Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Objective:To explore the application effect of Kaitianmen point massage on pain, faligue, anxiety and depression in patients with rheumatoid arthritis.Methods:This study was a randomized controlled study, a total of 80 patients with rheumatoid arthritis who were admitted to Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine from May to November 2023 were selected as the research objects. The control group was given routine treatment and nursing, and the experimental group was given Kaitianmen acupoint massage on the basis of routine treatment and nursing. The differences in pain score, fatigue score, anxiety and depression score before and after intervention were compared between the two groups.Results:In the final, there were 37 cases in the experimental group and 36 cases in the control group completed the study. Before intervention, there was no statistically significant difference in pain scores, fatigue scores, anxiety and depression scores between the two groups (all P>0.05). After four weeks of intervention, the pain score of the experimental group was (2.06 ± 0.35), and that of the control group was (3.72 ± 0.59), the difference was statistically significant ( t=14.57, P<0.05). After four weeks of intervention, the fatigue score of the experimental group was (20.11 ± 8.03), and that of the control group was (25.02 ± 8.32), the difference was statistically significant ( t=2.55, P<0.05). After four weeks of intervention, the anxiety score of the experimental group was (48.33 ± 6.13), which was significantly different from (53.99 ± 4.91) of the control group ( t=4.35, P<0.05), and the depression score of the experimental group was (49.99 ± 6.33), compared with the (54.86 ± 4.83) of control group, the difference was statistically significant ( t=3.69, P<0.05). Conclusions:Kaitianmen acupoint massage can relieve limb pain, fatigue, anxiety and depression in patients with rheumatoid arthritis, which is worthy of clinical promotion.

Objective:Serum tumor markers(STMs)are important indicators associated with metastasis in patients with breast cancer(BC).This study focuses on predicting the risk of axillary lymph node metastasis(ALNM)in patients with invasive BC in Xinjiang by combining STMs and clinicopathological factors.Methods:Data from 3,360 patients diagnosed with invasive BC and treated at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2019 were analyzed,focusing on 11 relevant demographic and clinical factors.Five ma-chine learning(ML)algorithms were used to develop predictive models for ALNM.Their performance was compared using metrics such as area under the curve(AUC),accuracy,Kappa value,and Brier score.The best-performing model was then compared with a nomogram based on Logistic regression(LR)to determine the final model.Shapley additive explanations(SHAP)values were used to rank the importance of factors contributing to ALNM.Results:Of the 3,266 patients studied,1,368(41.89%)developed ALNM.Among the five constructed ML models,eXtreme gradient boosting(XGBoost)demonstrated the best predictive performance with an AUC of 0.768,an accuracy of 0.735,and a Kappa value of 0.450.In both the training and validation sets,the XGBoost model outperformed the LR-based nomogram(training set AUC and Brier score:0.822(0.810～0.820)vs.0.742(0.721～0.763),0.170(0.163～0.177)vs.0.197(0.189～0.204);validation set AUC and Brier score:0.769(0.740～0.770)vs.0.747(0.716～0.779),0.190(0.178～0.202)vs.0.195(0.189～0.204)).Therefore,XGBoost was selec-ted as the final predictive model.SHAP analysis identified T stage,age,molecular subtype,and CEA level as the four most influential factors for ALNM prediction.Conclusions:The XGBoost model effectively predicts the risk of ALNM in patients with invasive BC based on STMs and clinicopathological features,outperforming traditional nomograms.SHAP analysis highlighted T stage as the most critical factor influencing ALNM.

Objective:Serum tumor markers(STMs)are important indicators associated with metastasis in patients with breast cancer(BC).This study focuses on predicting the risk of axillary lymph node metastasis(ALNM)in patients with invasive BC in Xinjiang by combining STMs and clinicopathological factors.Methods:Data from 3,360 patients diagnosed with invasive BC and treated at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2019 were analyzed,focusing on 11 relevant demographic and clinical factors.Five ma-chine learning(ML)algorithms were used to develop predictive models for ALNM.Their performance was compared using metrics such as area under the curve(AUC),accuracy,Kappa value,and Brier score.The best-performing model was then compared with a nomogram based on Logistic regression(LR)to determine the final model.Shapley additive explanations(SHAP)values were used to rank the importance of factors contributing to ALNM.Results:Of the 3,266 patients studied,1,368(41.89%)developed ALNM.Among the five constructed ML models,eXtreme gradient boosting(XGBoost)demonstrated the best predictive performance with an AUC of 0.768,an accuracy of 0.735,and a Kappa value of 0.450.In both the training and validation sets,the XGBoost model outperformed the LR-based nomogram(training set AUC and Brier score:0.822(0.810～0.820)vs.0.742(0.721～0.763),0.170(0.163～0.177)vs.0.197(0.189～0.204);validation set AUC and Brier score:0.769(0.740～0.770)vs.0.747(0.716～0.779),0.190(0.178～0.202)vs.0.195(0.189～0.204)).Therefore,XGBoost was selec-ted as the final predictive model.SHAP analysis identified T stage,age,molecular subtype,and CEA level as the four most influential factors for ALNM prediction.Conclusions:The XGBoost model effectively predicts the risk of ALNM in patients with invasive BC based on STMs and clinicopathological features,outperforming traditional nomograms.SHAP analysis highlighted T stage as the most critical factor influencing ALNM.

