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 efficacy, safety, and traditional Chinese medicine (TCM) medication patterns of rituximab (RTX) combined with TCM on treating children with steroid-dependent nephrotic syndrome (SDNS). Methods: One hundred and forty-three children with SDNS who visited the Pediatric Nephrology Department of the First Affiliated Hospital of Henan University of Chinese Medicine from January 2018 to December 2022 were enrolled. A cohort study design was adopted, with " RTX treatment" as the exposure factor. Children who met this exposure factor were assigned to the RTX cohort (RTX, glucocorticoid, immunosuppressive agent, combined with traditional Chinese medicine syndrome differentiation treatment), whereas those who did not were assigned to the basic treatment cohort (glucocorticoid, immunosuppressive agent, combined with traditional Chinese medicine syndrome differentiation treatment ), and followed up for 6 months. The frequency of urinary protein recurrences, urinary protein remission duration, proportion and duration of steroid reduction and cessation, cumulative usage of steroids, proportion of recurrence, recurrence amount of steroid used, efficacy of TCM syndrome, and laboratory and safety indicators after treatment, and height and CD19+ B cell count before and after treatment were compared between the two cohorts. The medication patterns of TCM in the two cohorts were analyzed using frequency statistics, association rule analysis, and systematic clustering analysis. Results: Compared with the basic treatment cohort, the RTX cohort showed a decrease in the frequency of urinary protein recurrence, extended sustained remission of urinary protein, an increase in the proportion of steroid reduction and cessation, a shorter duration of steroid reduction and cessation, a decrease in cumulative steroid dosage, a lower recurrence rate, a decrease in CD19+ B cell count, and a decrease in 24-h urinary total protein quantification and the level of cholesterol (P<0.05). No significant difference in the recurrence amount of steroid used, height, TCM syndrome efficacy, albumin, aspartate transaminase, blood urea nitrogen, platelet count, and safety indicators between the two cohorts. Children with SDNS were mostly characterized by qi and yin deficiency syndrome, followed by spleen and kidney yang deficiency syndrome. A total of 175 TCMs were included, including 28 high-frequency drugs such as Huangqi, Fuling, Gancao, Baizhu, Dangshen, and Jiuyurou. The primary use of medication is to nourish the qi and spleen, nourish the kidney, and warm yang. The analysis of association rules yielded eight binary associations and ten three-phase associations, with Huangqi, Baizhu, Fuling, and Dangshen, being the most closely related. Cluster analysis identified four TCM combinations, primarily focusing on tonifying kidney and replenishing essence, benefiting qi and nourishing yin, and removing blood stasis. Conclusion RTX combined with TCM syndrome differentiation treatment can reduce the recurrence frequency of SDNS, prolong the remission period, reduce the glucocorticoid dosage, and have no marked effect on height growth. No apparent adverse reactions were observed. TCM should focus on nourishing qi and yin while removing blood stasis.

Objective:To analyze the clinical characteristics and prognosis of children with hematological malignancies complicated by secondary hemophagocytic lymphohistiocytosis(HLH).Methods:A total of 67 children with HLH admitted to Jinan Second Maternal and Child Health Hospital between June 2020 and June 2024 were selected.Children without hematological malignancies were divided into the non-combined group,and those with hematological malignancies were divided into the combined group.The clinical characteristics and prognosis of the two groups were analyzed.Results:There were no significant differences in clinical characteristics such as WBC,Hb,PLT between the two groups(P＞0.05).During the follow-up,the 1-and 2-year overall survival(OS)rates for all children were(88.6±4.1)％and(73.1±7.7)％,respectively.In the non-combined group,43 children survived and 6 died,with 1-and 2-year OS rates of(95.2±3.3)％and(77.4±9.3)％,respectively.In the combined group,12 children survived and 6 died,with 1-and 2-year OS rates of(71.8±10.7)％and(62.8±12.6)％,respectively.The OS rate of the combined group was significantly lower than that of the non-combined group(x2=4.787,P=0.029).The 1-and 2-year event free survival(EFS)rates of the combined group were(61.1±11.5)％and(50.9±13.3)％,respectively.Conclusion:Children with hematological malignancies complicated by secondary HLH exhibit complex and diverse clinical characteristics.Although favorable short-term therapeutic effects can be achieved,their long-term prognosis tends to be less optimistic.

To promote the effective implementation of China's Essential Public Health Services Program(EPHSP)and ensure the secure and efficient utilization of project funds,China officially initiated the performance evaluation of EPHSP in 2011.This performance evaluation has evolved through three distinct phases:initial exploration(2011-2014),steady advancement(2015-2018),and reform and enhancement(2019—present).The evaluation objectives have progressively expanded from an initial focus on fund security and service coverage to a broader emphasis on enhancing service quality,improving residents'health status and sense of benefit,and facilitating the refinement of policy frameworks and the implementation of primary responsibilities.Performance evaluation has emerged as a critical instrument for strengthening project governance and optimizing resource allocation,gradually establishing a performance-driven incentive mechanism that aligns rewards with both the quantity and quality of work.This approach has effectively contributed to the continuous improvement of service quality.To further advance the high-quality development of EPHSP,future efforts should optimize the performance evaluation system,prioritize the adoption of a full-cycle performance management approach and the integration of health outcome-based indicators.Additionally,it is essential to deepen the application of information technologies to enhance the precision and efficiency of evaluations,and to innovate mechanisms for utilizing evaluation results to reinforce accountability at the local level.These measures will collectively strengthen project performance management capabilities.

