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.

Despite significant advancements in treatments for heart failure,the overall prognosis for patients remains poor.Hemodynamic abnormalities in heart failure manifest as elevated left atrial pressure and pulmonary congestion.Previous studies have shown that reducing left atrial pressure can improve symptoms and prognosis for heart failure patients,suggesting that left-sided heart overload may be a potential target for heart failure treatment.Atrial shunting procedures aim to create a stable and controlled left-to-right intracardiac shunt,restoring the decompensated left heart volume and pressure load in heart failure patients to a compensatory state,thereby improving heart failure symptoms and prognosis.Currently,this treatment is still in the clinical research stage globally.Existing data indicate that atrial shunting procedures can lower left atrial pressure at rest or during exercise in heart failure patients,improve pulmonary congestion,enhance patients'exercise tolerance,and clinical cardiac function.However,no studies have yet confirmed that it can improve clinical endpoints such as rehospitalization and mortality due to heart failure.Future research will focus on identifying heart failure patients who may benefit from atrial shunting,with assessments of heart failure etiology,right heart function,and reversibility of pulmonary vascular resistance,as well as heart failure classification based on ejection fraction,serving as potential key factors for patient selection.

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China

OBJECTIVE: To analyze the factors related to pregnancy of endometriosis and whether Chinese herbal medicines (CHMs) can improve pregnancy outcomes in patients with endometriosis in long-term management. METHODS: This multicenter cohort study retrospectively analyzed the clinical data of endometriosis patients with fertility needs from January 2019 to November 2019. A total of 252 patients with endometriosis from 5 level-III Grade A hospitals in Beijing were included in this study. Univariate and multivariate logistic regression analysis were performed for the relevant factors. The propensity score matching (PSM) function of SPSS software was used to match the CHMs group with the non-CHMs group. The pregnancy rate and live birth rate were analyzed. RESULTS: The results of univariate analysis showed that age, disease course, presence of infertility, presence of adenomyosis, time after surgery or use of gonadotropin-releasing hormone agonist (GnRH-a), use of CHMs and follow-up time were influencing factors of pregnancy in endometriosis patients (P<0.05). The results of multivariate analysis showed that age, presence of adenomyosis, time after surgery or use of GnRH-a, use of CHMs and follow-up time were independent factors affecting pregnancy in endometriosis patients, among which, age ⩾35 years old, presence of adenomyosis and follow-up time >6 months were independent risk factors (OR=0.445, 0.348, 0.140, respectively, P<0.05), time after surgery or use of GnRH-a ⩽6 months and use of CHMs were independent protective factors (OR=3.839, 3.842, respectively, P<0.05). After PSM, 99 pairs of two groups were matched successfully. The pregnancy rate of the CHMs group was higher than that of the non-CHMs group [55.56% (55/99) vs. 36.36% (36/99), P<0.05]. The live birth rate of the CHMs group was higher than that of the non-CHMs group [49.49% (49/99) vs. 35.35% (35/99), P<0.05]. CONCLUSION CHMs can effectively improve clinical pregnancy rate and live birth rate of patients with endometriosis in the chronic disease management.
Pregnancy ; Female ; Humans ; Adult ; Pregnancy Outcome ; Endometriosis/surgery* ; Retrospective Studies ; Cohort Studies ; Adenomyosis ; Gonadotropin-Releasing Hormone ; Plant Extracts ; Fertilization in Vitro

Humans ; Carcinoma, Hepatocellular ; Liver Neoplasms ; Ribonucleoproteins ; Eukaryotic Initiation Factor-4E

