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甲状腺炎诊断中声学结构量化的研究

Investigation of Acoustic Structure Quantification in the Diagnosis of Thyroiditis.

作者信息

Park Jisang, Hong Hyun Sook, Kim Chul-Hee, Lee Eun Hye, Jeong Sun Hye, Lee A Leum, Lee Heon

机构信息

1 Department of Radiology, Soonchunhyang University Bucheon Hospital, 170 Jomaru-ro, Wonmi-gu, Bucheon-si, Gyeonggi-do, 420-767, Korea.

2 Division of Endocrinology and Metabolism, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon-si, Gyeonggi-do, Korea.

出版信息

AJR Am J Roentgenol. 2016 Mar;206(3):601-8. doi: 10.2214/AJR.15.14586.

Abstract

OBJECTIVE

The objective of this study was to evaluate the ability of acoustic structure quantification (ASQ) to diagnose thyroiditis.

MATERIALS AND METHODS

The echogenicity of 439 thyroid lobes, as determined using ASQ, was quantified and analyzed retrospectively. Thyroiditis was categorized into five subgroups. The results were presented in a modified chi-square histogram as the mode, average, ratio, blue mode, and blue average. We determined the cutoff values of ASQ from ROC analysis to detect and differentiate thyroiditis from a normal thyroid gland. We obtained data on the sensitivity and specificity of the cutoff values to distinguish between euthyroid patients with thyroiditis and patients with a normal thyroid gland.

RESULTS

The mean ASQ values for patients with thyroiditis were statistically significantly greater than those for patients with a normal thyroid gland (p < 0.001). The AUCs were as follows: 0.93 for the ratio, 0.91 for the average, 0.90 for the blue average, 0.87 for the mode, and 0.87 for the blue mode. For the diagnosis of thyroiditis, the cutoff values were greater than 0.27 for the ratio, greater than 116.7 for the mean, and greater than 130.7 for the blue average. The sensitivities and specificities were as follows: 84.0% and 96.6% for the ratio, 85.3% and 83.0%, for the average, and 79.1% and 93.2% for the blue average, respectively. The ASQ parameters were successful in distinguishing patients with thyroiditis from patients with a normal thyroid gland, with likelihood ratios of 24.7 for the ratio, 5.0 for the average, and 11.6 for the blue average. With the use of the aforementioned cutoff values, the sensitivities and specificities for distinguishing between patients with thyroiditis and euthyroid patients without thyroiditis were 77.05% and 94.92% for the ratio, 85.25% and 82.20% for the average, and 77.05% and 92.37% for the blue average, respectively.

CONCLUSION

ASQ can provide objective and quantitative analysis of thyroid echogenicity. ASQ parameters were successful in distinguishing between patients with thyroiditis and individuals without thyroiditis, with likelihood ratios of 24.7 for the ratio, 5.0 for the average, and 11.6 for the blue average.

摘要

目的

本研究的目的是评估声学结构量化(ASQ)诊断甲状腺炎的能力。

材料与方法

回顾性地对439个甲状腺叶使用ASQ测定的回声性进行量化和分析。甲状腺炎分为五个亚组。结果以修正的卡方直方图形式呈现为众数、平均数、比率、蓝色众数和蓝色平均数。我们通过ROC分析确定ASQ的临界值,以检测甲状腺炎并将其与正常甲状腺区分开来。我们获取了关于临界值区分甲状腺炎甲状腺功能正常患者和正常甲状腺患者的敏感性和特异性的数据。

结果

甲状腺炎患者的平均ASQ值在统计学上显著高于正常甲状腺患者(p < 0.001)。曲线下面积(AUC)如下:比率为0.93,平均数为0.91,蓝色平均数为0.90,众数为0.87,蓝色众数为0.87。对于甲状腺炎的诊断,比率的临界值大于0.27,平均数大于116.7,蓝色平均数大于130.7。敏感性和特异性如下:比率分别为84.0%和96.6%,平均数分别为85.3%和83.0%,蓝色平均数分别为79.1%和93.2%。ASQ参数成功区分了甲状腺炎患者和正常甲状腺患者,比率的似然比为24.7,平均数为5.0,蓝色平均数为11.6。使用上述临界值,区分甲状腺炎患者和无甲状腺炎甲状腺功能正常患者的敏感性和特异性分别为:比率为77.05%和94.92%,平均数为85.25%和82.20%,蓝色平均数为77.05%和92.37%。

结论

ASQ可以对甲状腺回声性进行客观定量分析。ASQ参数成功区分了甲状腺炎患者和无甲状腺炎个体,比率的似然比为24.7,平均数为5.0,蓝色平均数为11.6。

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