Objective: To investigate the incidence and risk factors of open gingival embrasures (OGEs) in the incisor region after treatment with clear aligners in adult non-extraction patients and provide a reference for preventing the occurrence of an open gingival wedge gap in the incisal area after orthodontic treatment. Methods: This study has been reviewed and approved by the institutional medical ethics committee, and informed consent was obtained from the patients. A total of 125 adult patients with malocclusion who completed clear aligner treatment at Hefei Stomatological Hospital from September 2022 to December 2024 were selected as the study subjects. Based on the presence or absence of OGEs in the incisor region observed in frontal intraoral photographs taken immediately after treatment completion, the patients were divided into a normal group and an OGE group. Clinical data, including intraoral photographs, digital models, and cone-beam computed tomography before and after treatment, were analyzed. Measurements such as incisor overlap and rotation, crown morphology, number of attachments, and interproximal enamel reduction (IPR) were recorded and analyzed. Results: The incidence of OGEs between the maxillary and mandibular central incisors after clear aligner treatment in adult patients was 28.8% and 39.2%, respectively. No statistically significant differences were observed between the normal and OGE groups in terms of sex, Angle's classification, gingival biotype, overbite, overjet, IPR amount, age, treatment duration, tooth axis angulation, or horizontal movement distance of mandibular central incisors before and after treatment (P 0.05). However, significant differences were found in the number of attachments, anteroposterior distance between mesial incisal angles, distance from the interproximal contact point (ICP) to the alveolar bone crest (ABC) (ICP-ABC), horizontal distance between mesial cementoenamel junction (CEJ) of two adjacent central incisors (CEJ-CEJ) and labial alveolar bone thickness (P 0.05). IPR amount and mandibular incisor intrusion were significantly associated with the severity of OGEs (P 0.05). Regression analysis revealed that the number of attachments, anteroposterior distance between mesial incisal angles, ICP-ABC distance, and CEJ-CEJ horizontal distance were significantly correlated with the occurrence of OGEs. Conclusion The incidence of open gingival embrasures in the mandibular central incisor region is relatively high among adult patients treated with clear aligners. The number of attachments (n = 2), the anteroposterior distance between the mesio-incisal angles, the distance from the tooth contact point to the alveolar bone crest, and the horizontal distance between adjacent cementoenamel junctions have been identified as risk factors for the development of open gingival embrasures upon completion of orthodontic treatment.

Objective : To explore the changes of periodontal soft and hard tissue parameters of the maxillary central incisors after the distant migration of the maxillary total dentition in adult patients with different periodontal phenotypes, so as to provide a reference for orthodontic treatment. Methods: The study was approved by the hospital ethics committee, and the patients signed the informed consent form. Fifty-two adult patients in the orthodontic department of Hefei Stomatological Hospital were selected and divided into thick gingival and thin gingival groups, with 26 cases in each group. The labial and palatal alveolar bone parameters and various periodontal indexes of the maxillary central incisor teeth of the two groups were collected and recorded before and after treatment. SPSS 26.0 statistical software was used to statistically analyze the intra-group and inter-group differences. Results: After orthodontic treatment, the differences in sella-nasion-subspinale angle (SNA), sella-nasion-supramental angle (SNB), and subspinale-nasion-supramental angle (ANB) were not statistically significant (P > 0.05). However, the inclination of the upper middle incisor teeth (U1-NA) decreased significantly (P < 0.05), and there was no significant difference in SNA, SNB, ANB, and U1-NA between the two groups after treatment (P > 0.05). The thickness of the labial alveolar bone of the maxillary central incisors in both groups increased at the labial neck 1/3 and labial middle 1/3 (P < 0.05), and decreased at the apical 1/3 (P < 0.05). The thickness of the palatal alveolar bone decreased at the labial neck 1/3 and labial middle 1/3 (P < 0.01), and increased at the apical 1/3 (P < 0.01). In both groups, the height of the lip and palate of the upper jaw decreased to different degrees, and the height of the palatal alveolar bone was lower in the thin gingival group (P < 0.05). There were no significant differences in maxillary central incisor probing depth (PD), lip keratinized tissue width (KTW), or lip gingival recession (GR) between the two groups after treatment (P > 0.05). Conclusion In the process of maxillary central incisor adduction, the labial-palatine alveolar bone remodeling is not uniform, and the alveolar bone of palatine side is mainly absorbed, which should be paid attention to clinically. Palatal alveolar bone height decreased more significantly in patients with thin gingiva after orthodontic treatment, and the risk of bone fenestration and bone dehiscence was greater.

