Investigation and Prediction of Nano-Silver Line Quality upon Various Process Parameters in Inkjet Printing Process Based on an Experimental Method.

As an emerging additive manufacturing technology, inkjet printing has been increasingly applied in microelectronics field. However, due to the impacting and rebounding behaviors of conductive ink droplets impinging onto flat substrates, it is challenging to fabricate conductive lines with desired quality, such as suitable line width and line thickness, and matching resistance when it is used for interconnecting multifarious electronic components if there is not a proper configuration of operating parameters. To address this research gap, this article aims to investigate the effect of process parameters on the quality of conductive lines, including the platform temperature, printing speed, number of layers, and delay time (droplet interarrival time), are selected to conduct a full factorial experiment. First, the approximate parameter ranges for ensuring the continuity of conductive lines are determined. Second, this study analyzes the interactive effect among process parameters on line quality. Third, an artificial neural network (ANN) is constructed to predict the quality of printed lines. Results show that the line width does not increase with an increased number of layers, while the line thickness shows an increasing trend. The low resistance and high aspect ratio of printed line are achieved by printing 5 layers with the platform temperature of 70°C, the delay time of 12.2 ms, and the printing speed of 1139.39 mm/min. Moreover, the ANN model can be used to predict line width and line thickness with excellent performance, except for the resistance due to the irregular line edge. This study provides a useful guide for the selection of appropriate printing parameters to realize a diverse range of quality properties for 3D printed conductive lines in integrated circuits.

Performance Analysis of Time Series Deep Learning Models for Climate Prediction in Indoor Hydroponic Greenhouses at Different Time Intervals.

Indoor hydroponic greenhouses are becoming increasingly popular for sustainable food production. On the other hand, precise control of the climate conditions inside these greenhouses is crucial for the success of the crops. Time series deep learning models are adequate for climate predictions in indoor hydroponic greenhouses, but a comparative analysis of these models at different time intervals is needed. This study evaluated the performance of three commonly used deep learning models for climate prediction in an indoor hydroponic greenhouse: Deep Neural Network, Long-Short Term Memory (LSTM), and 1D Convolutional Neural Network. The performance of these models was compared at four time intervals (1, 5, 10, and 15 min) using a dataset collected over a week at one-minute intervals. The experimental results showed that all three models perform well in predicting the temperature, humidity, and CO2 concentration in a greenhouse. The performance of the models varied at different time intervals, with the LSTM model outperforming the other models at shorter time intervals. Increasing the time interval from 1 to 15 min adversely affected the performance of the models. This study provides insights into the effectiveness of time series deep learning models for climate predictions in indoor hydroponic greenhouses. The results highlight the importance of choosing the appropriate time interval for accurate predictions. These findings can guide the design of intelligent control systems for indoor hydroponic greenhouses and contribute to the advancement of sustainable food production.

Distinctive origin and evolution of endemic thistle of Korean volcanic island: Structural organization and phylogenetic relationships with complete chloroplast genome.

Unlike other Cirsium in Korea, Cirsium nipponicum (Island thistle) is distributed only on Ulleung Island, a volcanic island off the east coast of the Korean Peninsula, and a unique thistle with none or very small thorns. Although many researchers have questioned the origin and evolution of C. nipponicum, there is not much genomic information to estimate it. We thus assembled the complete chloroplast of C. nipponicum and reconstructed the phylogenetic relationships within the genus Cirsium. The chloroplast genome was 152,586 bp, encoding 133 genes consisting of 8 rRNA genes, 37 tRNA genes, and 88 protein-coding genes. We found 833 polymorphic sites and eight highly variable regions in chloroplast genomes of six Cirsium species by calculating nucleotide diversity, as well as 18 specific variable regions distinguished C. nipponicum from other Cirsium. As a result of phylogenetic analysis, C. nipponicum was closer to C. arvense and C. vulgare than native Cirsium in Korea: C. rhinoceros and C. japonicum. These results indicate that C. nipponicum is likely introduced through the north Eurasian root, not the mainland, and evolved independently in Ulleung Island. This study contributes to further understanding the evolutionary process and the biodiversity conservation of C. nipponicum on Ulleung Island.

Overexpression of Both Human Sodium Iodide Symporter (NIS) and BRG1-Bromodomain Synergistically Enhances Radioiodine Sensitivity by Stabilizing p53 through NPM1 Expression.

