Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Medical imaging technology plays a crucial role in clinical diagnosis and treatment. Image compression technology provides robust technical support for the storage and transmission of massive medical imaging data, serving as an effective safeguard for hospital data backup and telemedicine. The technology holds broad application prospects in the medical field, enabling the processing of various imaging modalities, multidimensional imaging, and medical video imaging. This study elaborates on general image and video compression algorithms, the application of compression algorithms in the medical field, and the performance metrics of medical image compression, thereby providing critical technical support for enhancing clinical diagnostic efficiency and data management security.

Objective To observe the effects of dexmedetomidine combined with esketamine on early postoperative pain and cognitive function in elderly patients undergoing spinal surgery.Methods The aged spinal surgery patients were divided into control group and treatment group by random number table method.Both groups were anesthetically induced by intramuscular injection of esketamine 3 mg·kg-1,while the control group was anesthetically induced by intravenous injection of propofol 4 mg·kg-1 with constant velocity pump.The treatment group was given 1 μg·kg-1 dexmedetomidine by intravenous pump for 10 min,and then continued pumping at 0.5 μg·kg-1 rate.The changes of vital signs 5 min before surgery(T1),5 min after surgery(T2),at the end of surgery(T3),at the time of recovery(T4),early postoperative pain,cognitive function,the time of the first patient control analgesia(PC A),the cumulative dosage of sufentanil in different time periods within 48 h and the occurrence of adverse drug reactions were observed in the 2 groups.Results 44 patients were included in the control group and 45 patients in the treatment group,respectively.At T2,T3 and T4,the heart rate of treatment group were(82.51±3.05),(80.15±3.21)and(81.51±3.04)beat·min-1,and that of control group were(92.54±3.10),(93.52±3.05)and(88.45±3.51)beat·min-1,respectively.The mean arterial pressure(MAP)of the treatment group were(54.51±3.58),(55.25±3.21)and(60.25±3.24)mmHg;and that of the control group were(73.25±3.54),(70.52±3.20)and(68.51±3.05)mmHg,respectively.The blood oxygen saturation(SPO2)of treatment groups were(98.56±0.38)％,(98.25±0.35)％and(99.02±0.14)％;and the SPO2 of control group were(94.52±0.35)％,(95.25±0.25)％and(96.25±0.32)％,respectively.Visual analogue pain(VAS)scores were(5.69±1.12),(5.02±0.89),(4.52±0.65)and(4.01±0.45)scores at 2,4,6 and 8 h after operation,respectively;the control group were(6.25±1.35),(5.46±1.12),(4.98±0.84)and(4.25±0.52)scores,respectively.24,36 and 72 h after operation,the scores of MMSE in treatment group were 24.25±1.15,26.25±1.14,27.25±0.89 and 28.86±0.62,respectively;the control group were 22.52±1.02,24.25±1.12,26.58±0.87 and 28.78±0.52,respectively.Compared with the control group,there were statistically significant differences in the above indexes of treatment groups(all P＜0.05).The adverse drug reactions in the control group were mainly lethargy,respiratory depression,nausea and vomiting,and the adverse drug reactions in the treatment group were mainly lethargy,nausea and vomiting,and the incidence of total adverse drug reactions in the treatment group and the control group was 6.67％and 22.73％,respectively,with statistical significance(P＜0.05).Conclusion Dexmedetomidine combined with esketamine is safe and effective in elderly patients undergoing spinal surgery.It can effectively reduce early postoperative pain and quickly restore cognitive function.

Objective To investigate the effect of Ganoderma lucidum polysaccharide peptide(GLPP)on proliferation,migration and apoptosis of diffuse large B cell lymphoma(DLBCL)cells and its mechanism.Methods OCI-LY19 cells were divided into six groups:control,GLPP,si-NC,si-protein arginine methyltransferase 6(PRMT6),GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups.The si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were transfected with si-NC,si-PRMT6,pcDNA3.1-NC and pcDNA3.1-PRMT6,respectively.After the transfection was completed,control,si-NC and si-PRMT6 groups were treated with RPMI-1640 medium,while the GLPP,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were cultured with RPMI-1640 medium containing with 20 μg·mL-1 GLPP.After administration 24 h,the cell proliferation inhibition rates,mobility rates and apoptosis rates were detected.The expression levels of PRMT6 protein were measured by Western blotting.Results The cell proliferation inhibition rates of si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups were(1.28±0.16)％,(38.61±3.29)％,(52.84±7.74)％and(22.75±3.87)％,respectively.The number of cell migrations in the control,GLPP,si-NC,si-PRMT6,GLPP+pcDNA3.1-NC and GLPP+pcDNA3.1-PRMT6 groups was(252.65±24.65),(136.54±16.46),(231.65±21.24),(142.76±15.34),(140.23±9.84)and(192.38±23.38)cells;the apoptosis rates were(4.36±0.52)％,(28.24±2.36)％,(4.23±0.45)％,(24.54±2.27)％,(28.42±3.85)％and(14.25±2.13)％);the expression levels of PRMT6 protein were 1.82±0.21,0.56±0.05,1.78±0.19,0.54±0.05,0.29±0.02 and 0.32±0.03,respectively.The differences of above indexes were statistically significant between control group and GLPP group,between si-NC group and si-PRMT6 group,between GLPP+pcDNA3.1-NC group and GLPP+pcDNA3.1-PRMT6 group(all P＜0.05).Conclusion GLPP could inhibit proliferation,migration and promote apoptosis of DLBCL cells by down-regulating PRMT6 expression.

