Early correction of childhood malocclusion is timely managing morphological, structural, and functional abnormalities at different dentomaxillofacial developmental stages. The selection of appropriate imaging examination and comprehensive radiological diagnosis and analysis play an important role in early correction of childhood malocclusion. This expert consensus is a collaborative effort by multidisciplinary experts in dentistry across the nation based on the current clinical evidence, aiming to provide general guidance on appropriate imaging examination selection, comprehensive and accurate imaging assessment for early orthodontic treatment patients.
Humans ; Malocclusion/diagnostic imaging* ; Child ; Consensus

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 To find out whether photobiomodulation(PBM)can mitigate cognitive dysfunction caused by chronic stress by affecting levels of adenosine triphosphate(ATP)and adenosine receptors.Methods Twenty-four C57BL/6J mice were randomly divided into a control group,a stress group,and a treatment group.Chronic unpredictable mild stress was used to establish a mouse model of stress.Six weeks into modeling,the treatment group was subjected to one week of PBM interventions.Behavioral tests were conducted to observe behavioral changes in the mice.Western blotting(WB)was used to detect the expressions of A1,A2B,and A3 adenosine receptors in the hippocampus and prefrontal cortex of mice in the three groups.Twelve C57BL/6J mice were randomly divided into a control group and an intervention group.The intervention group received a week of PBM interventions and underwent behavioral testing.WB was used to detect the expression changes of A1,A2B,and A3 adenosine receptors in the hippocampus and prefrontal cortex in both groups.Immunofluorescence assay was adopted to detect the expression of c-Fos in the hippocampus of mice in the two groups.The ATP assay kit made by Beyotime Biotechnology Co.,Ltd.was used to measure changes in ATP contents in the hippocampus and prefrontal cortex tissues of mice.Cell experiments were conducted to verify the effect of PBM on intracellular ATP contents.Results Mice in the stress group covered a similar distance to the control group,but finished far fewer platform crossings.There was no significant difference between the treatment group and the control group in the number of times of platform crossings,but compared favorably with the stress group where the levels of adenosine receptors in the hippocampus and prefrontal cortex were lower,but were increased by PBM.After PBM interventions in normal mice,platform crossings were increased significantly compared to the control group.PBM also raised adenosine receptor levels and ATP contents in the hippocampus and prefrontal cortex,and increased hippocampal c-Fos expressions.In vitro,PBM elevated intracellular ATP levels.Conclusion PBM may improve chronic stress-induced cognitive dysfunction by regulating ATP levels and adenosine receptor expressions,thereby modulating neuronal responsiveness in the hippocampus.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the feasibility,reliability and validity of the symptom identification scale for kidney yang deficiency syndrome.Methods The symptom identification scale for kidney yang deficiency syndrome developed in previous research was administered to 200 vascular cognitive impairment patients from September 2020 to September 2022 to assess feasibility through recall rate,completion rate,and completion time;reliability was measured using retest reliability,split-half reliability,homogeneity reliability,and inter-rater reliability;and validity was evaluated based on discriminant and structural validity.Results A total of 200 scales were sent out,and all of them cooperated and were completed and retrieved within 20 min.The results of reliability analysis showed that the retest reliability of the scale was 0.828 for the dimension of yang deficiency and 0.718 for the dimension of kidney qi deficiency;the Spearman-Brown coefficient of split-half reliability was 0.784;the Cronbach coefficient of the dimension of yang deficiency was 0.799,and the Cronbach coefficient of the dimension of kidney qi deficiency in the homogeneity reliability was 0.670.The results of the analysis showed that the differences between the kidney yang deficiency syndrome group and the non-kidney yang deficiency syndrome group in the yang deficiency dimension,kidney qi deficiency dimension scores and total scale scores in the discriminant validity were statistically significant(P<0.001);the KMO value in the structural validity was 0.842,and a total of two factors with eigenvalues greater than 1 were extracted,with a cumulative variance contribution rate of 58.227%.Conclusion The symptom identification scale for kidney yang deficiency syndrome demonstrates adequate reliability and validity,potentially enhancing the prediction of kidney yang deficiency in vascular cognitive impairment.However,the validity of the scale is somewhat limited and requires further refinement for clinical application.

