BACKGROUND: Lung cancer is currently the most prevalent malignancy and the leading cause of cancer deaths worldwide. Although the early stage non-small cell lung cancer (NSCLC) presents a relatively good prognosis, a considerable number of lung cancer cases are still detected and diagnosed at locally advanced or late stages. Surgical treatment combined with perioperative multimodality treatment is the mainstay of treatment for locally advanced NSCLC and has been shown to improve patient survival. Following the standard methods of neoadjuvant therapy, perioperative management, postoperative adjuvant therapy, and other therapeutic strategies are important for improving patients' prognosis and quality of life. However, controversies remain over the perioperative management of NSCLC and presently consensus and standardized guidelines are lacking for addressing critical clinical issues in multimodality treatment. METHODS: The working group consisted of 125 multidisciplinary experts from thoracic surgery, medical oncology, radiotherapy, epidemiology, and psychology. This guideline was developed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The clinical questions were collected and selected based on preliminary open-ended questionnaires and subsequent discussions during the Guideline Working Group meetings. PubMed, Web of Science, Cochrane Library, Scopus, and China National Knowledge Infrastructure (CNKI) were searched for available evidence. The GRADE system was used to evaluate the quality of evidence and grade the strengths of recommendations. Finally, the recommendations were developed through a structured consensus-building process. RESULTS: The Guideline Development Group initially collected a total of 62 important clinical questions. After a series of consensus-building conferences, 24 clinical questions were identified and corresponding recommendations were ultimately developed, focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assement, and follow-up protocols for NSCLC. CONCLUSIONS This guideline puts forward reasonable recommendations focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assessment, and follow-up protocol of NSCLC. It standardizes perioperative multimodality treatment and provides guidance for clinical practice among thoracic surgeons, medical oncologists, and radiotherapists, aiming to reduce postoperative recurrence, improve patient survival, accelerate recovery, and minimize postoperative complications such as atelectasis.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Combined Modality Therapy ; Perioperative Care

[This corrects the article DOI: 10.1016/j.apsb.2018.08.009.].

Patients with periodontal disease often require combined periodontal-orthodontic interventions to restore periodontal health, function, and aesthetics, ensuring both patient satisfaction and long-term stability. Managing these patients involving orthodontic tooth movement can be particularly challenging due to compromised periodontal soft and hard tissues, especially in severe cases. Therefore, close collaboration between orthodontists and periodontists for comprehensive diagnosis and sequential treatment, along with diligent patient compliance throughout the entire process, is crucial for achieving favorable treatment outcomes. Moreover, long-term orthodontic retention and periodontal follow-up are essential to sustain treatment success. This expert consensus, informed by the latest clinical research and practical experience, addresses clinical considerations for orthodontic treatment of periodontal patients, delineating indications, objectives, procedures, and principles with the aim of providing clear and practical guidance for clinical practitioners.
Humans ; Consensus ; Orthodontics, Corrective/standards* ; Periodontal Diseases/complications* ; Tooth Movement Techniques/methods* ; Practice Guidelines as Topic

Cultivating general dentists who master standardized periodontal diagnosis and treatment techniques is conducive to the prevention and control of periodontal diseases, as well as to the improvement of oral health of our population. Manual supragingival scaling is the most important essential skill of periodontal initial therapy, and also the basic periodontal diagnosis and treatment technique that every general practitioner should know. This article starts from the reasons why manual supragingival scaling is important and how to standardize the teaching and training of manual supragingival scaling, unfolding the first chapter of basic periodontal diagnosis and treatment training to provide reference for promoting the standardized development of periodontology education in China.

