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 construct a closed-loop management model for externally dispensed intravenous prescriptions， and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital， risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented， including qualifying designated external dispensing pharmacies and the drug catalogs， operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service （PIVAS） intelligent management platform， and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing， patient drug purchase in designated pharmacies， PIVAS drug dispensing， and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents， full-process verification based on drug traceability codes， intelligent monitoring of infusion parameters， and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use， and has preliminarily enabled procedural standardization， whole-process information traceability， and proactive control of medication risks.

From the theoretical perspective of "body fluids and blood stasis mixing"， environmental microplastics （MPs） are conceptualized as a "novel turbid-toxin". This study aims to elucidate the complete pathogenic pathway through which MPs act as a key driving force （the "crucible" of pathogenesis） in the initiation and progression of atherosclerosis （AS）. By tracing the classical theories in the Chapter The Occurrence of All Diseases of Miraculous Pivot （Ling Shu）， this paper clarifies the core connotations of "body fluids"-it not only refers to endogenous pathological fluids and lipid turbidity but also provides a theoretical basis for incorporating "exogenous turbid fluids"， thereby laying a logical foundation for conceptualizing MPs as a "novel turbid-toxin". Meanwhile， the implications of "blood" （encompassing both blood quality abnormalities and blood stasis） and the dynamic process of "mixing" are elucidated. Drawing upon modern toxicological evidence， this paper demonstrates the high homology between MPs and "exogenous turbid-fluids" from three aspects： Morphology， toxicity， and invasion routes. The micro/nano-scale particle morphology of MPs enables mobility within the bloodstream. The multiple exposure pathways of MPs correspond to the traditional Chinese medicine understanding of pathogens invading through the mouth， nose， and skin. The characteristics of accumulating in vivo while inducing oxidative stress and inflammatory responses of MPs fully embody the pathogenic features-adhesion， binding， and vessel damage-of "turbid-toxin". On this basis， the dynamic pathogenesis of MP-induced AS is systematically interpreted. Initially， MPs with the "turbid-toxin" nature impair nutrient-defense harmony and cause endothelial dysfunction. Subsequently， as the core of "mixing"， they interact with blood lipids and immune cells， generating heat and phlegm to form a major pathological hub of chronic inflammation. Ultimately， this process drives the coalescence of phlegm， stasis， and turbid-toxin into tangible plaques， evolving from stable lesions to vulnerable masses and accumulations. By integrating classical pathogenic model with contemporary environmental medicine， this study establishes an analytical framework that bridges macro-theory and micro-mechanisms for understanding the cardiovascular risks of MPs through an integrative Chinese-Western medicine lens.

Objective: To explore the effects of personality and sleep quality with psychological distress of junior and senior high school stduents, so as to provide a reference basis for precise interventions of junior and senior high school students mental health. Methods: In October 2023, a convenience sampling method was used to select 9 034 students aged 12-17 from Shiyan City as the study subjects. The Pittsburgh Sleep Quality Index (PSQI) and Kessler Psychological Distress Scale (K10) were used to collect information on sleep quality and psychological distress of junior and senior high school stduents. Between group comparison was conducted by using t-test and Chi-square test. Generalized linear models were employed to analyze the interaction and joint effects of personality and sleep quality on psychological distress. Results: The generalized linear model analysis showed that the interaction between personality and sleep quality on psychological distress was statistically significant of junior and senior high school students(effect size=0.80, P <0.01). The general linear model analysis indicated that, after adjusting for variables such as age, gender, screen time, and daily sitting time with the extroverted and good sleep quality group as the reference, the introverted and poor sleep quality group had the largest mean difference in psychological distress scores (difference=0.51, P <0.05). When stratified by sleep quality, psychological distress scores were higher in the introverted and neutral personality groups with both poor and good sleep quality compared to the extroverted group (poor sleep quality: introverted difference=3.71, neutral difference=1.14; good sleep quality: introverted difference=2.23, neutral difference=0.57, all P < 0.05). When stratified by personality, psychological distress scores were higher in the poor sleep quality groups for introverted, neutral, and extroverted individuals compared to their good sleep quality counterparts (differences=8.66, 7.83, 7.34, all P < 0.05 ). Conclusions Personality and sleep quality have interactive and joint effects on psychological distress of junior and senior high school stduents. Personalized psychological interventions should be developed based on personality and sleep quality.

Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

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.

Virus-related lymphoma exhibits a dual nature as both a hematologic malignancy and a viral infectious disease， making it more resistant to treatment and associated with poorer prognosis. This paper analyzes the understanding and therapeutic advantages of traditional Chinese medicine （TCM） in virus-related lymphoma. It proposes a TCM-based approach centered around syndrome differentiation， using standardized measurements of the overall TCM condition， multi-omics research of hematologic tumors， and artificial intelligence technologies to identify the "pre-condition" of virus-related lymphoma. A risk warning model will be established to early identify high-risk populations with viral infections that may develop into malignant lymphoma， thereby establishing a risk warning system for virus-related lymphoma. At the same time， a TCM health management approach will be applied to manage and regulate virus-related lymphoma， interrupting its progression and forming a human-centered， comprehensive， continuous health service model. Based on this， a standardized， integrated clinical prevention and treatment decision-making model for virus-related lymphoma， recognized by both Chinese and western medicine， will be established to provide TCM solutions for primary prevention of major malignant tumors.

