(NIC)和LNS中LNS的能谱曲线(λu)的斜率。从接收器操作特征(ROC)曲线获得最佳参数。广义估计方程(GEE)模型用于评估LNM的独立诊断因子。结果:分析了总共139个转移性和220个非转移性LNS。两组之间的定量参数统计学差异(P值0.000-0.007)。用于诊断LNM的最佳参数是动脉阶段中的IC,其曲线(AUC)的区域分别为0.775,71.9%和73.6%。当组合动脉相的直径,IC和NIC中的三个参数时,预测效率更好,AUC为0.819。 GEE结果表明,LNS通过[差距(或)2.030,95%置信区间(CI):1.134-3.634,P = 0.017],VIB(或2.836,95%CI:1.597-5.038,P = 0.000),直径(或2.023,95%CI:1.158-3.532,P = 0.013),动脉期IC(或4.444,95%CI:2.808-7.035,P = 0.000),以及静脉期的IC(或5.387,95%CI:3.449-8.413,p = 0.000)是PTC患者LNM的独立风险因素。结论:DECT在宫颈转移型LNS患者的分化中具有良好的诊断性能,PTC患者患者患者。

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