ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Human carboxylesterase 2A (hCES2A) plays pivotal roles in prodrug activation and hydrolytic metabolism of ester-bearing chemicals. Targeted inhibition of intestinal hCES2A represents a feasible strategy to mitigate irinotecan-triggered gut toxicity (ITGT), but the orally active, selective, and efficacious hCES2A inhibitors are rarely reported. Here, a novel drug-like hCES2A inhibitor was developed via three rounds of structure-based drug design (SBDD) and structural optimization. Initially, donepezil was identified as a moderate hCES2A inhibitor from 2000 US Food and Drug Administration (FDA)-approved drugs. Following two rounds of SBDD and structural optimization, a donepezil derivative (B7) was identified as a strong reversible hCES2A inhibitor. Subsequently, nine B7 carbamates were rationally designed, synthesized and biologically assayed. Among all synthesized carbamates, C3 showed the most potent time-dependent inhibition on hCES2A (IC₅₀ = 0.56 nmol/L), excellent specificity and favorable drug-like properties. C3 could covalently modify the catalytic serine of hCES2A with high selectivity, while this agent also showed favorable safety profiles, high intestinal exposure, and impressive effects for ameliorating ITGT in both human intestinal organoids and tumor-bearing mice. Collectively, this study showcases a rational strategy for developing drug-like and serine-targeting covalent inhibitors against target serine hydrolase(s), while C3 emerges as a promising orally active drug candidate for ameliorating ITGT.

Objective To study the in vitro expression of three phenylalanine hydroxylase(PAH)mutants(p.R243Q,p.R241C,and p.Y356X)and determine their pathogenicity.Methods Bioinformatics techniques were used to predict the impact of PAH mutants on the structure and function of PAH protein.Corresponding mutant plasmids of PAH were constructed and expressed in HEK293T cells.Quantitative reverse transcription polymerase chain reaction was used to measure the mRNA expression levels of the three PAH mutants,and their protein levels were assessed using Western blot and enzyme-linked immunosorbent assay.Results Bioinformatics analysis predicted that all three mutants were pathogenic.The mRNA expression levels of the p.R243Q and p.R241C mutants in HEK293T cells were similar to the mRNA expression level of the wild-type control(P>0.05),while the mRNA expression level of the p.Y356X mutant significantly decreased(P<0.05).The PAH protein expression levels of all three mutants were significantly reduced compared to the wild-type control(P<0.05).The extracellular concentration of PAH protein was reduced in the p.R241C and p.Y356X mutants compared to the wild-type control(P<0.05),while there was no significant difference between the p.R243Q mutant and the wild type control(P>0.05).Conclusions p.R243Q,p.R241C and p.Y356X mutants lead to reduced expression levels of PAH protein in eukaryotic cells,with p.R241C and p.Y356X mutants also affecting the function of PAH protein.These three PAH mutants are to be pathogenic.[Chinese Journal of Contemporary Pediatrics,2024,26(2):188-193]

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the clinical characteristics of Ureaplasma urealyticum(UU)infection and colonization in extremely preterm infants and its impact on the incidence of bronchopulmonary dysplasia(BPD).Methods A retrospective analysis was conducted on 258 extremely preterm infants who were admitted to the Department of Neonatology,Shenzhen Maternity and Child Healthcare Hospital,from September 2018 to September 2022.According to the results of UU nucleic acid testing and the evaluation criteria for UU infection and colonization,the subjects were divided into three groups:UU-negative group(155 infants),UU infection group(70 infants),and UU colonization group(33 infants).The three groups were compared in terms of general information and primary and secondary clinical outcomes.Results Compared with the UU-negative group,the UU infection group had significant increases in the incidence rate of BPD,total oxygen supply time,and the length of hospital stay(P<0.05),while there were no significant differences in the incidence rates of BPD and moderate/severe BPD between the UU colonization group and the UU-negative group(P>0.05).Conclusions The impact of UU on the incidence of BPD in extremely preterm infants is associated with the pathogenic state of UU(i.e.,infection or colonization),and there are significant increases in the incidence rate of BPD,total oxygen supply time,and the length of hospital stay in extremely preterm infants with UU infection.UU colonization is not associated with the incidence of BPD and moderate/severe BPD in extremely preterm infants.

Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

BACKGROUND:The study of the lumbar spine and pelvis in patients with Lenke type 5 lordosis is limited to the coronal and sagittal planes,and the three-dimensional relationship between the scoliosis and the pelvis has not yet been clarified. OBJECTIVE:To analyze the effect of lumbar scoliosis on the pelvis in patients with Lenke type 5 lordosis and to study the correlation between the lumbar spine and the three-dimensional spatial position of the pelvis. METHODS:Imaging data of 60 patients with Lenke type 5 lordosis scoliosis admitted to the 3D Printing Reception Center of Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine from January 2019 to September 2023 were retrospectively analyzed,including Cobb angle,coronal pelvic tilt,lumbar lordosis,left and right pelvic hip width ratio(sacroiliac-anterior superior iliac spine),spinal rotation angle,pelvic tilt,sacral slope,pelvic incidence,coronal deformity angular ratio,sagittal deformity angular ratio,C7 plumb line-center sacral vertical line,apical vertebral translation,and coronal sacral inclination.The information was summarized as a database.SPSS 22.0 software was used to analyze the data related to the lumbar spine and pelvis of the patients with Lenke type 5 primary lumbar curvature adolescent idiopathic scoliosis using Spearman's correlation analysis and linear regression. RESULTS AND CONCLUSION:(1)Cobb angle was highly positively correlated with coronal deformity angular ratio,apical vertebral translation,and spinal rotation angle(r=0.91,r=0.841,r=0.736).(2)Coronal deformity angular ratio was highly positively correlated with apical vertebral translation(r=0.737),moderately positively correlated with C7 plumb line-center sacral vertical line(r=0.514),and moderately negatively correlated with sagittal deformity angular ratio(r=-0.595).(3)There was a high positive correlation between lumbar lordosis and sagittal deformity angular ratio(r=0.942)and a moderate negative correlation with coronal deformity angular ratio(r=-0.554).(4)There was a moderate positive correlation between Cobb angle with coronal pelvic tilt and coronal sacral inclination(r=0.522,r=0.534)and a moderate positive correlation between C7 plumb line-center sacral vertical line and coronal pelvic tilt(r=0.507).Apical vertebral translation with coronal pelvic tilt and coronal sacral inclination showed a moderate positive correlation(r=0.507,r=0.506).Lumbar lordosis with sacral slope and pelvic incidence showed a moderate positive correlation(r=0.512,r=0.538).Sagittal deformity angular ratio was moderately positively correlated with sacral slope and pelvic incidence(r=0.614,r=0.621).(5)Studies have found that the relative position of the lumbar spine and the pelvis is closely related in the horizontal,sagittal and coronal planes.When the lumbar spine affects scoliosis and is rotated,the relative position of the pelvis will also change to compensate,which indicates that while correcting scoliosis,the correction of the pelvis cannot be ignored.

Objective:To explore the effect of psychological nursing on the prognosis of male patients with urethral riding inju-ry treated by ureteroscopic urethral catheter implantation(UCI).Methods:This study included 63 male patients with urethral strad-dle injury treated in the General Hospital of Southern Theater Command from February 2020 to March 2023.We divided the patients into a control(n=29)and an experimental group(n=34)according to the odd-or even-numbered days of admission and treated them by ureteroscopic UCI.Meanwhile those of the former group received routine nursing care and the latter underwent psychological nursing intervention in addition.We obtained the Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)scores of the patients,recorded their postoperative pain scores,catheter-removal time,hospitalization days,postoperative complications and o-verall recovery status,and compared the data collected between the two groups.Results:At 3 days after surgery,both the SAS and SDS scores were significantly lower in the experimental group than in the control(SAS:45.2±2.9 vs 50.4±3.6,P<0.05;SDS:41.9±2.5 vs 48.3±4.0,P<0.05),and so were the pain scores at24 hours(6.2±0.6 vs 6.8±0.9,P<0.05),48 hours(4.9±0.7 vs 6.1±0.8,P<0.05)and 72 hours after surgery(2.5±0.6 vs 3.9±0.9,P<0.05).The hospitalization time was remarkably shorter in the experimental than in the control group([14.1±2.9]vs[16.1±3.4]d,P<0.05),but there was no statistically significant difference in the time of postoperative catheterization between the two groups of patients([19.3±3.7]vs[19.6±4.4]d,P>0.05).A30-day postoperative follow-up found2 cases of difficult urination in the control group but no com-plications in the experimental group.Conclusion:Ureteroscopic UCI is a safe,effective and minimally invasive treatment method for male urethral riding injury,and psychological nursing helps not only shorten the time of catheterization and hospitalization but also a-void postoperative complications.

Aim To disclose the subcellular localiza-tion,expression pattern,cellular physiological function and possible molecular mechanism of C12ORF56,a novel gene located at q14.2 of chromosome 12,in the pathogenesis of lung cancer.Methods ONCOMINE database was applied to investigate the mRNA level dif-fering of C12ORF56 between normal and lung cancer tissues.Analysis based on LinkedOmics,Metascape,String and GSEA database or tools provided indication of potential cellular physiological functions of C12ORF56 in the developing of lung cancer.C12ORF56 was knocked down via siRNA and the pro-liferation of NCI-H1073 cells were observed by EdU and CCK-8 assay.RT-qPCR was used to detect the ex-pression level of C12ORF56 of lung cancer cells on dif-ferent cycle phases.The core sequence regions of pro-moter affecting the transcription of C12ORF56 gene were analyzed by Jaspar online-tools and verified by dual-luciferase assay.Results C12ORF56 was highly expressed in lung cancer cells,especially in squamous cell lung cancer.C12ORF56 correlated with cell cy-cle,cancer immune,DNA replication.Knockdown of C12ORF56 reduced NCI-H1703 cell proliferation.Conclusion The up-regulation of C12ORF56 is in-volved in the development of lung cancer by enhancing lung cancer cell proliferation.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*