Citations

Background Initial studies investigating correlations between stroke etiology and clot composition are conflicting and do not account for clot size as determined by area. Radiological studies have shown that cardioembolic strokes are associated with shorter clot lengths and lower clot burden than non-cardioembolic clots. Objective To report the relationship between stroke etiology, extracted clot area, and histological composition at each procedural pass. Methods As part of the multi-institutional RESTORE Registry, the Martius Scarlett Blue stained histological composition and extracted clot area of 612 per-pass clots retrieved from 441 patients during mechanical thrombectomy procedures were quantified. Correlations with clinical and procedural details were investigated. Results Clot composition varied significantly with procedural passes; clots retrieved in earlier passes had higher red blood cell content (H4=11.644, p=0.020) and larger extracted clot area (H4=10.730, p=0.030). Later passes were associated with significantly higher fibrin (H4=12.935, p=0.012) and platelets/other (H4=15.977, p=0.003) content and smaller extracted clot area. Large artery atherosclerotic (LAA) clots were significantly larger in the extracted clot area and more red blood cell-rich than other etiologies in passes 1–3. Cardioembolic and cryptogenic clots had similar histological composition and extracted clot area across all procedural passes. Conclusion LAA clots are larger and associated with a large red blood cell-rich extracted clot area, suggesting soft thrombus material. Cardioembolic clots are smaller in the extracted clot area, consistent in composition and area across passes, and have higher fibrin and platelets/other content than LAA clots, making them stiffer clots. The per-pass histological composition and extracted clot area of cryptogenic clots are similar to those of cardioembolic clots, suggesting similar formation mechanisms.

Abstract Background: Most clots retrieved from patients with acute ischemic stroke are ‘red’ in color and are predominantly composed of red blood cells and fibrin. ‘White’ clots represent a less common entity and their histological composition is largely unknown.The aim of this study was to investigate the composition, imaging and procedural characteristics of ‘white’ clots retrieved by mechanical thrombectomy.Materials and Methods:Nineteen ‘white’ thrombi selected by visual inspection from 293 cases were collected as part of the multi-institutional RESTORE registry. Non-contrast computed tomography (NCCT), histological and immunohistochemical analyses were performed. Components were quantified using Orbit Image Analysis.Results:Quantification of Martius Scarlett Blue stain identified platelets/other as the major component in ‘white’ clots’ (63%) followed by fibrin (26%), red blood cells (7%) and white blood cells (4%). ‘White’ clots presented significantly more platelets/other and less red blood cells compared to the ‘red’ clots which showed a mean of 23% and 44%, respectively. The mean platelet (CD42b) content in ‘white’ clots was 43%; von Willebrand Factor (vWF) mean expression was 38%.Collagen and calcification were associated in one case. Fatty acid binding protein 4 was expressed in two cases.‘White’ clots were also significantly smaller (9.5 versus 12 mm) and less hyperdense (52 versus 61 Hounsfield Units) on NCCT compared to the other cases.Conclusions:‘White’ clots represented 6% of our cohort and are platelet and vWF-rich. Calcification, collagen and adipocytes were found occasionally. ‘White’ clots differ from other clots in composition, size and density on NCCT.

Introduction: The composition of acute ischemic stroke (AIS) blood clots can impact their successful removal via endovascular therapy. Identification of the clot composition prior to endovascular treatment may influence the optimal treatment strategy. In this study, we aimed to investigate the relationship between the Hounsfield Unit intensity on CT and machine-learned characterization of clot composition. Methods: Prior to endovascular treatment, each patient had a non-contrast CT performed. Histopathological analysis of the clots was performed and clot composition was quantified via standard thresholding techniques using Adobe Photoshop. In addition, following representative cell labeling by an expert pathologist, image segmentation algorithms (Orbital Image Analysis, Actelion Ltd.) were trained on each case to quantify composition by cell type. The clots were categorized into 3 groups: red blood cell (RBC) dominant (>50%), RBC proportion equal to fibrin and fibrin dominant (>50%). Correlations between clot composition and Hounsfield Units (HU) density on CT were assessed. A positive Hyperdense Artery Sign was defined as ≥50 HU. Results: Twenty patients were included in the study. There was a significant correlation between clots quantified using Adobe Photoshop Image-Pro and Orbit image analysis ( ρ = 0.837, p < 0.001). A significant relationship was found between clot composition and the presence of a HAS sign, ( X 2 (2) = 6.496, p = 0.039). There is a significant positive correlation between percentage of RBC in the clot and the presence of a HAS sign ( ρ = 0.632, p = 0.002**). There is also a significant positive correlation between the presence of fibrin-rich and the absence of a HAS sign ( ρ = 0.600, p = 0.004**). Conclusion: Machine learning software can accurately quantify AIS clot composition. The Hounsfield unit density of an AIS clot on a non-contrast CT correlates with the composition of the clot. Measuring the HU of the clot on CT prior to endovascular intervention may inform the clinician of the clot type and help to determine the most appropriate treatment strategy for that clot.

