Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

ObjectiveTo analyze the characteristics of 150 patients with spinal cord injury complicated with spasticity. MethodsA cross-sectional survey was conducted on 150 patients with spinal cord injury accompanied by spasticity from September, 2019 to December, 2024. Their age, gender, cause of injury, injury site, severity of injury, spasticity severity and other indicators were recorded. The relationships between different characteristics were analyzed, and a correlation analysis of disease duration, spasticity grade, injury level, injury severity and age were conducted. ResultsThere was no significant difference in age distribution between patients with tetraplegia and paraplegia (Z = 0.806, P = 0.420). The proportions of trauma (χ² = 3.982, P = 0.046) and tetraplegia (χ² = 10.559, P = 0.010) were higher in males than in females. Trauma was the main cause of injury in both tetraplegia and paraplegia patients; the proportion of tetraplegia was higher than paraplegia in trauma patients, while paraplegia was higher than tetraplegia in non-trauma patients (χ² = 11.885, P < 0.001). Patients with tetraplegia was dominated by incomplete injury, whereas patients with paraplegia was dominated by complete injury (χ² = 10.885, P = 0.012). Grade A injury was predominant in trauma patients (P = 0.003). Spasticity grade showed a very weak positive correlation with disease duration (r = 0.175, P = 0.032) and age (r = 0.168, P = 0.040). Injury severity showed a very weak positive correlation with age (r = 0.183, P = 0.025). ConclusionCharacteristics of patients with spinal cord injury complicated with spasticity is different with gender, cause of injury, injury level, injury severity.

Objective To systematically evaluate the efficacy and safety of traditional Chinese medicine (TCM) compound in treating pulmonary nodules, providing evidence-based medical evidence for TCM intervention in pulmonary nodules. Methods Computer search of PubMed, CNKI, Wanfang, VIP, and SinoMed was conducted to select randomized controlled trials (RCTs) of TCM compound intervention in pulmonary nodules, with the retrieval time from the inception to November 29, 2023. The Cochrane bias risk assessment tool was used to evaluate the quality of the included studies, and Review Manager 5.4 was used for Meta-analysis. Results A total of 18 RCTs were included, covering 8 provinces across the country, with a total sample size of 1301 patients. The TCM compounds used in the included studies all incorporated the method of dissolving phlegm and dissipating nodules. There was a high risk of bias uncertainty in the included studies. Meta-analysis results suggested that TCM compound could significantly reduce the diameter of pulmonary nodules [MD=−1.41, 95%CI (−1.70, −1.13), P<0.001], decrease the number of nodules [MD=−0.37, 95%CI (−0.73, −0.01), P=0.05], alleviate clinical symptoms [MD=−4.84, 95%CI (−6.04, −3.64), P<0.001], and improve lung function [forced expiratory volume in one second (FEV1), MD=0.55, 95%CI (0.09, 1.01), P=0.02; FEV1/forced vital capacity, MD=6.12, 95%CI (4.47, 7.78), P<0.001]. However, there was no statistically significant difference in the probability of malignancy between the experimental group and the control group [MD=−0.01, 95%CI (−0.01, 0.00), P=0.09]. Conclusion TCM compound can significantly reduce the diameter of pulmonary nodules, decrease the number of nodules, alleviate clinical symptoms, and improve lung function, but future multicenter, large-sample, high-quality RCTs are still needed to further explore and verify this conclusion.

ObjectiveTo explore the ethical issues and coping strategies in the diagnosis and treatment of 46, XY disorders of sex development （46, XY DSD） under a multidisciplinary team （MDT） model， and to deepen the understanding of relevant ethical issues while accumulating experience. MethodsA retrospective collection was conducted on the data of children with 46, XY disorders of sex development under a single-center MDT model from January 2017 to December 2024， and the ethical issues involved in the diagnosis and treatment process were analyzed. ResultsA total of 24 MDT discussion documents involving 20 children were collected， including 17 with female social gender and 3 with male social gender. The age ranged from 0.5 to 15.8 years， with children under 8 years accounting for 75%. The ethical issues primarily involved how to ensure adequate informed consent， whether surgery was necessary and its timing， and whether gender selection is reasonable and its timing. Among the 10 children raised as females who completed the gender role psychological scale assessment， 5 demonstrated masculine tendencies， all of whom had pathogenic genetic variants. Furthermore， only 1 patient changed the social gender to male. ConclusionThe diagnosis and treatment of 46, XY DSD is relatively complex， requiring multidisciplinary collaboration. This process involves numerous ethical issues and necessitates adhering to medical ethical principles. Ensuring adequate informed consent is crucial， especially for younger children. The surgery and its timing selection must adhere to the principles of beneficence， non-maleficence， and leaving room for the future. Gender selection constitutes a focus and challenge in diagnosis and treatment. Psychological scales and genetic etiologies are conducive to judgments regarding gender selection， yet multiple factors in the real world may interfere with the gender selection.