OBJECTIVE: To analyze the clinical characteristics and genotypic changes of six children with RARS2 gene variants. METHODS: The clinical data of 6 children with RARS2 gene variants diagnosed at the Third Affiliated Hospital of Zhengzhou University from January 2017 to August 2024 were collected. Genetic variants were detected using trio-whole exome sequencing. Genomic DNA was extracted from samples and subjected to high-throughput sequencing. Variants were detected and analyzed using relevant databases and software. Pathogenic variants were validated by Sanger sequencing. The protein structure encoded by a previously unreported variant was predicted using a SWISS-MODEL online server. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-373-01). RESULTS: Among the six children, four were males and two were females, with the most recent follow-up age ranging from 1-year-and-1-month to 7 years old. The age of onset was under 1 year in all cases. All six children exhibited seizures, including infantile spasms in three, spasms and tonic spasms in one, and focal seizures in two. One child became seizure-free for 4 ~ 5 years following Valproic acid combined with topiramate and adrenocorticotropic hormone (ACTH) pulse therapy, but subsequently experienced a relapse. Another child has remained seizure-free for nearly one year with oral sodium valproate, levetiracetam, and a "cocktail" therapy. Seizures were not controlled in the remaining four children. Pontocerebellar hypoplasia was observed on neuroimaging in two children. All six patients exhibited severe psychomotor retardation. A total of 10 RARS2 gene variants were identified, three of which were previously unreported. CONCLUSION The predominant clinical features of Pontocerebellar hypoplasia associated with RARS2 gene variants include infantile onset, severe psychomotor retardation or regression, drug-resistant epilepsy, and feeding difficulties. The characteristic neuroimaging finding is pontocerebellar hypoplasia. However, its appearance may vary widely with time. The majority of affected children have a poor prognosis.
Humans ; Male ; Female ; Child, Preschool ; Infant ; Child ; Olivopontocerebellar Atrophies/genetics* ; Arginine-tRNA Ligase/genetics* ; Mutation ; Cerebellar Diseases

