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一种利用磁共振成像(MR)和计算机断层扫描(CT)图像区分硬膜转移瘤和脑膜瘤的影像学评分系统。

A proposed imaging scoring system to differentiate dural-based metastasis from meningioma using MR and CT images.

作者信息

Alali Akeel A, Aljaafary Maryam, AlBaker Khalid

机构信息

College of Medicine, Clinical Affairs. King Saud bin Abdulaziz University for Health Sciences, Mail Code: 1418, Riyadh, 14181, Saudi Arabia.

King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.

出版信息

BMC Med Imaging. 2025 May 15;25(1):163. doi: 10.1186/s12880-025-01723-z.

Abstract

BACKGROUND AND PURPOSE

The differentiation between dural-based metastasis and meningioma, which is the most common benign extra axial tumor, is crucial, particularly when staging patients with known primary neoplasms. The purpose of this study was to assess CT and MR imaging features and to validate a proposed imaging scoring system to differentiate between the two pathologies.

MATERIALS AND METHODS

A total of 84 patients with pathologically proven meningioma and 31 dural-based metastases were included in this retrospective study. The CT and MR imaging features, including the mean apparent diffusion coefficient (ADC), presence of edema, cystic changes, dural tail, leptomeningeal enhancement, calcifications, bone destruction and hyperostosis, were evaluated. The efficacy of the proposed imaging method for meningioma and its benign findings was evaluated.

RESULTS

There was a significant difference in most of the imaging features between patients with meningiomas and those with dural-based metastasis. The presence of vasogenic edema, leptomeningeal enhancement and bone destruction was significantly greater in patients with dural-based metastasis. Bone destruction and leptomeningeal enhancement showed the highest specificity for dural-based metastasis. There was also a significant difference between the two pathologies according to the proposed scoring system, with a P value < 0.001. Receiver Operator Characteristic (ROC) curve analysis was done to optimize the cutoff point which was identified as score 2 and above which has high 89.6% diagnostic accuracy for meningioma.

CONCLUSION

The proposed imaging scoring system could be an effective tool for predicting the diagnosis of meningioma. This can be utilized to discriminate between meningioma and dural-based metastasis, particularly when staging patients with known primary neoplasms.

摘要

背景与目的

鉴别硬膜转移瘤与脑膜瘤(最常见的良性脑外肿瘤)至关重要,尤其是在对已知原发性肿瘤患者进行分期时。本研究的目的是评估CT和MR成像特征,并验证一种用于区分这两种病理情况的成像评分系统。

材料与方法

本回顾性研究纳入了84例经病理证实的脑膜瘤患者和31例硬膜转移瘤患者。评估了CT和MR成像特征,包括平均表观扩散系数(ADC)、水肿情况、囊性改变、硬膜尾征、软脑膜强化、钙化、骨质破坏和骨质增生。评估了所提出的成像方法对脑膜瘤及其良性表现的有效性。

结果

脑膜瘤患者和硬膜转移瘤患者的大多数成像特征存在显著差异。硬膜转移瘤患者的血管源性水肿、软脑膜强化和骨质破坏更为明显。骨质破坏和软脑膜强化对硬膜转移瘤具有最高的特异性。根据所提出的评分系统,这两种病理情况之间也存在显著差异,P值<0.001。进行了受试者操作特征(ROC)曲线分析以优化临界值,确定为2分及以上,该评分对脑膜瘤具有89.6%的高诊断准确性。

结论

所提出的成像评分系统可能是预测脑膜瘤诊断的有效工具。这可用于区分脑膜瘤和硬膜转移瘤,尤其是在对已知原发性肿瘤患者进行分期时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3715/12080040/41ec35516fc8/12880_2025_1723_Fig1_HTML.jpg

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