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 explore the relationship between urinary cadmium levels and thyroid hormone levels in people aged 40-89 years old in selected areas of China.Methods:Based on the "Investigation of the Impact of Soil Quality of Agricultural Land on Human Health in Typical Areas" project from October 2019 to August 2020, a multi-stage stratified random sampling method was used to include 6 588 middle-aged and older adults aged 40-89. Demographic characteristics, dietary frequency and disease status were collected through the questionnaire and physical examination. Urinary cadmium and urinary creatinine were detected by random midstream urine. Fasting venous blood was collected for the detection of Triiodothyronine (T3) and Thyroxine (T4). The linear mixed effects model was used to explore the association of urine cadmium levels with thyroid hormone levels. Its dose-response relationship was explored by using the restricted cubic spline.Results:The age of the subjects was (63.48±12.18) years, with males accounting for 51.28%. The M ( Q 1,Q 3) of urinary cadmium level, T3 and T4 was 2.48 (1.36, 4.42) μg/g·creatinine, (1.96±0.51) nmol/L and (113.75±29.11) nmol/L, respectively. The linear mixed effects model showed that the changes of T3 and T4 were 0.027 (0.009, 0.044) nmol/L and 2.019 (1.084, 2.953) nmol/L for each one-unit increase (natural logarithm transformed) of urinary cadmium. The restricted cubic spline showed that there was a positive nonlinear association between urinary cadmium and T3 as well as T4 (all Pnonlinear<0.05). Conclusion:In selected areas of China, the urinary cadmium level of middle-aged and older adults aged 40-89 years is positively associated with T3 and T4.

Objective:To evaluate the effect of baicalein on acute myocardial injury in rats with high-level spinal cord injury (SCI) and the role of nuclear factor E2-related factor 2 (Nrf2).Methods:Twenty-four clean-grade healthy male Sprague-Dawley rats, aged 8-10 weeks, weighing 250-300 g, were divided into 4 groups ( n=6 each) using a random number table method: sham operation group (Sham group), SCI group, SCI+ baicalein group (SCI+ Bai group) and SCI+ baicalein+ ML385 group (SCI+ Bai+ ML385 group). The high-level SCI rat model was established by the modified Allens method. In Sham group, the 7th cervical vertebra (C 7) was only exposed, but the spinal cord was not hit. In SCI group, C 7 was exposed and the spinal cord was hit. In SCI+ Bai group, baicalein 50 mg/kg was intraperitoneally injected immediately after SCI. In SCI+ Bai+ ML385 group, Nrf2 inhibitor ML385 30 mg/kg was intraperitoneally injected at 1 h before SCI, and baicalein 50 mg/kg was intraperitoneally injected immediately after SCI. The rats were anesthetized at 24 h after SCI and sacrificed after the blood samples from the abdominal aorta were collected and the hearts were taken for microscopic examination of the pathological changes (by HE staining) which were scored and the ultrastructure of cells (with a transmission electron microscope) and for determination of the serum cardiac troponin I (cTnI) concentrations (by enzyme-linked immunosorbent assay), content of ferrous ion (Fe 2+ ) in myocardial tissues (by colorimetry), contents of malondialdehyde(MDA) and glutathione (GSH) and activity of superoxide dismutase(SOD) in myocardial tissues (by biochemical method) and expression of glutathione peroxidase 4 (GPX4), acyl CoA synthase long chain family member 4 (ACSl4) and Nrf2 protein and mRNA in myocardial tissues (by Western blot and fluorescent quantitative polymerase chain reaction). The mitochondrial Flameng score was assessed and recorded. Results:Compared with Sham group, the pathological score, mitochondrial Flameng score and serum cTnI concentrations were significantly increased, the contents of Fe 2+ and MDA in myocardial tissues were increased, the content of GSH and SOD activity were decreased, the expression of GPX4 was down-regulated, and the expression of ACSL4 and Nrf2 was up-regulated in SCI group ( P<0.05). Compared with SCI group, the pathological score, mitochondrial Flameng score and serum cTnI concentration were significantly decreased, the contents of Fe 2+ and MDA in myocardial tissues were decreased, the contents of GSH and SOD activity were increased, the expression of GPX4 and Nrf2 was up-regulated, and the expression of ACSL4 was down-regulated in SCI+ Bai group ( P<0.05). Compared with SCI+ Bai group, the pathological score, mitochondrial Flameng score and serum cTnI concentrations were significantly increased, the contents of Fe 2+ and MDA in myocardial tissues were increased, the content of GSH and SOD activity were decreased, the expression of GPX4 and Nrf2 was down-regulated, and the expression of ACSL4 was up-regulated in SCI+ Bai+ ML385 group ( P<0.05). Conclusions:Baicalein can alleviate acute myocardial injury in rats with high-level SCI, and Nrf2 is involved in this process.

