期刊俱乐部：Warthin 肿瘤评分：一种简单可靠的方法，可区分沃辛肿瘤与多形性腺瘤和癌。
JOURNAL CLUB: The Warthin Tumor Score: A Simple and Reliable Method to Distinguish Warthin Tumors From Pleomorphic Adenomas and Carcinomas.
机构信息
1 Department of Radiology, National Defense Medical Center, Taipei, Taiwan, Republic of China.
2 Department of Radiology, Tri-Service General Hospital, 325, Sec 2, Cheng-Kong Rd, Neihu, Taipei, Taiwan, Republic of China.
出版信息
AJR Am J Roentgenol. 2018 Jun;210(6):1330-1337. doi: 10.2214/AJR.17.18492. Epub 2018 Apr 18.
OBJECTIVE
The objective of this article is to propose a Warthin tumor (WT) score to distinguish WTs from other parotid tumors.
MATERIALS AND METHODS
The study included 78 patients with 92 histologically proven parotid tumors, including 42 WTs, 30 pleomorphic adenomas (PMAs), and 20 carcinomas. Echo-planar DW images were acquired. The WT score, which comprised the mean apparent diffusion coefficient (ADC) and the SD of the ADC (ADC) of tumors, patient age, and patient sex, was used to predict WTs. The diagnostic performance of the WT score was evaluated using ROC analyses. Statistical significance was denoted by p < 0.05.
RESULTS
With the use of optimized criteria, including an ADC less than or equal to 1.016 × 10 mm/s (WT score, 1), an ADC less than or equal to 0.1171 × 10 mm/s (WT score, 1), patient age older than 49 years (WT score, 1), and male sex (WT score, 1), a WT score greater than 2 had a sensitivity, specificity, positive negative value, negative predictive value, and accuracy of 85.7%, 100.0%, 100.0%, 89.3%, and 93.4%, respectively.
CONCLUSION
The WT score allows parotid WTs to be distinguished from PMAs and carcinomas with high accuracy.
目的
本文旨在提出一种沃辛瘤（WT）评分，以区分 WT 与其他腮腺肿瘤。
材料与方法
本研究纳入了 78 例 92 个经组织学证实的腮腺肿瘤患者，包括 42 例 WT、30 例多形性腺瘤（PMAs）和 20 例癌。采集了 echo-planar DW 图像。WT 评分包括肿瘤的平均表观扩散系数（ADC）和 ADC 的标准差（ADC）、患者年龄和患者性别，用于预测 WT。使用 ROC 分析评估 WT 评分的诊断性能。p<0.05 表示具有统计学意义。
结果
使用优化标准，包括 ADC 小于或等于 1.016×10mm/s（WT 评分 1）、ADC 小于或等于 0.1171×10mm/s（WT 评分 1）、年龄大于 49 岁（WT 评分 1）和男性（WT 评分 1），WT 评分大于 2 时的敏感性、特异性、阳性预测值、阴性预测值和准确性分别为 85.7%、100.0%、100.0%、89.3%和 93.4%。
结论
WT 评分可准确地区分腮腺 WT 与 PMAs 和癌。
Zotero 插件