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.

Ethical review represents the core of the scientific and technological ethical governance， and its quality depends on the participation of ethics. The absence of ethics and ethical experts will compromise the quality of the review. According to the spirit of the Guidelines on Strengthening the Governance over Ethics in Science and Technology， this paper analyzed the process of separating scientific and technological ethics from the field of scientific research morality， clarified the ethical attributes of ethical review， and argued that scientific research and technological innovation activities originated from ethics. On this basis， the fundamental principle of “ethics first” was proposed， aiming to proactively embed ethical considerations throughout the entire process of scientific and technological activities. This principle was the primary requirement for ensuring governance effectiveness and can also eliminate the risk of ethics being obscured in ethical governance. In practice， “ethics first” manifested specifically in dimensions such as prioritizing academic systems， prioritizing publicity， education， and training， as well as further advancing ethical considerations.

Objective:To investigate the effect of organ dose modulation(ODM)technique on radiation dose and image quality in computed tomography angiography(CTA)for arteries of both lower extremities.Methods:A total of sixty patients with suspected lower extremity arterial occlusion who underwent CTA examination on both lower extremities at Beijing Friendship Hospital affiliated to Capital Medical University from March 2024 to June 2024 were selected.They were randomly divided into an ODM group and a non-ODM group,with 30 patients in each group.All patients underwent CTA examination with the same scanning parameters.The tube currents in the pelvic region,which included 4 directions(anterior,left,posterior and right),of two groups of patients were recorded,and the CT values,SD values,volumetric CT dose index(CTDIvol)and dose-length product(DLP)of femoral artery and external iliac artery of the regions of interest(ROI)in the pelvic region were respectively measured,and the image quality of them was analyzed by subjective scores.Results:The tube current in front of the pelvic cavity was(109.17±35.62)mA in ODM group,which decreased by 42%than(185.58±55.38)mA in non-ODM group,and the difference was statistically significant(t=-4.781,P<0.05).There were no statistically significant differences in CTDIvol values,DLP values,and CT values and signal noise ratio(SNR)of femoral artery and external iliac artery of the regions of interest(ROI)in the pelvic region between two groups(P>0.05).The subjective scores for image quality of two groups were≥4 points,and there was not statistically significant difference in that between two groups(P>0.05).Conclusion:The application of ODM technique in CTA examination for both lower extremities can realize protective function for surface gonadal organs when ensures image quality,which can meet the needs of clinical diagnosis.It has clinical application value.

Molecularly imprinted polymers(MIPs)of colchicine(COL)were prepared by precipitation polymerization with COL as template,methacrylic acid(MAA)as monomer,ethylene glycol dimethacrylate(EGDMA)as crosslinking agent,azobisisobutyronitrile(AIBN)as initiator and chloroform as porogen.The basic structure of the prepared MIPs was characterized by scanning electron microscopy(SEM),transmission electron microscopy(TEM)and Fourier transform infrared(FT-IR)spectrometry,and the adsorption properties of MIPs were evaluated by kinetic adsorption,isothermal adsorption and selective adsorption experiments.The results indicated that the prepared MIPs had uniform particles size,with a maximum adsorption capacity of 62.61 mg/g for COL and an imprinting factor of 3.74,and was suitable for sample pretreatment in determination of COL blood concentration,enabling the enrichment and separation of trace or even ultra-trace target components,thereby improving analytical capabilities.

Aim To explore the MST1 knockdown at-tenuates the inhibitory effect of salvianolic acid B(Sal B)on pERK anti-renal fibrosis.Methods In vitro experiments stimulated human renal cortical proximal tubular epithelial cells(HK-2)with XMU-XP-1(10μmol·L-1)inhibitor;in vivo experiments induced wild-type(WT)and MST1 systemic knockout mouse(MST1-/-)renal fibrosis models with DEN/CCl4/C2H5OH(DCC)and interfered with Sal B(15 mg·kg-1·d-1,ig)intervention.Renal histopathology was observed by HE and Masson staining;α-SMA and pERK protein expression was detected by Western blot;and pERK protein expression was detected by im-munofluorescence.Results In vitro results showed that Sal B could inhibit pERK protein expression.In vivo results showed that Sal B could improve DCC-in-duced renal tissue pathological injury and inhibit α-SMA and pERK protein expression;MST1-/-aggrava-ted pathological injury and significantly up-regulated α-SMA and pERK protein expression.Conclusion Sal B reduces the stimulatory effect of XMU-MP-1 on HK-2 cells by inhibiting the phosphorylation of ERK protein;Sal B exerts its anti-renal fibrosis effect by inhibiting the phosphorylation of α-SMA protein and ERK pro-tein;and MST1-/-,aggravating the pathological inju-ry of renal tissue,significantly up-regulated the expres-sion of α-SMA and pERK protein,which in turn atten-uated the antirenal fibrosis effect of Sal B.