Some kinds of chronic sialadenitis were recognized during the recent years. They have specific pathogenesis, clinical and histopathologic appearances, and require specific treatment. IgG4-related sialadenitis (IgG4-RS) is one of the immune-mediated diseases, characterized by tumefactive lesions. The incidence of IgG4-RS obviously increased during the past 30 years. The study on the potential relationship between occupational exposure to chemical substances and the incidence of IgG4-RS showed that subjects with occupational exposure to agents known to cause IgG4-RD had an increased risk for IgG4-RS. Surgical excision of involved SMG could not control the disease progression, which is not recommended for treatment of IgG4-RS. The combination of glucocorticoid and steroid-sparing agents is effective for treating IgG4-RS, and restores salivary gland function. Radioiodine induced sialadenitis (RAIS) is one of the common complications of postoperative adjuvant treatment of differentiated thyroid cancer by ¹³¹I. The incidence of the disease is related to radiation dosage. Clinically, the patients suffered from swelling and tenderness in the buccal or submandibular regions, especially during the mealtime. Imaging appearances are similar to those of chronic obstructive sialadenitis. Conservative managements, such as gland massage, sialagogues, are the mainstream methods in the treatment of RAIS. Sialendoscopy is feasible for RAIS, but not as effective as conventional obstructive sialadenitis (COS). Therefore the prevention of RAIS is crucial. Eosinophilic sialodochitis (ES) is a new type of chronic inflammatory disease of the salivary gland related to allergy. It has characteristics of swelling of multiple major salivary glands, strip-like gelatinous plugs discharged from the duct orifice of the gland, elevated level of serum IgE and eosinophils in peripheral blood, infiltration of eosinophils and IgE positive plasma cells in the tissues, allergic history, increased expression of allergy-related cytokines, such as IL-4, IL-5, IL-13, and eotaxin, which suggest allergic reactions as a potential pathogenesis of the disease. The clinical, laboratory, histological, and immunohistochemical characteristics of ES are significantly different from conventional obstructive sialadenitis (COS). Therefore, it is suitable to separate ES from COS. Conservative managements, such as self-maintenance therapy and anti- allergic modality are the choices of treatment for ES. Based on the results of our comprehensive studies a new classification of chronic sialadenitis is suggested.
Humans ; Immunoglobulin G ; Iodine Radioisotopes ; Salivary Glands ; Sialadenitis/etiology* ; Submandibular Gland

Objective To investigate the epidemiological characteristics and identify the risk factors of Giardia lamblia infections among patients with colorectal cancer in Henan Province. Methods A cross-sectional study was performed for questionnaire surveys among colorectal cancer patients in Henan Cancer Hospital during the period from March to July, 2021. Patients’ stool samples were collected, and the triosephosphate isomerase (tpi) gene of G. lamblia was amplified in stool samples using nested PCR assay to characterize the parasite genotype. Univariate analysis and multivariate logistic regression analyses were employed to identify the risk factors of G. lamblia infections among colorectal cancer patients. Results A total of 307 colorectal cancer patients were investigated, including 176 males (57.3%) and 131 females (42.7%). PCR assay detected 8.1% [95% confidential interval (CI): (0.056, 0.117)] prevalence of G. lamblia infections among the study subjects, and there was no significant difference in the prevalence between men [9.1%, 95% CI: (0.057, 0.143)] and women [6.9%, 95% CI: (0.037, 0.125)] (χ² = 0.495, P = 0.482). In addition, there was no age-specific prevalence of G. lamblia infections among the participants (χ² = 1.534, P = 0.675). Multivariate logistic regression analysis identified use of septic tanks [odds ratio (OR) = 3.336, 95% CI: (1.201, 9.267)], daily use of well water [OR = 3.042, 95% CI: (1.093, 8.465)] and raising livestock [OR = 3.740, 95% CI: (1.154, 12.121)] as risk factors of G. lamblia infections among colorectal cancer patients, and the prevalence of abdominal pain was significantly greater in colorectal cancer patients with G. lamblia infections than in those without infections (P = 0.017). Among the 25 patients with G. lamblia infections, assemblage A was characterized in 24 (96.0%) cases and assemblage B in one case (4.0%). Conclusions The prevalence of G. lamblia is high among colorectal cancer patients in Henan Province, and assemblage A is the dominant genotype of G. lamblia. Use of septic tanks, daily use of well water and raising livestock are risk factors of G. lamblia infections among patients with colorectal cancer.

