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.

We investigated the prevalence and spatial distribution characteristics of T.gondii infection in cats in China,to provide a scientific basis for the prevention and con-trol of T.gondii.We searched PubMed,CNKI,Wanfang Da-tabase,and Baidu Academic Database to retrieve studies on the seroprevalence of T.gondii in domestic cats published by December 31,2023,in China,to investigate the spatial loca-tion and expression of T.gondii infection in China by using Geographical Information Systems(GIS).SPSS 26.0 software was used for statistical analysis.A total of 86 eligible studies published between 1984 and 2023 were included in this study,covering 28 provincial administrative regions and involving 20 722 cats.The ArcGIS classification results indicated that the overall positivity rate of T.gondii in domestic cats was 14.78％(3 080/20 836,95％CI:14.07％-15.03％).No epidemiological study of T.gondii infection in cats has been reported in Tibet,Tianjin,Hainan,Hong Kong,Ma-cao,or Taiwan.The prevalence of T.gondii infection in cats was highest in Shanxi Province(60％,54/90,95％CI:49.82％-70.18％),followed by Hebei Province(57.33％,43/75,95％CI:46.07％-68.59％),Henan Province(45.53％,173/380,95％CI:46.07％-68.59％),and Yunnan Province(43.64％,24/55,95％CI:30.49％-56.79％).The lowest seroprevalence of T.gondii antibody was found in Jiangxi Province(2.47％,2/81,95％CI:-0.90％-5.90％).Furthermore,the seropreva-lence of T.gondii in cats in northern China was 14.12％(2 044/14 491 95％CI:12.34％-15.90％),whereas that in southern China was 16.30％(1 036/6 355 95％CI:15.40％-17.20％).Significant differences were observed between them(x2=16.60,P＜0.05).The temporal distribution results indicated a decrease in the overall seroprevalence of T.gondii in cats in China from 1984 to 2023.Our findings suggested that T.gondii in cats is widespread in China,with a stable epidemic cycle,and the rates of Toxoplasma positivity vary greatly among regions.The increasing prevalence of pet cats in China,and the close rela-tionship between these cats and humans,may pose substantial exposure risks to a large susceptible population.Therefore,the association between cat ownership and T.gondii infection in humans,and how to decrease human environmental contamination through cat exposure to T.gondii and T.gondii oocysts,requires further investigation.

AIM To study the chemical constituents form the leaves of Castanopsis orthacantha Fance and their α-glucosidase inhibitory activities.METHODS The methanol extract form the leaves of C.orthacanth was isolated and purified by various column chromatography methods,such as MCI gel CHP 20P,Sephadex LH-20,Diaion HP20SS,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The α-glucosidase inhibitory activities were determined by PNPG method.RESULTS Eighteen compounds were isolated and identified as protocatechuic acid(1),gallic acid(2),3-O-α-L-arabininopyranosyl-4-hydroxybenzoic acid(3),3-O-galloyl shikimic acid(4),methyl 4-epi-shikimate-3-O-gallate(5),5-O-galloyl shikimic acid(6),5-O-caffeoylshikimic acid(7),6-O-galloyl-glucoside(8),1,6-di-O-galloyl-β-D-pyranogluloside(9),1,3-di-O-galloyl-α-D-glucoside(10),2,3-di-O-galloyl-D-glucoside(11),β-O-methylgluco-2,3-digalloyl esters(12),(3R,1'S)-[1'-(6"-O-galloyl-β-D-gluco-pyranosyl)oxyethyl]-3-hydroxy-dihydrofuran-2(3H)-one(13),4-O-D-(6'-O-galloyl)glucopyranyl-(E)-p-coumaryl acid(14),chestanin(15),1-desgalloyl eugeniin(16),picrorhiza acid(17),11-methyl chebulate(18).The IC50 values of compounds 2 and 16 were(0.12±0.059),(0.00089±0.00025)mmol/L,respectively.CONCLUSION All compounds are isolated from the leaves of C.orthacantha for the first time.Compounds 2 and 16 have strong α-glucosidase inhibitory activities.

