ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

Objective To investigate the effects of emergency endovascular treatment on the short-term and long-term prognosis of patients with minor stroke(National Institutes of Health stroke scale[NIHSS]score≤5)caused by posterior circulation large vessel occlusion(LVO).Methods A retrospective analysis was performed on consecutive patients with minor stroke caused by posterior circulation LVO admitted to the Department of Neurology,the First Affiliated Hospital of Xi'an Jiaotong University from July 2019 to March 2024.The patients were divided into the emergency endovascular treatment group and the standard medical treatment group according to the treatment method.Baseline and clinical data were collected from all patients enrolled,including age,sex,smoking history,history of alcohol consumption,medical history(hypertension,diabetes,hyperlipidemia,atrial fibrillation,transient ischemic attack[TIA],blood pressure on admission,stroke history,coronary heart disease),intravenous thrombolysis,tandem lesions,posterior circulation Alberta stroke program early CT score(pc-ASPECTS)on admission,NIHSS score on admission and discharge,time from onset to admission,responsible occluded vessel(basilar artery,left vertebral artery,right vertebral artery),vertebral artery development(left vertebral artery dominant,right vertebral artery dominant,bilateral vertebral artery dominant),non-lesion side vertebral artery development(poor,good,not applicable),basilar artery on CT angiography(BATMAN)score,leptomeningeal branch compensation(open,not open),surgery-related indicators(number of thrombectomy passes[≤2 times,＞2 times],rescue interventions[stent placement,balloon dilation,arterial thrombolysis,intra-arterial tirofiban infusion],immediate postoperative modified thrombolysis in cerebral infarction[mTICI]grade≥2b[successful recanalization],anesthesia method[general,local],endotracheal intubation status[yes,no],duration of mechanical ventilation[not using a ventilator or successfully intubation for≤24 hours and＞24 hours]),in-hospital systematic complications(deep-vein thrombosis,urinary tract infection,lung infection).The primary outcome for short-term prognosis was an excellent outcome(modified Rankin scale[mRS]score of 0-1)within 90 days after onset.Secondary outcomes included a good outcome(mRS score of 0-2)within 90days after onset,recurrent ischemic stroke within 90 days after onset,all-cause mortality within 90 days after onset.Safety outcomes were symptomatic intracerebral hemorrhage(sICH)within 24 hours of treatment(NIHSS score increased by≥4 points or increased level of consciousness score by≥1 point compared with admission,with visible hemorrhagic lesions on follow-up CT scan)and early neurological deterioration(END,NIHSS score increased by≥2 points or motor score increased by≥1 point compared with admission,within 24 hours after treatment).Long-term outcome was defined as recurrent ischemic stroke within 1 year after onset.Short-term and safety outcomes were compared between the emergency endovascular treatment group and the standard medical treatment group.Kaplan-Meier survival curves was used to evaluate the effect of emergency endovascular treatment on the long-term prognosis.Based on the mRS score at 90 days from onset,all patients were divided into an excellent outcome(mRS score 0-1)group and a non-excellent outcome(mRS score 2-6)group.Baseline and clinical data were compared across the two groups.Variables with statistically significant differences were included in the multivariate Logistic regression analysis to investigate the influencing factor of 90-day excellent outcomes in patients with minor stroke caused by posterior circulation LVO.Results A total of 56 patients with minor stroke caused by posterior circulation LVO were enrolled,including 18 patients in the emergency endovascular treatment group and 38 patients in the standard medical treatment group.45 patients achieved excellent outcomes and 11 patients achieved non-excellent outcomes.(1)The emergency endovascular treatment group had lower pc-ASPECTS on admission(8.0[7.0,9.0]points vs.9.0[8.0,10.0]points,P=0.043)and There were no statistically significant differences in the excellent outcome rate,good outcome rate,and ischemic stroke recurrence rate within 90 days after onset between the two groups(all P＞0.05).No all-cause mortality occurred within 90 days after onset in either group.In the emergency endovascular treatment group,one patient developed sICH and one developed END within 24 hours after treatment.(3)No recurrent ischemic stroke in the emergency endovascular treatment group within 1 year after onset,while 3cases(7.89%)of recurrence were observed within 1year after onset in the standard medical treatment group.The Kaplan-Meier survival curve analysis showed that there was no statistically significant difference in the incidence of ischemic stroke within one year after onset between the two groups(P=0.341).(4)There were statistically significant differences between patients with excellent outcome and patients with non excellent outcome in drinking history,diabetes history,NIHSS score after discharge,distribution of responsible occlusive vessels,and distribution of vertebral artery development(all P＜0.05).The results of multivariate Logistic regression analysis showed that the NIHSS score at discharge was an independent influencing factor for excellent outcome at 90 days after onset in patients with minor stroke caused by posterior circulation LVO(OR,0.448,95%CI 0.275-0.728,P=0.001).Conclusions This study shows potential safety and effectiveness of emergency endovascular treatment on patients with minor stroke caused by posterior circulation LVO,but it is not superior to standard medical treatment in terms of short-term and long-term outcomes.Further large-sample randomized controlled trials are warranted to validate the findings of this study.