Metabolomics, including targeted metabolomics and non-targeted metabolomics, is a method to study endogenous small molecule metabolites in organisms. The process of metabolomics analysis generally includes sample collection and pre-treatment, sample detection, data preprocessing, metabolite identification, data statistical analysis, and others. At present, metabolomics technology has been applied to study toxicological mechanism of occupational hazards, early detection and diagnosis of occupational diseases, screening biomarkers of occupational exposure, and others. The application of metabolomics technology to explore the relationship between workers' metabolites and exposure to occupational hazardous, assess the potential impact of occupational exposure on workers' health, and search for ideal biomarkers or therapeutic targets is conducive to early warning and monitoring of occupational health hazards, and assistance in the early diagnosis and prognosis of occupational diseases.In the future, further research is needed in the field of occupational health using metabolomics to establish more complete and standardized workflows and experimental methods, combine big data technology to explore potential biomarkers, utilize metabolic information to provide precise occupational health services, and use artificial intelligence models for data mining and disease diagnosis in metabolomics.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Objective To investigate the biomechanical effects of the medial protrusio technique on the acetabular cup in adult patients with developmental hip(DDH)after total hip arthroplasty.Methods The CT scanning data of bilateral hips from an adult patient with unilateral DDH were obtained further to develop a finite element model of the affected hemipelvis.The medial protrusio technique with various levels of medial protrusio was simulated,and the biomechanical differences between the medial protrusio and non-protrusio groups were evaluated.Results In the simulated pull-out test,the maximum anti-pull-out load strength of the non-protrusio group was 1 166 N.Compared with the non-protrusio group,the anti-pull-out load strength of the 4 mm and 8 mm medial protrusio groups increased by 45.8％and 57.1％,respectively.The peak micromotion at the cup-bone interface for the non-protrusio group was 166.4 μm in the standing phase of the gait cycle,and that of the 4 mm and 8 mm medial protrusio groups was decreased by 46.2％and 62.1％,respectively.Regarding the immediate stress distributions of periacetabular bone tissues following cup implantation,the differences between the groups were not significant.Under the loading condition of the standing phase,the non-protrusio group yielded the lowest average and peak stresses.The average stress increased with the level of medial protrusio,and the highest peak stress was observed in the 4 mm medial protrusio group.Conclusions The medial protrusio technique can improve the initial stability of the acetabular cup,and the initial stability is positively proportional to the protrusio level.However,owing to the concentration of marginal stress at the cup-bone interface,a minor medial protrusio cup with insufficient bone coverage might increase the risk of various prosthesis-related complications.

BACKGROUND:Minimally invasive surgery is developing rapidly.Robot-assisted minimally invasive transforaminal lumbar interbody fusion and robot-assisted unilateral biportal endoscopic transforaminal/posterior lumbar interbody fusion are important posterior minimally invasive surgical approaches to treat lumbar degenerative diseases.However,it is worth discussing which operation method is more advantageous. OBJECTIVE:To compare the clinical efficacy and imaging examination between different operation groups,and discuss the clinical application value of robot-assisted minimally invasive lumbar posterior fusion technology to treat lumbar degenerative diseases. METHODS:Clinical data of 83 patients with lumbar degenerative diseases from January 2018 to June 2022 at the Department of Orthopedics,Sichuan Academy of Medical Sciences&Sichuan Provincial People's Hospital were retrospectively analyzed.Of them,27 patients received robot-assisted minimally invasive transforaminal lumbar interbody fusion treatment(group A);30 patients received robot-assisted unilateral biportal endoscopic transforaminal/posterior lumbar interbody fusion treatment(group B),and 26 traditional minimally invasive transforaminal lumbar interbody fusion patients were selected as the control group(group C).There were no significant differences in gender,age,body mass index,surgical segment,preoperative visual analog scale score and Oswestry Disability Index among the three groups(P＞0.05).The operation time,intraoperative blood loss,complications,fluoroscopic dose,fluoroscopic time,and fluoroscopic frequency were compared among the three groups.Gertzbein-Robbins'classification was used to evaluate the accuracy of percutaneous pedicle screw.Visual analog scale and Oswestry Disability Index scores were evaluated after surgery.The excellent and good rate of the three surgical options was evaluated using Macnab's criteria. RESULTS AND CONCLUSION:(1)The operation time of group A was significantly shorter than that of groups B and C(P＜0.05),but there was no significant difference between group B and group C(P＞0.05).The intraoperative blood loss in group B was significantly less than that in group A,and that in group A was significantly less than that in group C(P＜0.05).(2)The fluoroscopic dose,fluoroscopic time,and fluoroscopic frequency of group C were significantly higher than those of groups A and B(P＜0.05).(3)Visual analog scale score and Oswestry Disability Index in the three groups significantly improved after operation when compared with that before operation(P＜0.05),but there was no significant difference among the three groups 1 day and 6 months after surgery(P＞0.05).(4)Postoperative imaging showed that the accuracy of percutaneous pedicle screw placement in groups A and B was better than that in group C(P＜0.05).(5)There was no significant difference in the excellent and good rate of MacNab criteria among the three groups(P＞0.05).(6)There was no significant difference in complications among the three groups(P＞0.05).(7)The results indicated that robot-assisted minimally invasive transforaminal lumbar interbody fusion and robot-assisted unilateral biportal endoscopic transforaminal/posterior lumbar interbody fusion are effective surgery methods for lumbar degenerative diseases.Compared with traditional minimally invasive transforaminal lumbar interbody fusion,robot-assisted minimally invasive transforaminal lumbar interbody fusion surgery has higher efficiency,less intraoperative radiation and higher internal fixation accuracy,which has a good clinical application value.