OBJECTIVE: To describe survival trends and global patterns of esophageal cancer (EC) using survival data from population-based cancer registries. METHODS: We systematically searched PubMed, EMBASE, Web of Science, SEER, and SinoMed databases for articles published up to 31 December 2023. Eligible EC survival estimates were evaluated according to country or region, period, sex, age group, pathology, and disease stage. RESULTS: After 2010, Jordan exhibited the highest age-standardized 5-year relative survival rates (RSRs)/net survival rates (NSRs) at 41.1% between 2010 and 2014, while India had the lowest, at 4.1%. Survival rates generally improved with diagnostic age across most countries, with significant increases in South Korea and China, of 12.7% and 10.5% between 2000 and 2017, respectively. Survival was higher among women compared to men, ranging from 0.4%-10.9%. Survival rates for adenocarcinoma and squamous cell carcinoma were similar, differing by about 4%. In China, the highest age-standardized RSRs/NSRs was 33.4% between 2015 and 2017. Meanwhile, the lowest was 5.3%, in Qidong (Jiangsu province) between 1992-1996. CONCLUSION Global EC survival rates have improved significantly in recent decades, but substantial geographical, sex, and age disparities still exist. In Asia, squamous cell carcinoma demonstrated superior survival rates compared to adenocarcinoma, while the opposite trend was observed in Western countries. Future research should clarify the prognostic factors influencing EC survival and tailor prevention and screening strategies to the changing EC survival patterns.
Humans ; Esophageal Neoplasms/mortality* ; Registries ; Male ; Female ; Survival Analysis ; Middle Aged ; Survival Rate ; Aged ; Global Health

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Aim To explore the MST1 knockdown at-tenuates the inhibitory effect of salvianolic acid B(Sal B)on pERK anti-renal fibrosis.Methods In vitro experiments stimulated human renal cortical proximal tubular epithelial cells(HK-2)with XMU-XP-1(10μmol·L-1)inhibitor;in vivo experiments induced wild-type(WT)and MST1 systemic knockout mouse(MST1-/-)renal fibrosis models with DEN/CCl4/C2H5OH(DCC)and interfered with Sal B(15 mg·kg-1·d-1,ig)intervention.Renal histopathology was observed by HE and Masson staining;α-SMA and pERK protein expression was detected by Western blot;and pERK protein expression was detected by im-munofluorescence.Results In vitro results showed that Sal B could inhibit pERK protein expression.In vivo results showed that Sal B could improve DCC-in-duced renal tissue pathological injury and inhibit α-SMA and pERK protein expression;MST1-/-aggrava-ted pathological injury and significantly up-regulated α-SMA and pERK protein expression.Conclusion Sal B reduces the stimulatory effect of XMU-MP-1 on HK-2 cells by inhibiting the phosphorylation of ERK protein;Sal B exerts its anti-renal fibrosis effect by inhibiting the phosphorylation of α-SMA protein and ERK pro-tein;and MST1-/-,aggravating the pathological inju-ry of renal tissue,significantly up-regulated the expres-sion of α-SMA and pERK protein,which in turn atten-uated the antirenal fibrosis effect of Sal B.

Objective:To preliminarily evaluate the lumen gain of sonodynamic therapy (SDT) mediated by sinoporphyrin sodium at carotid and femoral atherosclerotic plaque sites, and to assess whether concomitant statin use, lesion location, plaque echogenicity/type, and baseline stenosis severity modify the therapeutic response.Methods:This single-center, prospective, exploratory pilot clinical study enrolled patients with peripheral artery disease who attended the outpatient cardiology clinic of the First Affiliated Hospital of Harbin Medical University between February and September 2016. All enrolled patients received optimized oral medical therapy in combination with a single session of SDT. Vascular evaluation was performed using color Doppler ultrasound before treatment and 1 and 4 weeks after treatment. The primary efficacy endpoint was the percent change from baseline in luminal diameter stenosis at the site of the atherosclerotic plaque (%Δ) at week 4, while the secondary efficacy endpoint was %Δ at week 1. Subgroup analyses were conducted according to prior statin use, plaque location, plaque characteristics, and baseline degree of luminal stenosis.Results:A total of 24 patients, aged (70.7±2.2) years were enrolled. There were 20 (83%) males. Compared to baseline, luminal diameter stenosis at the plaque site reduced by week 4 ((50.1±1.2)% vs. (57.2±1.1)%, P<0.001), %Δ was(12.32±1.05)%; and luminal diameter stenosis also reduced by week 1 ((51.7±1.2)% vs. (57.2±1.1)%, P<0.001)), %Δ was(9.61±0.85)%. In subgroup analyses, the treatment effect on diameter stenosis was independent of prior statin use; SDT reduced stenosis in both carotid and femoral plaques; with superior efficacy observed in hypoechoic and mixed-echo plaques; and efficacy was observed across mild, moderate, and severe baseline stenosis categories (all P<0.05). Conclusion:In this single-center pilot study, SDT demonstrates therapeutic efficacy across mild, moderate, and severe stenoses, as well as in hypoechoic and mixed-echo plaques, showing potential to rapidly promote luminal gain at carotid and femoral atherosclerotic plaque sites.