Aim To investigate the effect of PU.1 in-hibitor DB2313 on lupus nephritis in MRL/lpr mice and its mechanism.Methods Thirty female MRL/lpr mice were randomly divided into the model group,DB2313 group and TACI-Ig group,with 10 mice in each group.Another 10 female BALB/c mice were se-lected as normal control groups.Mice in the DB2313 group received intraperitoneal DB2313 injections every two days,and those in the TACI-Ig group received subcutaneous injections of TACI-Ig every two days.Mice in the control group and model group were intra-gastrically given the same amount of 0.9％NaCl injec-tion every day.Before the drug intervention and for 1 to 5 weeks after the intervention,the urine of mice was collected regularly,the urine protein content was meas-ured,and the renal damage index was evaluated.The histopathological changes of kidney were observed by HE,Masson and PAS staining.The expression levels of immune complex of C3 in kidney tissue were detec-ted by immunohistochemistry.The concentrations of u-rea nitrogen(BUN),serum creatinine(Scr),inter-leukin-6(IL-6),and tumor necrosis factor alpha(TNF-α)in the serum samples were assayed utilizing the respective kits.The expression levels of PU.1 and FLT3 in kidney tissues were determined by immunoflu-orescence technology,and the protein expressions of PU.1,FLT3,PI3K,AKT and phosphorylated AKT(p-AKT)in kidney tissues were detected by Western blot.Results DB2313 treatment significantly allevia-ted the pathological damage of kidney in MRL/lpr mice,and reduced the deposition of C3,kidney injury index and 24-hour urine protein in renal tissue.The results of ELISA showed that DB2313 administration could significantly reduce the serum levels of BUN,Scr,IL-6 and TNF-α in MRL/lpr mice.The results of immunofluorescence and Western blot further showed that DB2313 treatment could significantly down-regu-late the protein expression of PU.1,PI3K and p-AKT,and up-regulate the protein expression of FLT3.Con-clusion DB2313 has an ameliorating effect on lupus nephritis in MRL/lpr mice,and its underlying mecha-nism may involve the inhibition of the transcription fac-tor PU.1-mediated signaling pathway.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective:To investigate the effect of thrombocytopenia and coagulation dysfunction on bleeding complications in patients undergoing percutaneous liver biopsy.Methods:The clinical, laboratory, and demographic data of patients undergoing percutaneous liver biopsy at the First Affiliated Hospital of Air Force Medical University from January 2005 to January 2024 were retrospectively analyzed. The incidence of bleeding was recorded. Univariate and multivariate logistic regression analyses were used to assess the effects of thrombocytopenia and coagulation dysfunction on the risk of postoperative bleeding. Furthermore, we assessed the bleeding risk in patients with autoimmune hepatitis.Results:A total of 2 885 liver perforations were performed in 2 364 patients, 98.4% of whom had an autoimmune liver disease. There were 27 cases of postoperative bleeding (0.9%). The univariate logistic regression analysis showed that platelet count (PLT)( P<0.05, OR=0.975), coagulation dysfunction (international normalized ratio; INR)( P<0.05, OR=6.954), and cirrhosis ( P<0.05, OR=3.857) were associated with bleeding. The multivariate logistic regression analysis showed that PLT was an independent risk factor for bleeding ( P<0.05, OR=0.975). PLT scores of 40×10 9/L and 65×10 9/L can classify the bleeding risk of patients with thrombocytopenia into high, medium, and low risk. There was no difference in the risk of bleeding between the 40×10 9/L0.05, χ2=0.10). The risk of bleeding in the 31×10 9/L≤PLT≤40×10 9/L group was higher than that in the 40×10 9/L0.05, χ2=0.10). Furthermore, the bleeding cases were considered mild as the bleeding stopped after pressure hemostasis. Conclusions:PLT is an independent risk factor for bleeding after hepatocentesis. When the PLT is >40×10 9/L, hepatocentesis can still be performed safely with appropriate management measures.

Objective:To evaluate the quality of information on autoimmune liver disease in videos on the TikTok short video platform.Methods:The keyword "autoimmune liver disease" was used to search the top 200 videos on TikTok in the default sorting order. Using the DISCERN video quality assessment tool and the structured content integrity evaluation tool, we assessed the quality of the information in each video in relation to the pertinent disease guidelines. Furthermore, we investigated any relationships between the quality of the videos and their characteristics (likes, comments, retweets, days and duration of uploading).Results:A total of 140 videos were included, 96.4% of which were provided by medical professionals. The content completeness scores for each dimension were as follows: definition, 1.0 (0.0, 1.0); symptoms, 0.0 (0.0, 1.0); risk factors, 0.0 (0.0, 0.5); assessment, 0.5 (0.0, 1.5); management, 0.5 (0.0, 1.0); and outcome, 0.0 (0.0, 1.0). Furthermore, 91.4% of videos with DISCERN scores of ≤50 were of "fair" quality or below. Additionally, the difference in DISCERN scores between videos from different publishers was not statistically significant ( P>0.05). The number of likes, comments, favorites, retweets, and video duration had a strong positive correlation with the overall DISCERN score ( r=0.17, 0.18, 0.25, 0.26, 0.44, all P<0.05). Conclusions:The overall quality of videos related to autoimmune liver disease on the TikTok video platform is low. Therefore, publishers should focus on the comprehensiveness and accuracy of the information. Additionally, the TikTok platform should optimize its video review mechanism to provide the public with more accurate and reliable health information.

