Purpose: Neutrophils contribute to thrombosis. However, there is limited information on the temporal course of neutrophil recruitment in thrombosis, the contribution of neutrophils to thrombus growth, and the characteristics of stroke patients with neutrophil-rich thrombi. Materials and Methods: After inducing carotid artery thrombosis in Institute of Cancer Research mice using ferric chloride, aged thrombi were produced by ligating the distal portion of the carotid artery in mice for 0.5, 1, 2, 3, 6, or 24 h. For thrombus analysis in stroke patients, we used registry data and thrombi that were obtained during intra-arterial thrombectomy. Immunohistochemistry was performed to determine thrombus composition. Results: In the thrombi of 70 mice, Ly6G positive cell counts (neutrophils) and histone H3-positive cell counts increased in a time-dependent manner (both p<0.001). Ly6G-positive cell count was strongly correlated with histone H3-positive cell counts (r=0.910, p<0.001), but not with thrombus size (p=0.320). In 75 stroke patients, atrial fibrillation and cardioembolism were more frequent in the higher neutrophil group (32/37, 86.5%) than in the lower neutrophil group (19/38, 50%) (p=0.002). The median erythrocyte fraction was higher [52.0 (interquartile range 39.9−57.8)] in the higher neutrophil group than in the lower neutrophil group [40.3 (interquartile range 23.5−53.2)]. The fraction of neutrophils was positively correlated with that of erythrocytes (R=0.35, p=0.002). Conclusion Neutrophils were recruited and increased in arterial thrombosis in a time-dependent manner; however, they were not associated with the growth of formed thrombi. Neutrophil fractions in the thrombi of stroke patients appeared to be associated with atrial fibrillation and erythrocyte fraction.

Purpose: Neutrophils contribute to thrombosis. However, there is limited information on the temporal course of neutrophil recruitment in thrombosis, the contribution of neutrophils to thrombus growth, and the characteristics of stroke patients with neutrophil-rich thrombi. Materials and Methods: After inducing carotid artery thrombosis in Institute of Cancer Research mice using ferric chloride, aged thrombi were produced by ligating the distal portion of the carotid artery in mice for 0.5, 1, 2, 3, 6, or 24 h. For thrombus analysis in stroke patients, we used registry data and thrombi that were obtained during intra-arterial thrombectomy. Immunohistochemistry was performed to determine thrombus composition. Results: In the thrombi of 70 mice, Ly6G positive cell counts (neutrophils) and histone H3-positive cell counts increased in a time-dependent manner (both p<0.001). Ly6G-positive cell count was strongly correlated with histone H3-positive cell counts (r=0.910, p<0.001), but not with thrombus size (p=0.320). In 75 stroke patients, atrial fibrillation and cardioembolism were more frequent in the higher neutrophil group (32/37, 86.5%) than in the lower neutrophil group (19/38, 50%) (p=0.002). The median erythrocyte fraction was higher [52.0 (interquartile range 39.9−57.8)] in the higher neutrophil group than in the lower neutrophil group [40.3 (interquartile range 23.5−53.2)]. The fraction of neutrophils was positively correlated with that of erythrocytes (R=0.35, p=0.002). Conclusion Neutrophils were recruited and increased in arterial thrombosis in a time-dependent manner; however, they were not associated with the growth of formed thrombi. Neutrophil fractions in the thrombi of stroke patients appeared to be associated with atrial fibrillation and erythrocyte fraction.

Purpose: Convolutional neural networks (CNNs) have rapidly emerged as one of the most promising artificial intelligence methods in the field of medical and dental research. CNNs can provide an effective diagnostic methodology allowing for the detection of early-staged diseases. Therefore, this study aimed to evaluate the performance of a deep CNN algorithm for apical lesion segmentation from panoramic radiographs. Materials and Methods: A total of 1000 panoramic images showing apical lesions were separated into training (n=800, 80%), validation (n=100, 10%), and test (n=100, 10%) datasets. The performance of identifying apical lesions was evaluated by calculating the precision, recall, and F1-score. Results: In the test group of 180 apical lesions, 147 lesions were segmented from panoramic radiographs with an intersection over union (IoU) threshold of 0.3. The F1-score values, as a measure of performance, were 0.828, 0.815, and 0.742, respectively, with IoU thresholds of 0.3, 0.4, and 0.5. Conclusion This study showed the potential utility of a deep learning-guided approach for the segmentation of apical lesions. The deep CNN algorithm using U-Net demonstrated considerably high performance in detecting apical lesions.