Objective To investigate the causes of a cluster of suspected neonatal carbapenem-resistant Klebsiella pneumoniae(CRKP)bloodstream infection(BSI)in the neonatal department of a hospital,and provide references for the effective control of the occurrence of healthcare-associated infection(HAI).Methods Epidemiological in-vestigation on 3 neonates with CRKP BSI in the neonatal department from January 31 to February 6,2023 was per-formed.Specimens from environmental object surfaces were taken for environmental hygiene monitoring,and effec-tive control measures were taken according to the risk factors.Results From January 31 to February 6,2023,a to-tal of 60 neonates were admitted in the neonatal department,including 16 with peripherally inserted central venous catheter(PICC).Three neonates had CRKP BSI,with a incidence of 5.00％.There were 33 hospitalized neonates on the day(February 7)when the cluster of HAI was reported,with a prevalence rate of 9.09％(3/33).CRKP BSI rate in the neonatal department of this hospital from January 31 to February 6,2023 was higher than that in 2022(P＜0.001).The incubators of the 3 neonates with CRKP BSI were in the same ward and adjacent to each other.The first neonate with CRKP BSI(who developed BSI on January 31)underwent PICC maintenance on Feb-ruary 4,and the other 2 neonates with PICC maintenance immediately following the first one also developed CRKP BSI.CRKP were isolated from blood culture of all 3 neonates,and antimicrobial susceptibility testing results were consistent.Conclusion The occurrence of the cluster event of neonatal CRKP BSI may be related to the failure of strict implementation of aseptic procedures during PICC maintenance and cross contamination among items.

Objective To establish a mouse model of type Ⅰ tricho-hepato-enteric syndrome(THES)induced by Ttc37 deficiency.Methods Ttc37 flox strain was established by site-specifically inserted loxP sites into Ttc37 gene via CRISPR/CAS9 technology.Ubiquitously expressed CAG-Cre was introduced for all-tissue removal of Ttc37 in Ttc37flox/flox;CAG-Cre mice.The knock-out effect was confirmed by fluorescence quantitative PCR and Western blot.Phenotypic evaluations were conducted in 8-week-old mice including hematoxylin-eosin staining of skin,spleen,liver,bladder,and gastrointestinal tract(GI),serum enzyme activity assay of aspartate aminotransferase(AST)and alanine aminotransferase(ALT),measurement of serum hemoglobin level,and ELISA for IgG and IgM level upon antigen immunization.Results Similar to type Ⅰ THES patients,Ttc37flox/flox;CAG-Cre mice exhibited impaired development of hair shaft,epidermis,B cell and eyes,while liver,GI,bladder and serum hemoglobin level seemed normal under unstressed condition.Conclusion A novel mouse model of typeⅠ THES was constructed successfully,which was applicable for pathological study.

Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

This article discussed the significance of latent pathogen theory in the understanding of pathogenesis and prevention and treatment of epidemic diseases such as novel coronavirus infection(COVID-19).Latent-qi is the cause of epidemic febrile disease,and it is also the yang-heat qi of human body.The stagnant yang-heat qi hidden in the body can induce the latent heat constitution.The latent heat constitution is particularly closely related to the development and progression of epidemic febrile disease,and is susceptible to the warm pathogen.The significance of the latent pathogen theory on the prevention and treatment of epidemic diseases such as COVID-19 with traditional Chinese medicine is as follows:abnormal climate is an important early warning and is the external condition for the development of epidemic diseases;latent pathogen is easily assimilated into the newly-attacked pathogenic factors for the assimilation of similar nature,and then injuries taiyin-spleen,which causes spleen deficiency and dampness accumulation and then results in latent dampness;preventing and treating epidemic diseases based on the latent pathogen theory is helpful for identifying the key syndromes,formulating the core regimen indicated for the pathogenesis,and cutting off the progression of the disease.Based on the latent pathogen theory,dampness-removing therapy for latent dampness is important for the prevention and early treatment of COVID-19,and our research group has developed a Chinese herbal formula of Wuzhi Fangguan Prescription(composed of Fici Simplicissimae Radix,Coicis Semen,Poria,Herba Polygoni Chinensis,Atractylodis Rhizoma,Pogostemonis Herba,and Glycyrrhizae Radix et Rhizoma)to prevent COVID-19 early by using a variety of dampness-removing methods such as drying dampness,resolving dampness,draining dampness,and invigorating spleen.The prescription is indicated for the prevention and early treatment of COVID-19.The mechanism of dampness-removing therapy is mainly related to the improvement of the disordered immune function and restoration of the body's resistance to diseases.

