Objective:To construct a predictive model of radiomics based on laparoscopic grayscale ultrasound features and investigate its value in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) during laparoscopic liver resection.Methods:A total of 74 patients (74 lesions)with HCC confirmed by postoperative pathology, who underwent a laparoscopic ultrasonography during laparoscopic hepatectomy were prospectively enrolled in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2022 to August 2023. The general clinical information of the patients was recorded, and the features were extracted and screened from tumor regions in gray-scale ultrasound images, and eventually the radiomics prediction models were constructed, respectively. Pathological results were used as gold standard to compare the effectiveness of different models in predicting MVI.Results:In the 74 HCC lesions, 12 lesions were MVI positive.The MVI imaging prediction model of HCC lesions was constructed from the screened clinical features, laparoscopic gray scale ultrasound image features, as well as combined screened clinical features, respectively. The obtained data sets were randomly divided into 5 parts (4 parts with 15 lesions, 1 part with 14 lesions), and the effectiveness of the model was trained and tested by the method of 5 folds interaction validation. The performance of support vector machine(SVM) radiomics model based on the characteristics of laparoscopic gray scale ultrasound in predicting the MVI of HCC was the best. Compared with clinical model and combined Adaboost model, the SVM, radiomics model had higher area under ROC curve (0.836 vs 0.696, 0.804), accuracy (0.852 vs 0.687, 0.838), sensitivity (0.900 vs 0.900, 0.833) and specificity (0.837 vs 0.644, 0.838). Conclusions:The radiomics model based on the characteristics of laparoscopic gray-scale ultrasound is an innovative potential approach to predict the MVI status of HCC lesions during laparoscopic hepatectomy.

Objective To investigate the mechanisms that mediate the neuroprotective effect of the intestinal microbial metabolite sodium butyrate(NaB)in a mouse model of Parkinson's disease(PD)via the gut-brain axis.Methods Thirty-nine 7-week-old male C57BL/6J mice were randomized equally into control group,PD model group,and NaB treatment group.In the latter two groups,PD models were established by intraperitoneal injection of 30 mg/kg 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)once daily for 5 consecutive days,and normal saline was injected in the control group.After modeling,the mice received daily gavage of NaB(300 mg/kg)or an equal volume of saline for 14 days.Behavioral tests were carried out to assess the changes in motor function of the mice,and Western blotting was performed to detect the expressions of tyrosine hydroxylase(TH)and α-synuclein(α-syn)in the striatum and nuclear factor-κB(NF-κB),tumor necrosis factor(TNF-α),interleukin 6(IL-6),and the tight junction proteins ZO-1,Occludin,and Claudinin the colon.HE staining was used to observe inflammatory cell infiltration in the colon of the mice.RNA sequencing analysis was performed to identify the differentially expressed genes in mouse colon tissues,and their expressions were verified using qRT-PCR and Western blotting.Results The mouse models of PD with NaB treatment showed significantly increased movement speed and pulling strength of the limbs with obviously upregulated expressions of TH,Occludin,and Claudin and downregulated expressions of α-syn,NF-κB,TNF-α,and IL-6(all P<0.05).HE staining showed that NaB treatment significantly ameliorated inflammatory cell infiltration in the colon of the PD mice.RNA sequencing suggested that Bmal1 gene probably mediated the neuroprotective effect of NaB in PD mice(P<0.05).Conclusion NaB can improve motor dysfunction,reduce dopaminergic neuron loss in the striatum,and ameliorate colonic inflammation in PD mice possibly through a mechanism involving Bmal1.

