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Diagnostic value of single-source dual-energy spectral computed tomography in differentiating parotid gland tumors: initial results

机译:单源双能谱计算机断层扫描在鉴别腮腺肿瘤中的诊断价值:初步结果

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Background: An accurate preoperative diagnosis that helps distinguish between benign and malignant parotid gland tumors is very important because the results strongly affect surgical procedures. We aimed to evaluate the value of single-source dual-energy computed tomography (ssDECT) in differentiating malignant from benign parotid gland tumors. Methods: Fifty patients underwent enhanced neck ssDECT scanning before surgery. The images were analyzed using the gemstone spectral imaging (GSI) viewer software. Results: Fifty-two tumors (43 patients) were con?rmed histopathologically, comprising of 12 pleomorphic adenomas (PAs), 24 Warthin tumors (WTs) (15 patients), and 16 malignant tumors (MTs). The iodine concentration (IC), normalized iodine concentration to common carotid artery (NIC A ) and slope value of the spectral curve (λ HU ) of the WTs were signi?cantly higher than those of MTs and PAs (all P A and λ HU thresholds for differentiating PAs from MTs were 0.91 mg/mL, 0.15 and 1.09, respectively, achieving sensitivities of 91.7%, 91.7% and 91.7%, speci?cities of 95.0%, 85.0% and 95.0%, and accuracies of 94.2%, 86.5% and 94.2%, respectively for distinguishing PAs from MTs. The optimal IC, NIC A and λ HU thresholds for distinguishing WTs from MTs were 1.46 mg/mL, 0.20 and 1.72, achieving sensitivities of 91.7%, 95.8% and 91.7%, and speci?cities of 89.3%, 85.7% and 89.3%, respectively. The accuracy was 90.4%, 90.4% and 90.4%, respectively. Conclusions: The parameters of ssDECT in enhanced CT scans are useful in the differential diagnosis of parotid tumors.
机译:背景:有助于区分良性和恶性腮腺肿瘤的准确的术前诊断非常重要,因为结果会严重影响手术程序。我们旨在评估单源双能计算机断层扫描(ssDECT)在区分腮腺和良性腮腺肿瘤中的价值。方法:50例患者在手术前接受了增强的颈部ssDECT扫描。使用宝石光谱成像(GSI)查看器软件分析图像。结果:52例肿瘤(43例)经组织病理学证实,包括12例多形性腺瘤(PAs),24例Warthin肿瘤(WTs)(15例患者)和16例恶性肿瘤(MTs)。 WTs的碘浓度(IC),归一化至颈总动脉的碘浓度(NIC A)和光谱曲线的斜率值(λHU)明显高于MTs和PAs(所有PA和λHU阈值)区分PA与MTs的分别为0.91 mg / mL,0.15和1.09,灵敏度为91.7%,91.7%和91.7%,比值为95.0%,85.0%和95.0%,准确度为94.2%,86.5%区分PA和MT的灵敏度分别为94.2%和9.46 mg / mL,0.20和1.72 mg / mL,灵敏度分别为91.7%,95.8%和91.7%。结论:ssDECT在增强CT扫描中的参数可用于腮腺肿瘤的鉴别诊断,其准确率分别为89.3%,85.7%和89.3%,准确度分别为90.4%,90.4%和90.4%。

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