Improved therapeutic strategies are required to minimize side effects associated with radioiodine gene therapy to avoid unnecessary damage to normal cells and radiation-induced secondary malignancies. We previously reported that codon-optimized sodium iodide symporter (oNIS) enhances absorption of I-131 and that the brahma-associated gene 1 bromodomain (BRG1-BRD) causes inefficient DNA damage repair after high-energy X-ray therapy. To increase the therapeutic effect without applying excessive radiation, we considered the combination of oNIS and BRG1-BRD as gene therapy for the most effective radioiodine treatment. The antitumor effect of I-131 with oNIS or oNIS+BRD expression was examined by tumor xenograft models along with functional assays at the cellular level. The synergistic effect of both BRG1-BRD and oNIS gene overexpression resulted in more DNA double-strand breaks and led to reduced cell proliferation/survival rates after I-131 treatment, which was mediated by the p53/p21 pathway. We found increased p53, p21, and nucleophosmin 1 (NPM1) in oNIS- and BRD-expressing cells following I-131 treatment, even though the remaining levels of citrulline and protein arginine deiminase 4 (PAD4) were unchanged at the protein level.

Venous outflow-targeted coil embolization of direct carotid-cavernous fistulas.

BACKGROUND: Coil embolization is the mainstay treatment for carotid-cavernous fistulas (CCFs). However, few studies have reported entire occlusion of engorged veins to interrupt venous outflow. We report our experience with venous outflow-targeted coil embolization of direct CCFs. METHODS: We retrospectively reviewed all the patients diagnosed with direct CCFs treated with venous outflow-targeted coil embolization between November 2013 and February 2020. Venous outflow-targeted coil embolization of the CCFs was performed as follows. First, transarterial stent-assisted coil embolization of CCFs was performed. If the venous outflow to the engorged veins persisted after transarterial stent-assisted coil embolization, entire occlusion of the engorged veins and additional coil packing within the cavernous sinus were performed to interrupt the venous outflow. RESULTS: Ten patients had undergone venous outflow-targeted coil embolization, 6 women (60%) and 4 men (40%). Transfemoral cerebral angiography showed high-flow, direct CCFs in all the patients. Venous outflow occurred through the superior ophthalmic vein (SOV) in all the patients and was completely interrupted by the entire occlusion of the engorged veins with fibered coils. Three patients (30%) had undergone additional treatment in a supplementary manner because of recurrent symptoms (chemosis in 1 patient, faint tinnitus in 2 patients) in the early postprocedural period (1 to 4 weeks). All the symptoms were resolved on follow-up. No additional recurrence was found during follow-up (1-75 months). No peri-procedural complications were encountered. CONCLUSIONS: Venous outflow-targeted coil embolization of CCFs would be a safe and effective treatment method.

Clinical and Multimodal Imaging Features of Choroidal Nevi in the Korean Population.

Choroidal nevus is a precursor of choroidal melanoma. Multimodal imaging has become vital in predicting the malignant transformation of choroidal nevi. This single-center, retrospective study analyzed clinical characteristics and multimodal imaging findings of 168 choroidal nevi (164 patients) of the Korean population. The mean age at presentation was 50 ± 15 (range, 13−85) (women, n = 88 [53.7%]). Choroidal nevi (melanotic, n = 164 [97.6%]; postequatorial, n = 160 [95.2%]) were densely located between the optic disc and foveola (65.5%). The mean maximum linear basal diameter on fundus photography and thickness on optical coherence tomography were 2.97 ± 1.51 mm and 521 ± 297 µm, respectively. On ultrasonography, the mean thickness was 0.87 ± 0.60 mm. Choroidal nevi in women were associated with a higher maximum linear basal diameter (3.23 ± 1.65 vs. 2.68 ± 1.21 mm; p = 0.033) and age at diagnosis (52 ± 14 vs. 47 ± 16 years; p = 0.046) than those in men. Choroidal nevi with associated subretinal fluid (23.2%) presented with larger basal diameter (p = 0.049) and thickness on B-scan and optical coherence tomography (p < 0.001), but a younger age at diagnosis (p < 0.001) than those of dry nevi. This multimodal imaging study of choroidal nevi revealed some distinct characteristics, including topographic distribution, sex-related differences, and a younger age at diagnosis of nevi with fluid.

