Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

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*

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

ObjectiveTo analyze the clinical characteristics and the use of traditional Chinese medicine （TCM） therapy in cancer patients with COVID-19， and to provide reference for making TCM prevention and treatment strategies and determining diagnosis and treatment priorities for patients with malignant tumors in the COVID-19 epidemic. MethodsThe medical records of 225 malignant tumor cases with COVID-19 who were admitted to 7 national research centers from January 1st to 20th， 2023 were retrospectively collected， and the main symptoms and duration after infection， nucleic acid negative conversion time， use of TCM therapy， and changes in adverse reactions after resuming anti-tumor treatment were analyzed. ResultsA total of 222 malignant tumor patients with COVID-19 were included in the analysis， involving 205 mild cases and 17 moderate cases. The top four most frequently reported clinical symptoms were fever （165 cases）， expectoration or dry cough （99 cases）， decreased appetite （95 cases） and fatigue （85 cases）， of which 40 expectoration or dry cough cases ， 37 fatigue cases and 29 decreased appetite cases lasted for more than 14 days. One hundred and five patients with nucleic acid detection report had a median negative conversion time of 14 days. The nucleic acid negative conversion time was significantly longer in patients with lung cancer compared to those with digestive system malignant tumors， and in those with myelosuppression than those without （P＜0.01）. During the infection period， 47.30% （105/222） of the patients used Chinese patent medicine， and 21.17% （47/222） were treated with herbal decoctions. The use of TCM in patients during the prevention and rehabilitation period， was 1.80%（4/222） and 7.21%（16/222）， respectively. Fifty-five patients resumed anti-tumor treatment after nucleic acid negative conversion， and received TCM simultaneously. Observed adverse reactions， including gastrointestinal reactions， bone marrow suppression， and neurotoxicity， were all grade 1 to 2， and no new adverse events occurred during follow-up. ConclusionCertain malignant tumor patients with COVID-19 had prolonged symptoms and nucleic acid negative conversion time Rational use of TCM can help to promote the rehabilitation of the patients and ensure the smooth process of anti-tumor treatment after infection.

Formaldehyde is a prevalent organic solvent in industrial and indoor environment,which can seriously harm human health,so it is of great significance to develop highly sensitive formaldehyde sensors with fast response,low detection limit and long life.In this study,the NiO-In2O3 composite structure was prepared using indium-based metal organic framework(In-MOF)as the precursor,and the formaldehyde gas sensor was constructed with In2O3 and NiO-In2O3 composite structure as the sensitive material.The results demonstrated that the In2O3 material had a microflower-like structure,while the NiO-In2O3 composite structure was composed of NiO nanoparticles attached to the surface of In2O3.The sensor exhibited excellent detection performance for formaldehyde in the environment of relative humidity of 33%and 75%,especially the response characteristic of the NiO-In2O3 composite structure sensor to formaldehyde was considerably better than that of the In2O3 sensor under the same test conditions,which was closely related to the catalytic effect of NiO and the heterogeneous structure formed between NiO and In2O3.The NiO-In2O3 composite structure sensor had a response value of 21.3 and 12.6 to 10 μL/L formaldehyde when the relative humidity was 33%and 75%at 200℃.The response/recovery time was 4/6 s and 7/10 s,and the limit of detection(LOD)was 1.2×10-7 μL/L and 4.1×10-5 μL/L respectively.Meanwhile,the sensor had excellent selectivity and long-term stability.This sensor showed a wide application prospect in the field of high-performance detection of low concentration of formaldehyde gas.

Objective To investigate the diagnostic value of 62-slice spiral CT and its post-processing techniques for tibial plateau fracture(TPF)and its influence on treatment regimens selection.Methods A total of 173 TPF patients diagnosed and treated in our hospital from January 2021 to December 2022 were included,and the diagnostic accuracy,classification diagostic accuracy and fracture collapse degree accuracy of X-ray and CT scans were compared,with surgical and pathological diagnosis as the gold standard.Results CT and its post-processing technique can more clearly show the direction of fracture line,the displacement direction of fracture fragments and the collapse degree of articular surface than X-ray.The fracture morphology of 171 patients seen during the operation was consistent with CT and its post-processing images.The diagnostic accuracy of X-ray for TPF was 93.64%,which was lower than that of CT and its post-processing techniques(98.84% ),and the difference was statistically significant(χ2=6.474,P=0.011).The overall accuracy of X-ray in evaluating the degree of fracture collapse was significantly lower than that of CT 3D reconstruction(65.32% vs.90.75%;χ2=32.644,P<0.001).The total accuracy of CT and its post-processing techniques for TPF Schatzker classification(97.69% )was higher than that of X-ray(88.44% ),and the difference was statistically significant(χ2=11.462,P=0.001).Different CT reconstruction models had statistically significant difference on the total accuracy of TPF Schatzker classification diagnosis(χ2=40.647,P<0.001),and the diagnosis accuracy of volume reconstruction was the highest(96.53% ).Conclusion The application of CT and its post-processing techniques can effectively evaluate TPF,articular surface collapse and fracture classification,and provide imaging reference for clinical decision-making.

Background/Aims: Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China. Methods: A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators. Results: Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders. Conclusions In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.

This study aims to establish a rapid and non-destructive method for recognizing the origins and cultivation patterns of Astragali Radix. A hyperspectral imaging system(spectral ranges: 400-1 000 nm, 900-1 700 nm; detection time: 15 s) was used to examine the samples of Astragali Radix with different origins and cultivation patterns. The collected hyperspectral datasets were highly correlated and numerous, which required the establishment of stable and reliable dimension reduction and classification models. Firstly, the original spectra were preprocessed by normalization, Gaussian smoothing, and masking. Then, principal component analysis(PCA), partial least squares-discriminant analysis(PLS-DA), and competitive adaptive reweighted sampling(CARS) were performed to reduce the dimension of the hyperspectral data. Finally, support vector machine(SVM), feedforward neural network(FFNN), and convolutional neural network(CNN) were used for data training of the spectral images and spectral curves with dimension reduction. The results showed that applying CARS as a variable selection method before PLS-DA on the hyperspectral data of Astragali Radix achieved the accuracy, precision, and recall of 100% on the CNN test dataset. The F_1-score and area under the curve of ROC(AUC) reached 1. This method is convenient, quick, sample-saving, and non-destructive, providing technical support for rapid identification of the origins and cultivation patterns of Astragali Radix.
Drugs, Chinese Herbal/chemistry* ; Neural Networks, Computer ; Algorithms ; Support Vector Machine ; Principal Component Analysis ; Discriminant Analysis ; Hyperspectral Imaging/methods* ; Least-Squares Analysis ; Astragalus Plant/growth & development* ; Astragalus propinquus/growth & development*