Objective To construct a list of quality scoring criteria for the attached sheet to the summary page of inpatient cases to achieve quantitative evaluation of the data quality.Methods It uses the Data Quality Management model of the American AHIMA as the evaluation framework to develop the list of data quality scoring criteria for the attached sheet,and score in Attached Sheet to the Summary Page of Inpatient Cases issued by the Hubei Provincial Health Commission as a demonstration.Results The average score of the 40 items in Attached Sheet to the Summary Page of Inpatient Casesis 6.725 out of 10.The main quality defects include that all items fail to clarify the person responsible for filling or the time limit for filling.In addition,some items are duplicated with the summary page(35%)or do not have a summary nature(40%).Conclusion Significant room exists for the improvement in the data quality of the attached sheet,especially in defining the person responsible and the time limit for filling in when setting up the items,making sure that the items supplement and extend the summary page,and applying effective quality control methods to the items.

Metabolic heterogeneity plays a central role in sustaining uncontrolled cancer cell proliferation and shaping the tumor microenvironment(TME),which significantly compromises the clinical outcomes and responses to therapy in head and neck squamous cell carcinoma(HNSCC)patients.This highlights the urgent need to delineate the intrinsic heterogeneity and biological roles of metabolic vulnerabilities to advance precision oncology.The metabolic heterogeneity of malignant cells was identified using single-cell RNA sequencing(scRNA-seq)profiles and validated through bulk transcriptomes.Serine-glycine-one-carbon(SGOC)metabolism was screened out to be responsible for the aggressive malignant properties and poor prognosis in HNSCC patients.A 4-SGOC gene prognostic signature,constructed by LASSO-COX regression analysis,demonstrated good predictive performance for overall survival and therapeutic responses.Patients in the low-risk group exhibited greater infiltration of exhausted CD8+T cells,and demonstrated better clinical outcomes after receiving immunotherapy and chemotherapy.Conversely,high-risk patients exhibited characteristics of cold tumors,with enhanced IMPDH1-mediated purine biosynthesis,resulting in poor responses to current therapies.IMPDH1 emerged as a potential therapeutic metabolic target.Treatment with IMPDH inhibitors effectively suppressed HNSCC cell proliferation and metastasis and induced apoptosis in vitro and in vivo by triggering GTP-exhaustion nucleolar stress.Our findings underscore the metabolic vulnerabilities of HNSCC in facilitating accurate patient stratification and individualized precise metabolic-targeted treatment.

Metabolic heterogeneity plays a central role in sustaining uncontrolled cancer cell proliferation and shaping the tumor microenvironment(TME),which significantly compromises the clinical outcomes and responses to therapy in head and neck squamous cell carcinoma(HNSCC)patients.This highlights the urgent need to delineate the intrinsic heterogeneity and biological roles of metabolic vulnerabilities to advance precision oncology.The metabolic heterogeneity of malignant cells was identified using single-cell RNA sequencing(scRNA-seq)profiles and validated through bulk transcriptomes.Serine-glycine-one-carbon(SGOC)metabolism was screened out to be responsible for the aggressive malignant properties and poor prognosis in HNSCC patients.A 4-SGOC gene prognostic signature,constructed by LASSO-COX regression analysis,demonstrated good predictive performance for overall survival and therapeutic responses.Patients in the low-risk group exhibited greater infiltration of exhausted CD8+T cells,and demonstrated better clinical outcomes after receiving immunotherapy and chemotherapy.Conversely,high-risk patients exhibited characteristics of cold tumors,with enhanced IMPDH1-mediated purine biosynthesis,resulting in poor responses to current therapies.IMPDH1 emerged as a potential therapeutic metabolic target.Treatment with IMPDH inhibitors effectively suppressed HNSCC cell proliferation and metastasis and induced apoptosis in vitro and in vivo by triggering GTP-exhaustion nucleolar stress.Our findings underscore the metabolic vulnerabilities of HNSCC in facilitating accurate patient stratification and individualized precise metabolic-targeted treatment.

Humans ; Consensus ; Pancreatic Neoplasms/therapy* ; Neuroendocrine Tumors/therapy*