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首页> 外文期刊>Anticancer Research: International Journal of Cancer Research and Treatment >Relationship Among Tumor Attenuation Value of Pre-contrast Computed Tomography (CT), Washout Rate and Constituent Cells in Adrenal Adenoma: Proposition of a New Approach for Diagnosing Adrenal Adenoma on Dynamic CT
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Relationship Among Tumor Attenuation Value of Pre-contrast Computed Tomography (CT), Washout Rate and Constituent Cells in Adrenal Adenoma: Proposition of a New Approach for Diagnosing Adrenal Adenoma on Dynamic CT

机译：肾上腺腺瘤预造影性断层扫描（CT），冲洗率和成分细胞的肿瘤衰减值的关系：提出一种诊断肾上腺腺瘤动态CT的新方法

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Aim: To elucidate the relationship among tumor attenuation of pre-contrast-enhanced (TApre) computed tomography (CT), washout rate and clear cell ratio (CCR) in adrenal adenoma (AA) and propose a new approach for diagnosing AA on dynamic CT. Materials and Methods: The training set consisted of 43 AAs and 15 non-AAs, while the validation set comprised 44 AAs and 11 non-AAs. Using the training set, the pairwise correlation between CCR, TApre and washout rate in AA was evaluated by linear regression analysis. A predictive formula for diagnosing AA was established by multiple logistic regression analysis using washout rate and TApre. Using the validation set, the diagnostic performance of this formula was investigated by comparing with the conventional diagnostic criteria: TApre = 10 HU or washout rate = an optimal threshold calculated in the training set. Results: Washout rate increased as CCR decreased, and as TApre increased. The formula predicting the probability of AA was: p(AA)=11{1+exp(-1.5257+0.4923 x TApre-0.3264 x washout rate)}. Diagnostic performance of this formula was sensitivity of 93.2% and accuracy of 89.1%, while for the conventional diagnostic criteria, sensitivity was 81.8-86.4% and accuracy 81.8-83.6%. Conclusion: The diagnostic potential of dynamic CT for diagnosing AA may be improved by changing the threshold of washout rate based on substituting TApre for CCR.
机译：目的：阐明肾上腺腺瘤（AA）中预造影性增强（CT），冲洗率和透明细胞比（CCR）的肿瘤衰减关系的关系，并提出了一种在动态CT上诊断AA的新方法。材料和方法：培训集由43 AA和15个非AA组成，而验证组包括44 AA和11个非AA。使用培训集，通过线性回归分析评估AA中CCR，TapRe和冲洗率之间的成对相关性。通过使用冲洗速率和Tapre的多元逻辑回归分析建立了用于诊断AA的预测公式。使用验证集，通过与常规诊断标准进行比较来研究该公式的诊断性能：Tapre＆ = 10 hu或washout率＆ =在训练集中计算的最佳阈值。结果：随着CCR减少，随着Tapre的增加，冲刷率增加。预测AA概率的公式是：p（aa）= 11 {1 + exp（-1.5257 + 0.4923 x tapre-0.3264 x损失率）。该公式的诊断性能为93.2％的敏感性，精度为89.1％，而对于常规的诊断标准，敏感性为81.8-86.4％，精度为81.8-83.6％。结论：通过改变基于代替CCR的TapRe来改变冲洗率的阈值，可以提高动态CT的诊断电位。

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