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.

OBJECTIVE: To analyze the clinical characteristics, treatment effect and prognosis of patients with non-Hodgkin lymphoma (NHL) complicated by hypercalcemia. METHODS: The clinical features, treatment and prognosis of 47 patients with NHL complicated by hypercalcemia in Ningde Municipal Hospital of Ningde Normal University and Affiliated Hospital of Nantong University from January 2018 to January 2023 were retrospectively analyzed. RESULTS: Among the 47 lymphoma patients, 33 cases were T-cell NHL, 14 cases were B-cell NHL. The median serum calcium level of the 47 patients was 3.10 (2.77-4.86) mmol/L, with 27 cases (57.4%) experiencing mild hypercalcemia (2.75-3.00 mmol/L), 8 cases (17.0%) experiencing moderate hypercalcemia (3.00-3.50 mmol/L), and 12 cases (25.5%) experiencing severe hypercalcemia (>3.50 mmol/L). All 47 patients were treated with hydration, alkalization, diuresis, etc. 32 cases (68.1%) received combination chemotherapy, 21 cases (44.7%) received salmon calcitonin treatment, and 3 cases were treated with denosumab in 5 patients with renal insufficiency. After treatment, 38 patients' serum calcium gradually returned to normal, with a median recovery time of 6 (1-18) days, while 9 patients still failed to recover their serum calcium after treatment and all died within 1 month. 32 patients undergoing combination chemotherapy were evaluated for efficacy after 2-4 courses of chemotherapy. Among them, 8 cases (25.0%) achieved complete response (CR), 11 cases (34.4%) achieved partial response (PR), 7 cases (21.9%) showed stable disease (SD), and 6 cases (18.8%) showed progressive disease (PD). The median follow-up time was 10 months. There were 13 cases of disease progression after combination chemotherapy and a total of 28 deaths. The survival time ranged from 0.8 to 23.7 months, and the median progression time was 4.9 months. Multivariate Cox regression analysis showed that the T-cell NHL, blood calcium >3.5 mmol/L, and no decrease in blood calcium after treatment were independent risk factors for the OS, and the T-cell NHL was independent risk factors for the PFS. CONCLUSION NHL complicated by hypercalcemia has a poor prognosis, and hypercalcemia can be used as one of the indicators reflecting the tumor burden. Patients with NHL complicated by hypercalcemia should be given more clinical attention and treated actively.
Humans ; Hypercalcemia/complications* ; Lymphoma, Non-Hodgkin/diagnosis* ; Prognosis ; Retrospective Studies ; Female ; Male ; Middle Aged ; Adult ; Aged ; Calcium/blood*

Objective To explore the impact of SARS-CoV-2-positive donors on the prognosis of heart transplant recipients. Methods The Medline, EMbase, CENTRAL, CNKI, Wanfang Data, VIP and China Biology Medicine from inception to May 2023 were searched by computer for studies about impact of SARS-CoV-2-positive donors on the prognosis of heart transplant recipients. The data were extracted from all the relevant literatures, and the quality of the data was assessed using the Newcastle-Ottawa Scale (NOS). All statistical analyses were conducted by the Stata 11.0 software. Results A total of 10 studies (NOS score ranging from 5 to 9 points) involving 643 patients were enrolled. The pooled results demonstrated that the pooled mortality of heart transplant recipients from SARS-CoV-2-positive donors was 4% (95%CI 2% to 5%). And the incidence of composite outcome, regarding graft failure, rejection and death as poor prognosis, was 7% (95%CI 5% to 9%). Besides, compared with recipients from SARS-CoV-2-negative donors, the pooled odds ratio (OR) value of death of SARS-CoV-2-positive donors was 0.68 (95%CI 0.38 to 1.22, Z=1.28, P=0.200). The pooled OR value of rejection rate was 0.41 (95%CI 0.27 to 0.64, Z=3.97, P<0.005). For the composite outcome, the pooled OR value was 0.50 (95%CI 0.37 to 0.69, Z=4.30, P<0.005). In addition, there was no statistical difference in the length of hospital stay between heart transplant recipients from SARS-CoV-2-positive donors and negative donors (SMD=–0.03, 95%CI –0.22 to 0.15, Z=0.36, P=0.720). Conclusion The application of heart from SARS-CoV-2-positive donor for transplantation is safe and feasible. However, further prospective studies with longer follow-up are still needed to verify its impact on long-term outcomes.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