Glucose-Thymidine Ratio as a Metabolism Index Using 18F-FDG and 18F-FLT PET Uptake as a Potential Imaging Biomarker for Evaluating Immune Checkpoint Inhibitor Therapy.

Immune checkpoint inhibitors (ICIs) are widely used in cancer immunotherapy, requiring effective methods for response monitoring. This study evaluated changes in 18F-2-fluoro-2-deoxy-D-glucose (FDG) and 18F-fluorothymidine (FLT) uptake by tumors following ICI treatment as potential imaging biomarkers in mice. Tumor uptakes of 18F-FDG and 18F-FLT were measured and compared between the ICI treatment and control groups. A combined imaging index of glucose-thymidine uptake ratio (GTR) was defined and compared between groups. In the ICI treatment group, tumor growth was effectively inhibited, and higher proportions of immune cells were observed. In the early phase, 18F-FDG uptake was higher in the treatment group, whereas 18F-FLT uptake was not different. There was no difference in 18F-FDG uptake between the two groups in the late phase. However, 18F-FLT uptake of the control group was markedly increased compared with the ICI treatment group. GTR was consistently higher in the ICI treatment group in the early and late phases. After ICI treatment, changes in tumor cell proliferation were observed with 18F-FLT, whereas 18F-FDG showed altered metabolism in both tumor and immune cells. A combination of 18F-FLT and 18F-FDG PET, such as GTR, is expected to serve as a potentially effective imaging biomarker for monitoring ICI treatment.

A Machine Learning-Based Prognostic Model for the Prediction of Early Death After Traumatic Brain Injury: Comparison with the Corticosteroid Randomization After Significant Head Injury (CRASH) Model.

BACKGROUND: Machine learning (ML) has been used to predict the outcomes of traumatic brain injury. However, few studies have reported the use of ML models to predict early death. This study aimed to develop ML models for early death prediction and to compare performance with the corticosteroid randomization after significant head injury (CRASH) model. METHODS: We retrospectively reviewed traumatic brain injury patients between February 2017 and August 2021. The patients were randomly assigned to a training set and a test set. Predictive variables included clinical findings, laboratory values, and computed tomography findings. The ML models (random forest, support vector machine [SVM], logistic regression) were developed with the training set. The CRASH model is a prognostic model that was developed based on 10,008 patients included in the CRASH trial. The ML and CRASH models were applied to the test set to evaluate the performance. RESULTS: A total of 423 patients were included; 317 and 106 patients were randomly assigned to the training and test sets, respectively. The area under the curve was highest in the SVM (0.952, 95% confidence interval = 0.906-0.990) and lowest in the CRASH model (0.942, 95% confidence interval = 0.886-0.999). There were no significant differences between the area under the curves of the ML and CRASH models (P = 0.899 for random forest vs. the CRASH model, P = 0.760 for SVM vs. the CRASH model, P = 0.806 for logistic regression vs. the CRASH model). CONCLUSIONS: The ML models may have comparable performances compared to the CRASH model despite being developed with a smaller sample size.

Visualization of a novel human monoclonal antibody against Claudin-3 for targeting ovarian cancer.

INTRODUCTION: Claudin-3 (CLDN3), a tight junction protein, regulates cell-to-cell interactions in epithelial or endothelial cell sheets. During tumorigenesis, epithelial cells are transformed, and tumor cells proliferate through out-of-plane division, resulting in external exposure of CLDN3. Since alterations of CLDN3 expression are associated with cancer progression and higher CLDN3 expression is observed in most ovarian cancers, we tested the feasibility of using a CLDN3-specific antibody as a novel imaging tracer. MATERIALS AND METHODS: After reducing the CLDN3-specific antibodies to expose the -SH groups, click chemistry was used to conjugate the radioactive isotope 111In or the fluorescent protein FNR648. Human ovarian cancer OVCAR-3 and glioblastoma U87MG cells were used as CLDN3-positive and -negative cells. Flow cytometry was used to determine the CLDN3 IgG1 monoclonal antibody binding to both cell lines. OVCAR-3 cells were injected subcutaneously into mice to establish a xenograft model. 111In-labeled CLDN3 antibodies (370 kBq/50 µL) were administered intravenously into mice. After 24 h, organs, including tumors, were excised and measured with a γ-counter. Images were acquired with the IVIS optical imaging system and SPECT/CT. RESULTS: The labeling efficiency of NOTA-111In and antibody-NOTA-111In was 98.52% and 100%, respectively. FNR648-labeled CLDN3 antibody bound to the cell surface of OVCAR-3 and U87MG with 83.4% and 5.7% specificity, respectively. In OVCAR-3 tumor xenografted mice, CLDN3 IgG1 antibody showed a 2.5-fold higher tumor uptake (20.4 ± 7.4% ID/g) than human IgG1 (8.8 ± 2.6% ID/g) at 24 h post injection. The CLDN3 antibody fluorescence signal in the tumor peaked at 24 h post injection. CONCLUSION: We have successfully conjugated a radioisotope and a fluorescent protein with CLDN3-specific antibodies and verified the specific binding of labeled antibodies to OVCAR-3 tumors in a mouse model. Our data suggested that CLDN3-specific human monoclonal antibodies could be used as a useful theranostic tracer.