Objective To establish an allogeneic rat model of endometriosis and to evaluate the effects of gonadotropin-releasing hormone (GnRH) agonist GenSci006 on experimental rat endometriosis. Methods Endometrium from SPF grade donor female SD rats were transplanted onto the abdominal wall of recipient female rats to construct an allogeneic endometriosis model. The rats undergoing sham surgery were divided into the sham group. Three weeks later, the length, width and height of the ectopic endometrium were measured, and the volume of the endometrium (V₁) was calculated before drug administration. The modeling rats were randomly divided into four groups: model group, triptorelin group (0.25 mg/kg), GenSci006-1 group (0.125 mg/kg) and GenSci006-2 group (0.25 mg/kg). Each group had 16 rats and received a single dose of the corresponding drug. The sham group and model group were administered an equal volume of solvent. Three weeks after administration, ectopic endometrium was measured to calculate the volume V₂ and inhibition rate. The effect of GenSci006 on rat uterus and ovarian tissues was assessed by comparing organ coefficients and changes in pathological sections. Enzyme-linked immunosorbent assay (ELISA) was used to measure the levels of serum estradiol (E₂), progesterone (P₄), follicle stimulating hormone (FSH), and luteinizing hormone (LH). Real-time fluorescent quantitative PCR was used to detect the expression of GnRH receptor (GnRHR) mRNA in the hypothalamus and pituitary. Western blot was used to detect the expression of estradiol receptor alpha (ERα), beta (ERβ) and progesterone receptor (PR) in ectopic endometrium. Results Three weeks after administration, compared with the model group, the body weight of rats in the triptorelin and GenSci006-2 groups significantly increased (P < 0.05), while the volume of ectopic endometrium significantly decreased (P < 0.05). Compared with the sham group, the model group showed no significant changes in uterine and ovarian organ coefficients or endometrial thickness (P > 0.05). Compared with the model group, the uterine organ coefficients and endometrial thickness were significantly reduced in the triptorelin and GenSci006-2 groups (P < 0.05). Compared with the sham group, the serum levels of E₂, P₄, FSH and LH in the model group showed no significant changes (P > 0.05). Compared with the model group, the ovarian organ coefficient and serum P₄ levels of rats in the Triptorelin, GenSci006-1, and GenSci006-2 groups were significantly reduced (P < 0.05), while the serum LH levels of rats in the GenSci006-1 group were significantly increased (P < 0.05). However, there were no significant changes in serum E₂ and FSH levels in each group (P > 0.05). Compared with the model group, the expression levels of GnRHR mRNA in the pituitary tissue of rats in the triptorelin and GenSci006-2 groups were significantly downregulated (P < 0.05), with no significantly changes in the hypothalamus (P > 0.05). There were no significant changes in the expression level of GnRHR mRNA in the hypothalamus or the protein levels of ERα, ERβ and PR in the ectopic endometrial tissue in any group (P > 0.05). Conclusion The allogeneic endometriosis rat model is a suitable animal model for screening and evaluating drugs for treating endometriosis. The volume of ectopic endometrium, inhibition rate, uterine and ovarian organ coefficients, and serum E₂ levels may serve as indicators for detecting drug efficacy.

Background/Aims: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation. Methods: We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals. Results: A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers. Conclusions We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.