Objective:To summarize the clinical characteristics and key points of diagnosis and treatment in children with TCF3::HLF fusion gene-positive acute lymphoblastic leukemia (ALL).Methods:A case series study was conducted. Clinical data of 8 children diagnosed with TCF3::HLF positive ALL at the Hematology Center of Beijing Children′s Hospital, Capital Medical University and the Hematology Oncology Department of Henan Children′s Hospital between January 2019 and January 2024 were collected. Descriptive analysis was performed on their clinical features, laboratory findings, treatment regimens and prognosis.Results:The cohort included 8 children (3 males and 5 females) with the age of 5.5 (3.5, 7.0) years. Bone pain was the primary clinical manifestation in 4 cases, with multi-site skeletal involvement in 4 cases, hypercalcemia in 5 cases, and coagulation abnormalities in 6 cases. Immunophenotyping revealed common B-cell lineage with myeloid markers in 7 cases and common B-cell phenotype in 1 case. All 8 children were positive for the TCF3::HLF fusion gene. Regarding treatment, 1 case abandoned therapy after diagnosis, while the remaining 7 cases received chemotherapy following the Chinese Children′s Leukemia Group-ALL2018 high-risk protocol. Only 1 case achieved minimal residual disease (MRD) negativity by day 33 of induction therapy. Among the 3 cases with MRD negativity before consolidation therapy, 1 case achieved it via conventional chemotherapy, while 2 cases required additional agents (venetoclax or blinatumomab). One case failed to achieve MRD negativity after consolidation therapy and later discontinued treatment (survival periods: 7months).Of the 4 cases who achieved MRD negativity after consolidation, 2 cases received conventional chemotherapy and 2 cases achieved negativity following chimeric antigen receptor T-cell therapy (CART). All 4 cases underwent hematopoietic stem cell transplantation (HSCT). Two cases in the CART combined with HSCT group survived as of the last follow-up (survival periods: 22 and 13 months). In the conventional chemotherapy combined HSCT group, 1 case relapsed and died (survival: 38 months), and 1 case died from transplant complications (survival: 11 months). The other 2 cases achieved MRD negativity before consolidation therapy but did not receive regular subsequent chemotherapy. After MRD recurrence, they underwent CART therapy without HSCT and remained alive at the last follow-up (survival periods: 49 and 12 months).Conclusions:Children with TCF3::HLF positive ALL often present with bone destruction accompanied by hypercalcemia and coagulopathy at initial diagnosis. This subtype of ALL shows poor response to conventional chemotherapy regimens, characterized by low early remission rates and high relapse risk even after HSCT. Better therapeutic outcomes have been observed with small molecule targeted drugs, immunotherapy and CART therapy.

Objective:To investigate the clinical significance of monitoring SIL::TAL1 fusion transcripts in the evaluation of treatment response and prognosis of children with T-acute lymphoblastic leukemia (T-ALL).Methods:A retrospective cohort study was conducted to analyze the clinical data of 46 newly diagnosed pediatric T-ALL with SIL::TAL1 fusion transcripts treated at Beijing Children′s Hospital Capital Medical University from November 2004 to December 2022. The SIL::TAL1 fusion transcripts were quantitatively detected at the initial diagnosis (TP0) and early stage of induction therapy (TP1), at the end of induction remission therapy (TP2), before consolidation therapy (TP3) and subsequent treatment. Patients were divided into negative and positive groups on SIL::TAL1 fusion transcripts level, differences of clinical features and survival among groups at TP0 to TP3 were analyzed. The χ2 test or Fisher exact test or Mann-Whitney U test was used to compare the clinical difference. Survival analysis was estimated by Kaplan-Meier method with Log-Rank testing. Multivariate analysis was conducted by Cox proportional hazards models. Results:Among the 46 children with SIL::TAL1 fusion transcripts, 36 were males and 10 were females, with the onset age of 6.8 (3.4, 9.5) years. The negative rates of SIL::TAL1 fusion transcripts for TP1,TP2, TP3, before delayed intensification Ⅰ treatment (TP4), before maintenance therapy (TP5) were 36% (13/36), 78% (32/41), 76% (32/42), 15/16, and 12/12, respectively. No significant difference was found on clinical features and prednisone response between groups at TP0-TP3 (all P>0.05). The 5-year events free survival (EFS) rate of patients classified as negative (32 cases) and positive (9 cases) groups at TP2 was (78±8)% and (33±16)%, respectively ( χ2=9.86, P=0.002), the 5-year overall survival (OS) rate was (81±7)% and (44±17)%, respectively ( χ2=6.40, P=0.011). The 5-year EFS rate of patients classified as negative (32 cases) and positive (10 cases) groups at TP3 was (78±8)% and (30±15)%, respectively ( χ2=13.04, P<0.001) and the 5-year OS rate was (84±6)% and (30±15)%, respectively ( χ2=15.95, P<0.001). Cox multivariate regression showed that positive of SIL::TAL1 transcript at TP3 was adverse independent prognostic factors for EFS and OS (EFS: HR=6.70, 95% CI 2.01-22.35, P=0.002; OS: HR=10.73, 95% CI 2.50-46.09, P=0.001). Conclusions:Monitoring SIL::TAL1 fusion transcripts can reflect the clinical treatment response. The level of SIL::TAL1 fusion transcripts at early period can predict long-term outcomes of these patients.