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.

Immature permanent teeth refer to those that have erupted but have not yet formed and matured in terms of shape and structure. The characteristics of their disease onset and treatment methods are different from those of ordinary permanent teeth. Children with special healthcare needs often lack the capacity to cooperate during routine dental procedures, making treatment under general anesthesia (GA) the preferred option. With social advancements, the demand for pediatric dental GA has considerably increased. This study discuss the treatment strategies for immature permanent teeth under GA, including diagnosis, therapeutic principles, key considerations, and clinical approaches for dental caries, pulpitis periapical periodontitis, etc.
Child ; Humans ; Anesthesia, General ; Dental Caries/diagnosis* ; Dentition, Permanent ; Periapical Periodontitis/therapy* ; Pulpitis/therapy*

ObjectiveTo investigate the core influencing factors for quality of life in patients with primary biliary cholangitis through a systematic review， and to provide an evidence-based basis for understanding such factors. MethodsThe databases including CNKI， Wanfang Data， CBM， VIP， PubMed， Embase， Web of Science， Ovid， Scopus， and Medline were searched for articles assessing the influencing factors for quality of life in patients with primary biliary cholangitis using PBC-40 scale published up to January 11， 2025. Quality assessment was conducted using the scale compiled by the Agency for Healthcare Research and Quality， and then a qualitative evaluation was performed for the basic situation of the studies included in the analysis. ResultsA total of 11 articles were included， and the results showed that age， sex， albumin， alkaline phosphatase， gamma-glutamyl transferase， direct bilirubin， total bilirubin， total bile acid， alanine aminotransferase， aspartate aminotransferase， body mass index， and high-density lipoprotein cholesterol were important influencing factors for quality of life in patients with primary biliary cholangitis. ConclusionInfluencing factors include demographic features， liver function parameters， and physical and metabolic indicators； however， due to the limited number of studies， more high-quality large-sample studies are needed in the future.

Objective To investigate the status of quality control of medical electron linear accelerators and radiation protection of machine rooms housing these accelerators in Shandong Province. Methods A total of 52 medical electron linear accelerators in 40 hospitals across Shandong Province were selected as the study subjects. A series of indicators were tested according to relevant quality control testing specifications and radiation protection testing standards. Statistical analysis was performed using SPSS 25.0. Results The five performance indicators of the 52 medical electron linear accelerators, including offset of the radiation beam axis relative to the equal center point (hereinafter referred to as the equal center point offset), dose deviation, output dose repeatability, output dose linearity, and uniformity of the square X-ray radiation field (10 cm × 10 cm), all had a qualified rate of 100%. The dose deviation of accelerators in secondary hospitals was superior to that in tertiary hospitals. The output dose linearity and uniformity of the square X-ray radiation field of accelerators in tertiary hospitals were superior to those in secondary hospitals. All machine rooms housing the investigated medical electron linear accelerators were qualified in radiation protection testing. Conclusion The performance indicators of the medical electron linear accelerators investigated in this study and the radiation protection of machine rooms all complied with national standards. Relevant hospitals should continue to strictly implement radiation protection standards and strengthen the supervision of the equipment sites.

Recently,British Society of Gastroenterology has published the guidelines on the management of autoimmune hepatitis(AIH).The guidelines provide guidance for the diagnosis and management of patients with AIH and overlap syndrome by reviewing and summarizing existing clinical evidence.The guidelines mainly focus on AIH in adults,but it is also applicable to adolescents and older children.This article presents an excerpt of the recommendations from the guidelines.

Objective:To retrospectively analyze the current status of consultation, clinical characteristics, and treatment status of patients with IgG4-related disease (IgG4-RD) in order to provide assistance and a basis for early and standardized diagnosis and treatment.Methods:IgG4-RD cases admitted to our hospital from June 2015 to October 2023 were collected. The details of patients' basic information, initial symptoms, department visits, laboratory and imaging findings, histopathological examination results, and treatment plans were recorded. A statistical descriptive analysis was performed on the data.Results:A total of 105 patients with IgG4-RD were included, with a median age of 59.0 (18.0, 78.0) years. The main departments visited were clinical immunology and gastroenterology (83.8%, 88/105). The median diagnostic duration was eight months, with a maximum of 300 months, and 33.3% (35/105) of patients needed over one year for diagnosis. 92 cases underwent histopathological examinations and IgG4 staining, with a total positivity rate of 87.0% (80/92). Among these, sixteen cases underwent pathological examination after surgery, with a positivity rate of 100%; the remaining 76 cases out of 92 underwent liver biopsy, with a positivity rate of 76.1%. Out of these, there were 22 cases from the pancreas, 21 from the submaxillary gland, nine from the labial gland, and seven each from the duodenal papilla and liver, with positivity rates of 81.8%, 81.0%, 55.6%, 85.7%, and 85.7%, respectively. Eleven cases (10.5%) with normal serum IgG4 were diagnosed based on multi-organ involvement and pathological results. 94 cases (89.5%) had elevated IgG4, with a predominance of＞2.70 g/L. The median follow-up period for the 87 cases was 14 months. Two cases had poor response, twelve patients relapsed, five cases relapsed without combined drug treatment after surgery, five cases relapsed due to drug withdrawal, and two cases relapsed while tapering off steroids.Conclusions:As a multisystem disease, IgG4-RD still faces the difficulties of time-consuming diagnosis and inappropriate treatment. Therefore, it is necessary to rely on a multidisciplinary collaboration model to improve the awareness level and promote the early and standardized diagnosis and treatment of patients with IgG4-RD.

