Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

OBJECTIVE: This study explored the job choice preferences of Center for Disease Prevention and Control (CDC) workers to provide CDC management information and recommendations for optimizing employee retention and motivation policies. METHODS: A discrete choice experiment was conducted in nine provinces across China. Seven key attributes were identified to analyze the job preferences of CDC workers. Mixed logit models, latent class models, and policy simulation tools were used. RESULTS: A valid sample of 5,944 cases was included in the analysis. All seven attributes significantly influenced the job choices of CDC workers. Heterogeneity analyses identified two main groups based on different levels of preference for attribute utility. Income-prioritizers were concerned with income and opportunities for career development, whereas bianzhi-prioritizers were concerned with bianzhi and welfare benefits. The policy simulation analysis revealed that income-prioritizers had a relatively higher sensitivity to multiple job preference incentives. CONCLUSION Income and bianzhi were the two key attributes influencing the job choices and retention preferences of CDC workers. Heterogeneity in job preferences was also identified. Based on the preference characteristics of different subgroups, policy content should be skewed to differentiate the importance of incentives.
China ; Humans ; Male ; Female ; Adult ; Centers for Disease Control and Prevention, U.S. ; Middle Aged ; Choice Behavior ; Career Choice ; Motivation

OBJECTIVES: Digital subtraction angiography (DSA) is the current gold standard for diagnosing spinal dural arteriovenous fistulas (SDAVF). However, DSA is invasive and associated with risks such as ionizing radiation and iodine contrast allergy. Contrast-enhanced magnetic resonance angiography (CE-MRA) with high temporal/high spatial resolution allows dynamic multiphase contrast-enhanced imaging with excellent detail. This study aims to evaluate the diagnostic value of spinal CE-MRA with high temporal/high spatial resolution for SDAVF. METHODS: Clinical data were retrospectively collected from patients who underwent both conventional spinal MRI and high temporal/high spatial resolution CE-MRA at Xiangya Hospital between January 1, 2021, and January 1, 2024, and who subsequently underwent DSA or surgery within 90 days. Two experienced radiologists independently reviewed all conventional MRI and CE-MRA images. The sensitivity and specificity of conventional MRI and CE-MRA for diagnosing SDAVF were calculated against the gold standard DSA findings. Kappa statistics were used to evaluate the consistency of MRI and CE-MRA compared to DSA. The diagnostic value was further assessed by calculating the area under curve (AUC) of the receiver operating characteristic (ROC). RESULTS: A total of 60 patients were included, of whom 47 were diagnosed with SDAVF and 13 were not. Conventional MRI had 3 false negatives and 1 false positive; CE-MRA had 2 false positives and 0 false negative. The sensitivity and specificity of conventional MRI were 93.62% and 92.31%, respectively. CE-MRA demonstrated 100% sensitivity and 84.62% specificity. The main cause of false positives was the misidentification of posterior spinal arteries as feeding arteries. CE-MRA clearly displayed most feeding arteries, and the accuracy of fistula localization was 74.47% (35/47). Kappa values for conventional MRI and CE-MRA were 0.814 and 0.896, respectively (both P<0.001), indicating good agreement, with CE-MRA outperforming conventional MRI. The AUCs for diagnosing SDAVF were 0.930 for conventional MRI and 0.923 for CE-MRA (both P<0.05). CONCLUSIONS Spinal CE-MRA with high temporal/high spatial resolution is a reliable, non-invasive imaging technique with high sensitivity for diagnosing SDAVF. It can clearly visualize feeding arteries and provides valuable preoperative diagnostic and localization information to support DSA or surgical planning.
Humans ; Central Nervous System Vascular Malformations/diagnosis* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Magnetic Resonance Angiography/methods* ; Angiography, Digital Subtraction/methods* ; Aged ; Adult ; Sensitivity and Specificity ; Contrast Media ; Magnetic Resonance Imaging/methods*

Selective occlusion of tumor vasculature has proven to be an effective strategy for cancer therapy. Among vascular coagulation agents, the extracellular domain of coagulation-inducing protein tissue factor, truncated tissue factor (tTF), is the most widely used. Since the truncated protein exhibits no coagulation activity and is rapidly cleared in the circulation, free tTF cannot be used for cancer treatment on its own but must be combined with other moieties. We here developed a novel, tumor-specific tTF delivery system through coupling tTF with the DNA aptamer, AS1411, which selectively binds to nucleolin receptors overexpressing on the surface of tumor vascular endothelial cells and is specifically cytotoxic to target cells. Systemic administration of the tTF-AS1411 conjugates into tumor-bearing animals induced intravascular thrombosis solely in tumors, thus reducing tumor blood supply and inducing tumor necrosis without apparent side effects. This conjugate represents a uniquely attractive candidate for the clinical translation of vessel occlusion agent for cancer therapy.