Objective To investigate the mechanisms that mediate the neuroprotective effect of the intestinal microbial metabolite sodium butyrate(NaB)in a mouse model of Parkinson's disease(PD)via the gut-brain axis.Methods Thirty-nine 7-week-old male C57BL/6J mice were randomized equally into control group,PD model group,and NaB treatment group.In the latter two groups,PD models were established by intraperitoneal injection of 30 mg/kg 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)once daily for 5 consecutive days,and normal saline was injected in the control group.After modeling,the mice received daily gavage of NaB(300 mg/kg)or an equal volume of saline for 14 days.Behavioral tests were carried out to assess the changes in motor function of the mice,and Western blotting was performed to detect the expressions of tyrosine hydroxylase(TH)and α-synuclein(α-syn)in the striatum and nuclear factor-κB(NF-κB),tumor necrosis factor(TNF-α),interleukin 6(IL-6),and the tight junction proteins ZO-1,Occludin,and Claudinin the colon.HE staining was used to observe inflammatory cell infiltration in the colon of the mice.RNA sequencing analysis was performed to identify the differentially expressed genes in mouse colon tissues,and their expressions were verified using qRT-PCR and Western blotting.Results The mouse models of PD with NaB treatment showed significantly increased movement speed and pulling strength of the limbs with obviously upregulated expressions of TH,Occludin,and Claudin and downregulated expressions of α-syn,NF-κB,TNF-α,and IL-6(all P<0.05).HE staining showed that NaB treatment significantly ameliorated inflammatory cell infiltration in the colon of the PD mice.RNA sequencing suggested that Bmal1 gene probably mediated the neuroprotective effect of NaB in PD mice(P<0.05).Conclusion NaB can improve motor dysfunction,reduce dopaminergic neuron loss in the striatum,and ameliorate colonic inflammation in PD mice possibly through a mechanism involving Bmal1.

The aim of this study is to establish a simple and accurate method for vaccine immune e-valuation of porcine pseudorabies virus.In this research,PRV-gD recombinant protein was ex-pressed from mammalian cell HEK-293F as coating antigen,and then the reaction conditions of gD-iELISA were optimized according to checkerboard titration method.The gD-iELISA was used to detect the antibody levels of 211 clinical pig serum samples and the consistency with the neu-tralizing antibody levels wasanalyzed.The results showed that the antigen coating concentration was 0.90 mg/L;the serum to be detected was diluted 1∶100 and incubated at 37 ℃ for 30 min;goat anti-pig IgG-HRP antibody was diluted 1∶55 000 and incubated at 37 ℃ for 30 min;TMB sub-strate was developed at 37 ℃ for 20 min.The method could detect 1∶6 400 diluted PRV positive serum.The results of CSFV,PRRSV,PCV-2,PEDV and FMDV positive sera were all negative by gD-iELISA,and there was no cross-reaction between the method and the above positive sera.The coincidence rate of gD-iELISA and commercial kits was 95.26％,and the intra-and inter-batch co-efficients of variation were both less than 10％.Correlation analysis showed that the correlation coefficient(r)between gD antibody level and neutralizing antibody level was significantly greater than that of gB antibody level,and the gD antibody level had a good linear relationship with the neutralizing antibody level.The results indicated that gD-iELISA was more suitable for vaccine im-mune evaluation of PRV than gB-iELISA.Therefore,the method will have a good prospect of ap-plication in the immunization control of the PRV.

Eyelid tumor is a serious eye disease that leads to vision loss or even blindness.The similarity between benign and malignant characteristics makes it difficult for ophthalmologists lacking clinical experience to distinguish between them.To address the problem,a method(ResNet101_CBAM)based on two-stage target localization using fully convolutional one-stage object detection(FCOS)and residual network incorporating a dual attention mechanism is proposed to realize the automatic diagnosis of benign and malignant eyelid tumors.FCOS is used to automatically localize the overall contour of the orbit,removing the background and surrounding noise,and then finely localize the tumor lesion inside the orbit.The obtained lesion region is input into ResNet101_CBAM for the automatic diagnosis of benign and malignant eyelid tumors.The experimental results show that the average precision of the target localization algorithm for tumor lesion is 0.821,and that compared with ResNet101,ResNet101_CBAM improves the sensitivity and accuracy in eyelid tumor classification by 4.7%and 3.0%,respectively,indicating that the proposed model has superior performances in the automatic diagnosis of benign and malignant eyelid tumors.

Artificial Intelligence (AI) is an interdisciplinary subject developed on the basis of computer technology, cybernetics, mathematics, philosophy and brain science. The purpose of AI is to study new ways to extend the intelligence of human brain in various fields. In recent years, the rapid development of AI technology has brought innovation to medical science and health care. During the pandemic of coronavirus disease 2019 (COVID-19) AI has been widely used in epidemiological investigation and outbreak prediction, clinical diagnosis and treatment, hospital management, research and development of new drugs and vaccines. The application of AI has reduced the clinical workload and the consumption of medical resources, greatly assisted the battle against COVID-19.This article introduces the progresses on the applications of AI technology to provide information for its further application in the fighting against COVID-19.