This study design of specific identification primers for the ITS2 sequence of F. ussuriensis. The reaction system and conditions were optimized, and PCR-nucleic acid test strips were constructed to realize the visual detection of F. ussuriensis Bark. Through molecular cloning and sequencing technology, we constructed a positive control for F. ussuriensis DNA and formulated quality standards. The established method was evaluated for sensitivity, specificity and reproducibility, and the authenticity of the commercially available samples was identified. Results demonstrated that based on the ITS2 sequences, F. ussuriensis and its mixed forgeries could be distinguished. The PCR products of the authentic F. ussuriensis on test strips showed two bands in the T and C lines, while the pseudo products and negative control showed only one band in the C line, which was consistent with the results of agarose gel electrophoresis. The specificity was 100%, and the sensitivity of the PCR-nucleic acid test strip was up to 0.1 ng·μL^-1, which was 10 times higher than that of the gel electrophoresis assay. 11 out of 16 commercially available samples of F. ussuriensis were qualified, and 5 were unqualified. Collectively, the PCR-nucleic acid test strip method established in this study is specific, rapid, accurate and visualized, which can provide a new technical idea for the detection of F. ussuriensis.

Objective To investigate the changes of cortical thickness in patients with insomnia disorder(ID).Methods High-resolution MRI data were collected from 32 ID patients(ID group)and 30 healthy controls(HC)(HC group).The cortical thickness of both groups were analyzed using statistical parametric mapping 12(SPM12)software,while considering age,gender,and educational level as covariates.The cortical thickness in brain regions showed statistically significant differences was extracted for Pearson's correla-tion analyses with sleep and mood-related scales.Results Compared with the HC group,the ID group exhibited significantly decreased cortical thickness in brain regions such as the left insula,fusiform gyrus,orbitofrontal lobe,superior temporal gyrus,middle temporal gyrus,lateral occipital lobe and right caudal anterior cingulate gyrus[P＜0.05,family-wise error(FWE)correction].Furthermore,reduced cortical thickness of the cingulate gyrus was negatively correlated with the Pittsburgh sleep quality index(PSQI)score(r=-0.437,P=0.012).Conclusion The cortical thickness of several brain regions associated with sleep and mood are significantly reduced in patients with ID,providing potential neuroimaging evidence for understanding the pathophysiological mechanism of ID.

Objective:To explore the clinical effect of hernia needle combined with single-port laparoscopy-assisted transscro-tal orchidopexy(HN-SLATO)in the treatment of mid-low cryptorchidism in children.Methods:We selected 80 children with mid-low congenital cryptorchidism treated from January 2023 to January 2024,and equally randomized them into an observation and a con-trol group to receive HN-SLATO and conventional laparoscopic orchidopexy(LO),respectively.We recorded the surgical parameters,the postoperative scores of the patients'on the Face-Legs-Activity-Crying-Consolability Scale(FLACC)and Vancouver Scar Scale(VSS),the serological indicators of interleukin-6(IL-6),inhibitor B(INH-B)and high-sensitivity C-reactive protein(hsCRP),and the incidence of postoperative complications at 1 month after surgery between two groups,followed by comparison between the two groups.Results:The total effectiveness rate of treatment was significantly higher in the observation than in the control group(97.5％vs 75.0％,P＜0.05),and so was the success rate of testicular descent(100％vs 85.0％,P＜0.05),but there was no significant difference in surgical time and postoperative hospital stay between the two groups(P＞0.05).The VSS score was remark-ably lower in the former than in the latter group(3.3±0.9 vs 4.3±1.0,P＜0.05).The FLACC scores were markedly increased in both the observation and control groups at 24 hours(3.6±0.2 and 4.1±0.3)and 72 hours(3.0±0.3 and 3.5±0.2)com-pared with those at 2 hours after surgery(2.2±0.2 and 2.3±0.1)(P＜0.05),but less increased in the former group than in the latter(P＜0.05).The postoperative levels of IL-6,INH-B,and hsCRP were all significantly elevated compared with the baseline in both groups,but less significantly in IL-6 and hsCRP in the observation than in the control group(P＜0.05).The incidence of postoperative com-plications was dramatically lower in the former group than in the latter(2.5％vs 20.0％,P＜0.01).Conclusion:HN-SLATO has a sig-nificant clinical efficiency and high safety in the treatment of mid-low cryptorchidism in children,which can effectively improve intraop-erative fixation and postoperative aesthetics of the testis,as well as reduce pain,serum inflammatory indicators and postoperative com-plications.