Objective To compare and analyze the germicidal efficacy of continuous ultraviolet and pulsed ultravio-let(UV)lasers on pathogenic microorganisms.Methods Spore slides of Escherichia coli and Bacillus atrophaeus were irradiated using a 254 nm ultraviolet mercury lamp and UV laser.The carrier quantitative germicidal test was conducted to determine the disinfection efficacy at different irradiation doses.Results When the irradiation dose of the ultraviolet mercury lamp was 245.52 mJ/cm2,the logarithmic killing values of Escherichia coli and Bacillus atro-phaeus spores were 5.00 and 2.92,respectively,and the mean logarithmic killing doses were 49.10 and 84.08 mJ/cm2,respectively;When the UV laser irradiation doses were 208.39 and 206.80 mJ/cm2,the logarithmic killing values for the two microorganisms were 6.29 and 3.32,respectively,and the mean logarithmic killing doses were 33.13 and 62.29 mJ/cm2,respectively.Conclusion Compared with continuous UV radiation,pulsed UV laser has stron-ger penetration ability,better killing efficacy on pathogenic microorganisms at the same radiation dose,and can con-duct targeted disinfection and sterilization on the surface of objects directionally.

Aim To establish the pyroptosis model of rat chondrocytes induced by tumor necrosis factor α(TNF-α)in order to study the effect of lysine acetyl-transferase 7(KAT7)on pyroptosis of chondrocytes.Methods Chondrocytes of rat knee joint were isolated by type Ⅱ collagenase digestion,and were identified by toluidine blue staining and Col Ⅱ immunofluorescence.CCK-8 was used to evaluate cell viability.Western blot was used to detect the expression of pyroptosis-related proteins NLRP3,GSDMD,caspase-8 and KAT7 in cells intervened with TNF-α,adenovirus overexpression of KAT7(KAT7-oe)and KAT7 inhibitor WM-3835.The microstructure of the cells was observed by scanning e-lectron microscopy.Pyroptosis was detected by TUNEL staining,and the expression of pyroptosis-related pro-tein and KAT7 was detected by immunofluorescence.Results Compared with the empty virus group,KAT7-oe inhibited cell viability,promoted the expression of pyroptosis-related proteins,and TNF-α enhanced this effect.At the same time,the expression of KAT7 and pyroptosis-related proteins in the TNF-α stimulation group increased,and WM-3835 reduced the related proteins expression.Electron microscopy showed that KAT7-oe caused cell swelling,deformation,membrane perforation and rupture,while WM-3835 could restore cell morphology.TUNEL staining and immunofluores-cence results also confirmed that KAT7-oe induced chondrocyte pyroptosis,and WM-3835 could down-reg-ulate the fluorescence of pyroptosis-related proteins.Conclusions The expression of KAT7 increases in rat chondrocyte pyroptosis model,and the intervention of KAT7 expression affects signal molecules related to py-roptosis pathway,suggesting that KAT7 may be related to chondrocyte pyroptosis.

Objective To observe the effect of Shaoyao Gancao decoction combined with electroacupuncture on poststroke spasticity in rats.Methods Healthy male Sprague-Dawley(SD)rats were randomly divided into blank group,model group,electroacupuncture group,baclofen group,electroacupuncture combined with high dose of Chinese medicine group,electroacupuncture combined with middle dose of Chinese medicine group,electroacupuncture combined with low dose of Chinese medicine group,high dose of Chinese medicine group,middle dose of Chinese medicine group and low dose of Chinese medicine group,with 10 rats in each group.Open field test and integrated electromyography of quadriceps femoris were tested before modeling and on the 1st,3rd and 6th day after modeling.The samples were taken on day 6.The expression of inflammatory factors in M1 cortex were detected by liquid phase factor technique.The expression of brain-derived neurotrophic factor(BDNF),synaptophysin(SYP),postsynaptic density 95(PSD95),Nestin and β-catenin in M1 cortex was detected by ELISA and Western blot.Results Compared with model group and other intervention groups,the electroacupuncture combined with middle dose of Chinese medicine group make best total distance(P=0.021)and average speed(P=0.021)in open field test on 6th day.make better in integrated electromyography of quadriceps femoris test(P=0.006)on day 3,have higher Ⅱ type fiber ratio,promote IL-10(P=0.006),GMcsf(P=0.045)secretion.ELISA and Western blot also showed that this group behave better in the test of BDNF,SYP,PSD95,Nestin and β-catenin.Conclusion Electroacupuncture combined with Shaoyao-Gancao decoction groups were effective in the treatment of poststroke spasticity in rats,and its mechanism may be to improve the inflammatory environment of the injured site,promote the proliferation of neural stem cells and synaptic regeneration.