评估双能量CT（DECT）定量参数在鉴别腮腺肿瘤（PGTs）方面的诊断性能。共招募了101名患有108例病理证实的PGTs的患者，并将其分为四组：恶性混合瘤（PAs），华氏腺瘤（WTs），其他良性肿瘤（OBTs）和恶性肿瘤（MTs）。获取并比较了常规CT衰减和DECT定量参数，包括碘浓度（IC），归一化碘浓度（NIC），有效原子序数（Zeff），电子密度（Rho），双能指数（DEI）和谱Hounsfield单位曲线的斜率（λHU），在良性肿瘤（BTs）和MTs之间进行比较，并进一步在四个亚组之间进行比较。采用逻辑回归分析评估独立参数，采用接受者操作特征（ROC）曲线分析诊断性能。与BTs相比，MTs在动脉期（AP）和静脉期（VP）的衰减、Zeff、DEI、IC、NIC和λHU均较高（p < 0.001-0.047）。 VP中的λHU和AP中的Zeff是独立的预测因素，组合后AUC为0.84。此外，MTs在AP和VP中的衰减、Zeff、DEI、IC、NIC和λHU均高于PAs（p < 0.001-0.047）。 AP中的Zeff和NIC以及VP中的λHU是独立的预测因素，组合后AUC为0.93。 PAs的无对比剂相位的衰减和Rho； PAs的AP中的衰减、Rho、Zeff、DEI、IC、NIC和λHU；以及PAs的VP中的Rho均低于WTs（p < 0.001-0.03）。无对比剂相位的Rho和AP中的衰减是独立的预测因素，组合后AUC为0.89。 与WTs相比，MTs在VP中的Zeff、DEI、IC、NIC和λHU较高，无对比剂相位的Rho较低（p <0.001-0.04），但没有发现独立的预测因素。 DECT定量参数有助于鉴别PGTs。 版权所有2023 The Association of University Radiologists，由Elsevier Inc.出版。保留所有权利。

To assess the diagnostic performance of quantitative parameters from dual-energy CT (DECT) in differentiating parotid gland tumors (PGTs).101 patients with 108 pathologically proved PGTs were enrolled and classified into four groups: pleomorphic adenomas (PAs), warthin tumors (WTs), other benign tumors (OBTs), and malignant tumors (MTs). Conventional CT attenuation and DECT quantitative parameters, including iodine concentration (IC), normalized iodine concentration (NIC), effective atomic number (Zeff), electron density (Rho), double energy index (DEI), and the slope of the spectral Hounsfield unit curve (λHU), were obtained and compared between benign tumors (BTs) and MTs, and further compared among the four subgroups. Logistic regression analysis was used to assess the independent parameters and the receiver operating characteristic (ROC) curves were used to analyze the diagnostic performance.Attenuation, Zeff, DEI, IC, NIC, and λHU in the arterial phase (AP) and venous phase (VP) were higher in MTs than in BTs (p < 0.001-0.047). λHU in VP and Zeff in AP were independent predictors with an area under the curve (AUC) of 0.84 after the combination. Furthermore, attenuation, Zeff, DEI, IC, NIC, and λHU in the AP and VP of MTs were higher than those of PAs (p < 0.001-0.047). Zeff and NIC in AP and λHU in VP were independent predictors with an AUC of 0.93 after the combination. Attenuation and Rho in the precontrast phase; attenuation, Rho, Zeff, DEI, IC, NIC, and λHU in AP; and the Rho in the VP of PAs were lower than those of WTs (p < 0.001-0.03). Rho in the precontrast phase and attenuation in AP were independent predictors with an AUC of 0.89 after the combination. MTs demonstrated higher Zeff, DEI, IC, NIC, and λHU in VP and lower Rho in the precontrast phase compared with WTs (p < 0.001-0.04); but no independent predictors were found.DECT quantitative parameters can help to differentiate PGTs.Copyright © 2023 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.