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Interobserver agreement in distinguishing large adrenal adenomas and adrenocortical carcinomas on computed tomography

机译:Interobserver协议在区分大肾上腺腺瘤和肾上腺皮质癌上的计算断层扫描

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Purpose: Large adrenal masses pose a diagnostic dilemma. The purpose of this study was twofold: first, to assess the degree of interobserver agreement in evaluating the morphology of pathologically proven adrenal adenomas and adrenocortical carcinomas larger than 4 cm in diameter; and second, to identify morphologic characteristics that correlated with the pathologic diagnosis. Materials and methods: For this blinded, retrospective study, we collected cases of 25 adrenal adenomas and 33 adrenocortical carcinomas measuring larger than 4 cm. Two radiologists evaluated morphologic characteristics of the lesions on CT. Interobserver agreement was evaluated using kappa statistics, and the correlation of imaging characteristics with the diagnosis was evaluated using a logistic regression model. Results: We found the highest interobserver agreement in the assessment of precontrast attenuation (A = 0.81) as well as substantial agreement in determining the shape and the presence of calcifications (A = 0.69 and 0.74, respectively). Readers agreed less often regarding the presence of fat (A = 0.48), as well as regarding the presence of necrosis, heterogeneity, and the overall impression (A = 0.15, 0.24, and 0.26, respectively). CT characteristics correlated with benignity included round shape (p = 0.02), an overall radiologic impression of a benign lesion (p < 0.0001), the presence of fat (p = 0.01), and a precontrast attenuation of less than 10 Hounsfield units (p < 0.0001). The latter two of these characteristics were highly specific for benign pathology (93% and 100%, respectively). Conclusion: Our study suggests that CT has the ability to consistently identify characteristics significantly correlated with benign vs. malignant adrenal tumors.
机译:目的:大肾上腺素造成诊断困境。本研究的目的是双重的:首先,评估Interobserver协议的程度,评估病理证明肾上腺腺素和直径大于4厘米的肾上腺皮质癌的形态;其次,鉴定与病理诊断相关的形态学特征。材料和方法:对于这种盲,回顾性研究,我们收集了25例肾上腺腺癌和33个肾上腺皮质癌的案例,该癌症测量大于4厘米。两个放射科医生评估了CT上病变的形态学特征。使用Kappa统计评估Interobserver协议,使用逻辑回归模型评估成像特性与诊断的相关性。结果:我们发现了最高的Interobserver协议,评估预体衰减(A = 0.81)以及在确定形状和钙化的存在时(分别存在钙化的存在而进行了大量的协议(A = 0.69和0.74)。读者同意较不经常有脂肪(a = 0.48)的存在,以及关于坏死,异质性和整体印象的存在(分别为= 0.15,0.24和0.26)。 CT特性与良性相关的特性包括圆形(P = 0.02),良性病变的整体放射学压印(P <0.0001),脂肪的存在(P = 0.01),以及少于10个Hounsfield单位的预体衰减(P <0.0001)。这些特征中的后两种对良性病理学的高度特异性(分别为93%和100%)。结论:我们的研究表明,CT能够始终如一地识别与良性与恶性肾上腺肿瘤明显相关的特征。

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