ObjectiveThe objective is to investigate the possibility of isocenter dual-guided resetting of surface guided radiation therapy （SGRT） combined with image guided radiation therapy （IGRT） in postoperative radiotherapy for breast cancer. To assess the setup error accuracy between the new resetting mode and the traditional resetting mode. MethodsRetrospective analysis was performed on breast cancer patients who underwent ELEKTA infinity accelerator radiotherapy in sun yat-sen university cancer center from July 13， 2021 to October 15， 2022. According to different reset methods， the patients were divided into a simulation group （41 cases） and a dual-guided group （40 cases）. The simulation group was reset using a simulator， CBCT scans were performed and setup errors were recorded during the first treatment； The dual-guided group was guided by AlignRT and combined with CBCT for isocenter dual-guided resetting， and the setup error obtained by CBCT registration was recorded. The global setup errors of chest region of interest （CROI） ， the local residual errors of supraclavicular region of interest （SROI） and the resetting time of the two reset methods were calculated and compared respectively. The advantages of the CBCT error distribution in the dual-guided resetting of SGRT combined with IGRT were analyzed. ResultsThe median of the global setup errors （X/cm， Y/cm， Z/cm， Rx°， Ry°， Rz°） of the simulation group and the median of the dual-guided group in the CROI were statistically significant （P<0.05） except the Rz and Ry directions. The local residual errors of the two groups of the SROI were calculated. The median of the errors of X/cm， Y/cm， Z/cm， Rx°， Ry°， Rz° were statistically significant （P<0.05） except the X and Y axis. The resetting time of the simulation group was significantly longer than that of the dual-guided group （238.64±28.56） s， t=-24.555， P=0.000， and the difference was statistically significant （P<0.05）. The CBCT error distribution of the dual-guide group was analyzed， and it was found that the absolute values of translation errors of X， Y and Z axis were all within 0.4 cm， while the proportions of ≤ 0.3 cm were 95%， 93% and 93%， respectively. The proportions of rotation errors of Rx， Ry and Rz ≤ 1.5 ° were 90%， 93% and 90%， respectively. ConclusionIn postoperative radiotherapy of breast cancer， SGRT combined with IGRT for isocenter dual-guided resetting can effectively correct the rotational setup errors and residual errors， and improve the accuracy of radiotherapy with less resetting time and high feasibility， which compared with the traditional simulator resetting mode. This precise， unmarked resetting method can be widely used in clinical practice.

AIM: To evaluate retinal vascularization caused by the intravitreal injection of Conbercept in the treatment of a series of retinopathy of prematurity(ROP)cases in Type Ⅰ(threshold and pre-threshold period)and aggressive ROP(A-ROP).METHODS: The data of 34 ROP cases(67 eyes)treated by intravitreal injection of Conbercept(IVC)in the ophthalmology department of the Xiamen Children's Hospital from July 2017 to March 2020 were retrospectively analyzed. Reactivation, which refers to recurrence of acute phase features, occurred at any stage of the disease in the presence or absence of other diseases. RESULT: The average gestational age of the 34 children was 28.82±2.32wk. The average birth weight was 1155.18±398.22g. The lesion zone of 19 cases(37 eyes)was Zone Ⅰ. In 10 cases(20 eyes), the lesion was in Zone Ⅱ, and in 5 cases(10 eyes), the lesion was in the posterior Zone Ⅱ. The total effective rate of disease control in ROP children treated with once IVC was 73.1%(49/67), and the vascularization of Zone Ⅱ was completed. The patients showed variable changes in the vascularization in Zone Ⅲ. For the patients who received one treatment and did not reactivate, the average rate of Type Ⅰ vascularization of ROP was 9.11±2.49wk, and the A-ROP was 13.40±4.04wk. The rate of A-ROP vascularization in Zone Ⅱ was significantly longer compared to Type Ⅰ.CONCLUSION: IVC effectively completes vascularization in Zone Ⅱ.