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A Novel Approach to the Differentiation of Intrabulbar Tumors in Color Doppler Imaging

机译:一种新的多普勒成像中菊杆杆肿瘤分化的一种新方法

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Aim of the study: The similarity of many benign intrabulbar lesions to a malignant tumor requires detailed differential diagnostics. However, none of the known methods can be used as the only one to determine the type of lesions. The aim of this study was to determine color Doppler imaging (CDI) markers characteristic of choroidal melanoma and metastatic intrabulbar tumors, increasing the diagnostic value and giving a new insight into the use of this method.Materials and methods: CDI was performed in 44 patients with malignant tumors and in 49 patients with benign tumors. Patients with malignant tumors were divided into melanomas (n = 28) and metastatic tumors (n = 16). Univariate analysis with the logistic regression method and multivariate stepwise logistic regression analysis to create models testing tumor malignancy and differentiating melanoma from metastatic lesions were used. Model sensitivity and specificity were evaluated by the receiver-operating characteristic curve. A K-fold validation was performed.Results: Arterial blood flow, regular tumor surface, and tumor location in peripheral choroid were found significant for tumor malignancy. Mixed blood flow increased the accuracy of the test (p > 0.05). Model sensitivity and specificity were 83.7% and 75.7%. A regular tumor surface and hypoechoic or isoechoic tumor mass differentiated melanoma and metastatic masses in the regression model, with a sensitivity of 85.2% and a specificity of 75.0%. The area under curve (AUC) for both the models was 0.851 SE (standard error) 0.041 and 0.853 SE 0.063, respectively. AUC in five-fold cross-validation was 0.80 SE 0.0477 and 0.743 SE 0.094, respectively.Conclusions: Arterial or mixed blood flow, regular tumor surface, and tumor location in peripheral choroid may be characteristic of malignant tumors. Regular tumor surface and echogenicity of tumor mass could differentiate melanoma from metastatic tumor.
机译:该研究的目的:许多良性颈杆菌病变对恶性肿瘤的相似性需要详细的鉴别诊断。但是,没有任何已知方法可以用作确定病变类型的唯一一个。本研究的目的是测定脉络膜瘤和转移性型材瘤的彩色多普勒成像(CDI)标记特征,增加诊断价值并对这种方法进行了新的洞察。材料和方法:CDI在44名患者中进行恶性肿瘤和49例良性肿瘤患者。恶性肿瘤患者分为黑色素(n = 28)和转移性肿瘤(n = 16)。利用逻辑回归方法和多变量分析,多变量逐步逻辑回归分析,以创造测试肿瘤恶性肿瘤和区分黑素瘤免受转移性病变的模型。通过接收器操作特性曲线评估模型敏感性和特异性。对肿瘤恶性肿瘤产生显着的肿瘤恶性肿瘤中的动脉血流量,常规肿瘤表面和肿瘤位置的动脉血流量,常规肿瘤表面和肿瘤位置。混合血流增加了试验的准确性(P> 0.05)。模型敏感性和特异性为83.7%和75.7%。常规肿瘤表面和缺氧或异思科肿瘤质量分化的黑素瘤和回归模型中的转移性肿块,敏感性为85.2%,特异性为75.0%。曲线(AUC)下的面积分别为0.851硒(标准误差)0.041和0.853 SE 0.063。 5倍交叉验证的AUC分别为0.80 SE 0.0477和0.743 SE 0.094。结论:周围脉络膜中的动脉或混合血流,常规肿瘤表面和肿瘤位置可能是恶性肿瘤的特征。常规肿瘤表面和肿瘤质量的eChogenity可以将黑素瘤与转移性肿瘤分化。

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