Nidus Compacity Determined by Semi-Automated Segmentation is a Strong Quantitative Predictor of Brain Arterio-Venous Malformation Cure.

BACKGROUND AND OBJECTIVE: A compact nidus is a well-known feature of good outcome after treatment in brain arteriovenous malformations (bAVM). This item, included in the "Supplementary AVM grading system" by Lawton, is subjectively evaluated on DSA. The present study aimed to assess whether quantitative nidus compacity along with other angio-architectural bAVM features were predictive of angiographic cure or the occurrence of procedure-related complications. MATERIALS AND METHODS: Retrospective analysis of 83 patients prospectively collected data base between 2003 to 2018 having underwent digital subtraction 3D rotation angiography (3D-RA) for pre-therapeutic assessment of bAVM. Angio-architectural features were analyzed. Nidus compacity was measured with a dedicated segmentation tool. Univariate and multivariate analyses were performed to test the association between these factors and complete obliteration or complication. RESULTS: Compacity was the only significant factor associated with complete obliteration in our predictive model using logistic multivariate regression; the area under the curve for compacity predicting complete obliteration was excellent (0.82; 95% CI 0.71-0.90; p < 0.0001). The threshold value maximizing the Youden index was a compacity > 23% (sensitivity 97%; specificity 52%; 95% CI 85.1-99.9; p = 0.055). No angio-architectural factor was associated with the occurrence of a complication. CONCLUSION: Nidus high compacity quantitatively measured on 3D-RA, using a dedicated segmentation tool is predictive of bAVM cure. Further investigation and prospective studies are warranted to confirm these preliminary results.

Development of an angiogenesis animal model featuring brain arteriovenous malformation histological characteristics.

BACKGROUND: Angiogenesis has a key role in the formation and evolution of brain arteriovenous malformations (AVMs). Numerous models have been developed aiming to recreate configuration of brain AVMs. OBJECTIVE: To develop an animal model sharing the same pathological characteristics as human brain AVMs. MATERIALS AND METHODS: Ten pigs were divided into two groups. Five animals underwent endovascular left common carotid artery (CCA) and external carotid artery (ECA) occlusion and five animals served as controls. DSA, associated with 3D-rotational angiography, was performed at day 0 and at 3 months in both groups. The volume of the retia was calculated. Vascular endothelial growth factor (VEGF)-A serum levels were measured in both groups at the same time intervals. Finally, the animals were sacrificed at 3 months and the retia were harvested for pathological and immunohistochemistry examinations. RESULTS: At 3 months, a significantly higher rete volume was seen in group A than in group B (2.92±0.33 mL vs 1.87±0.69 mL, respectively; p=0.016). There was a trend for increased VEGF-A levels in group A at 3 months. In the occlusion group, histological findings showed significant reduction of media thickness and disrupted internal elastic lamina; immunohistochemistry findings showed strong reactivity for VEGF receptors and interleukin 6. CONCLUSIONS: Unilateral endovascular occlusion of the CCA-ECA results in angiogenesis triggering of the rete mirabile with both significant augmentation of the rete volume and histological evidence of pro-angiogenic stimulation.

Interest of convex spherical anamorphosis in better understanding of brain AVMs' angioarchitecture.

INTRODUCTION: Convex spherical anamorphosis is a barrel distortion that consists of the application of a plane surface on a convex hemisphere. Applied in vascular imaging of brain arteriovenous malformations (bAVMs), this deformation may help to 'spread' the nidus and surrounding vessels (arteries/veins) and thus to differentiate the different components of bAVMs more accurately. METHODS: The imaging data from 15 patients (8 male, 7 female; 14 supratentorial bAVMs, 1 infratentorial) were used to test the algorithm. The algorithm was applied to three-dimensional rotational angiography (3D-RA) volume rendering reconstructions in anteroposterior, lateral and oblique views and compared with regular 3D-RA and DSA. Arterial feeder and draining vein count and quality visualization of the main draining vein and intranidal aneurysms were compared between the three imaging techniques. RESULTS: Anamorphosis was able to depict more arterial feeders than 3D-RA alone (p=0.027). There was no statistically significant difference between 6 f/s DSA and anamorphosis for arterial feeder count. No difference was observed in draining vein count between the three imaging modalities. Visualization of the precise origin of the main draining vein was considered to be good in 67% of the cases with anamorphosis versus 47% and 33% for 6 f/s DSA and 3D-RA alone, respectively. Intranidal aneurysms were accurately depicted by anamorphosis (2 cases), whereas 6 f/s DSA and 3D-RA showed doubtful images in one and two additional cases, respectively, which were finally confirmed as focal venous ectasias on supraselective injection. CONCLUSIONS: Anamorphosis can help to visualize more precisely the main draining vein origin of the bAVM and depict more accurately intranidal aneurysms.

Elaboration of a semi-automated algorithm for brain arteriovenous malformation segmentation: initial results.

OBJECTIVES: The purpose of our study was to distinguish the different components of a brain arteriovenous malformation (bAVM) on 3D rotational angiography (3D-RA) using a semi-automated segmentation algorithm. MATERIALS AND METHODS: Data from 3D-RA of 15 patients (8 males, 7 females; 14 supratentorial bAVMs, 1 infratentorial) were used to test the algorithm. Segmentation was performed in two steps: (1) nidus segmentation from propagation (vertical then horizontal) of tagging on the reference slice (i.e., the slice on which the nidus had the biggest surface); (2) contiguity propagation (based on density and variance) from tagging of arteries and veins distant from the nidus. Segmentation quality was evaluated by comparison with six frame/s DSA by two independent reviewers. Analysis of supraselective microcatheterisation was performed to dispel discrepancy. RESULTS: Mean duration for bAVM segmentation was 64 ± 26 min. Quality of segmentation was evaluated as good or fair in 93% of cases. Segmentation had better results than six frame/s DSA for the depiction of a focal ectasia on the main draining vein and for the evaluation of the venous drainage pattern. CONCLUSION: This segmentation algorithm is a promising tool that may help improve the understanding of bAVM angio-architecture, especially the venous drainage. KEY POINTS: • The segmentation algorithm allows for the distinction of the AVM's components • This algorithm helps to see the venous drainage of bAVMs more precisely • This algorithm may help to reduce the treatment-related complication rate.