Association of aortic arch calcification on chest X-ray with procedural thromboembolism after coil embolization of cerebral aneurysm.

Procedural thromboembolism after coil embolization of a cerebral aneurysm can occur because of fragmented atherosclerotic plaques in the aortic arch. The purpose of this study was to investigate the relationship between aortic arch calcification (AoAC) observed using preoperative chest X-ray and procedural thromboembolisms after coil embolization of cerebral aneurysms. Between January 2019 and December 2020, 66 patients underwent coil embolization for cerebral aneurysms at our hospital. AoAC was assessed based on the presence of calcification using a preoperative chest X-ray. A procedural thromboembolism was defined as a new positive lesion on diffusion-weighted imaging within 7 days post-procedure. A procedural thromboembolism occurred in 34 (51.5%) patients. The thromboembolism was associated with AoAC (calcification [52.9%] vs. no calcification [6.3%], p < 0.001), aneurysm type (aneurysm with incorporated branches [63.9%] vs. sidewall aneurysm [36.7%], p = 0.047), and a longer procedural time (100.2 ± 34.1 min vs. 79.7 ± 24.9 min, p = 0.007). Multivariable logistic regression analysis showed that AoAC (adjusted odds ratio [OR], 23.566; adjusted 95% confidence interval [CI], 3.921-141.654; p = 0.001) and aneurysm type (adjusted OR, 5.501; adjusted 95% CI, 1.455-20.799; p = 0.012) were independent risk factors for procedural thromboembolism. AoAC on preoperative chest X-ray was associated with a significant increase in the procedural thromboembolism rate. Our study suggests that a procedural thromboembolism after coil embolization of cerebral aneurysms might result primarily from fragmented atherosclerotic plaques in the aortic arch. Preoperative chest X-ray could be a useful tool to predict the risk of procedural thromboembolisms.

Clinical Features and Multimodal Imaging Findings of Focal Scleral Nodule: Potential Association between Lesion Characteristics and Age.

OBJECTIVE: To describe the clinical course and anatomic features of focal scleral nodules (FSNs) based on their clinical characteristics and multimodal imaging findings and analyze their potential associations with the patient's age. DESIGN: Single-center, retrospective, observational case series. SUBJECTS: Twenty-three lesions of 23 patients with FSN. METHODS: Clinical characteristics were analyzed, and multimodal imaging was performed, including color fundus photography, OCT, fundus autofluorescence imaging, near-infrared imaging, B-scan ultrasonography, fluorescein and indocyanine green angiography, and OCT angiography of FSNs. MAIN OUTCOME MEASURES: Qualitative features, including the slope of anterior curvature (curvature of the dome shape is less than nodular curvature, which is less than volcanic curvature; i.e., volcanic curvature has the steepest slope), retinal pigment epithelium (RPE) status, and fluid compartments, were analyzed. Quantitative measurements, including maximum linear basal diameter, maximum horizontal length at the choroidoscleral border, maximum vertical length (Vmax) from the choroidoscleral border, and choroidal thickness, were analyzed. RESULTS: The mean age at presentation was 44 ± 17 years (range, 4-68 years), and the mean follow-up duration was 32.2 ± 29.5 months. On OCT, all lesions were confined to the sclera. Patients with volcanic or nodular anterior curvature were younger than those with the dome-shaped phenotype (35 ± 19 years vs. 52 ± 9 years, respectively; Mann-Whitney U test; P = 0.015). The Spearman rank correlation analysis displayed a significant correlation between age at diagnosis and Vmax (r = -0.466; P = 0.025). The Wilcoxon matched paired t test for the patients demonstrated a significant decrease in Vmax at the final follow-up visit (initial, 555 ± 228 µm vs. final, 517 ± 202 µm, respectively; P = 0.028). We observed subretinal fluid, intraretinal fluid, pigment epithelial detachment, and severe outer retinal atrophy in a relatively older population with sustained nodular or volcanic anterior curvature (age, 52 ± 7 years; range, 43-60 years). One lesion diagnosed in a patient aged 4 years demonstrated spontaneous regression. CONCLUSIONS: Young patients tended to have protruded lesions (high Vmax) with nodular or volcanic anterior curvature. Older patients manifested the dome-shaped phenotype, and those with sustained nodular or volcanic curvature tended to develop fluid compartments or atrophic changes of the overlying RPE and retina because of possible chronic mechanical compression. Thus, there could be a significant association between FSN phenotype and age.

