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.

BACKGROUND:The cryopreservation technology enables tissues/cells to be stored for a long time in a low-temperature environment while maintaining the integrity of their activity and function,which is of great significance for the construction of cell therapy,tissue engineering and biological sample banks.Cryoprotective agents often contain dimethyl sulfoxide and serum.To avoid the toxic side effects of dimethyl sulfoxide,the complexity of serum components and immune responses,although some finished cryoprotective agents have been marketed,they are faced with many difficulties such as high cost and limited application.Therefore,there is an urgent need to develop a cryoprotective agent with clear components and the ability to solve the above problems.OBJECTIVE:To evaluate the effects of a novel cryoprotectant on cryopreservation efficiency of different tissue and cell sources.METHODS:By applying the novel cryoprotectant as an experimental group with the commercially available and widely used cryoprotectant(control group)to umbilical cord Wharton's jelly tissue,umbilical cord mesenchymal stem cells,umbilical cord blood/peripheral blood mononuclear cells,NK and CIK cells,comparative analyses were conducted in terms of cell morphology,number,viability,surface markers,differentiation potential,and cell-killing toxicity assay before cryopreservation and after resuscitation thawing.We confirmed the cryopreservation effect of the new cryoprotectant and its potential application value.RESULTS AND CONCLUSION:(1)The novel cryoprotectant facilitated the normal growth of cryopreserved Wharton's jelly tissue upon recovery,exhibiting mesenchymal stem cell morphology.No significant differences were observed between the experimental and control groups in terms of cell recovery rate,surface markers,and differentiation potential.(2)There was no significant difference in the number and viability of cells between the experimental group and the control group after cryopreservation of cord blood/peripheral blood mononuclear cells,and the cryo-resuscitated cell numbers and viability of derived NK cells/CIK cells did not show significant difference between the experimental and control groups.(3)For NK cells derived and differentiated from cord blood/peripheral blood mononuclear cells,there was no significant difference in the proportion of CD56+CD16+cell subpopulations between the experimental group and the control group.For CIK cells derived and differentiated from cord blood/peripheral blood mononuclear cells,there was no significant difference in the proportions of CD3+CD8+and CD3+CD56+cell subpopulations between the experimental group and the control group.(4)In terms of cytotoxicity testing,when the effective-target ratio of immune cells and melanoma cell line Mel624 was 20:1,whether it was NK cells/CIK cells derived from cord blood or peripheral blood mononuclear cells,there was no significant difference in the tumoricidal activity of cells between the experimental group and the control group.These findings suggest that the novel cryoprotectant can replace existing commercially available and widely used cryoprotectants,and is applicable to Wharton's jelly tissue,umbilical cord mesenchymal stem cells,umbilical cord blood/peripheral blood mononuclear cells,as well as NK and CIK cells,providing a solid technical foundation for the scaling,standardization,and commercialization of universal cryoprotectants.

Conventional X-ray coronary angiography using iodinated contrast media is the gold standard technique for diagnosing coronary artery disease and determining treatment strategies,including percutaneous coronary intervention(PCI).However,severe allergy to iodinated contrast agents and renal insufficiency,as well as severely hyperthyroid patients,limit the use of iodinated contrast agents,especially in the face of acute coronary syndromes requiring emergency PCI.Gadolinium-based contrast agent is mainly developed for use in magnetic resonance imaging examinations,and there are few studies on whether it can be used for coronary angiography.We report a case of a patient who had a severe allergic reaction to an iodine contrast agent,and ultimately had a successful complex coronary intervention guided by the application of Gadolinium-based contrast agent combined with intravascular ultrasound.This case and a review of the relevant literature provide new ideas for coronary artery examination and treatment in patients with contraindications to iodine.

Objective:To analyze the epidemiological and clinical characteristics of pertussis in children and the antimicrobial resistance pattern of Bordetella pertussis isolates in Anhui province in 2024. Methods:Prospective observational study. The demographic information of 4 233 cases of pertussis confirmed by nucleic acid testing in Anhui Provincial Children′s Hospital in 2024 and the clinical data of hospitalized cases were collected. The annual epidemic trend of pertussis in children, the clinical characteristics of hospitalized cases, and the vaccination status were analyzed. Bordetella pertussis isolates were recovered from nasopharyngeal swabs obtained from hospitalized children and their family caregivers during the outbreak period and antimicrobial susceptibility was tested. Results:Among the 4 233 children, 2 330 were male and 1 903 were female. A total of 4 059 cases (95.9%) occurred from March to September, with the peak of the disease from April to July (3 364 cases (79.5%)).There were 4 075 cases (96.3%) aged 9 years and under, among which 718 cases (17.0%) were under 1 year old and 2 494 cases (58.9%) were aged 4 to 7 years. During the outbreak period, there were a total of 301 hospitalized children (7.1%), with an average age of 4.4 (2.8, 16.5) months. Among them, 61 cases (20.3%) received the full course of vaccination (4 doses), 64 cases (21.3%) received partial doses of the vaccine, and 176 cases (58.5%) were unvaccinated. Among the unvaccinated children, 79.6% (172/216) were under 1 year old, 8.7% (2/23) were between 1 and 3 years old, and 3.2% (2/62) were 3 years old or older. None of the 20 cases (6.6%) of severe pertussis received pertussis vaccine.Among the 301 hospitalized children, 298 cases (99.0%) presented with typical paroxysmal spasmodic cough, 94 cases (31.2%) had vomiting after coughing, 82 cases (27.2%) had whooping sounds, and 54 cases (17.9%) had cyanotic attacks. There were 228 cases (75.7%) complicated with pneumonia and 5 cases (1.7%) with pertussis encephalopathy. The infection rate among the accompanying family members who underwent screening was 77.1% (371/481). Based on the minimum inhibitory concentration testing of 186 Bordetella pertussis isolates, the minimum inhibitory concentration 90 of azithromycin and trimethoprim-sulfamethoxazole were >256.000 and 0.050 mg/L, respectively. Conclusions:The peak of pertussis cases in Anhui region in 2024 occurred from April to July. Children aged ≤9 years were the major affected population. Infants and preschool children were most susceptible to pertussis. The intrafamily transmission rate of pertussis is high. Empirical use of macrolides for the treatment of pertussis is not recommended. Trimethoprim-sulfamethoxazole can be used as the preferred antibiotic for pertussis in children aged 2 months and above.

