Parenchymal Changes after Radiosurgery of Cerebral Arteriovenous Malformations

放射外科 医学 放射科 颅内动静脉畸形 动静脉畸形 磁共振成像 对比度(视觉) 核医学 放射治疗 脑血管造影 血管造影 人工智能 计算机科学
作者
F. Nataf,May Ghossoub,O. Missir,L Mérienne,F.-X. Roux,Jean-François Méder,D. Trystram,M. Schlienger,J J Merland,J P Chodkiewicz
出处
期刊:Stereotactic and Functional Neurosurgery [S. Karger AG]
卷期号:69 (1-4): 143-146 被引量:22
标识
DOI:10.1159/000099866
摘要

Radiosurgery of cerebral arteriovenous malformations (cAVM) can induce parenchymal changes seen on MRI. The purpose of this study was to classify these changes and to correlate them to clinical outcome and obliteration of the cAVM. 142 patients with cAVM underwent radiosurgery with a linear accelerator between 1994 and 1995. 60 clinical records, MR images, and postradiation angiograms were reviewed. Signal abnormalities and contrast enhancements were correlated with clinical deterioration and size decrease of the AVM. The Spearman nonparametric test was used for statistical correlation. MR findings allowed to differentiate between four grades: grade 1 = no parenchymal changes; grade 2 = hypersignal on T2-weighted sequences, grade 3 = grade 2 + contrast enhancement on T1-weighted sequences; grade 4 = grade 3 + central hyposignal (necrosis-like) + peripheral hyposignal surrounding the AVM on T1-weighted sequences. Grade 4 was significantly related (p < 0.001) to clinical deterioration (deficit, seizures, increased intracranial pressure). All grade 4 patients, and only them, had clinical symptoms. Most of these symptoms regressed with corticoid treatment. Grade 4 was also related to the proportion of obliteration of the cAVM at 1 year after radiotherapy: mean proportion of obliteration was 12.5% for grade 2, 25% for grade 3 and 82.2% for grade 4 (p < 0.01). The size of T2-weighted MR images was related to clinical symptom appearance (p < 0.001). Finally, contrast enhancement was not predictive of the occurrence of the clinical symptoms. This proposed classification allows one to differentiate between the various MR images, and seems to predict clinical complications and response to radiotherapy of the cAVM.

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