Objective:To explore evaluate value of chest vascular computerized tomography(CT)parameters combined with platelet-to-lymphocyte ratio(PLR)and Interleukin(IL)-17 for the prognosis of patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD)complicated with pulmonary hypertension.Methods:92 patients with AECOPD complicated with pulmonary hypertension admitted to our hospital from February 2023 to June 2024 were prospectively selected as the research objects,and they were divided into poor prognosis group(n=41)and good prognosis group(n=51)according to the different prognosis.The chest vascular CT parameters,PLR and IL-17 indicators of the two groups were compared.Multivariate Logistic regression analysis were used to analyze the influencing factors of prognosis in patients with AECOPD complicated with pulmonary hypertension.The receiver operating characteristic(ROC)curve was used to analyze the evaluate value of chest vascular CT parameters,PLR and IL-17 for the prognosis of patients with AECOPD complicated with pulmonary hypertension.Results:Among 92 patients with AECOPD complicated with pulmonary hypertension,41 patients were readmitted for treatment,and the incidence of poor prognosis was 44.57％.The age and disease duration of patients in poor prognosis group were higher than those in good prognosis group(P＜0.05).The ascending aortic diameter(AAD),main pulmonary artery diameter(MPAD),descending aortic diameter(DAD),PLR and IL-17 in poor prognosis group were higher than those in the good prognosis group(P＜0.05).Multivariate logistic analysis showed that elevated MPAD,AAD,DAD,IL-17,PLR,advanced age and long disease course were risk factors for poor prognosis in patients with AECOPD complicated with pulmonary hypertension.ROC curve analysis showed that the area under the curve(AUC)of the chest vascular CT parameters MPAD,AAD,DAD combined with PLR and IL-17 for evaluating the prognosis of AECOPD complicated with pulmonary hypertension was 0.923,which was significantly higher than that evaluated by each index alone.Conclusion:Elevated MPAD,AAD,DAD,IL-17,PLR,advanced age and long disease course are risk factors for poor prognosis in patients with AECOPD complicated with pulmonary hypertension,the combined detection of chest vascular CT parameters and PLR,IL-17 has a high evaluating value for the prognosis of patients with AECOPD complicated with pulmonary hypertension.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

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.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To explore the effects of drug-coated balloons(DCB)on the patency rate of target lesion vessels,coagulation function and vascular endothelial function in patients with in-stent restenosis(ISR)after percutaneous endovascular angioplasty(PTA)for lower extremity arteriosclerosis obliterans(ASO).Methods A total of 62 patients with ISR and ASO admitted to the hospital were retrospectively enrolled between March 2020 and March 2022.According to different treatment methods,they were divided into DCB group(n=38)and common balloon(SAB)group(n=24).All were followed up for 12 months after surgery.The changes in primary patency rate of target lesion vessel,clinically driven-target lesion revascularization(CD-TLR)rate,late loss of values in the lumen(LLL),ankle-brachial index(ABI),coagulation function indexes[prothrombin time(PT),activated partial thromboplastin time(APTT),fibrinogen(FIB),D-dimer(D-D)]and vascular endothelial function indexes[serum endothelin-1(ET-1),nitric oxide(NO),flow-mediated dilatation(FMD)]were observed,and the occurrence of postoperative complications in the two groups was recorded.Results At 12 months after surgery,primary patency rate of target lesion vessels in DCB group was higher than that in SAB group(86.84％vs 50.00％),CD-TLR rate,LLL and ABI were lower than those in SAB group[13.16％,(1.39±0.52)mm,(0.76±0.12)vs 50.00％,(1.79±0.64)mm,(0.62±0.11);P＜0.05].At24h and 2 weeks after surgery,there was no significant difference in PT,APTT,FIB or D-D between the two groups(P＞0.05).At 24h and 2 weeks after surgery,levels of serum ET-1 in DCB group were lower than those in SAB group[(66.65±7.12)pg/ml,(65.58±6.98)pg/ml vs(71.74±6.92)pg/ml,(68.84±6.51)pg/ml)],while NO levels were higher than those in SAB group[(32.21±4.17)pg/ml,(34.62±3.32)pg/ml vs(28.53±5.23)pg/ml,(31.21±4.19)pg/ml;P＜0.05].At 2 weeks after surgery,FMD in DCB group was higher than that in SAB group[(12.49±5.33)％vs(9.14±4.42)％,P＜0.05].There was no significant difference in the total incidence of complications between the two groups(21.50％vs 12.50％,P＞0.05).Conclusion Compared with SAB,DCB can effectively protect vascular endothelial function and improve the primary patency rate of ISR after PTA in patients with lower extremity ASO.