Several issues in predicting intracranial arteriovenous malformation rupture and hemorrhage

doi:10.11817/j.issn.1673-9248.2024.03.001

Abstract

Abstract:

Intracranial arteriovenous malformation (AVM) is a congenital vascular malformation with an estimated lifetime rupture risk of 50%. Striking the right balance between the risks of surgical intervention and rupture is a critical consideration in the diagnosis and treatment of AVM. The accurate prediction of rupture risk is a major focus of AVM research. Recent advancements in imaging techniques and artificial intelligence have contributed to progress in predicting AVM rupture. This article reviews the recognized risk factors for rupture, and evaluates AVM risk prediction models to assist in predicting AVM rupture risk globally.

Key words: Arteriovenous malformation, Hemorrhage, Predicting

Shaosen Zhang, Jiyuan Wang, Dong Zhang. Several issues in predicting intracranial arteriovenous malformation rupture and hemorrhage[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2024, 18(03): 197-201.

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References 44

1	Lawton MT, Rutledge WC, Kim H, et al. Brain arteriovenous malformations [J]. Nat Rev Dis Primers, 2015, 1: 15008.
2	Osbun JW, Reynolds MR, Barrow DL. Arteriovenous malformations: epidemiology, clinical presentation, and diagnostic evaluation [J]. Handb Clin Neurol, 2017, 143: 25-29.
3	Yang W, Feghali J, Sattari SA, et al. The natural history of hemorrhage in brain arteriovenous malformations-poisson regression analysis of 1066 patients in a single institution [J]. Neurosurgery, 2024, 94(2): 389-398.
4	Mohr JP, Parides MK, Stapf C, et al. Medical management with or without interventional therapy for unruptured brain arteriovenous malformations (ARUBA): a multicentre, non-blinded, randomised trial [J]. Lancet, 2014, 383(9917): 614-621.
5	Yamada S, Takagi Y, Nozaki K, et al. Risk factors for subsequent hemorrhage in patients with cerebral arteriovenous malformations [J]. J Neurosurg, 2007, 107(5): 965-972.
6	Karlsson B, Lindquist C, Johansson A, et al. Annual risk for the first hemorrhage from untreated cerebral arteriovenous malformations [J]. Minim Invasive Neurosurg, 1997, 40(2): 40-46.
7	Hermanto Y, Takagi Y, Yoshida K, et al. Histopathological features of brain arteriovenous malformations in Japanese patients [J]. Neurol Med Chir (Tokyo), 2016, 56(6): 340-344.
8	Tao W, Li S, Zeng C, et al. Machine learning models for brain arteriovenous malformations presenting with hemorrhage based on clinical and angioarchitectural characteristics [J]. Acad Radiol, 2024, 31(4): 1583-1593.
9	Stapf C, Mast H, Sciacca RR, et al. Predictors of hemorrhage in patients with untreated brain arteriovenous malformation [J]. Neurology, 2006, 66(9): 1350-1355.
10	Qureshi AM, Muthusami P, Krings T, et al. Clinical and angioarchitectural features of hemorrhagic brain arterio-venous malformations in adults and children: contrasts and implications on outcome [J]. Neurosurgery, 2021, 89(4): 645-652.
11	Garzelli L, Shotar E, Blauwblomme T, et al. Risk factors for early brain AVM rupture: cohort study of pediatric and adult patients [J]. AJNR Am J Neuroradiol, 2020, 41(12): 2358-2363.
12	Kim H, Sidney S, Mcculloch CE, et al. Racial/Ethnic differences in longitudinal risk of intracranial hemorrhage in brain arteriovenous malformation patients [J]. Stroke, 2007, 38(9): 2430-2437.
13	Goldberg J, Raabe A, Bervini D. Natural history of brain arteriovenous malformations: systematic review [J]. J Neurosurg Sci, 2018, 62(4): 437-443.
14	Hernesniemi JA, Dashti R, Juvela S, et al. Natural history of brain arteriovenous malformations: a long-term follow-up study of risk of hemorrhage in 238 patients [J]. Neurosurgery, 2008, 63(5): 823-829, discussion 829-831.
15	De Liyis BG, Arini A, Karuniamaya CP, et al. Risk of intracranial hemorrhage in brain arteriovenous malformations: a systematic review and meta-analysis [J]. J Neurol, 2024, 271(5): 2274-2284.
16	Mendoza-Elias N, Shakur SF, Charbel FT, et al. Cerebral arteriovenous malformation draining vein stenosis is associated with atherosclerotic risk factors [J]. J Neurointerv Surg, 2018, 10(8): 788-790.
17	Yu JF, Nicholson AD, Nelson J, et al. Predictors of intracranial hemorrhage volume and distribution in brain arteriovenous malformation [J]. Interv Neuroradiol, 2018, 24(2): 183-188.
18	Sahlein DH, Mora P, Becske T, et al. Features predictive of brain arteriovenous malformation hemorrhage: extrapolation to a physiologic model [J]. Stroke, 2014, 45(7): 1964-1970.
19	Nataf F, Meder JF, Roux FX, et al. Angioarchitecture associated with haemorrhage in cerebral arteriovenous malformations: a prognostic statistical model [J]. Neuroradiology, 1997, 39(1): 52-58.
