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眼眶肿物:扩散加权成像在病变分类中的应用价值

Orbital masses: the usefulness of diffusion-weighted imaging in lesion categorization.

作者信息

Fatima Z, Ichikawa T, Ishigame K, Motosugi U, Waqar A B, Hori M, Iijima H, Araki T

机构信息

Department of Radiology, University of Yamanashi, 1110 Shimokato, 409-3898, Chuo-shi, Yamanashi, Japan.

出版信息

Clin Neuroradiol. 2014 Jun;24(2):129-34. doi: 10.1007/s00062-013-0234-x. Epub 2013 Jul 12.

Abstract

INTRODUCTION

Diffusion-weighted imaging (DWI) produces contrast among different kinds of tissues according to their diffusibility characteristics. The purpose of our study was to evaluate the role of DWI including measurement of apparent diffusion coefficient (ADC) values in recognizing benignancy or malignancy of orbital masses.

METHODS

A total of 39 orbital masses were evaluated visually for signal characteristics on DWI and ADC maps. ADC values were calculated for each lesion. Visual signal characteristics were compared using the Fisher exact test. Receiver operating characteristic (ROC) analysis was carried out to determine sensitivity and specificity for distinguishing malignant from benign lesions using ADC values. The Mann-Whitney U test was applied to compare the ADC values between orbital lymphomas and idiopathic orbital inflammatory (IOI) lesions, and between optic nerve sheath meningiomas and gliomas.

RESULTS

Visual assessment revealed no significant difference between benign and malignant lesions on DWI (p-value = 0.66). However, visual assessment of ADC maps revealed a statistically significant (p-value ≤ 0.0001) between benign and malignant lesions. ROC analysis showed a sensitivity of 83.33 % and a specificity of 85.71 % when using an optimal cut off ADC value of 0.84 × 10(-3) mm(2)/s for differentiating malignant from benign lesions. Significant differences in mean ADC values were observed between lymphomas and IOI lesions (p-value = 0.05), and between optic nerve sheath meningiomas and gliomas (p-value = 0.03).

CONCLUSION

DWI is useful for differentiating malignant and benign orbital tumors if accompanied by visual assessment of ADC maps and ADC value calculations.

摘要

引言

扩散加权成像(DWI)根据不同组织的扩散特性产生对比度。我们研究的目的是评估DWI包括表观扩散系数(ADC)值测量在识别眼眶肿块良恶性方面的作用。

方法

对39个眼眶肿块在DWI和ADC图上进行视觉信号特征评估。计算每个病变的ADC值。使用Fisher精确检验比较视觉信号特征。进行受试者操作特征(ROC)分析以确定使用ADC值区分恶性和良性病变的敏感性和特异性。应用Mann-Whitney U检验比较眼眶淋巴瘤与特发性眼眶炎症(IOI)病变之间以及视神经鞘膜瘤与胶质瘤之间的ADC值。

结果

视觉评估显示DWI上良性和恶性病变之间无显著差异(p值 = 0.66)。然而,ADC图的视觉评估显示良性和恶性病变之间具有统计学意义(p值≤0.0001)。ROC分析显示,当使用0.84×10⁻³ mm²/s的最佳截断ADC值区分恶性和良性病变时,敏感性为83.33%,特异性为85.71%。淋巴瘤与IOI病变之间以及视神经鞘膜瘤与胶质瘤之间的平均ADC值存在显著差异(p值 = 0.05和p值 = 0.03)。

结论

如果结合ADC图的视觉评估和ADC值计算,DWI有助于区分眼眶肿瘤的良恶性。

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