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弥散加权磁共振成像鉴别儿童腮腺良恶性肿瘤。

Differentiation malignant from benign parotid tumors in children with diffusion-weighted MR imaging.

机构信息

Department of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura, 13551, Egypt.

出版信息

Oral Radiol. 2021 Jul;37(3):463-468. doi: 10.1007/s11282-020-00479-2. Epub 2020 Sep 3.

DOI:10.1007/s11282-020-00479-2
PMID:32885384
Abstract

PURPOSE

To differentiate pediatric solid malignant from the benign parotid tumors with diffusion-weighted MR imaging (DWI).

MATERIALS AND METHODS

A retrospective study comprising 38 children with parotid tumors (21 boys and 17 girls aged from 2 months to 17 years) was conducted using (DWI) of the parotid gland. Apparent diffusion coefficient (ADC) maps were generated. The ADC value of the parotid tumors was calculated.

RESULTS

The mean ADC value of malignant parotid tumors (1.08 ± 0.1, 1.04 ± 0.1 × 10mm/s) was significantly lower [P = 0.001] than that of benign lesions (1.69 ± 0.2, 1.72 ± 0.3 × 10mm/s). A threshold of ADC of 1.40, 1.33 × 10mm/s was used for differentiating malignant parotid tumors from benign lesions and led to the best results of the area under the curve of 0.940, 0.929, accuracy of 86, 89%, sensitivity of 94, 94%, specificity of 80, 85%, negative predictive value of 94.1, 94.4%, and positive predictive value of 81, 85%. There was insignificant difference in ADC values of malignant lesions (P = 0.23, 0.30) as well as within benign lesions (P = 0.25, 0.08).

CONCLUSION

DWI is an innovative anticipating imaging technique that can be used in the differentiation of pediatric solid malignant parotid tumors from benign lesions.

摘要

目的

利用磁共振弥散加权成像(DWI)鉴别小儿腮腺实性良恶性肿瘤。

材料与方法

回顾性分析 38 例腮腺肿瘤患儿(男 21 例,女 17 例;年龄 2 个月至 17 岁)的 DWI 资料,生成表观弥散系数(ADC)图,计算腮腺肿瘤的 ADC 值。

结果

恶性腮腺肿瘤的平均 ADC 值(1.08±0.1、1.04±0.1×10mm/s)显著低于良性病变(1.69±0.2、1.72±0.3×10mm/s)(P=0.001)。ADC 值阈值为 1.40、1.33×10mm/s 时,鉴别腮腺良恶性肿瘤的曲线下面积最佳,分别为 0.940、0.929,准确率为 86%、89%,敏感度为 94%、94%,特异度为 80%、85%,阴性预测值为 94.1%、94.4%,阳性预测值为 81%、85%。恶性病变 ADC 值之间差异无统计学意义(P=0.23、0.30),良性病变 ADC 值之间差异也无统计学意义(P=0.25、0.08)。

结论

DWI 是一种创新性的预测成像技术,可用于鉴别小儿腮腺实性良恶性肿瘤。

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