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.

OBJECTIVES: To investigate the protective effects and underlying mechanisms of Gynostemma pentaphyllum (GP)ethanol extract on motor dysfunction in a mouse model of Parkinson's disease (PD). METHODS: Eighty C57BL/6 male mice were randomly divided into five groups: control group, model group, levodopa group (positive control group), low-dose GP group, and high-dose GP group, with 16 mice per group. The PD model was induced by injection of 6-hydroxydopamine into the substantia nigra pars reticulata of the mice. Two weeks after 6-hydroxydopamine, positive control group received intraperitoneal injection of levodopa 10 mg·kg^－1·d^－1, while low-dose GP and high-dose GP groups received GP extract 100 or 200 mg·kg^－1·d^－1 orally for three weeks. After a 3-week-treatment, the effects of GP on motor dysfunction in 6-hydroxydopamine-induced PD were assessed using open field and CatWalk gait tests, while the effects on muscle strength were evaluated by forelimb grip strength. Immunofluorescence staining was used to detect the number of tyrosine hydroxylase (TH) positive neurons. The levels of dopamine and serotonin in the midbrain were determined by enzyme-linked immunosorbent assay. In addition, Western blotting was performed to detect the expression of mitogen-activated protein kinase (MAPK) family proteins such as p-extracellular signal-regulated kinase (ERK)1/2, p-p38 and p-c-Jun N-terminal kinase (JNK)1/2, and mitochondrial apoptosis pathway proteins such as B-cell lymphoma (Bcl)-2, Bcl-2 associated X protein (Bax), and cleaved-cysteine aspartic acid specific protease (caspase)-3. RESULTS: Behavioral experiments showed that GP significantly improved the spontaneous activity and motor coordination of PD mice (P<0.05). The forelimb grip strength was also increased by GP treatment (P<0.05), compared to the PD model group. In addition, compared with the model group, the number of TH-positive neurons in substantia nigra pars reticulata region, the levels of dopamine and serotonin in midbrain and the expression of p-ERK1/2 were significantly increased by GP treatment (all P<0.05), whereas the expression of p-p38 and p-JNK1/2, the ratio of Bax/Bcl-2 and cleaved-caspase-3/caspase-3 were significantly decreased (all P<0.05). CONCLUSIONS The results indicate that GP might increase dopamine and serotonin levels in the midbrain and promote the survival of dopaminergic neurons in substantia nigra pars reticulata by regulating the expression of phosphorylation of MAPK family proteins and the expression of mitochondrial apoptosis-related proteins, thereby ameliorating motor deficits in PD mice.
Animals ; Mice ; Male ; Gynostemma/chemistry* ; Mice, Inbred C57BL ; Apoptosis/drug effects* ; Plant Extracts/therapeutic use* ; Parkinson Disease/metabolism* ; Disease Models, Animal ; Neurons/pathology*

Background and aims:Early and accurate diagnosis of the coexistence of Wilson's disease(WD)and chronic hepatitis B(CHB)presents a significant challenge for clinicians.The objective of this study was to retrospectively analyse the characteristics of such patients to improve clinical practice and provide a reference for clinical management.Methods:From January 2011 to December 2022,35 patients with concurrent CHB and WD(CHB+WD group)were identified.A total of 127 patients with CHB(CHB group)and 168 patients with WD(WD group)were included in the control group between January 2016 and December 2021.Propensity score matching(PSM)was performed to balance the baseline values between groups.The Kaplan-Meier(K-M)survival analysis and log-rank test were performed to compare the prognoses.Results:In the cohort of 35 patients with concurrent CHB and WD,74.3％of patients(26 patients)faced a substantial delay of up to 10 years(range:0-40 years)in WD diagnosis following their CHB diagnosis.Twenty-three(65.7％)patients had cirrhosis at the time of WD diagnosis,and 26(74.3％)patients experienced liver failure.The levels of serum copper and uric acid were lower in patients in the CHB+WD group than in those in the CHB group.Patients in the CHB+WD group presented higher alanine transaminase and total bile acid levels compared to those in the WD group.K-M survival analysis indicated that patients with CHB and WD had poorer outcomes than those with CHB alone;however,the outcomes were similar to those of individuals with WD alone.The optimal cut-point of serum ceruloplasmin(CP)in identifying WD in CHB patients was 0.10 g/L before PSM and after PSM.Conclusions:The present study emphasizes the importance of clinicians being vigilant for concurrent CHB and WD diagnoses,as delays in WD diagnosis may adversely affect patient outcomes.CHB patients with serum CP below 0.10 g/L are highly recommended to screen for WD.