Objective:To develop a Cognitive Assessment Scale for Spinal Cord Injury (SCI) Rehabilitation and conduct reliability and validity tests in community-dwelling patients with SCI.Methods:Based on expectation value theory, social cognition theory, and goal setting theory, a Cognitive Assessment Scale for SCI Rehabilitation was developed through literature review, group discussions, patient trials, and expert verification. From February to December 2021, convenience sampling was used to select 231 community-dwelling patients with SCI as research subjects, including 67 community-dwelling patients with SCI who participated in rehabilitation training at Shanghai Sunshine Rehabilitation Center and 164 patients with SCI in the "Hope Home" WeChat group of Shanghai Sunshine Rehabilitation Center. Research subjects were surveyed using the Cognitive Assessment Scale for SCI Rehabilitation (patient version), 9-item depression scale of Patient Health Questionnaire, 7-item Generalized Anxiety Disorder Scale, EuroQol 5 Dimension-Visual Analogue Scale (EQ-VAS), General Self-Efficacy Scale, and general information questionnaire. SPSS 16.0 software and Amos 21.0 software were used for correlation analysis and reliability and validity testing.Results:The Cognitive Assessment Scale for SCI Rehabilitation (patient version) included two primary dimensions, eight secondary dimensions, and 24 items. The trial showed good results among patients with SCI and their caregivers, and experts generally agreed. Exploratory factor analysis found that the scale were divided into recognition dimension and understanding dimension. Cronbach's α coefficient of the scale was 0.98, the correlation coefficient between each item and its corresponding dimension was 0.75 to 0.88, and our results indicated good test-retest reliability. Correlation analysis showed that patient anxiety and depression scores were negatively correlated with rehabilitation cognitive scores ( P<0.05), and self-efficacy, quality of life were positively correlated with rehabilitation cognitive scores ( P<0.05) . Conclusions:The Cognitive Assessment Scale for SCI Rehabilitation is scientific and feasible, with good reliability and validity, and can be used to evaluate the rehabilitation cognition of community-dwelling patients with SCI.

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.

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 design a novel oxygenator to solve the existing problems of extracorporeal membrane oxygenation(ECMO)machine in high transmembrane pressure difference,low efficiency of blood oxygen exchange and susceptibility to thrombosis.Methods The main body of the oxygenator vascular access flow field was gifted with a flat cylindrical shape.The topology of the vascular access was modeled in three dimensions,and the whole flow field was cut into a blood inlet section,an inlet buffer,a heat exchange zone,a blood oxygen exchange zone,an outlet buffer and a blood outlet section.The oxygenator was compared with Quadrox oxygenator by means of ANSYS FLUENT-based simulation and prototype experiments.Results Simulation calculations showed the oxygenator designed was comparable to the clinically used ones in general,and gained advantages in transmembrane pressure difference,blood oxygen exchange and flow uniformity.Experimental results indicated that the oxygenator behaved better than Quadrox oxygenator in transmembrane pressure difference and blood oxygen exchange.Conclusion The oxygenator has advantages in transmem-brane pressure difference,temperature change,blood oxygen ex-change and low probability of thrombosis.[Chinese Medical Equipment Journal,2024,45(3):23-28]

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*

OBJECTIVE: To investigate the mechanism of induction of ferroptosis by brazilin in breast cancer cells. METHODS: Breast cancer 4T1 cells were divided into 6 groups: control, brazilin 1/2 half maximal inhibitory concentration (IC₅₀), IC₅₀, 2×IC₅₀, erastin (10 µg/mL) and capecitabine (10 µg/mL) groups. The effect of brazilin on the proliferation of 4T1 cells was detected by cell counting kit-8 assay, and the treatment dose of brazilin was screened. The effect of brazilin on the mitochondrial morphology of 4T1 cells, and the mitochondrial damage was evaluated under electron microscopy. The levels of Fe²⁺, reactive oxygen species (ROS), malondialdehyde (MDA), glutathione (GSH) and glutathione peroxidase 4 (GPX4) were estimated using various detection kits. The invasion and migration abilities of 4T1 cells were detected by scratch assay and transwell assay. The expressions levels of tumor protein p53, solute carrier family 7 member 11 (SLC7A11), GPX4 and acyl-CoA synthetase long-chain family member 4 (ACSL4) proteins were quantified by Western blot assay. RESULTS: Compared to the control group, the 10 (1/2 IC₅₀), 20 (IC₅₀) and 40 (2×IC₅₀) µg/mL brazilin, erastin, and capecitabine groups showed a significant decrease in the cell survival rate, invasion and migration abilities, GSH, SLC7A11 and GPX4 protein expression levels, and mitochondrial volume and ridge (P<0.05), and a significant increase in the mitochondria membrane density, Fe²⁺, ROS and MDA levels, and p53 and ACSL4 protein expression levels (P<0.05). CONCLUSIONS Brazilin actuated ferroptosis in breast cancer cells, and the underlying mechanism is mainly associated with the p53/SLC7A11/GPX4 signaling pathway.
Ferroptosis/drug effects* ; Phospholipid Hydroperoxide Glutathione Peroxidase/metabolism* ; Breast Neoplasms/drug therapy* ; Signal Transduction/drug effects* ; Female ; Cell Line, Tumor ; Tumor Suppressor Protein p53/metabolism* ; Amino Acid Transport System y+/metabolism* ; Humans ; Reactive Oxygen Species/metabolism* ; Animals ; Mice ; Cell Proliferation/drug effects* ; Mitochondria/metabolism* ; Coenzyme A Ligases/metabolism* ; Cell Movement/drug effects* ; Benzopyrans