Objective: To investigate the distribution of traditional Chinese medicine (TCM) syndromes and syndrome elements in lymphoma, as well as the correlation between TCM syndromes and Western clinical indicators, in order to analyze associations between TCM syndromes and these indicators. Methods: From January 2023 to May 2024, 216 patients with lymphoma who met the inclusion criteria in the Department of Hematology, Third People′s Hospital Affiliated to Fujian University of Traditional Chinese Medicine were enrolled. Four diagnostic methods were applied to perform TCM syndrome differentiation and extract syndrome elements. The correlations between various syndromes and blood test indicators of lactate dehydrogenase (LDH), β2-microglobulin (β2-MG), immunoglobulin G (IgG), immunoglobulin M (IgM), immunoglobulin A (IgA), white blood cell (WBC), hemoglobin (Hb), platelet count (PLT), neutrophil (NEUT), immunohistochemical markers of B-cell lymphoma-6 (BCL6), B-cell lymphoma-2 (BCL2), proto-oncogene MYC, and Ki67 protein expression, Ann Arbor staging, international prognostic index (IPI) score, bone marrow infiltration, concurrent infections during chemotherapy, and post-chemotherapy bone marrow suppression rate were analyzed. Results: Five TCM syndromes, ranked by frequency, were syndromes of yin deficiency with phlegm accumulation(41.67%), qi depression with phlegm obstruction(30.56%), cold-phlegm congelation and stagnation(12.96%), phlegm-blood stasis toxin(12.04%), and lingering pathogen due to deficient vital qi(2.77%). Yin deficiency(50.93%) and phlegm(45.37%) were the more prevalent syndrome elements. The TCM syndromes were correlated with β2-MG, PLT, MYC, BCL2/MYC, Ki67 protein expression, and bone marrow infiltration (P<0.05). No statistically significant differences were observed in Ann Arbor staging or IPI score across the syndromes. Compared to the syndrome of cold-phlegm congelation and stagnation, the syndrome of qi depression with phlegm obstruction exhibited higher levels of NEUT, MYC, BCL2/MYC, and Ki67 protein expression, as well as a higher rate of post-chemotherapy bone marrow suppression (P<0.05); the syndrome of phlegm-blood stasis toxin showed higher MYC and BCL2/MYC protein expression and a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05); the syndrome of yin deficiency with phlegm accumulation demonstrated higher MYC and BCL2/MYC protein expression and bone marrow infiltration rates, whereas PLT level was lower (P<0.05); the syndrome of lingering pathogen due to deficient vital qi had higher MYC, BCL2/MYC, and Ki67 protein expression levels, as well as a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05). Compared to the syndrome of qi depression with phlegm obstruction, the syndrome of phlegm-blood stasis toxin exhibited lower Ki67 protein expression (P<0.05); the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, bone marrow infiltration rate, and rate of concurrent infections during chemotherapy, whereas PLT and NEUT levels and the rate of post-chemotherapy bone marrow suppression rate were lower (P<0.05). Compared to the syndrome of phlegm-blood stasis toxin, the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, whereas NEUT and the rate of post-chemotherapy bone marrow suppression were lower(P<0.05); the syndrome of lingering pathogen due to deficient vital qi exhibited a higher Ki67 protein expression (P<0.05). Compared to the syndrome of yin deficiency with phlegm accumulation, the syndrome of lingering pathogen due to deficient vital qi also showed a higher Ki67 protein expression(P<0.05). Conclusion The syndrome of yin deficiency with phlegm accumulation is relatively common in lymphoma. There is a correlation between TCM syndromes and Western medicine clinical indicators. The presence of heat signs in the syndromes may indicate active disease and poor prognosis, while the presence of strong pathogenic factors and weak vital qi in the syndromes may indicate a severer chemotherapy-related bone marrow suppression.