20	Miyasaka Y, Yada K, Ohwada T, et al. An analysis of the venous drainage system as a factor in hemorrhage from arteriovenous malformations [J]. J Neurosurg, 1992, 76(2): 239-243.
21	Shi X, Wang Z, Yu C. An analysis of the correlation between angiographic and clinical findings in cerebral arteriovenous malformations [J]. Chin Med Sci J, 1993, 8(1): 35-37.
22	Albert P, Salgado H, Polaina M, et al. A study on the venous drainage of 150 cerebral arteriovenous malformations as related to haemorrhagic risks and size of the lesion [J]. Acta Neurochir (Wien), 1990, 103(1-2): 30-34.
23	De Castro-Afonso LH, Vanzim JR, Trivelato FP, et al. Association between draining vein diameters and intracranial arteriovenous malformation hemorrhage: a multicentric retrospective study [J]. Neuroradiology, 2020, 62(11): 1497-1505.
24	Li R, Chen P, Han H, et al. Association of nidus size and rupture in brain arteriovenous malformations: insight from angioarchitecture and hemodynamics [J]. Neurosurg Rev, 2023, 46(1): 216.
25	Mosteiro A, Pedrosa L, Torne R, et al. Venous tortuosity as a novel biomarker of rupture risk in arteriovenous malformations: ARI score [J]. J Neurointerv Surg, 2022, 14(12): 1220-1225.
26	Hung AL, Yang W, Jiang B, et al. The effect of flow-related aneurysms on hemorrhagic risk of intracranial arteriovenous malformations [J]. Neurosurgery, 2019, 85(4): 466-475.
27	Langer DJ, Lasner TM, Hurst RW, et al. Hypertension, small size, and deep venous drainage are associated with risk of hemorrhagic presentation of cerebral arteriovenous malformations [J]. Neurosurgery, 1998, 42(3): 481-486, discussion 487-489.
28	Spetzler RF, Hargraves RW, Mccormick PW, et al. Relationship of perfusion pressure and size to risk of hemorrhage from arteriovenous malformations [J]. J Neurosurg, 1992, 76(6): 918-923.
29	Rustici A, Vari F, Sturiale C, et al. The angio-architectural features of brain arteriovenous malformations: is it possible to predict the probability of rupture? [J]. Neuroradiol J, 2023, 36(4): 427-434.
30	Stefani MA, Porter PJ, Terbrugge KG, et al. Large and deep brain arteriovenous malformations are associated with risk of future hemorrhage [J]. Stroke, 2002, 33(5): 1220-1224.
31	Mine S, Hirai S, Ono J, et al. Risk factors for poor outcome of untreated arteriovenous malformation [J]. J Clin Neurosci, 2000, 7(6): 503-506.
32	Zhang S, Sun S, Zhai Y, et al. Development and validation of a model for predicting the risk of brain arteriovenous malformation rupture based on three-dimensional morphological features [J]. Front Neurol, 2022, 13: 979014.
33	Khaw AV, Mohr JP, Sciacca RR, et al. Association of infratentorial brain arteriovenous malformations with hemorrhage at initial presentation [J]. Stroke, 2004, 35(3): 660-663.
34	Chalil A, Raupp EF, Duckwiler GR, et al. Hemodynamic and anatomical factors in arteriovenous malformation clinical presentation: 45 case studies [J]. Can J Neurol Sci, 2023, 50(1): 37-43.
35	Raoult H, Bannier E, Maurel P, et al. Hemodynamic quantification in brain arteriovenous malformations with time-resolved spin-labeled magnetic resonance angiography [J]. Stroke, 2014, 45(8): 2461-2464.
36	Lin TM, Yang HC, Lee CC, et al. Stasis index from hemodynamic analysis using quantitative DSA correlates with hemorrhage of supratentorial arteriovenous malformation: a cross-sectional study [J]. J Neurosurg, 2019, 132(5): 1574-1582.
37	Zhu H, Liu L, Chang Y, et al. Quantitative evaluation of the subsequent hemorrhage with arteriography-derived hemodynamic features in patients with untreated cerebral arteriovenous malformation [J]. Front Neurol, 2023, 14: 1174245.
38	Chen Y, Chen P, Li R, et al. Rupture-related quantitative hemodynamics of the supratentorial arteriovenous malformation nidus [J]. J Neurosurg, 2023, 138(3): 740-749.
39	Guo Y, Saunders T, Su H, et al. Silent intralesional microhemorrhage as a risk factor for brain arteriovenous malformation rupture [J]. Stroke, 2012, 43(5): 1240-1246.
40	Feghali J, Yang W, Xu R, et al. R(2)eD AVM score [J]. Stroke, 2019, 50(7): 1703-1710.
41	Taweel BA, Gillespie CS, Richardson GE, et al. External validation of brain arteriovenous malformation haemorrhage scores, AVICH, ICH and R2eD [J]. Acta Neurochir (Wien), 2022, 164(6): 1685-1692.
42	Rangwala SD, Albanese JS, Slingerland AL, et al. External validation of the R2eD AVM scoring system to assess rupture risk in pediatric AVM patients [J]. J Neurosurg Pediatr, 2023, 31(5): 469-475.
43	Chen Y, Han H, Meng X, et al. Development and validation of a scoring system for hemorrhage risk in brain arteriovenous malformations [J]. JAMA Netw Open, 2023, 6(3): e231070.
44	Zhang S, Wang J, Sun S, et al. CT angiography radiomics combining traditional risk factors to predict brain arteriovenous malformation rupture: a machine learning, multicenter study [J]. Transl Stroke Res, 2023. Online ahead of print.

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