MAGNETIC RESONANCE IMAGING FEATURES OF MENINGIOMAS IN ADULTS
Main Article Content
Abstract
Objectives: Evaluate magnetic resonance imaging (MRI) characteristics of meningioma in adults. Subjects and methods: Retrospective combined with prospective research, cross-sectional description of 76 patients with 81 diagnosed tumors, surgical and histopathological results of meningioma in the Department of Neurosurgery, Viet Duc Hospital and Military Hospital 103 during the period from October 2020 to March 2021. Results: Most are solitary tumors (96.1%), well-differentiated (67.9%), average size 40.19 ± 16.45mm. Tumor iso-intense on T1W and slightly hyper-intense on T2W, and the rates are 66.7% and 65.4%, respectively. After injection, most tumors enhanced homogeneous (79%), the epidural tail was observed in 60.5% of all tumors. The calcification, cysts in the tumor, bleeding in the tumor accounted for 12.3%, 2.5%, and 16.0%, respectively. Brain edema around tumors was found in 59.3%. The rates of arterial compression, venous sinus compression, and nerve compression were 22.2%, 38.3%, and 28.4%, respectively. 9.9% of tumors have bone lesions. Conclusion: MRI is a precious diagnostic imaging method in diagnosing meningioma and evaluating the extent of invasiveness around the tumor, helping with diagnosis and prognosis.
Article Details
Keywords
Magnetic resonance, meningioma
References

2. Trần Văn Việt (2011). Nghiên cứu giá trị chụp cộng hưởng từ, chụp mạch số hóa xóa nền trong chẩn đoán và điều trị u màng não. Luận án Tiến sỹ Y học, Đại học Y Hà Nội.

3. Nguyễn Minh Thuận (2019). Mô tả đặc điểm lâm sàng, chẩn đoán hình ảnh và đánh giá kết quả điều trị phẫu thuật bước đầu u màng não vòm sọ tại bệnh viện K. Thạc sỹ, Đại học Y Hà Nội.

4. F. Salah, A. Tabbarah, N. Alarab y. et al. (2019), "Can CT and MRI features differentiate benign from malignant meningiomas?". Clinical Radiology, 74(11), pp. 898.e15-898.e23.

5. J. Watts, G. Box, A. Galvin. et al. (2014), "Magnetic resonance imaging of meningiomas: a pictorial review". Insights Imaging, 5(1), pp. 113-22.

6. Antonios Drevelegas (2010), Imaging of brain tumors with histological correlations,Springer Science & Business Media

7. T. Zhang, J. M. Yu, Y. Q. Wang. et al. (2018), "WHO grade I meningioma subtypes: MRI features and pathological analysis". Life Sci, 213, pp. 50-56.