Objective:To compare the effects of different automatic normal tissue objective(NTO)weights(WNTO)of Eclipse planning system on intensity modulated radiation therapy(IMRT)of fixed field for abdominal tumor.Methods:Twenty patients with rectal cancer and twenty patients with cervical cancer who received radiotherapy in The Second People's Hospital of Huludao from September 2022 to January 2024 were selected.5 groups of different plans[WNTO20,40,60,80 and 100]were respectively formulated for each patient.Among of them,the WNTO20 plan was control group,and other 4 groups were respectively WNTO40 group,WNTO60 group,WNTO80 group and WNTO100 group.Then,the differences in dosimetry and monitor units(MU)among 5 groups of plans were compared.Results:In the WNTO 80 and 100 groups of patients with rectal cancer,the conformation index(CI)values of target regions of them were respectively 1.02±0.04 and 1.00±0.03,all of which approached to 1,and the CI values of two groups were lower than that of control group,and the differences were statistically significant(t=15.986,18.422,P<0.05).The homogeneity index(HI)of WNTO 80 and 100 groups were respectively 0.09±0.12 and 0.10±0.14,which were higher than that of control group,and the differences were statistically significant(t=-1.371,-1.463,P<0.05).The 52Gy dose volume(Vmax52)of small intestine of the two groups were respectively(4.48±14.49)and(4.77±10.47)cm3,which were higher than that of control group,and the differences were statistically significant(t=-1.360,-2.005,P<0.05).The 30 Gy dose volume percentage(V30 Gy)values of the right femoral heads of the two groups were respectively(12.28±4.57)%and(10.96±4.17)%,which were lower than that of control group,and the differences were statistically significant(t=6.893,6.75,P<0.05).The 30 Gy dose volume percentage(V30 Gy)values of the left femoral head of the two groups were respectively(11.57±4.41)%and(10.17±3.78)%,which were lower than that of control group,and the differences were statistically significant(t=6.782,5.963,P<0.05).The MU value of WNTO100 group was(1254±93)MU,which was higher than that of control group,and the difference was statistically significant(t=-3.741,P<0.05).In the WNTO 80 and 100 groups of patients with cervical cancer,the CI values of target regions of them were respectively 1.03±0.32 and 1.02±0.03,all of which approached to 1,and the CI values of the two groups were lower than those of control group,and the differences were statistically significant(t=20.069,19.475,P<0.05).The HI values of them were respectively 0.07±0.05 and 0.08±0.01,which were higher than that of control group,and the differences were statistically significant(t=-12.445,-19.478,P<0.05).The V30 Gy values of the right femoral heads of the two groups were respectively(16.11±4.71)%and(14.90±4.56)%,which were lower than that of control group,and the differences were statistically significant(t=7.875,8.020,P<0.05).The V30 Gy values of the left femoral head of the two groups were respectively(15.21±3.71)%and(13.93±3.77)%,which were lower than that of control group,and the differences were statistical significance(t=7.617,7.436,P<0.05).The Vmax52 of small intestine of the two groups were respectively(0.82±1.10)and(4.47±8.81)cm3,which were higher than that of control group,and the difference was statistically significant(t=-2.985,-2.388,P<0.05).Conclusion:The WNTO80 is recommended for IMRT plan of radiotherapy on abdominal tumor,which can more quickly and better meet the assessment conditions of IMRT plan.

Objective:To evaluate the effects of low level laser therapy(LLLT)on accelerating tooth movement and reducing pain during orthodontic treatment.Methods:26 patients with malocclusion of class Ⅱ,division 1 were included.Maxillary teeth on left and right sides were selected randomly as the experimental side and control side.Dental arches of experimental side received the irra-diation of LLLT with 7.5 J/cm2 for each point,10 points for each tooth,and the control side received placebo treatment,with the la-ser light off.The pain and the rate of teeth movement on experimental and control sides were compared.Results:The mean score of pain at the control side was significantly higher than that of the experimental side in the 7 days(P＜0.001).The average movement rate of the experimental group was higher than that of the control group(P＜0.05).Conclusion:LLLT is effective in accelerating tooth movement and reducing the related pain.

Antibiotics are widely used in clinical treatment of bacterial infection diseases and in the breeding of livestock,poultry and aquatic products.However,the irrational and excessive use of antibiotics not only leads to the emergence of drug-resistant superbugs,but also the antibiotics discharged into the environment pose a significant threat to the environment and human health.Antibiotics have been included in the list of key new pollutants to be controlled.Therefore,the detection of residual antibiotics in environmental media and food is of vital importance for protecting the environment and public health.Among various antibiotic detection methods,electrochemical sensors have attracted extensive attention due to their high sensitivity,low cost,simplicity and rapidity.Appropriate modification of the electrode surface can enhance the sensitivity of electrochemical sensors,reduce interference and expand the detection range.Metal-organic frameworks(MOFs)materials have the advantages of rich types,adjustable structure and activity,high specific surface area and high porosity,and show great application potential in the field of electrochemical sensing.This paper first introduces the synthesis methods of MOFs,reviews the research progress of MOFs-modified electrodes for detection of common antibiotics by electrochemical sensors,and finally looks forward to their future development trends in the field of rapid antibiotic detection.