Objective To compare imaging quality and semi-quantitative parameters of 18F-FDG whole-body images obtained with domestic NeuWise and Philips Ingenuity TF PET/CT scanners.Methods Thirty-four patients who underwent 18F-FDG whole-body scanning using NeuWise and Philips Ingenuity TF PET/CT systems respectively on the same day were enrolled.The imaging quality and semi-quantitative parameters of 2 kind images,also the mean standard uptake value(SUVmean)of normal tissue,the maximum standard uptake value(SUVmax),peak standard uptake value(SUVpeak),SUVmean of lesions,total lesion glycolysis(TLG)and metabolic tumor volume(MTV)were compared.Results No significant difference of imaging quality nor semi-quantitative parameters of lesions(all P＞0.05),while significant differences of SUVmean of aortic arch,liver,lumbar vertebra and spinal cord were found between 2 kind images(all P＜0.05).Strong correlations of SUVmax,SUVmean,MTV and TLG of lesions(r,=0.734-0.890,P＜0.001),and high correlation of SUVpeak(rs=0.919,P＜0.001)were found between 2 kind images.The consistency of SUVmax,SUVpeak,SUVmean,TLG and MTV at the lesion site between 2 kind images were very good to extremely good(ICC=0.891-0.986,all P＜0.001),and the differences of all above semi-quantitative parameters were within 95％confidence interval.Conclusion Imaging quality of 18F-FDG whole-body images obtained with domestic NeuWise and Philips Ingenuity TF PET/CT scanners could meet the requirements of clinical diagnosis and treatment,and semi-quantitative parameters obtained based on both images had good consistencies.

Objective To compare imaging quality and semi-quantitative parameters of 18F-FDG whole-body images obtained with domestic NeuWise and Philips Ingenuity TF PET/CT scanners.Methods Thirty-four patients who underwent 18F-FDG whole-body scanning using NeuWise and Philips Ingenuity TF PET/CT systems respectively on the same day were enrolled.The imaging quality and semi-quantitative parameters of 2 kind images,also the mean standard uptake value(SUVmean)of normal tissue,the maximum standard uptake value(SUVmax),peak standard uptake value(SUVpeak),SUVmean of lesions,total lesion glycolysis(TLG)and metabolic tumor volume(MTV)were compared.Results No significant difference of imaging quality nor semi-quantitative parameters of lesions(all P＞0.05),while significant differences of SUVmean of aortic arch,liver,lumbar vertebra and spinal cord were found between 2 kind images(all P＜0.05).Strong correlations of SUVmax,SUVmean,MTV and TLG of lesions(r,=0.734-0.890,P＜0.001),and high correlation of SUVpeak(rs=0.919,P＜0.001)were found between 2 kind images.The consistency of SUVmax,SUVpeak,SUVmean,TLG and MTV at the lesion site between 2 kind images were very good to extremely good(ICC=0.891-0.986,all P＜0.001),and the differences of all above semi-quantitative parameters were within 95％confidence interval.Conclusion Imaging quality of 18F-FDG whole-body images obtained with domestic NeuWise and Philips Ingenuity TF PET/CT scanners could meet the requirements of clinical diagnosis and treatment,and semi-quantitative parameters obtained based on both images had good consistencies.

Objective To observe the value of 18F-FDG PET/CT semi-quantitative parameters for predicting spread through air spaces(STAS)of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.Methods Data of 85 patients with clinical stage Ⅰa—Ⅲ a lung adenocarcinoma who underwent preoperative 18F-FDG PET/CT were retrospectively analyzed.The patients were divided into positive group(n=23)or negative group(n=62)according to whether pathology showed STAS or not.Clinical and PET/CT data were compared between groups,and logistic analysis was performed to explore the efficacy of each parameter for predicting STAS.Results Significant differences of gender,carcinoma embryonic antigen,clinical stage,pathological grade,micropapillary growth and proportion were found between groups(all P＜0.05).The maximum,the mean,the peak standard uptake value(SUVmax,SUVmean,SUVpeak),as well as the maximum,the mean and the peak standard uptake value normalized by lean body mass(SULmax,SULmean,SULpeak),also the total lesion glycolysis(TLG)in positive group were all significantly higher than those in negative group(all P＜0.05).Patients'gender,proportion of micropapillary growth,SUVmax and SULmax were all independent risk factors of STAS of clinical stage Ⅰa—Ⅲa lung adenocarcinoma.The area under the curve(AUC)of the above parameters for predicting STAS was 0.666,0.912,0.839 and 0.842,respectively,and of the combination was 0.957.Conclusion 18 F-FDG PET/CT semi-quantitative parameters SUVmax and SULmax were helpful for predicting STAS of clinical stage Ⅰa—Ⅲ a lung adenocarcinoma,and further combination of gender and proportion of micropapillary growth could improve diagnostic efficacy.