Synergistic Optimization of the Thermoelectric and Mechanical Properties of Large-Size Homogeneous Bi0.5Sb1.5Te3 Bulk Samples via Carrier Engineering for Efficient Energy Harvesting.

Manufacturing an economically viable, efficient commercial thermoelectric (TE) module is essential for power generation and refrigeration. However, mediocre TE properties, lack of good mechanical stability of the material, and significant difficulties involved in the manufacturing of large-scale powder as well as bulk samples hinder the potential applications of the modules. Herein, an economically feasible single-step water atomization (WA) is employed to synthesize BST powder (2 kg) by Cu doping within a short time and consolidated into large-scale bulk samples (500 g) for the first time with a diameter of 50 mm and a thickness of about 40 mm using spark plasma sintering (SPS). The incorporation of Cu into BST greatly boosts the carrier concentration, leading to a significant increase in electrical conductivity, and inhibits the bipolar thermal conductivity by 73%. Synchronously, the lattice contribution (κL) is greatly reduced by the effective scattering of phonons by comprising fine-grain boundaries and point defects. Therefore, the peak ZT is shifted to the mid-temperature range and obtained a maximum of ∼1.31 at 425 K and a ZTave of 1.24 from 300 to 500 K for the BSTCu0.05 sample, which are considerably greater than those of the bare BST sample. Moreover, the maximum compressive mechanical strength of large-size samples manufactured by the WA-SPS process is measured as 102 MPa, which is significantly higher than commercial zone melting samples. The thermoelectric module assembled with WA-SPS-synthesized BSTCu0.05 and commercial n-type BTS material manifests an outstanding cooling performance (-19.4 °C), and a maximum output power of 6.91 W is generated at ΔT ∼ 200 K. These results prove that the BSTCux samples are eminently suitable for the fabrication of industrial thermoelectric modules.

Vibration-Based Loosening Detection of a Multi-Bolt Structure Using Machine Learning Algorithms.

Since artificial intelligence (AI) was introduced into engineering fields, it has made many breakthroughs. Machine learning (ML) algorithms have been very commonly used in structural health monitoring (SHM) systems in the last decade. In this study, a vibration-based early stage of bolt loosening detection and identification technique is proposed using ML algorithms, for a motor fastened with four bolts (M8 × 1.5) to a stationary support. First, several cases with fastened and loosened bolts were established, and the motor was operated in three different types of working condition (800 rpm, 1000 rpm, and 1200 rpm), in order to obtain enough vibration data. Second, for feature extraction of the dataset, the short-time Fourier transform (STFT) method was performed. Third, different types of classifier of ML were trained, and a new test dataset was applied to evaluate the performance of the classifiers. Finally, the classifier with the greatest accuracy was identified. The test results showed that the capability of the classifier was satisfactory for detecting bolt loosening and identifying which bolt or bolts started to lose their preload in each working condition. The identified classifier will be implemented for online monitoring of the early stage of bolt loosening of a multi-bolt structure in future works.

Association of obstructive sleep apnea severity with the composition of the upper airway microbiome.