Current ambient mass spectrometry ionization often requires external auxiliary equipment such as high-voltage power supply,gas cylinder,and syringe pump.Moreover,the process of sample preparation is cumbersome,and the experimental operations are complex,which makes it difficult to adapt to real-time on-site detection.In this work,a novel method was proposed,in which direct sampling of raw samples,online extraction of interest analytes,and ionization of target molecules were integrated into a single unit.With the developed method,the in-situ extraction and nano-electrospray ionization for both liquid and solid raw samples were achieved.Also,a handheld ion source and its pose adjustment device were developed,and the position and angle parameters were subsequently optimized.The performance of the ionization device was tested using standard solutions of caffeine and reserpine.The limits of detection(LODs)were 0.08 μg/L and 0.14 μg/L,with relative standard deviations(RSDs)≤3.7% and≤5.6%,respectively,indicating that the device possessed high sensitivity and stability.Using this device,three different concentrations of reserpine standard solutions were continuously tested for five days.The intra-day RSDs were consistently≤4.7% and the inter-day RSDs were all≤10.3%,showing the good working stability of the device.Without any pretreatment,a rapid qualitative detection of medicinal components including astragaloside II and cycloastragenol in five traditional Chinese medicines was carried out,with RSDs≤8.0% and≤7.1%,respectively.Additionally,rapid qualitative detection of gallic acid,a medicinal component,in white peony roots,and hypaphorine as well as quercetin in cowherb seeds were carried out,with RSDs≤7.0%,≤6.4% and≤6.1%,respectively.These results demonstrated that the ionization technology and device exhibited good stability during qualitative detection of raw samples.

A rapid and accurate method for textile fiber identification was developed for quality control and consumer protection.This method utilized electric soldering iron burning-mesh collision enhanced microtube plasma ionization mass spectrometry(ESIB-MC-μTP-MS)to acquire textile fiber MS data and used a random forest(RF)prediction model to identify fiber composition based on these MS data.The MC-μTP device involved in the method was a homemade low-temperature plasma ionization device constructed using cost-effective and readily available components.The system was applicable for direct analysis of small amount of textile samples without any complex sample pretreatment processes.Characteristic thermal decomposition products of different fibers were generated via soldering iron burning(350℃)in ambient atmosphere,and were subsequently analyzed by a mass spectrometer,with each analysis completed within 5 s.Raw MS data underwent noise reduction,normalization,and global binning steps to form a dataset,and its intrinsic class separability was evaluated using principal component analysis(PCA)combined with k-means clustering.Then,the RF model was trained based on the dimensionality-reduced textile fiber dataset.After grid search optimization,this model demonstrated robust performance with a 0.9762 out-of-bag score,a 0.9683 cross-validation accuracy(5-fold),and a 0.9636 test accuracy,supported by precision,recall,and F1-scores exceeding 0.889 for all fiber classes.The method was applied to analysis of 30 luxury apparel samples from eight brands,among which 20 samples achieved 100%prediction confidence,aligning with labeled compositions.The identification result of two low-confidence samples was further confirmed using attenuated total reflection Fourier transform infrared spectroscopy(ATR-FT-IR).The method has been proven to be simple,portable and with minimal sample requirements for on-site customs inspections,providing a viable tool in the fight against counterfeit products,therefore supporting regulatory enforcement and consumer trust in the textile goods market.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Objective:To improve the risk management process for clinical trial projects using healthcare failure mode and effect analysis(HFMEA), for references for enhancing the risk identification and preventing capabilities of drug clinical trial institutions.Methods:From June to December 2022, this study focused on the project management process of a clinical trial centre in a tertiary public hospital. Following HFMEA procedures, a research team was established. Core processes prone to failure modes in the drug clinical trial project management and their potential failure modes were identified through group discussions, literature analysis, the Delphi method, and decision tree analysis. High-risk failure modes were screened via risk assessment, corresponding improvement measures were formulated and performed, and their effectiveness was validated.Results:The study identified 6 main processes, 17 sub-processes, and 102 potential failure modes. Delphi analysis confirmed 88 failure modes, with 19 having a failure risk priority number(RPN)≥8.00. Decision tree analysis identified 16 high-risk failure modes, involving 5 main processes and 10 sub-processes. Targeted improvements, such as adopting standardized hospital contract templates and setting deadlines for final payment settlement, etc., were implemented. One year post-implementation(January 2024), the RPN for all 16 high-risk failure modes were<8.00.Conclusions:HFMEA could help hospital clinical trial institutions comprehensively and systematically identify high-risk failure modes in the project management process, develop targeted improvement measures, and improve the level of drug clinical trial project management.