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Application of CT perfusion imaging to the histological differentiation of adrenal gland tumors

机译:CT灌注成像在肾上腺肿瘤组织学诊断中的应用

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Background: CT perfusion imaging has been used in diagnosis and classification of tumors widely and in assess tumor angiogenesis in some organs. However, there are few reports describing CT perfusion imaging of adrenal gland tumors. Objective: This study aimed to evaluate the application of CT perfusion imaging in analysis of angiogenesis in adrenal tumors and in diagnosis of adrenal tumors. Patients and methods: Forty four patients with adrenal gland tumors (26 with adenomas and 18 with nonadenomas) were enrolled in this study. CT scan of adrenal glands was performed with the perfusion of non-ionic contrast medium Ultravist. The obtained images were processed with deconvolution algorithms-based perfusion software and then perfusion parameter maps and values (blood flow, blood volume, mean transit time, and permeability surface-area production) were generated and analyzed respectively. Results: Univariate multivariate logistic regression indicated that blood volume (OR: 1.261, 95% CI: 1.056, 1.505, P = 0.010) was associated with the likelihood of adrenal adenoma. Receiver operating characteristic analysis showed that the blood volume value of ≥9.325 ml min -1 100 g -1 predicted adrenal adenoma with sensitivity of 76.9% and specificity of 73.2%. In addition, permeability surface-area production in adenoma was higher than in non-adenoma (27.11 ± 15.45 vs. 16.76 ± 14.44 ml min -1 100 g -1, P 0.05). The other parameters had no clear prognostic significance. Conclusions: CT perfusion imaging can quantitatively distinguish adrenal gland tumors with different histological characteristics. Especially, blood volume can be used in differentiating adrenal adenomas from nonadenomas.
机译:背景:CT灌注成像已被广泛用于肿瘤的诊断和分类以及评估某些器官的肿瘤血管生成。但是,很少有报道描述肾上腺肿瘤的CT灌注成像。目的:本研究旨在评价CT灌注成像在肾上腺肿瘤血管生成分析和肾上腺肿瘤诊断中的应用。患者和方法:本研究纳入了44例肾上腺肿瘤患者(26例患有腺瘤,18例患有非腺瘤)。用非离子型造影剂Ultravist灌注进行肾上腺的CT扫描。使用基于解卷积算法的灌注软件处理获得的图像,然后分别生成并分析灌注参数图和值(血流量,血量,平均通过时间和通透性表面积产生)。结果:单因素多因素logistic回归表明,血容量(OR:1.261,95%CI:1.056,1.505,P = 0.010)与肾上腺腺瘤的可能性有关。接受者操作特征分析表明,≥9.325ml min -1 100 g -1的血容量值可预测肾上腺腺瘤,敏感性为76.9%,特异性为73.2%。此外,腺瘤的通透性表面积产生要高于非腺瘤(27.11±15.45 vs. 16.76±14.44 ml min -1 100 g -1,P <0.05)。其他参数没有明确的预后意义。结论:CT灌注成像可以定量区分具有不同组织学特征的肾上腺肿瘤。特别地,血容量可用于区分肾上腺腺瘤和非腺瘤。

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