Tissue engineering envisions functional substitute creation for damaged tissues. Insulin-like growth factor-1 (IGF-1) plays roles in bone marrow mesenchymal stem cell (BMSC) osteogenic differentiation (OD), and we investigated its specific mechanism. BMSCs were cultured and OD was induced. Surface antigens (CD105, CD90, CD44, CD45, CD34) were identified by flow cytometry. Adipogenic, chondrogenic, and osteogenic differentiation abilities of BMSCs were observed. BMSCs were cultured in osteogenic medium containing 80 ng/mL IGF-1 for 3 weeks. Alkaline phosphatase activity, calcification level, osteogenic factor (runt related protein 2 [RUNX2], osteocalcin [OCN], osterix [OSX]), total (t-) ERK1/2 and phosphorylated-(p-) ERK1/2 levels, and SRY-related high-mobility-group box 4 (SOX4) levels were assessed by alkaline phosphatase staining and Alizarin Red staining, Western blot, and reverse transcription-quantitative polymerase chain reaction. The mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway inhibitor (PD98059) was used to inhibit the MAPK/ERK pathway in IGF-1-treated BMSCs. Small interfering-SOX4 was transfected into BMSCs to down-regulate SOX4.IGF-1 increased alkaline phosphatase activity, cell calcification, and osteogenic factor (RUNX2, OCN, OSX) levels in BMSCs, indicating that IGF-1 induced rat BMSC OD. SOX4, and p-ERK1/2 and t-ERK1/2 levels were elevated in IGF-1-induced BMSCs, which were annulled by PD98059. PD98059 partly averted IGF-1-induced rat BMSC OD. SOX4 levels, alkaline phosphatase activity, cell calcification, and osteogenic factor (RUNX2, OCN, OSX) levels were reduced after SOX4 down-regulation, showing that downregulation of SOX4 averted the effect of IGF-1 on inducing rat BMSC OD. IGF-1 induced rat BMSC OD by stimulating SOX4 via the MAPK/ERK pathway.

Tissue engineering envisions functional substitute creation for damaged tissues. Insulin-like growth factor-1 (IGF-1) plays roles in bone marrow mesenchymal stem cell (BMSC) osteogenic differentiation (OD), and we investigated its specific mechanism. BMSCs were cultured and OD was induced. Surface antigens (CD105, CD90, CD44, CD45, CD34) were identified by flow cytometry. Adipogenic, chondrogenic, and osteogenic differentiation abilities of BMSCs were observed. BMSCs were cultured in osteogenic medium containing 80 ng/mL IGF-1 for 3 weeks. Alkaline phosphatase activity, calcification level, osteogenic factor (runt related protein 2 [RUNX2], osteocalcin [OCN], osterix [OSX]), total (t-) ERK1/2 and phosphorylated-(p-) ERK1/2 levels, and SRY-related high-mobility-group box 4 (SOX4) levels were assessed by alkaline phosphatase staining and Alizarin Red staining, Western blot, and reverse transcription-quantitative polymerase chain reaction. The mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) pathway inhibitor (PD98059) was used to inhibit the MAPK/ERK pathway in IGF-1-treated BMSCs. Small interfering-SOX4 was transfected into BMSCs to down-regulate SOX4.IGF-1 increased alkaline phosphatase activity, cell calcification, and osteogenic factor (RUNX2, OCN, OSX) levels in BMSCs, indicating that IGF-1 induced rat BMSC OD. SOX4, and p-ERK1/2 and t-ERK1/2 levels were elevated in IGF-1-induced BMSCs, which were annulled by PD98059. PD98059 partly averted IGF-1-induced rat BMSC OD. SOX4 levels, alkaline phosphatase activity, cell calcification, and osteogenic factor (RUNX2, OCN, OSX) levels were reduced after SOX4 down-regulation, showing that downregulation of SOX4 averted the effect of IGF-1 on inducing rat BMSC OD. IGF-1 induced rat BMSC OD by stimulating SOX4 via the MAPK/ERK pathway.