Purpose: The ferric chloride (FeCl3)-induced thrombosis model is widely used for thrombosis research. However, it lacks standardization with uncertainty in the exact mechanism of thrombosis. This study aimed to characterize thrombus formation in a mouse model. Materials and Methods: We investigated thrombus formation and stability using various FeCl3 concentrations (10%, 20%, 30%, 40%, and 50%, w/v) in carotid arteries of the Institute of Cancer Research (ICR) and C57BL/6N mice using the FeCl3-induced thrombosis model. We also investigated thrombus histopathology using immunohistochemistry and electron microscopy. Results: Higher FeCl3 concentrations induced dose-dependent, faster, larger, and more stable thrombus formation in both strains of mice. However, the ICR mice showed better dose-responses in thrombus formation and stability compared to the C57BL/6N mice. Thrombi were fibrin- and platelet-rich without significant changes across FeCl3 concentrations. However, the content of red blood cells (RBCs) increased with increasing FeCl3 concentrations (p for trend <0.001) and inversely correlated with time to occlusion (r=-0.65, p<0.001). While platelets and fibrin were evenly distributed over the thrombus, RBCs were predominantly located near the FeCl3 treatment area. Transmission electron microscopy showed that RBCs attached to and were surrounded by aggregates of degranulated platelets, suggesting their potential role in platelet activation. Conclusion Faster and larger thrombus formation is induced in a dose-dependent manner by a wide range of FeCl3 concentrations, but the stable thrombus formation requires higher FeCl3 concentrations. Mouse strain affects thrombus formation and stability. RBCs and their interaction with platelets play a key role in the acceleration of FeCl3-induced thrombosis.

Background: and Purpose Long-term changes in post-stroke depression (PSD), post-stroke emotional incontinence (PSEI), and post-stroke anger (PSA) have rarely been studied. Methods: This is a sub-study of EMOTION, a randomized, placebo-controlled trial, that examined the efficacy of escitalopram on PSD, PSEI, and PSA in patients with stroke. We interviewed patients at the long-term period (LTP) using predefined questionnaires: Montgomery-Åsberg depression rating scale (MADRS) for PSD, modified Kim’s criteria for PSEI, and Spielberger trait anger scale for PSA. Additionally, the ENRICHD Social Support Instrument (ESSI) for the social support state and the modified Rankin Scale (mRS) were measured. We investigated the changes in and factors behind PSD, PSEI, and PSA at LTP. Results: A total of 222 patients were included, and the median follow-up duration was 59.5 months (interquartile range, 50 to 70). Compared to the data at 6 months post-stroke, the prevalence of PSEI (11.7% at 6 months, 6.3% at LTP; P=0.05) and mean anger score (21.62, 16.24; P<0.01) decreased, while the prevalence of PSD (35.6%, 44.6%; P=0.03) and mean MADRS (6.16, 8.67; P<0.01) increased at LTP. ESSI was associated with PSD and PSA, but not with PSEI. The effect of the baseline National Institutes of Health Stroke Scale score on PSD decreased over time. The effect of low social support on PSD was greater than that of mRS at LTP. Conclusions The prevalence and degree of PSD significantly increased, while those of PSEI and PSA decreased at LTP. PSD in this stage appeared to be more closely associated with a lack of social support than patients' physical disabilities.

Background: and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion. Methods: Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization. Results: Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032). Conclusions The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.

