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腮腺沃辛氏瘤:新的磁共振成像评分作为诊断指标。

Parotid Warthin's tumor: novel MR imaging score as diagnostic indicator.

机构信息

Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, Baltimore, MD, USA.

Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA.

出版信息

Clin Imaging. 2022 Jan;81:9-14. doi: 10.1016/j.clinimag.2021.09.005. Epub 2021 Sep 22.

Abstract

OBJECTIVES

Despite known characteristic radiologic and clinical features, differentiation between Warthin's tumor (WT) and other parotid tumors remains challenging. The purpose of this study was to more precisely assess the MR imaging features of WT and to develop a scoring system combining the most specific characteristics.

METHODS

A total of 208 patients with parotid gland tumors and presurgical MRI were included. Tumors were divided into 5 histological subtypes, and different MRI features were compared between groups. An MRI scoring test was developed including MR parameters that contributed significantly in distinguishing WT from other tumors.

RESULTS

The best MRI features for differentiating between WTs from other tumors included bilaterality (P = 0.002), multifocality (P < 0.001), ADC values <905.1 (P < 0.001), and high signal intensity on T1-W images (P < 0.001). Six or more points on the 14-point scoring MRI scale was associated with an area under the curve of 0.99 (Accuracy of 98%), while a cut-off value of 7 indicated 100% specificity and 100% positive predictive value.

CONCLUSIONS

Ill-defined margins, low T1-W signal, and location in the upper 2/3 of the parotid gland excluded WTs in 100% of cases. The proposed scoring method allows WTs to be distinguished from other tumors with high accuracy.

摘要

目的

尽管已知沃辛瘤(Warthin's tumor,WT)具有特征性的放射影像学和临床特征,但仍难以将其与其他腮腺肿瘤区分开来。本研究旨在更精确地评估 WT 的磁共振成像(MRI)特征,并制定一种评分系统,将最具特异性的特征结合起来。

方法

共纳入 208 例腮腺肿瘤患者和术前 MRI 检查。将肿瘤分为 5 种组织学亚型,比较组间不同的 MRI 特征。开发了一种 MRI 评分测试,包括对区分 WT 与其他肿瘤有显著贡献的 MRI 参数。

结果

区分 WT 与其他肿瘤的最佳 MRI 特征包括双侧性(P=0.002)、多灶性(P<0.001)、ADC 值<905.1(P<0.001)和 T1-W 图像上的高信号强度(P<0.001)。14 分评分 MRI 量表上得分为 6 分或以上与曲线下面积为 0.99(准确率为 98%)相关,而截断值为 7 则表示 100%的特异性和 100%的阳性预测值。

结论

边界不清、T1-W 信号低和位于腮腺上 2/3 部分可排除 WT 发生的可能性达 100%。所提出的评分方法可以准确地区分 WT 与其他肿瘤。

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