Background: Porcine circovirus type 2 (PCV2) is an important infectious pathogen implicated in porcine circovirus-associated diseases (PCVAD), which has caused significant economic losses in the pig industry worldwide. Objectives: A suitable viral vector-mediated gene transfer platform for the expression of the capsid protein (Cap) is an attractive strategy. Methods: In the present study, a recombinant adeno-associated virus 8 (rAAV8) vector was constructed to encode Cap (Cap-rAAV) in vitro and in vitro after gene transfer. Results: The obtained results showed that Cap could be expressed in HEK293T cells and BABL/c mice. The results of lymphocytes proliferative, as well as immunoglobulin G (IgG) 2a and interferon-γ showed strong cellular immune responses induced by Cap-rAAV. The enzyme-linked immunosorbent assay titers obtained and the IgG1 and interleukin-4 levels showed that humoral immune responses were also induced by Cap-rAAV. Altogether, these results demonstrated that the rAAV8 vaccine Cap-rAAV can induce strong cellular and humoral immune responses, indicating a potential rAAV8 vaccine against PCV2. Conclusions The injection of rAAV8 encoding PCV2 Cap genes into muscle tissue can ensure long-term, continuous, and systemic expression.

BACKGROUND: The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images. METHODS: Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists. RESULTS: The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%). CONCLUSIONS: The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists. TRIAL REGISTRATION Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve ; Breast/diagnostic imaging* ; Breast Neoplasms/diagnostic imaging* ; China ; Deep Learning ; Humans ; ROC Curve ; Sensitivity and Specificity

A kind of adjustable external fixation device for lower extremity is designed. The circuit is mainly composed of TEC1-00703 semiconductor refrigeration chip, HZC-30A pressure sensor, STC89C52RC single chip microcomputer and other electrical components. It can realize the timing intelligent temperature control and meet the local fixed-point refrigeration. The design of adjustable structure and the application of intelligent air cushion can satisfy the full fixation of lower limbs of different individuals. Its operation does not need much medical knowledge. It can solve the problem of emergency transportation and follow-up treatment of lower limb injury in ice and snow sports. It has a good application prospect and universality.
External Fixators ; Fracture Fixation ; Humans ; Lower Extremity ; Refrigeration ; Semiconductors

Objective: To establish a new method for rapid detection of Coxsachie virus A16 (CA16) hand, foot and mouth disease pathogens based on fluorescence resonance energy transfer (FRET) technique, to evaluate the detection effect and to make the method to meet the requirements of large sample size detection during the outbreak of disease. Methods: Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) analysis and bicinchoninic acid (BCA) protein assay were used to identify the purity of CA16 chicken yolk antibody (CA16-IgY) and the protein level. Indirect enzyme-linked immunosorbent assay (iELISA) was used to detect the titer and specificity of anti-CA16 IgY antibody. The size, morphology and characterization of gold nanoparticles (AuNPs) and their biological probes (IgY-AuNPs) were determined by UV-visible spectroscopy (UV-Vis), infrared spectroscopy (FTIR) and transmission electron microscopy (TEM). The CA16 detection system was constructed based on FRET technique. The sensitivity and specificity of the detection method and clinical sample detection were evaluated by optimizing the IgY-AuNPs concentration, sodium chloride (NaCl) dosage, fluorescence recovery time and other indicators. Results: The CA16-IgY had high purity, the titer was 1:128 000, the average protein level was 12. 15 mg · L-1, and CA16-IgY had good specificity. The results of UV-Vis, FTIR and TEM of AuNPs and IgY-AuNPs showed that IgY was successfully labeled onto the surface of AuNPs, which suggested that IgY-AuNPs could specially recognize CA16 was successfully prepared by electrostatic self-assembly. The CA16 detection system was constructed based on FRET technology, after optimization of the detection system, the optimal dosage of IgY-AuNPs was determined to be 0.52 X 10-3 g · L-1, the optimal dosage of NaCl was 40 μL and the optimal fluorescence recovery time was 90 min. The standard curve of the established detection method was I525 ntu= 15. 452 IgC-9. 746, R2 = 0.993 2, the detection limit was as 1 X 104 PFU · ml-1. Compared with qRT-PCR, the agreement rate reached 93. 75%. Conclusion: A new rapid detection method for CA16 hand, foot and mouth disease pathogens is successfully established, which can be applied to laboratory and clinical tests.

Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children′s NCP cases have gradually increased, and children′s fever outpatient department has become the first strategic pass to stop the epidemic. Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis; triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period.

Ocular decompression retinopathy(ODR)is defined as multiple hemorrhagic retinopathy following abrupt lowering of intraocular pressure(IOP)that is not explained by another process. It is frequently associated with glaucoma surgeries, but also occurs in conjunction with other ocular surgical or medical procedures. Most patients are asymptomatic, so it may be difficult to detect clinically. We review the recent articles to better understand the risk factors, pathogenesis, clinical characteristics, imaging, differential diagnoses, management and prognosis of ODR.