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 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]

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.

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*

OBJECTIVE: This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province. METHODS: We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed. RESULTS: The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α ^3.7/αα (50.23%) and β ^IVS-II-654/β ^N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively. CONCLUSION Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Hemoglobinopathies/genetics* ; China/epidemiology* ; High-Throughput Nucleotide Sequencing

OBJECTIVE: To investigate the expression and prognostic value of cytokines in patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). METHODS: Clinical data of 62 patients diagnosed with DLBCL in the First People's Hospital of Yunnan Province from June 2017 to November 2018 were collected. The differences in expression levels of 14 serum cytokines [interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, IL-17A, IL-17F, IL-22, interferon (IFN)-γ, tumor necrosis factor (TNF)-α, TNF-β] in patients with different survival outcomes, and the impact of the cytokines on 3-year progression-free survival (PFS) and 3-year overall survival (OS) of patients with DLBCL were analyzed retrospectively. RESULTS: Among the 14 cytokines, only the expression of IL-10 was significantly different in patients with different survival outcomes (P =0.007). According to the receiver operating characteristic (ROC) curve, the optimal cut-off value for IL-10 was 11.74 pg/ml. Serum IL-10 was positively correlated with infection markers procalcitonin (PCT) (r =0.321, P =0.029), C-reactive protein (CRP) (r =0.320, P =0.013) and tumor burden index lactate dehydrogenase (LDH) (r =0.439, P <0.001) in newly diagnosed DLBCL patients. The level of IL-10 in patients with pulmonary infection was significantly higher than that in patients without pulmonary infection (P =0.012). However, there was no statistically significant difference on the 3-year survival outcomes between patients with or without pulmonary infection. There was no significant difference in IL-10 level in patients with different Ann Arbor stages (P >0.05). Patients with high IL-10 level (IL-10>11.74 pg/ml) had significantly higher LDH level than those with low IL-10 level (IL-10≤11.74 pg/ml) (P <0.001). The 3-year PFS rate and 3-year OS rate of DLBCL patients with high IL-10 level were significantly lower than those of low IL-10 level group [(44.4±11.7)% vs (81.8±5.8)%, P <0.001; (61.6±11.5)% vs (93.2±3.8)%, P =0.001]. CONCLUSION Serum IL-10 level in newly diagnosed DLBCL patients can reflect the inflammatory state of the body, which may be related to tumor load. Newly diagnosed DLBCL patients with serum IL-10>11.74 pg/ml have higher early mortality and worse prognosis.
Humans ; Prognosis ; Cytokines ; Interleukin-10 ; Retrospective Studies ; China ; Lymphoma, Large B-Cell, Diffuse/drug therapy* ; Tumor Necrosis Factor-alpha ; Antineoplastic Combined Chemotherapy Protocols

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

ObjectiveTo assess the value of apparent diffusion coefficient （ADC） in the treatment of uterine fibroid using magnetic resonance guided focused ultrasound surgery （MRgFUS）. MethodsThe MRI and clinical data of 56 patients with uterine fibroid before， at 3 and 6 months after MRgFUS treatment， at Foshan Hospital of Traditional Chinese Medicine from December 2018 to October 2022， were retrospectively analyzed. The correlation between the ADC value and lesion volume， symptoms severity score （SSS） and uterine fibroid symptoms quality of life questionnaire （UFS-QOL） were analyzed. ANOVA was used to compare the differences in related parameters before and after treatment， and Pearson’s method was performed to analyze data correlation. ResultsThere were significant differences in ADC value ［（1.11±0.13）， （1.84±0.09）， （2.12±0.24），×10^-3/（mm²/s）］， lesion volume （102±35.30， 56.70±18.88， 46.93±18.99，cm³）， SSS （36.73±11.74， 21.77±10.21， 17.66±9.30） and UFS-QOL score （59.05±17.48， 76.54±16.50， 82.46±12.37） between before treatment and each time point after treatment （F value was 557.837， 73.589， 53.976 and 37.606， respectively， all P<0.05）. The ADC values were negatively correlated with lesion volume and SSS， and positively correlated with UFS-QOL score， with correlation coefficients of -0.586， -0.630 and 0.592， respectively （all P<0.05）. ConclusionThe ADC value has clinical significance for the treatment of uterine fibroid using MRgFUS.

The paper summarizes professor LIN Guo-hua's clinical experience in staging treatment for post-stroke dysphagia. Professor LIN Guo-hua adheres to "essence and marrow deficiency and primary yang decline" as the pathogenesis and "conducting yin from yang " as the treating principle. By regulating the conception vessel and the governor vessel and focusing on yang meridians, in association with meridian differentiation and the location differentiation, professor LIN provides the staging treatment for post-stroke dysphagia. At the oral phase, yangming is dysfunction, manifested as facial paralysis and flaccid tongue. In treatment, reducing method is predominated at yangming meridian specially. At the pharyngeal phase, shaoyang is invaded by pathogens, manifested as pivoting dysfunction. The treatment focuses on communicating the exterior with the interior and promoting shaoyang meridian. At the esophageal phase, yangming meridian is deficiency and the turbid qi fails to descend, thus the reinforcing method is dominated to promote and tonify yangming. Additionally, the kinesiotherapy of acupuncture is assisted and the Lingnan fire needling therapy is used particularly. All of the summaries above provide the reference for the clinical treatment of post-stroke dysphagia.
Acupuncture ; Acupuncture Points ; Acupuncture Therapy ; Deglutition Disorders/therapy* ; Humans ; Meridians