STUDY OBJECTIVES: Although the airway mucosal system plays a pivotal role in the pathogenesis of obstructive sleep apnea (OSA), the underlying disease mechanism remains unclear. The microbiome greatly impacts human health and disease, particularly in the mucosa, where it can have direct interactions. In this study, we aimed to analyze the microbiome composition in the upper airway mucosa of individuals with and without OSA to identify potential disease severity-related microbial signatures. METHODS: This population-based cohort study involved 92 participants (mean age = 62.7 ± 5.8 years; male-to-female ratio = 0.74) who underwent a physical examination and sleep study. Upper airway swab samples were collected from the nasopharyngeal mucosa to evaluate the microbiome based on 16S rRNA gene pyrosequencing. The relationship between microbiome composition and sleep parameters was explored through bioinformatics analysis. RESULTS: The average apnea-hypopnea index was 7.75 ± 6.5 events/h. Proteobacteria, Firmicutes, and Actinobacteria were the predominant phyla in the nasopharyngeal microbiota in all participants. Simpson diversity indexes were higher in patients with OSA (0.6435 ± 0.2827) than in the control patients (0.6095 ± 0.2683); however, the difference was not significant (P = .1155). Specific anaerobes negatively correlated with the lowest oxygen saturation level during sleep (sum of powered score (1) = -117.47; P = .0052). CONCLUSIONS: The upper airway microbiome of older patients with mild-moderate OSA exhibited minor differences in composition compared with that of individuals without OSA, possibly owing to environmental changes in the upper airway mucosa resulting from recurrent airway obstruction and intermittent hypoxia in patients with OSA. CITATION: Hong S-N, Kim KJ, Baek M-G, et al. Association of obstructive sleep apnea severity with the composition of the upper airway microbiome. J Clin Sleep Med. 2022;18(2):505-515.

The Feasibility of 64Cu-PSMA I&T PET for Prostate Cancer.

Background: The goal of this research was to investigate the feasibility of 64Cu labeling in prostate-specific membrane antigen imaging and therapy (PSMA I&T) for PSMA positron emission tomography (PET) imaging and biodistribution evaluation. Materials and Methods: PSMA I&T was labeled with 64Cu, and stability in human and mouse sera was evaluated. Prostate cancer cell lines were used for specific uptake assays (22RV1 for PSMA-positive, PC-3 for -negative). Both PC-3 and 22RV1 cells were transplanted into the left and right thighs in a mouse for PET/computed tomography (CT) imaging. Biodistribution was performed using 22RV1 tumor models. Results: Labeling yield (decay corrected) of 64Cu-PSMA I&T was more than 95% compared to the free 64Cu peak. The serum stability of 64Cu-PSMA I&T was maintained at more than 90% until 60 h. Regarding the specific binding of 64Cu-PSMA I&T was 7.5-fold higher to 22RV1 cells than PC-3 cells (p < 0.001). On PET/CT imaging, more specific 64Cu-PSMA I&T uptake was observed to 22RV1 tumors than to PC-3 tumors. In the PSMA blocking study using 2-phosphonomethoxypropyl adenine (2-PMPA), the 64Cu-PSMA I&T signal significantly decreased in the 22RV1 tumor region. In the biodistribution study, the kidney uptake was the highest among all organs at 2 h (52.6 ± 20.8%ID/g) but sharply decreased at 24 and 48 h. Also, the liver showed similar uptake over time (range, 10-12%ID/g). On the contrary, 64Cu-PSMA I&T uptake of the tumors increased with time and peaked at 48 h (5.6 ± 0.1%ID/g). Conclusions: PSMA I&T labeled with 64Cu showed the feasibility of the PSMA specific PET imaging through in vitro and in vivo studies. Furthermore, 64Cu-PSMA I&T might be considered as the candidate of future clinical trial.

Improving Door-To-Puncture Time in Mechanical Thrombectomy with Direct Care from a Neurointerventionalist in the Emergency Department.