AbstractThe treatment of peripheral nerve injuries remains a major problem worldwide despite the availability of a number of Food and Drug Administration (FDA) approved devices which fail to match the efficacy of autografts. Different strategies are used to improve regeneration and functional recovery using biomaterial nerve conduits. However, there is little investigation of the transcriptomic and proteomic changes which occur as a result of these interventions, particularly regarding transection injuries. This study explores differences between autograft‐mediated repair and conduit‐material‐mediated repair of peripheral nerve injuries to understand fundamental differences in their repair mechanisms at the proteomics level at the proximal, middle, and distal components in the early stages of repair. Pathway analysis demonstrates that each material selectively activates different regenerative pathways and alters different biological functions spatially throughout the biomaterial conduits. The analysis highlights some of the deficiencies in conduit‐mediated repair in comparison to autograft (e.g., recycling of myelin and cholesterol, reduction in reactive oxygen species, and higher expression of regenerative proteins). These findings thus suggest that by supplementing the expression of these proteins on the biomaterial of choice, this study can potentially attain regeneration equivalent to autograft. This approach paves the way for incorporating future biomaterial‐specific functionalities in nerve guidance conduits.

Microsurgical techniques for the treatment of large peripheral nerve injuries (such as the gold standard autograft) and its main clinically approved alternative—hollow nerve guidance conduits (NGCs)—have a number of limitations that need to be addressed. NGCs, in particular, are limited to treating a relatively short nerve gap (4 cm in length) and are often associated with poor functional recovery. Recent advances in biomaterials and tissue engineering approaches are seeking to overcome the limitations associated with these treatment methods. This review critically discusses the advances in biomaterial-based NGCs, their limitations and where future improvements may be required. Recent developments include the incorporation of topographical guidance features and/or intraluminal structures, which attempt to guide Schwann cell (SC) migration and axonal regrowth towards their distal targets. The use of such strategies requires consideration of the size and distribution of these topographical features, as well as a suitable surface for cell–material interactions. Likewise, cellular and molecular-based therapies are being considered for the creation of a more conductive nerve microenvironment. For example, hurdles associated with the short half-lives and low stability of molecular therapies are being surmounted through the use of controlled delivery systems. Similarly, cells (SCs, stem cells and genetically modified cells) are being delivered with biomaterial matrices in attempts to control their dispersion and to facilitate their incorporation within the host regeneration process. Despite recent advances in peripheral nerve repair, there are a number of key factors that need to be considered in order for these new technologies to reach the clinic.

In the absence of donor tissues, conduits are needed for axons to regenerate across nerve defects, yet single-channel conduits may result in axonal dispersion, and multichannel synthetic polymer conduits have failed due to dimensional instability. The goal of this study was to create a robust collagen-based nerve conduit with multiple submillimeter-diameter channels to facilitate nerve guidance. Toward this goal, we have developed a novel multistep molding technique to create single-, four-, and seven-channel conduits from collagen and examined the effects of crosslinking with 0–60 mM (1-ethyl-3-(3-dimethylaminopropyl) carbodiimide [EDC] in N -hydroxysuccinimide) on geometric, enzymatic, and thermal stability, mechanical properties, and cellular behavior. Multichannel collagen conduits crosslinked with 30 mM EDC and 10 mM N -hydroxysuccinimide demonstrated low degradation rate (∼10% at 2 days), high shrinkage temperature (>75°C), and constant channel morphology out to 30 days in saline. Neurite outgrowth remained unaffected from cultured dorsal root ganglia explants seeded on collagen scaffolds with up to 30 mM EDC crosslinking. Compared with single-channel conduits, multichannel collagen conduits showed superior structural compressive, tensile, and bending stiffness. Taken together, these results suggest that the crosslinked multichannel collagen conduits possess favorable material and mechanical properties for nerve regeneration applications.