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 analyze the factors influencing preoperative anxiety and depression in patients undergoing eye plastic surgery.Methods:A retrospective study was conducted, which included 160 patients awaiting for ocular plastic surgery at the Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine from January to May 2019. Among them, there were 22 males and 138 females, with an average age of (38.6±9.0) years. A one-on-one survey was conducted on enrolled patients using a paper questionnaire. The survey included general patient information, the simplified coping style questionnaire (SCSQ), the Chinese version of the Kessler 10-item questionnaire (Kessler 10), the perceived social support scale (PSSS), and the hospital anxiety and depression scale (HADS). Factors related to anxiety and depression were screened using through univariate analysis and Spearman correlation analysis, and multivariate logistic regression was used to analyze the factors influencing the anxiety and depression.Results:The detection rate for preoperative anxiety in patients undergoing eye plastic surgery was 16.3% (26/160), and that for depression was 25.0% (40/160). A total of 11.3% (18/160) of patients had both anxiety and depression. Multivariate logistic regression analysis showed that positive coping strategies ( OR=0.206, 95% CI: 0.051-0.836), depression ( OR=3.596, 95% CI: 1.068-12.107), and a high Kessler10 scale total score ( OR=1.081, 95% CI: 1.005-1.162) were related to anxiety. A monthly income of 10 000-<20 000 yuan ( OR=0.196, 95% CI: 0.044-0.875), a high total score on the Kessler10 scale ( OR=1.194, 95% CI: 1.085-1.314), and a high total PSSS score ( OR=0.913, 95% CI: 0.870-0.958) were related to depression. Conclusion:Factors affecting anxiety are positive coping strategies, depression, and a high total score on the Kessler 10 scale, while those affecting depression are a monthly income of 10 000-<20 000 yuan, a high total score on the Kessler 10 scale, and a high total score on the PSSS.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To analyze the epidemiological characteristics of comorbidity of post-traumatic stress disorder and depression symptoms among active firefighters, and explore its influencing factors.Methods:In November 2021, a cross-sectional study was conducted using a combination of convenience sampling and cluster sampling. Active firefighters were selected as the research subjects for a questionnaire survey. 1100 questionnaires were distributed, 1032 were collected, and 1021 were valid, with an effective response rate of 98.93%. The PTSD prevalence and characteristics of firefighters were assessed by using the PTSD Checklist Civilian Version (PCL-C) . The degree of depression was assessed by the Patient Health Questionnaire (PHQ-9) . The coping style was assessed by the Trait Coping Style Questionnaire, and the Social Support Rate Scale was used to investigate the degree of social support. Combined with the general information, the influencing factors of comorbidity of PTSD and symptoms of depression in firefighters were analyzed with binary logistic regression based on single factor analysis.Results:Among 1021 firefighters, 379 had a PHQ-9 score of ≥5, and the prevalence rate of depression was 37.1% (379/1 021) . The prevalence rate of PTSD is 4.6% for 47 individuals with a total PCL-C score of ≥38, and the comorbidity rate of depressive symptoms among PTSD patients is 100%. Logistic regression analysis showed that injuries in the past six months, average/poor self-rated health status, and negative coping were all promoting factors for both the simple depression symptom group and the comorbidity group, while social support was the hindering factor ( P<0.05) . Two sets of OR values show that negative coping and social support have roughly the same degree of impact in both groups. The OR (95% CI) values of the two factors of being injured in the past six months and self-rated as average/poor health status have significantly increased in the comorbidity group. The OR (95% CI) values of being injured in the past six months has increased from 2.20 (1.24, 3.93) in the simple depression symptom group to 3.44 (1.30, 9.09) in the comorbidity group, and that of the self-rated as average and poor health status has increased from 4.91 (3.01, 8.00) to 6.56 (1.97, 21.87) and from 7.96 (2.25, 28.25) to 19.17 (4.75, 77.31) separately ( P<0.05) . Conclusion:The results indicate that firefighters with PTSD generally have comorbidity with depressive symptoms. The common influencing factor of being injured in the past six months is consistent with the pattern of PTSD symptoms triggered by depressive symptoms.