Objective To examine the epidemiological characteristics and trends of the active pre-hospital transportation of 6 338 newborns. Methods Newborns who were actively transported from other hospitals to the neonatal transportation center of Xuzhou children’s hospital from January 2014 to December 2018 were enrolled in the present study. The demographic information, clinical characteristics and transport data of the newborns were retrospectively analyzed. The epidemiological trends of the neonatal transfers in different years were analyzed. Results A total of 6 338 cases were included in the study, including 4,093 boys and 2,245 girls. The proportion of girls increased year by year (P<0.05). The average gestational age was 36.62 weeks, with no significant difference between years (P>0.05). The proportion of transferred neonates within 24 hours showed a downward trend (P<0.05). The proportion of premature infants, extremely low birth weight infants, invasive respiratory support infants and critical cases increased yearly (P<0.05). The number of surgical transfer cases in 2017 and 2018 increased compared with the previous years (P<0.05). The top three diseases were neonatal aspiration pneumonia, neonatal respiratory distress syndrome and neonatal asphyxia. There were no differences in the levels of the referral hospitals, transportation time and distance (P>0.05). In the past five years, there were only two deaths in the transfers (0.32‰). The overall rate of successful transfers was 99.08%. Conclusion The proportion of extremely low birth weight neonates, critical cases, invasive respiratory support cases, and surgical disease cases transported from 2014 to 2018 increased year by year. It is necessary to strengthen training of the relevant medical personnel to improve their techniques and skills according to the epidemic trends of neonatal pre-hospital transfer.

Objective:To observe heart rate circadian rhythm in patients with chronic kidney disease (CKD) stage 5 and to analyze the effects of parathyroidectomy (PTX) on heart rate circadian rhythm in severe secondary hyperparathyroidism (SHPT) patients.Methods:A cross-sectional observation was performed in 213 patients with CKD stage 5 and 96 controls, and the patients were divided into those with severe SHPT (PTX group, n=70) and without severe SHPT (non-PTX group, n=143). Forty-six PTX patients were followed up prospectively. The baseline data were compared among these groups. Holter electrocardiogram was performed for each participant. Non-dipping heart rate was defined as night/day heart rate ratio greater than 0.9. Multiple linear regression analysis was used to analyze the related factors of heart rate circadian rhythm in patients with CKD stage 5. Results:The 24-hour, daytime and nighttime mean heart rate in patients with CKD stage 5 were all higher than those in controls, especially in PTX group (all P<0.05). The night/day heart rate ratios of controls and CKD stage 5 patients were (0.81±0.08) and (0.91±0.08) respectively ( P<0.01). Correlation analysis showed 24-hour and daytime or nighttime mean heart rate in patients with CKD stage 5 were positively correlated with serum levels of phosphorus and ln(alkaline phosphatase), while nighttime mean heart rate and night/day heart rate ratio were positively related with serum intact parathyroid hormone level. After adjusting with postoperative follow-up period (median time: 10.9 months), 24-hour and nighttime mean heart rate, and night/day heart rate ratio in PTX patients all decreased significantly (all P<0.01). Conclusions:Heart rate is increased and circadian rhythm is abnormal in patients with CKD stage 5, which are related with mineral and bone disorder. PTX significantly decreases 24-hour and nighttime mean heart rate in severe SHPT patients, and improves the heart rate circadian rhythm.

Objective:To explore the mechanism of Xiaojinwan in treating breast cancer bone metastases through cell experiments and bioinformatic analysis. Method:The inhibitory effect of Xiaojinwan on MCF-7 cell viability was detected by cell counting kit-8 （CCK-8） assay. The key components and targets responsible for Xiaojinwan in inhibiting breast cancer bone metastases were predicted by network pharmacology and molecular docking. The active components and targets of Xiaojinwan were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCSMP） and SwissTarget Prediction， and the breast cancer bone metastases-related targets from GeneCards and DisGeNET. The results were imported into STRING for constructing a protein-protein interaction （PPI） network， followed by Gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis using DAVID. A network of the active components of Xiaojinwan-breast cancer bone metastases-related targets-pathways was constructed using Cytoscape 3.7.2. AutoDock 4 was employed for molecular docking. The protein expression levels of matrix metallopmteinase-9 （MMP-9）， hypoxia-inducible factor 1α （HIF1A）， and androgen receptor （AR） were assayed by Western blot. Result:Xiaojinwan inhibited the viability of MCF-7 cells and acted on breast cancer bone metastases through such processes as redox and protein autophosphorylation. KEGG enrichment analysis showed that HIF-1， vascular endothelial growth factor （VEGF） and phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） pathways were involved. As verified by molecular docking， the active components such as eucalyptin stably bound to AR and MMP-9. Western blot indicated that Xiaojinwan dose-dependently inhibited the expression of MMP-9 and HIF1A proteins in MCF-7 cells. Conclusion:Xiaojinwan acts on AR and MMP-9 through HIF， VEGF and other related signaling pathways， thereby improving hypoxia in tumor microenvironment， inhibiting angiogenesis， and reducing cell invasion and viability.