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Factors Predictive of Obliteration After Arteriovenous Malformation Radiosurgery

Published online by Cambridge University Press:  02 December 2014

C. Herbert*
Affiliation:
Department of Radiation Oncology, British Columbia Cancer Agency
V. Moiseenko
Affiliation:
Department of Medical Physics, British Columbia Cancer Agency
M. McKenzie
Affiliation:
Department of Radiation Oncology, British Columbia Cancer Agency
G. Redekop
Affiliation:
Division of Neurosurgery, Vancouver General Hospital, Vancouver
F. Hsu
Affiliation:
Department of Radiation Oncology, British Columbia Cancer Agency, Abbotsford, British Columbia, Canada
E. Gete
Affiliation:
Department of Medical Physics, British Columbia Cancer Agency
B. Gill
Affiliation:
Department of Medical Physics, British Columbia Cancer Agency
R. Lee
Affiliation:
Department of Medical Physics, British Columbia Cancer Agency
K. Luchka
Affiliation:
Department of Medical Physics, British Columbia Cancer Agency
A. Lee
Affiliation:
Department of Neurosurgery, Royal Columbian Hospital, New Westminster
C. Haw
Affiliation:
Department of Radiation Oncology, British Columbia Cancer Agency Division of Neurosurgery, Vancouver General Hospital, Vancouver
B. Toyota
Affiliation:
Division of Neurosurgery, Vancouver General Hospital, Vancouver
M. Martin
Affiliation:
Department of Medical Imaging, British Columbia Cancer Agency
*
Department of Radiation Oncology, BC Cancer Agency, 600 West 10th Avenue, Vancouver, British Columbia, V5Z 4E6, Canada.
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Abstract

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Objective:

To investigate predictive factors of complete obliteration following treatment with linac-based stereotactic radiosurgery for intracerebral arteriovenous malformations.

Methods:

Archived plans for 48 patients treated at the British Columbia Cancer Agency and who underwent post-treatment digital subtraction angiography to assess obliteration were studied. Actuarial estimates of obliteration were calculated using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazards models were used for analysis of incidence of obliteration. Log-rank test was used to search for parameters associated with obliteration.

Results:

Complete nidus obliteration was achieved in 38/48 patients (79.2%). Actuarial rate of obliteration was 75.9% at 4 years (95% confidence interval 63.1%-88.6%). On univariate analysis, prescribed dose to the margin (p=0.002) and dose to isocentre (p=0.022) showed statistical significance. No parameters were significant in a multivariate model. According to the log-rank test, prescribed dose to the margin of >20 Gy (p=0.004) and dose to the isocentre of >25 Gy (p=0.004) were associated with obliteration.

Conclusion:

Reported series in the literature suggest a number of different factors are predictive of complete obliteration of arteriovenous malformations following radiosurgery. However, differing definitions of volume and complete obliteration makes direct comparison between series difficult. This study demonstrates that complete obliteration of the nidus following linear accelerator-based stereotactic radiosurgery for arteriovenous malformations appears to be most closely related to the prescribed marginal dose. In particular, a marginal dose of >20Gy is strongly associated with obtaining complete obliteration of the nidus.

Type
Original Articles
Copyright
Copyright © The Canadian Journal of Neurological 2011