Patients with cancer are at increased risk of severe infections. From a cohort including 3060 patients with confirmed COVID-19, 109 (3.4%) cancer patients were included in this study. Among them, 23 (21.1%) patients died in the hospital. Cancer patients, especially those with hematological malignancies (41.6%), urinary carcinoma (35.7%), malignancies of the digestive system (33.3%), gynecological malignancies (20%), and lung cancer (14.3%), had a much higher mortality than patients without cancer. A total of 19 (17.4%) cancer patients were infected in the hospital. The clinical characteristics of deceased cancer patients were compared with those of recovered cancer patients. Multivariate Cox regression analysis indicated that a Nutritional Risk Screening (NRS2002) score ⩾ 3 (adjusted hazard ratio (HR) 11.00; 95% confidence interval (CI) 4.60-26.32; P < 0.001), high-risk type (adjusted HR 18.81; 95% CI 4.21-83.93; P < 0.001), tumor stage IV (adjusted HR 4.26; 95% CI 2.34-7.75; P < 0.001), and recent adjuvant therapy (< 1 month) (adjusted HR 3.16; 95% CI 1.75-5.70; P < 0.01) were independent risk factors for in-hospital death after adjusting for age, comorbidities, D-dimer, and lymphocyte count. In conclusion, cancer patients showed a higher risk of COVID-19 infection with a poorer prognosis than patients without cancer. Cancer patients with high-risk tumor, NRS2002 score ⩾ 3, advanced tumor stage, and recent adjuvant therapy (< 1 month) may have high risk of mortality.
COVID-19 ; Hospital Mortality ; Humans ; Neoplasms ; Prognosis ; Retrospective Studies ; Risk Factors ; SARS-CoV-2

Smoldering multiple myeloma is a kind of heterogeneous asymptomatic plasma cell disease. Some patients have a high risk of developing symptomatic multiple myeloma. However, the starting point and options of treatment for smoldering multiple myeloma patients are still unclear. This article reviews the risk stratification and treatment progress of smoldering multiple myeloma.

Talents constitute core resource in the development of healthcare sector. Based on the situation of the talent team in the Affiliated Hospital of Qingdao University, the authors systematically constructed the hierarchical and classified system for talent cultivation, centering on three key areas of talent cultivation, evaluation and assessment. The authors analyzed the achievements since the implementation in 2016, namely the innovation of talent evaluation, the construction of discipline echelon, and the communication and inter-departmental cooperation. At the same time, the authors further put forward targeted suggestions to promote the development of talent teams in terms of transforming the human resource management model, increasing policy support and funding, implementing refined management, and improving talent evaluation indicators by the levels and types.

Objective:To explore the differences of anterior segment parameters in Uyghur patients with pseudoexfoliation syndrome (PEX), pseudoexfoliation glaucoma (PEXG), primary open-angle glaucoma (POAG) and age-related cataracts in Xinjiang.Methods:A retrospective study was conducted, Uyghur patients included 114 eyes of 84 cases with PEX, 96 eyes of 70 cases with PEXG, 88 eyes of 72 cases with POAG and 80 eyes of 80 cases with age-related cataracts (control, CON) who had received treatment in Ophthalmology Center of Xinjiang Military Region General Hospital of Chinese People's Liberation Army from April 2019 to July 2020 were selected to obtained central corneal thickness (CCT), anterior chamber depth (ACD), lens thickness (LT), axial length (AL) and corneal curvature (horizontal curvature K1 and vertical curvature K2).Results:There was no significant difference in gender ratio and age of patients between CON, PEX, PEXG and POAG groups ( P > 0.05). The CCT of patients in CON, PEX, PEXG and POAG groups were (545.52 ± 34.22), (536.81 ± 42.64), (516.74 ± 32.39) and (530.38 ± 28.72) μm, respectively, the CCT in CON, PEX and POAG groups were all higher than those in PEXG group ( P < 0.05), and the CCT in PEXG group became thinner. The ACD of patients in CON, PEX, PEXG and POAG groups were (3.05 ± 0.38), (2.87 ± 0.36), (2.77 ± 0.41), (2.81 ± 0.32) mm, respectively, compared with CON group, the ACD in PEX, PEXG and POAG groups were all lower ( P < 0.05). There was no significant difference in LT, AL, K1 and K2 of patients between each group ( P > 0.05). Conclusion:This study has showed that the ACD of Uyghur patients with PEX in Xinjiang is shallower than that of CON group, but the CCT of PEXG patients is thinner than that of PEX patients.