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.

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 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.

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.

Objective:To prospectively analyze and evaluate the clinical efficacy of fire needle acupuncture selection based on CT localization in the treatment of lung cancer-related cough.Methods:A total of 36 patients with lung cancer-related cough who were admitted to the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine from January 2020 to December 2023 were prospectively included as research samples.According to the random number table method,they were divided into control group(18 cases)and observation group(18 cases).The control group was treated with routine etiological treatment and symptomatic treatment,while the observation group was treated with fire needle acupuncture selection based on CT localization on the basis of the control group.The course of treatment was 28 days.The efficacy improvement rate after 28 days of treatment,visual analogue scale(VAS),le icester cough questionnaire in mandarin-Chinese(LCQ-MC)and levels of peripheral serum cytokines interleukin-6(IL-6)and interleukin-8(IL-8)before and after 28 days of treatment were compared between the two groups.Results:After 28 days of treatment,the efficacy improvement rate of curative effect,VAS score and LCQ-MC score in the observation group were significantly higher than those in the control group(P＜0.05).The levels of IL-6 and IL-8 in the two groups were significantly lower than those before treatment(P＜0.05),but there was no significant difference between the two groups(P＞0.05).Conclusion:The treatment of fire needle acupuncture selection guided by CT localization can significantly improve the therapeutic effect of patients with lung cancer-related cough,effectively reduce the cough symptoms of patients,improve the quality of life of patients,and alleviate the inflammatory response in the body.

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.

Objective:To prospectively analyze and evaluate the clinical efficacy of fire needle acupuncture selection based on CT localization in the treatment of lung cancer-related cough.Methods:A total of 36 patients with lung cancer-related cough who were admitted to the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine from January 2020 to December 2023 were prospectively included as research samples.According to the random number table method,they were divided into control group(18 cases)and observation group(18 cases).The control group was treated with routine etiological treatment and symptomatic treatment,while the observation group was treated with fire needle acupuncture selection based on CT localization on the basis of the control group.The course of treatment was 28 days.The efficacy improvement rate after 28 days of treatment,visual analogue scale(VAS),le icester cough questionnaire in mandarin-Chinese(LCQ-MC)and levels of peripheral serum cytokines interleukin-6(IL-6)and interleukin-8(IL-8)before and after 28 days of treatment were compared between the two groups.Results:After 28 days of treatment,the efficacy improvement rate of curative effect,VAS score and LCQ-MC score in the observation group were significantly higher than those in the control group(P＜0.05).The levels of IL-6 and IL-8 in the two groups were significantly lower than those before treatment(P＜0.05),but there was no significant difference between the two groups(P＞0.05).Conclusion:The treatment of fire needle acupuncture selection guided by CT localization can significantly improve the therapeutic effect of patients with lung cancer-related cough,effectively reduce the cough symptoms of patients,improve the quality of life of patients,and alleviate the inflammatory response in the body.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.