OBJECTIVE: A shorter door-to-puncture time is an independent predictor of good clinical outcomes in patients with acute ischemic stroke (AIS) who undergo mechanical thrombectomy (MT). We recently initiated a protocol for direct care from neurointerventionalists (NIs) in the emergency department (ED) rather than from non-NI neurologists for patients with AIS. Our aim was to investigate whether NIs, as the first point-of-care physicians for stroke in the ED, could shorten door-to-puncture time compared to non-NI neurologists. METHODS: From January 2020 to December 2020, 50 patients with AIS underwent MT at our hospital. Patients were divided into 2 groups based on the type of physician who provided initial care for stroke in the ED: (a) NI group (n = 20) and (b) non-NI group (n = 30). The door-to-puncture time was retrospectively analyzed. RESULTS: The NI group had a significantly shorter door-to-puncture time than the non-NI group (135.2 ± 50.0 minutes vs. 167.2 ± 54.3 minutes, P = 0.040). A door-to-puncture time of ≤120 minutes was more frequently achieved in the NI group than in the non-NI group (55.0% vs. 23.3%, P = 0.022). Multivariable logistic regression analysis revealed that a door-to-puncture time of ≤120 minutes was independently associated with the NI group (adjusted odds ratio 4.098, 95% confidence interval 1.085-15.479, P = 0.037). CONCLUSIONS: Our study showed that NIs, as the first point-of-care stroke physicians in the ED, were associated with shorter door-to-puncture times. We suggest that NIs should be at the forefront of care for patients with AIS in the acute setting by performing triage and deciding on and performing MT.

Targeted alpha immunotherapy of CD20-positive B-cell lymphoma model: dosimetry estimate of 225Ac-DOTA-rituximab using 64Cu-DOTA-rituximab.

OBJECTIVE: The aim of this study was to evaluate the radiation dosimetry of alpha-emitter 225Ac-DOTA-rituximab using Monte Carlo simulation of 64Cu-DOTA-rituximab. METHODS: CD20 expression was evaluated in lymphoma cell lines (Jurkat and Raji). DOTA-rituximab was conjugated and then chelated by 64Cu. Tumor xenograft models were established in BALB/c-nu mice. Animal PET/CT imaging was obtained after tail vein injection with and without a pre-dose of 2 mg of cold rituximab. Specific binding of tumors was evaluated by an organ distribution assay and autoradiography. CD20 expression in tumor tissues was evaluated by immunohistochemistry. The residence time was calculated using 64Cu-DOTA-rituximab PET/CT acquisition data using OLINDA/EXM software. 225Ac-DOTA-rituximab tumor dosimetry was performed using Monte Carlo simulation with 64Cu-DOTA-rituximab PET/CT images. RESULTS: Specific binding of Raji cells (CD20 positive) was 90 times that of Jurkat cells (CD20 negative) (p < 0.0001). Immunoreactivity was more than 75%. PET/CT imaging with 64Cu-DOTA-rituximab was specifically observed in tumors. The radioactivity of the tumor was much higher than that of other organs, and tumor uptake was related to CD20 expression. The predicted human dose for the administration of 64Cu-DOTA-rituximab was measured as the effective dose (1.07E-02 mSv/MBq). In the tumor region, equivalent doses of 225Ac-DOTA-rituximab (14 SvRBE5/MBq) were much higher (74-fold) than those of 64Cu-DOTA-rituximab (0.19 SvRBE5/MBq) (p < 0.01). CONCLUSION: Tumor dosimetry of 225Ac-DOTA-rituximab can be estimated via the Monte Carlo simulation of 64Cu-DOTA-rituximab. 225Ac-DOTA-rituximab can be employed for lymphoma as targeted alpha therapy.

Long-term surgical outcomes of primary retropupillary iris claw intraocular lens implantation for the treatment of intraocular lens dislocation.

We aimed to investigate the efficacy and safety of primary retropupillary iris claw intraocular lens (R-IOL) implantation in patients with complete intraocular lens (IOL) dislocation. In this single-center retrospective case series, we reviewed the medical records of patients who underwent R-IOL implantation surgery with pars plana vitrectomy for the treatment of IOL dislocation between September 2014 and July 2019. The primary outcome was change in visual acuity (VA) up to 24 months postoperatively. The secondary outcomes included changes in intraocular pressure (IOP), refractive errors, and endothelial cell count (ECC) over the same period. Data of 103 eyes (98 patients) were analyzed. The mean uncorrected VA was significantly improved at one month postoperatively (- 0.69 logMAR, P < 0.001), compared to the preoperative value. IOP (- 2.3 mmHg, P = 0.008) and ECC (- 333.4 cells/mm2, P = 0.027) significantly decreased one month post-surgery and remained stable thereafter. Postoperative mean spherical equivalents were similar to the prediction error throughout the follow-up period. IOP elevation (n = 8, 7.8%), cystoid macular edema (n = 4, 3.9%), and dislocation of the R-IOL (n = 10, 9.7%) were managed successfully. Overall, primary R-IOL implantation with pars plana vitrectomy is effective and safe for correcting IOL dislocation due to various causes.