Background: and Purpose Long-term changes in post-stroke depression (PSD), post-stroke emotional incontinence (PSEI), and post-stroke anger (PSA) have rarely been studied. Methods: This is a sub-study of EMOTION, a randomized, placebo-controlled trial, that examined the efficacy of escitalopram on PSD, PSEI, and PSA in patients with stroke. We interviewed patients at the long-term period (LTP) using predefined questionnaires: Montgomery-Åsberg depression rating scale (MADRS) for PSD, modified Kim’s criteria for PSEI, and Spielberger trait anger scale for PSA. Additionally, the ENRICHD Social Support Instrument (ESSI) for the social support state and the modified Rankin Scale (mRS) were measured. We investigated the changes in and factors behind PSD, PSEI, and PSA at LTP. Results: A total of 222 patients were included, and the median follow-up duration was 59.5 months (interquartile range, 50 to 70). Compared to the data at 6 months post-stroke, the prevalence of PSEI (11.7% at 6 months, 6.3% at LTP; P=0.05) and mean anger score (21.62, 16.24; P<0.01) decreased, while the prevalence of PSD (35.6%, 44.6%; P=0.03) and mean MADRS (6.16, 8.67; P<0.01) increased at LTP. ESSI was associated with PSD and PSA, but not with PSEI. The effect of the baseline National Institutes of Health Stroke Scale score on PSD decreased over time. The effect of low social support on PSD was greater than that of mRS at LTP. Conclusions The prevalence and degree of PSD significantly increased, while those of PSEI and PSA decreased at LTP. PSD in this stage appeared to be more closely associated with a lack of social support than patients' physical disabilities.

Background: and Purpose We aimed to develop a model predicting early recanalization after intravenous tissue plasminogen activator (t-PA) treatment in large-vessel occlusion. Methods: Using data from two different multicenter prospective cohorts, we determined the factors associated with early recanalization immediately after t-PA in stroke patients with large-vessel occlusion, and developed and validated a prediction model for early recanalization. Clot volume was semiautomatically measured on thin-section computed tomography using software, and the degree of collaterals was determined using the Tan score. Follow-up angiographic studies were performed immediately after t-PA treatment to assess early recanalization. Results: Early recanalization, assessed 61.0±44.7 minutes after t-PA bolus, was achieved in 15.5% (15/97) in the derivation cohort and in 10.5% (8/76) in the validation cohort. Clot volume (odds ratio [OR], 0.979; 95% confidence interval [CI], 0.961 to 0.997; P=0.020) and good collaterals (OR, 6.129; 95% CI, 1.592 to 23.594; P=0.008) were significant factors associated with early recanalization. The area under the curve (AUC) of the model including clot volume was 0.819 (95% CI, 0.720 to 0.917) and 0.842 (95% CI, 0.746 to 0.938) in the derivation and validation cohorts, respectively. The AUC improved when good collaterals were added (derivation cohort: AUC, 0.876; 95% CI, 0.802 to 0.950; P=0.164; validation cohort: AUC, 0.949; 95% CI, 0.886 to 1.000; P=0.036). The integrated discrimination improvement also showed significantly improved prediction (0.097; 95% CI, 0.009 to 0.185; P=0.032). Conclusions The model using clot volume and collaterals predicted early recanalization after intravenous t-PA and had a high performance. This model may aid in determining the recanalization treatment strategy in stroke patients with large-vessel occlusion.

Purpose: The ferric chloride (FeCl3)-induced thrombosis model is widely used for thrombosis research. However, it lacks standardization with uncertainty in the exact mechanism of thrombosis. This study aimed to characterize thrombus formation in a mouse model. Materials and Methods: We investigated thrombus formation and stability using various FeCl3 concentrations (10%, 20%, 30%, 40%, and 50%, w/v) in carotid arteries of the Institute of Cancer Research (ICR) and C57BL/6N mice using the FeCl3-induced thrombosis model. We also investigated thrombus histopathology using immunohistochemistry and electron microscopy. Results: Higher FeCl3 concentrations induced dose-dependent, faster, larger, and more stable thrombus formation in both strains of mice. However, the ICR mice showed better dose-responses in thrombus formation and stability compared to the C57BL/6N mice. Thrombi were fibrin- and platelet-rich without significant changes across FeCl3 concentrations. However, the content of red blood cells (RBCs) increased with increasing FeCl3 concentrations (p for trend <0.001) and inversely correlated with time to occlusion (r=-0.65, p<0.001). While platelets and fibrin were evenly distributed over the thrombus, RBCs were predominantly located near the FeCl3 treatment area. Transmission electron microscopy showed that RBCs attached to and were surrounded by aggregates of degranulated platelets, suggesting their potential role in platelet activation. Conclusion Faster and larger thrombus formation is induced in a dose-dependent manner by a wide range of FeCl3 concentrations, but the stable thrombus formation requires higher FeCl3 concentrations. Mouse strain affects thrombus formation and stability. RBCs and their interaction with platelets play a key role in the acceleration of FeCl3-induced thrombosis.