Aim To investigate the effect of PU.1 in-hibitor DB2313 on lupus nephritis in MRL/lpr mice and its mechanism.Methods Thirty female MRL/lpr mice were randomly divided into the model group,DB2313 group and TACI-Ig group,with 10 mice in each group.Another 10 female BALB/c mice were se-lected as normal control groups.Mice in the DB2313 group received intraperitoneal DB2313 injections every two days,and those in the TACI-Ig group received subcutaneous injections of TACI-Ig every two days.Mice in the control group and model group were intra-gastrically given the same amount of 0.9％NaCl injec-tion every day.Before the drug intervention and for 1 to 5 weeks after the intervention,the urine of mice was collected regularly,the urine protein content was meas-ured,and the renal damage index was evaluated.The histopathological changes of kidney were observed by HE,Masson and PAS staining.The expression levels of immune complex of C3 in kidney tissue were detec-ted by immunohistochemistry.The concentrations of u-rea nitrogen(BUN),serum creatinine(Scr),inter-leukin-6(IL-6),and tumor necrosis factor alpha(TNF-α)in the serum samples were assayed utilizing the respective kits.The expression levels of PU.1 and FLT3 in kidney tissues were determined by immunoflu-orescence technology,and the protein expressions of PU.1,FLT3,PI3K,AKT and phosphorylated AKT(p-AKT)in kidney tissues were detected by Western blot.Results DB2313 treatment significantly allevia-ted the pathological damage of kidney in MRL/lpr mice,and reduced the deposition of C3,kidney injury index and 24-hour urine protein in renal tissue.The results of ELISA showed that DB2313 administration could significantly reduce the serum levels of BUN,Scr,IL-6 and TNF-α in MRL/lpr mice.The results of immunofluorescence and Western blot further showed that DB2313 treatment could significantly down-regu-late the protein expression of PU.1,PI3K and p-AKT,and up-regulate the protein expression of FLT3.Con-clusion DB2313 has an ameliorating effect on lupus nephritis in MRL/lpr mice,and its underlying mecha-nism may involve the inhibition of the transcription fac-tor PU.1-mediated signaling pathway.

Aim To study the regulatory effect of acupuncture pretreatment on ferroptosis of nerve cells in rats with ischemic stroke.Methods Sixty SD rats were randomly divided into sham middle cerebral artery occlusion(MCAO)group,MCAO group,and acupuncture+MCAO group.In the acupuncture+MCAO group,the acupuncture points of DU26,PC6,and SP6,were selected for acupuncture pretreatment,once a day for a total of 5 days.After pre-treatment,MCAO or sham MCAO models were prepared.The Zausinger sextintegral method was used to score the neuro-logical function of rats,and the infarct volume of brain tissue was calculated by TTC staining.Electron microscopy was used to observe the pathomorphological changes of brain tissue.The iron content was detected by colorimetric method,the content of malondialdehyde(MDA)and glutathione(GSH)was determined by ELISA,and the expression of glutathione peroxidase 4(GPX4)was detected by immunofluorescence.Results Compared with the sham MCAO group,the MCAO group had a decrease in neurological function scores,a significant increase in infarct volume,a decrease in the number of mitochondria under electron microscopy,a rupture and vacuolization of the inner mitochondrial cristae,an in-crease in the contents of iron and MDA in brain tissue,and a decrease in GSH content and GPX4 expression.Compared with the MCAO group,the acupuncture+MCAO group had an increase in neurological function scores,a decrease in infarct volume,a large number of mitochondria under electron microscopy,a clear structure,a decrease or disordered arrangement of some mitochondrial crest structures,a decrease in the contents of iron and MDA in brain tissue,and an increase in GSH content and GPX4 expression.Conclusion Acupuncture pretreatment can alleviate neurological damage in rats,and its mechanism may be related to regulating iron,GSH and MDA contents in brain tissue,and GPX4 expression,improving cell antioxidant capacity and inhibiting nerve cell ferroptosis.

Objective To establish a highly sensitive and specific method for detecting human DNA based on real time quantitative PCR(qPCR)technique for the rapid detection of potential DNA con-tamination sources in DNA laboratories.Methods Primers and probes were designed with Primer Ex-pressTM software using the reference sequence of human 18S rRNA gene as a template,and the opti-mal prime-probe combination was screened by matrix method.The PCR products of the target se-quence of human 18S rRNA gene were used to construct the plasmid,and a plasmid standard was used to draw the standard curve of the qPCR system.According to the Minimum Information for Pub-lication of Quantitative Real-time PCR Experiments(MIQE)guidelines,the specificity,sensitivity,re-peatability and application effect of the qPCR system were evaluated.Results The sensitivity of the qPCR system established in this study was 5.3×10-5 ng/μL,which showed good specificity for human DNA samples.The correlation coefficient of the qPCR system was-0.999,and amplification efficiency was 100％.Both the intra-batch and inter-batch variation coefficients were less than 2％.Conclusion The established human DNA detection method based on qPCR technique has good specificity,high sen-sitivity,and robust stability.It can be used for rapid detection of DNA contamination and daily moni-toring of the accumulated human DNA in the laboratory environment.