IMAGING CHARACTERISTICS AND DIAGNOSTIC VALUE OF MAGNETIC RESONANCE IMAGING IN CEREBRAL ARTERIOVENOUS MALFORMATIONS

Trung Kien Lam1, , Van Phuoc Le2, Hoang Anh Nguyen3, Dung Tien Doan1, Hoang An Nguyen1, Thuy Nga Doan1, Phung Diem Nhi Nguyen1
1 Can Tho University of Medicine and Pharmacy
2 Cho Ray Hospital
3 Can Tho General Hospital

Main Article Content

Abstract

Background: Cerebral arteriovenous malformations are characterised by direct shunts between the arterial and venous systems through a nidus without an intervening capillary network, and may cause intracranial haemorrhage with high rates of neurological sequelae and mortality. Magnetic resonance imaging allows detection and characterisation of the nidus. Objectives: To describe the imaging characteristics and evaluate the diagnostic value of magnetic resonance imaging in cerebral arteriovenous malformations. Materials and methods: A prospective crosssectional descriptive study of 43 patients with suspected cerebral arteriovenous malformation who underwent non-contrast brain magnetic resonance imaging and digital subtraction angiography at Can Tho Central General Hospital and Can Tho Stroke International Services from June 2024 to January 2026. Results: Digital subtraction angiography confirmed cerebral arteriovenous malformation in 37 of 43 patients, of which magnetic resonance imaging detected 36. Among the 36 niduses detected on magnetic resonance imaging: supratentorial location accounted for 88.9% and eloquent-area involvement for 38.9%; nidus size < 3 cm accounted for 52.8%; exclusively superficial venous drainage accounted for 75.0%; and Spetzler-Martin grade I was the most frequent, at 38.9%. In the diagnosis of cerebral arteriovenous malformation, magnetic resonance imaging achieved a sensitivity, specificity and accuracy of 97.3%, 100% and 97.7%, respectively; accuracy in identifying draining veins and feeding arteries were 86.1% and 83.3%, respectively. Conclusion: Magnetic resonance imaging demonstrates high diagnostic value for cerebral arteriovenous malformations. 

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References

1. Tanaka M. Basic Knowledge and Overview of Review Brain AVMs. Journal of Neuroendovascular Therapy. 19(1), 2024-0037, doi: 10.5797/jnet.ra.2024-0037.
2. Shaikh N., Al-Kubaisi A., Khan M.M., Khan A., Mahmood Z., et al. Cerebral Arteriovenous Malformation from Classification to the Management. In Vascular Malformations of the Central Nervous System. IntechOpen. 2020, doi: 10.5772/intechopen.86659.
3. Koester S.W., Batista S., Bertani R., Yengo-Kahn A., Roth S., et al. Angiographic Factors Leading to Hemorrhage in AVMs: A Systematic Review and Meta-Analysis. Neurosurgical Review. 2023.46, 72, doi: 10.1007/s10143-023-01971-z.
4. Garcia-Espinosa P., Botello-Hernández E., Torres-Hernández G., Guerrero-Cavazos C., Villareal-Garza E., et al. Predictors of Cerebral Arteriovenous Malformation Mortality: A Single-center, Five-year Retrospective Study. International Journal of Medical Students. 2021.9(3), 213-218, doi: 10.5195/ijms.2021.884.
5. Martín-Noguerol T., Concepción-Aramendia L., Lim C.T., Santos-Armentia E., CabreraZubizarreta A., et al. Conventional and advanced MRI evaluation of brain vascular malformations. Journal of Neuroimaging. 2021. 31(3), 428-445, doi: 10.1111/jon.12853.
6. Spetzler R.F., Martin N.A. A proposed grading system for arteriovenous malformations. Journal of Neurosurgery. 1986.65(4), 476-483, doi: 10.3171/jns.1986.65.4.0476.
7. Lahmiri S., Boukadoum M., Di Ieva A. Fractal-Based Arteriovenous Malformations Detection in Brain Magnetic Resonance Images. New Circuits and Systems Conference (NEWCAS). 2014, 21-24, doi: 10.1109/newcas.2014.6933975.
8. Morris Z., Whiteley W.N., Longstreth W.T., Weber F., Lee Y.C., et al. Incidental findings on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ. 2009.339, b3016, doi: 10.1136/bmj.b3016.
9. Nguyễn Ngọc Cương. Đánh giá kết quả điều trị nút mạch dị dạng động tĩnh mạch não đã vỡ bằng dung dịch kết tủa không ái nước (PHIL). Luận án Tiến sĩ. Đại học Y Hà Nội. 2020, 175.
10. Nguyễn Văn An, Lương Quốc Chính, Ngô Mạnh Hùng. Đặc điểm lâm sàng, chẩn đoán hình ảnh của dị dạng thông động tĩnh mạch não độ thấp. Tạp Chí Y học Việt Nam. 2022. 518(2), doi: 10.51298/vmj.v518i2.3478
11. Musmar B., Adeeb N., Abdalrazeq H., Roy J.M., Tjoumakaris S.I., et al. Outcomes of arteriovenous malformation patients with multiple versus single feeders: A multicenter retrospective study with propensity-score matching. European Stroke Journal. 2025.10(3), 946-960, doi: 10.1177/23969873251319924.
12. El-Abtah M.E., Petitt J.C., Kashkoush A., Achey R., Bain M.D., et al. Endovascular Management of Arteriovenous Malformation-Associated Intracranial Aneurysms: A Systematic Literature Review. World Neurosurg. 2022. 164, 257-269, doi: 10.1016/j.wneu.2022.05.051
13. Chowdhury A.H., Islam M., Rahman A., Chowdhury S.J.H. A Comparative Study of Magnetic Resonance Angiography & Digital Subtraction Angiography in Diagnosis of Cerebral Arteriovenous Malformation. Bangladesh Journal of Medicine. 2013.24(2), 49-53, doi: 10.3329/bjmed.v24i2.18699.