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使用3.0 T磁共振扩散加权成像鉴别舌部良恶性病变

Differentiation of benign and malignant lesions of the tongue by using diffusion-weighted MRI at 3.0 T.

作者信息

Li S, Cheng J, Zhang Y, Zhang Z

机构信息

Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

出版信息

Dentomaxillofac Radiol. 2015;44(7):20140325. doi: 10.1259/dmfr.20140325. Epub 2015 Mar 31.

Abstract

OBJECTIVES

Diffusion-weighted MRI (DWI) has been introduced in head and neck lesions and adds important information to the findings obtained through conventional MRI. The purpose of this study was to assess the role of DWI in differentiating benign and malignant lesions of the tongue at 3.0-T field strength imaging.

METHODS

78 patients with 78 lingual lesions underwent conventional MRI and DWI with b-values of 0 and 1000 s mm(-2) before therapy. The apparent diffusion coefficient (ADC) maps were reconstructed, and the ADC values of the lingual lesions were calculated and compared between benign and malignant lesions of the tongue.

RESULTS

The mean ADC values of the malignant tumours, benign solid lesions and cystic lesions were (1.08±0.16)×10(-3), (1.68±0.33)×10(-3) and (2.21±0.35)×10(-3) mm2 s(-1), respectively. The mean ADC values of malignant tumours were significantly lower (p<0.001) than those of benign solid lesions, and the mean ADC values of benign solid lesions were significantly lower (p<0.001) than those of cystic lesions. Receiver operating characteristic analysis showed that when an ADC value<.31×10(-3) mm2 s(-1) was used for predicting malignancy, the highest accuracy of 95.3%, sensitivity of 92.6% and specificity of 97.3% were obtained.

CONCLUSIONS

ADC values of benign and malignant lesions are significantly different at 3.0-T imaging. DWI can be applied as a complementary tool in the differentiation of benign and malignant lesions of the tongue.

摘要

目的

扩散加权磁共振成像(DWI)已被应用于头颈部病变,为通过传统MRI获得的结果增添了重要信息。本研究的目的是评估在3.0-T场强成像中DWI在鉴别舌部良恶性病变中的作用。

方法

78例患有78处舌部病变的患者在治疗前接受了传统MRI和b值为0和1000 s/mm²的DWI检查。重建表观扩散系数(ADC)图,计算舌部病变的ADC值,并比较舌部良恶性病变之间的ADC值。

结果

恶性肿瘤、良性实性病变和囊性病变的平均ADC值分别为(1.08±0.16)×10⁻³、(1.68±0.33)×10⁻³和(2.21±0.35)×10⁻³mm²/s。恶性肿瘤的平均ADC值显著低于良性实性病变(p<0.001),良性实性病变的平均ADC值显著低于囊性病变(p<0.001)。受试者工作特征分析表明,当使用ADC值<1.31×10⁻³mm²/s来预测恶性肿瘤时,获得了最高准确率95.3%、敏感度92.6%和特异度97.3%。

结论

在3.0-T成像中,良恶性病变的ADC值有显著差异。DWI可作为鉴别舌部良恶性病变的辅助工具。

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