References

1.Mandybur, TI, Nazek, M.Cerebral arteriovenous malformations: a detailed morphological and immunohistochemical study using actin. Arch Pathol Lab Med. 1990;114(9):9703.Google Scholar
2.Friedlander, RM.Arteriovenous malformations of the brain. N Engl J Med. 2007;356(26):270412.Google Scholar
3.ApSimon, HT, Reef, H, Phadke, RV, Popovic, EA.A population-based study of brain arteriovenous malformation: long-term treatment outcomes. Stroke. 2002;33(12):2794800.Google Scholar
4.Perret, G, Nishioka, H.Report on the cooperative study of intracranial aneurysm and subarachnoid haemorrhage. Section VI. Arteriovenous malformations: an analysis of 545 cases of craniocerebral arteriovenous malformations and fistulae reported to the cooperative study. J Neurosurg. 1966;25(4): 46790.Google Scholar
5.Monteiro, JM, Rosas, MJ, Correia, AP, Vaz, AR.Migraine and intracranial vascular malformations. Headache. 1993;33(10): 5635.Google Scholar
6.Brown, RD, Wiebers, DO, Torner, JC, O’Fallon, WM.Incidence and prevalence of intracranial vascular malformations in Olmsted County, Minnesota, 1965 to 1992. Neurology. 1996;46(4): 94952.Google Scholar
7.Brown, RD, Wiebers, DO, Torner, JC, O’Fallon, WM.Frequency of intracerebral hemorrhage as a presenting symptom and subtype analysis: a population-based study of intracranial vascular malformations in Olmsted County, Minnesota. J Neurosurg. 1996;85(1):2932.Google Scholar
8.Crawford, PM, West, CR, Chadwick, DW, Shaw, MD.Arteriovenous malformations of the brain: natural history in unoperated patients. J Neurol Neurosurg Psychiatry. 1986;49(1):110.Google Scholar
9.Ondra, SL, Troupp, H, George, ED, Schwab, K.The natural history of symptomatic arteriovenous malformations of the brain: a 24 year follow-up assessment. J Neurosurg. 1990; 73(3): 38791.Google Scholar
10.Stapf, C, Mast, H, Sciacca, RR, et al.Predictors of hemorrhage in patients with untreated brain arteriovenous malformation. Neurology. 2006;66(9):13505.Google Scholar
11.Ogilvy, CS, Stieg, PE, Awad, I, et al.Recommendations for the management of intracranial arteriovenous malformations: a statement for healthcare professionals from a special writing group of the stroke council, American Stroke Association. Stroke. 2001;32(6):145871.Google Scholar
12.Spetzler, RF, Martin, NA.A proposed grading system for arteriovenous malformations. J Neurosurg. 1986;65(4):47683.Google Scholar
13.Steiner, L, Leksell, L, Forster, DMC, Greitz, T, Backlund, EO.Stereotactic radiosurgery in intracranial arteriovenous malformations. Acta Neurochir (Wien). 1974;Suppl 21:195209.Google Scholar
14.Lunsford, LD, Kondziolka, D, Flickinger, JC, et al.Stereotactic radiosurgery for arteriovenous malformations of the brain. J Neurosurg. 1991;75(4):51224.Google Scholar
15.Colombo, F, Pozza, F, Chiergo, G.Linear accelerator radiosurgery of cerebral arteriovenous malformations; an update. Neurosurgery. 1994;34(1):1421.Google ScholarPubMed
16.Friedman, WA, Bova, FJ, Bollampally, S, Bradshaw, MS.Analysis of factors predictive of success or complications in arteriovenous malformations radiosurgery. Neurosurgery. 2003;52(2):296308.Google Scholar
17.Skjøth-Rasmussen, J, Roed, H, Ohlhues, L, Jespersen, B, Juhler, M.Complications following linear accelerator based stereotactic radiation for cerebral arteriovenous malformations. Int J Radiat Oncol Biol Phys. 2010;77(2):5427.Google Scholar
18.Zabel, A, Milker-Zabel, S, Huber, P, Shultz-Ertner, D, Schlegel, W, Debus, J.Treatment outcome after linac-based radiosurgery in cerebral arteriovenous malformations: retrospective analysis of factors affecting obliteration. Radiother Oncol. 2005;77(1): 10510.Google Scholar
19.Andrade-Souza, YM, Zadeh, G, Ramani, M, Scora, D, Tsao, MN, Schwartz, ML.Testing the radiosurgery-based arteriovenous malformation score and the modified Spetzler-Martin grading system to predict radiosurgical outcome. J Neurosurg. 2005;103(4):6428.Google Scholar
20.Kaplan, EL, Meier, P.Nonparametric estimation from incomplete observations. J Am Stat Assoc. 1958;53:45781.Google Scholar
21.Wegner, RE, Oysul, K, Pollock, BE, et al.A modified radiosurgery-based arteriovenous malformation grading scale and its correlation with outcomes. Int J Radiat Oncol Biol Phys. 2011 Mar 15;79(4):114750. Epub 2010 Jun 3.Google Scholar
22.Coffey, R, Nichols, D, Shaw, E.Stereotactic radiosurgical treatment of cerebral arteriovenous malformations. Gamma Unit Radiosurgery Study Group. Mayo Clin Proc. 1995;70(3):21422.Google Scholar
23.Engenhart, R, Wowra, B, Debus, J, et al.The role of high-dose singlefraction irradiation in small and large intracranial arteriovenous malformations. Int J Radiat Oncol Biol Phys. 1994;30(3):5219.Google Scholar
24.Friedman, W, Bova, F.Linear accelerator radiosurgery for arteriovenous malformations. J Neurosurg. 1992;77(6):83241.Google Scholar
25.Flickinger, JC, Pollock, BE, Kondziolka, D, Lunsford, LD.A dose-response analysis of arteriovenous malformation obliteration after radiosurgery. Int J Radiat Oncol Biol Phys. 1996;36(4): 8739.Google Scholar
26.Young, C, Summerfield, R, Schwartz, M, O’Brien, P, Ramani, R.Radiosurgery for arteriovenous malformations: the University of Toronto Experience. Can J Neurol Sci. 1997;24(2):99105.Google Scholar
27.Pollock, BE, Lunsford, LD, Kondziolka, D, Maitz, A, Flickinger, JC.Patient outcomes after stereotactic radiosurgery for “operable” arteriovenous malformations. Neurosurgery. 1994;35(1):18.Google Scholar
28.Orio, P, Stelzer, KJ, Goodkin, R, Douglas, JG.Treatment of arteriovenous malformations with linear accelerator-based radiosurgery compared with gamma knife surgery. J Neurosurg. 2006 Dec;105 Suppl:5863.Google Scholar
29.Hamilton, MG, Spetzler, RF.The prospective application of a grading system for arteriovenous malformations. Neurosurgery. 1994;34(1):27.Google Scholar
30.Hartmann, A, Stapf, C, Hofmeister, C, et al.Determinants of neurological outcome after surgery for brain arteriovenous malformation. Stroke. 2000;31(10):23614.Google Scholar
31.Heros, RC, Korosue, K, Diebold, PM.Surgical excision of cerebral arteriovenous malformations: late results. Neurosurgery. 1990; 26(4):5708.Google Scholar
32.Pollock, BE, Flickinger, JC, Lunsford, LD, Maitz, A, Kondziolka, D.Factors associated with successful arteriovenous malformation radiosurgery. Neurosurgery. 1998;42(6):123947.Google Scholar
33.Schlienger, M, Atlan, D, Lefkopoulos, D, et al.Linac radiosurgery for cerebral arteriovenous malformations: results in 169 patients. Int J Radiat Oncol Biol Phys. 2000;46(5):113542.Google Scholar