Objective:To investigate the change trend in the burden of 5 common malignant tumors of digestive system (esophageal cancer, gastric cancer, colorectal cancer, pancreatic cancer and liver cancer) in the Chinese population from 1990 to 2021.Methods:The descriptive epidemio-logic method was conducted. The number of new cases, crude incidence rate, age-standardized incidence rate, the number of deaths, crude mortality rate and age-standardized mortality rate of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021 of the Global Burden of Disease were collected. The age-standardized rate was calculated based on the standardized demographics of the whole world in the Global Burden of Disease for the year 2021. Observation indicators: (1) The incidence of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021; (2) the mortality of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021; (3) the change trend of age-standardized incidence rate of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021; (4) the change trend of age-standardized mortality rate of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021. The Joinpoint regression model was constructed for trend analysis, specifically to calculate the annual percentage change, average annual percentage change (AAPC), and their 95% confidence interval ( CI) for age-standardized incidence and mortality rates for each cancer type at different time periods. Results:(1) The incidence of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021. The number of new cases of esophageal cancer, gastric cancer, colorectal cancer, pancreatic cancer and liver cancer in the Chinese population changed from 207 495, 407 471, 158 389, 37 818 and 96 434 in 1990 to 320 805, 611 799, 658 321, 118 665 and 196 637 in 2021. The crude incidence rates of the above cancer types changed from 17.64/100 000, 34.64/100 000, 13.46/100 000, 3.21/100 000, 8.20/100 000 in 1990 to 22.55/100 000, 43.00/100 000, 46.27/100 000, 8.34/100 000, 13.82/100 000 in 2021. The new cases of esophageal cancer, stomach cancer, colorectal cancer, pancreatic cancer, and liver cancer all showed an increasing trend, with absolute changes of 54.61%, 50.15%, 315.64%, 213.78%, and 103.91%, respectively. (2) The mortality of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021. The number of deaths of esophageal cancer, gastric cancer, colorectal cancer, pancreatic cancer and liver cancer in the Chinese population changed from 210 821, 374 066, 119 303, 38 883 and 94 937 in 1990 to 296 443, 445 013, 275 129, 119 602 and 172 068 in 2021. The crude death rates of the above cancer types changed from 17.92/100 000, 31.80/100 000, 10.14/100 000, 3.31/100 000, 8.07/100 000 in 1990 to 20.84/100 000, 31.28/100 000, 19.34/100 000, 8.41/100 000, 12.09/100 000 in 2021. Death cases of esophageal cancer, stomach cancer, colorectal cancer, pancreatic cancer, and liver cancer all showed an increa-sing trend, with absolute changes of 40.61%, 18.97%, 130.61%,207.59%, and 81.24%, respectively. (3) The change trend of age-standardized incidence rate of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021. The change trends of age-standardized incidence rates of esophageal cancer, gastric cancer, colorectal cancer, pancreatic cancer, and liver cancer in the Chinese population were divided into 5, 5, 4, 5, and 5 periods, respectively, and the AAPCs of age-standardized incidence rates of the above cancer types were -1.60% (95% CI as -1.78% to -1.42%), -1.60% (95% CI as -1.78% to -1.43%), 1.66% (95% CI as 1.39% to 1.94%), 0.72% (95% CI as 0.36% to 1.08%), and -0.31% (95% CI as -0.39% to -0.23%). (4) The change trend of age-standardized mortality rate of 5 common malignant tumors of digestive system in the Chinese population from 1990 to 2021. The change trend of age-standardized mortality rates of esophageal cancer, gastric cancer, colorectal cancer, pancreatic cancer, and liver cancer in the Chinese population were divided into 5, 5, 4, 5, and 4 periods, respectively, and the AAPC of age-standardized mortality rates for each of the above mentioned cancer types were -1.96% (95% CI as -2.03% to -1.90%), -2.44% (95% CI as -2.50% to -2.38%), -0.49% (95% CI as -0.58% to -0.41%), 0.56% (95% CI as 0.48% to 0.63%), and -0.68% (95% CI as -0.89% to -0.52%). Conclusions:From 1990 to 2021, the disease burden of esophageal cancer, gastric cancer and liver cancer in the Chinese population show a downward trend. The standardized incidence of colorectal cancer shows an upward trend, and the standardized mortality rate shows a downward trend. The disease burden of pancreatic cancer shows an upward trend.

Objective To study the effect of incorporating comprehensive geriatric assessment(CGA)into the whole-process WeChat-based case health management in elderly population who took annual physical examinations,thereby to improve their ability in health self-management.Methods A randomised controlled trial was conducted to select 100 elderly people who took annual physical examinations in our hospital from July 2022 to June 2023.The elderly were randomly divided into a control group and an trial group,with 50 people per group.CGA was applied to both groups,but the control group was under conventional health management,while the trial group received the incorporation of CGA into a whole-process WeChat-based case health management.The self-rated abilities for health practices scale(SRAHP)was used to compare the scores between the two groups before intervention,at 3,6 and 12 months after intervention.The scores of fatigue,resistance,ambulation,illnesses&loss of weight scale(FRAIL)and the mini nutritional assessment-short form(MNA-SF)were compared between the two groups before intervention and at 12 months after intervention.Incidence of falls was also evaluated after intervention.Results All the participants completed the study.Repeated measures analysis of variance showed that total SRAHP scores had statistical significances in main effect on time,group and interaction(Ftime=193.451,P<0.001;Fgroup=23.661,P<0.001;Finteraction=29.970,P<0.001).Further analysis revealed that the elderly in trial group had higher total scores in SRAHP than those in the control group at 6 and 12 months after intervention(both P<0.001).At 12 months after intervention,the trial group showed better scores in FRAIL and MNA-SF than the control group(both P<0.05)as well as with a lower incidence of falls(P<0.05).Conclusion Incorporation of CGA into a comprehensive WeChat-based case health management,over a long-term,can effectively enhance the ability in health self-management among elderly individuals who take annual health examinations,improve frailty and nutritional status and reduce the incidence of falls.The health self-management discovered from this study provides a valuable reference for health management among the elderly people who take annual physical examinations.