Shape memory polymer (SMP) foam‐coated coils (FCCs) are new embolic coils coated with porous SMP designed to expand for increased volume filling and enhanced healing after implantation. The purpose of this study was to compare chronic aneurysm healing after treatment with SMP FCCs to bare platinum coil (BPC) controls in the rabbit elastase aneurysm model. BPCs or SMP FCCs were implanted in rabbit elastase‐induced aneurysms for follow‐up at 30 days (n = 10), 90 days (n = 5), and 180 days (n = 12 for BPCs; n = 14 for SMP FCCs). Aneurysm occlusion and histologic healing, including a qualitative healing score, neointima thickness, collagen deposition, and inflammation were compared between the two groups. The mean neointima thickness was significantly greater in groups treated with SMP FCCs for all three time points. Histologic healing scores and collagen deposition quantification suggested that aneurysms treated with SMP FCCs experience more complete healing of the dome by 90 days, but the differences were not statistically significant. More progressive occlusion and recanalization were observed in aneurysms treated with SMP FCCs, but neither difference was statistically significant. Additionally, the SMP foam used in the FCCs was found to degrade faster in the rabbit elastase model than expected based on previous studies in a porcine sidewall aneurysm model. This study suggests that SMP FCCs can promote neointima formation along the aneurysm neck, and may lead to more complete healing of the dome and neck. These findings indicate potential benefits of this device for aneurysm occlusion procedures. © 2019 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B:2466–2475, 2019.

Introduction The biological mechanisms leading to aneurysm healing or rare complications such as delayed aneurysm ruptures after flow-diverter placement remain poorly understood. We used RNA-sequencing (RNA-seq) following implantation of coils or flow-diverters in elastase aneurysms in rabbits to identify genes and pathways of potential interest. Methods Aneurysms were treated with coils (n=5) or flow-diverters (n=4) or left untreated for controls (n=6). Messenger RNA were isolated from the aneurysms at 4 weeks following treatment. RNA samples were processed using RNA-seq technology and analyzed using the Ingenuity Pathway Analysis tool. Results Using RNA-seq for coiled versus untreated aneurysms, 464/9990 genes (4.6%) were differentially expressed (58 down-regulated, 406 up-regulated). Comparing flow-diverter versus untreated aneurysms, 177/10041 (1.8%) genes were differentially expressed (8 down-regulated, 169 up-regulated). Comparing flow-diverter versus coiled aneurysms, 13/9982 (0.13%) genes were differentially expressed (8 down-regulated, 5 up-regulated). Keratin 8 was overexpressed in flow-diverters versus coils. This molecule may potentially play a critical role in delayed ruptures due to plasmin production. We identified overregulation of apelin in flow-diverters supporting the preponderance of endothelialization, whereas we found overexpression of molecules implicated in wound healing (Dectin1 and HHIP) for coiled aneurysms. Furthermore, we identified metallopeptidases 1, 12 and 13 as overexpressed in coiled versus untreated aneurysms. Conclusions We observed different physiopathologic responses after endovascular treatment with different devices. Flow-diverters promote endothelialization but express molecules that could potentially explain the rare delayed ruptures. Coils promote wound healing and express genes potentially implicated in recurrence of coiled aneurysms.

Background Intra-procedural characterization of stroke thromboemboli might guide mechanical thrombectomy (MT) device choice to improve recanalization rates. Electrochemical impedance spectroscopy (EIS) has been used to characterize various biological tissues in real time but has not been used in thrombus. Objective To perform a feasibility study of EIS analysis of thrombi retrieved by MT to evaluate: (1) the ability of EIS and machine learning to predict red blood cell (RBC) percentage content of thrombi and (2) to classify the thrombi as “RBC-rich” or “RBC-poor” based on a range of cutoff values of RBC. Methods ClotbasePilot was a multicentric, international, prospective feasibility study. Retrieved thrombi underwent histological analysis to identify proportions of RBC and other components. EIS results were analyzed with machine learning. Linear regression was used to evaluate the correlation between the histology and EIS. Sensitivity and specificity of the model to classify the thrombus as RBC-rich or RBC-poor were also evaluated. Results Among 514 MT,179 thrombi were included for EIS and histological analysis. The mean composition in RBC of the thrombi was 36% ± 24. Good correlation between the impedance-based prediction and histology was achieved (slope of 0.9, R2  =  0.53, Pearson coefficient  =  0.72). Depending on the chosen cutoff, ranging from 20 to 60% of RBC, the calculated sensitivity for classification of thrombi ranged from 77 to 85% and the specificity from 72 to 88%. Conclusion Combination of EIS and machine learning can reliably predict the RBC composition of retrieved ex vivo AIS thrombi and then classify them into groups according to their RBC composition with good sensitivity and specificity.

Introduction: Numerous endovascular tools exist for the treatment of intracranial aneurysms with an increased use of flow-diverting devices in recent years. However, the biological mechanisms leading to aneurysm healing or potential complications such as delayed aneurysm ruptures after flow-diverter treatment are not yet well established. We used RNA-sequencing technology to identify genes relevant for biological impact of coils and flow-diverters in elastase-induced saccular aneurysms in rabbits and to identify genes and pathways of potential clinical interest. Methods: Elastase-induced saccular aneurysms were created at the origin of the right common carotid artery. Aneurysms were treated with coils (n=5) or flow-diverters (Pipeline Embolic Device, Covidien, CA) (n=4). Untreated aneurysms (n=6) were used as controls. Messenger RNA and microRNA were isolated from the aneurysms at 4 weeks following treatment. RNA samples were processed using RNA-seq technology. RNA-seq results were analyzed by using the Ingenuity Pathway Analysis tool. Results: Using RNA sequencing for coiled versus non-treated aneurysms, 464 genes were found to be differentially expressed with 58 genes down regulated and 406 genes up regulated. Using the same criteria for the flow-diverter treated aneurysms, 177 genes were found to be differentially expressed with 8 genes down regulated and 169 genes up regulated. Comparing coiled versus flow-diverter treated aneurysms, 13 genes were significantly differentially expressed with 8 down regulated and 5 up regulated genes. Genes identified with the highest interest for aneurysms healing were fibroblast growth factor-23, matrix metalloproteinases (MMP)-1, Scinderin and Basigin (implicated in MMP-2 and MMP-9 regulation). Pathway analysis associated these genes with inflammatory response, cellular migration, and coagulation, among other functions. Conclusions: RNA-sequencing analysis of rabbit aneurysms revealed differential regulation of some key pathways, including inflammation and cellular migration that could explain the different biological mechanisms implicated in aneurysms healing either after coiling or flow-diverter treatments and could explain potential device-related complications.