Histologic features of acute thrombi retrieved from stroke patients during mechanical reperfusion therapy.

BACKGROUND: The histologic features of thrombus may differ according to the stroke subtypes. However, in acute reperfusion therapy, fibrin-specific thrombolytics are used based on the assumption that all thrombi are alike. AIMS: The histologic characteristics of thrombi were compared between patients with different stroke etiologies. METHODS: Between April 2010 and March 2012, we analyzed thrombi retrieved from acute stroke patients during mechanical thrombectomy. All thrombi were analyzed using component-specific stains such as Martius scarlet blue for fibrins and immunostaining with CD42b antibody for platelets. The stroke subtypes were determined based on the Trial of ORG 10172 in Acute Stroke Treatment classification. RESULTS: Among 36 patients, 22 were diagnosed with cardioembolism, 8 with atherothrombosis, and 6 with undetermined etiology. In arteriogenic thrombi, red blood cells were most abundant (56.9 ± 12.2%), and the platelets covered the fibrin layers or were localized at the edge or periphery of the thrombus. In cardiogenic thrombi, fibrin was most abundant (39.5 ± 13.5%), and platelets were clustered within the rich fibrin. Red blood cells proportion was greater in arteriogenic thrombi than in cardiogenic thrombi (p < 0.001), whereas fibrin proportion was greater in cardiogenic thrombi than in arteriogenic thrombi (p = 0.003). Of six patients with undetermined etiology, the thrombi in five showed histologic features and composition similar to that of cardiogenic thrombi. CONCLUSIONS: Acute thrombi showed different histologic features according to the stroke etiology. The distribution of platelets and proportion of red blood cells and fibrin were major distinguishing factors between stroke subtypes.

To do or not to do; dilemma of intra-arterial revascularization in acute ischemic stroke.

BACKGROUND: There has still been lack of evidence for definite imaging criteria of intra-arterial revascularization (IAR). Therefore, IAR selection is left largely to individual clinicians. In this study, we sought to investigate the overall agreement of IAR selection among different stroke clinicians and factors associated with good agreement of IAR selection. METHODS: From the prospectively registered data base of a tertiary hospital, we identified consecutive patients with acute ischemic stroke. IAR selection based on the provided magnetic resonance imaging (MRI) results and clinical information were independently performed by 5 independent stroke physicians currently working at 4 different university hospitals. MRI results were also reviewed by 2 independent experienced neurologists blinded to clinical data and physicians' IAR selection. The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) was calculated on initial DWI and MTT. We arbitrarily used ASPECTS differences between DWI and MTT (D-M ASPECTS) to quantitatively evaluate mismatch. RESULTS: The overall interobserver agreement of IAR selection was fair (kappa = 0.398). In patients with DWI-ASPECTS >6, interobserver agreement was moderate to substantial (0.398-0.620). In patients with D-M ASPECTS >4, interobserver agreement was moderate to almost perfect (0.532-1.000). Patients with higher DWI or D-M ASPECTS had better agreement of IAR selection. CONCLUSION: Our study showed that DWI-ASPSECTS >6 and D-M ASPECTS >4 had moderate to substantial agreement of IAR selection among different stroke physicians. However, there is still poor agreement as to whether IAR should not be performed in patients with lower DWI and D-M ASPECTS.