Objective:To explore the application effect of Kaitianmen point massage on pain, faligue, anxiety and depression in patients with rheumatoid arthritis.Methods:This study was a randomized controlled study, a total of 80 patients with rheumatoid arthritis who were admitted to Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine from May to November 2023 were selected as the research objects. The control group was given routine treatment and nursing, and the experimental group was given Kaitianmen acupoint massage on the basis of routine treatment and nursing. The differences in pain score, fatigue score, anxiety and depression score before and after intervention were compared between the two groups.Results:In the final, there were 37 cases in the experimental group and 36 cases in the control group completed the study. Before intervention, there was no statistically significant difference in pain scores, fatigue scores, anxiety and depression scores between the two groups (all P>0.05). After four weeks of intervention, the pain score of the experimental group was (2.06 ± 0.35), and that of the control group was (3.72 ± 0.59), the difference was statistically significant ( t=14.57, P<0.05). After four weeks of intervention, the fatigue score of the experimental group was (20.11 ± 8.03), and that of the control group was (25.02 ± 8.32), the difference was statistically significant ( t=2.55, P<0.05). After four weeks of intervention, the anxiety score of the experimental group was (48.33 ± 6.13), which was significantly different from (53.99 ± 4.91) of the control group ( t=4.35, P<0.05), and the depression score of the experimental group was (49.99 ± 6.33), compared with the (54.86 ± 4.83) of control group, the difference was statistically significant ( t=3.69, P<0.05). Conclusions:Kaitianmen acupoint massage can relieve limb pain, fatigue, anxiety and depression in patients with rheumatoid arthritis, which is worthy of clinical promotion.

Objective:This study aimed to identify key genes in endothelial cell (EC) associated with the pathogenesis and progression of human venous malformations (VMs) through bioinformatics analysis, providing potential biomarkers for early screening and targeted therapy of VMs.Methods:A case-control study was conducted using surgically resected tissue specimens from VMs patients at the Third Affiliated Hospital of Zhengzhou University (from September 2021 to September 2023), with malformed venous tissues as the experimental group and distal normal venous tissues as controls. Single-nucleus RNA sequencing (snRNA-seq) was performed on paired experimental and control samples from four VM patients. High-dimensional weighted gene co-expression network analysis (hdWGCNA), combined with gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and protein-protein interaction (PPI) network analysis, identified critical genes. Validation experiments included 15 additional VM cases and controls using reverse transcription quantitative polymerase chain reaction (RT-qPCR), immunohistochemistry (IHC), and Western blot.Results:A total of 55 430 nuclei were captured using snRNA-seq, with 30 391 nuclei from the experimental group and 25 039 nuclei from the control group. Cluster analysis identified 22 distinct cell populations, which were annotated into 8 cell types. hdWGCNA revealed four modules associated with invasion, which were enriched in angiogenesis, integrin signaling, and cell adhesion according to GO analysis. KEGG pathway analysis indicated that the PI3K-AKT signaling pathway and focal adhesion are key regulatory mechanisms. PPI network analysis combined with cytoscape identified EGFL7, TEK, and FLT1 as key genes. RT-qPCR results demonstrated that the relative mRNA expression levels of these three genes in the experimental group (6.66±2.31, 1.86±0.62, 3.49±0.58) were significantly higher than those in the control group (1.05±0.14, 1.00±0.14, 1.06±0.25), with statistically significant differences ( t=9.37, 4.27, 11.20, P<0.05). Immunohistochemical analysis showed that the relative protein expression levels of these three genes in the cytoplasm of the experimental group (0.84±0.15, 0.68±0.14, 0.85±0.12) were also significantly higher than those in the control group (0.19±0.05, 0.23±0.06, 0.30±0.05), with statistically significant differences ( t=16.62, 5.93, 11.68, P<0.05). Western blot analysis confirmed that the relative protein expression levels of these three genes in the experimental group (0.35±0.04, 0.36±0.09, 0.31±0.04) were significantly higher than those in the control group (0.19±0.01, 0.13±0.02, 0.14±0.04), with statistically significant differences ( t=7.05, 4.61, 5.93, P<0.05). Conclusion:EGFL7, FLT1, and TEK in EC may play crucial roles in the occurrence and invasion of VMs.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective:This study aimed to identify key genes in endothelial cell (EC) associated with the pathogenesis and progression of human venous malformations (VMs) through bioinformatics analysis, providing potential biomarkers for early screening and targeted therapy of VMs.Methods:A case-control study was conducted using surgically resected tissue specimens from VMs patients at the Third Affiliated Hospital of Zhengzhou University (from September 2021 to September 2023), with malformed venous tissues as the experimental group and distal normal venous tissues as controls. Single-nucleus RNA sequencing (snRNA-seq) was performed on paired experimental and control samples from four VM patients. High-dimensional weighted gene co-expression network analysis (hdWGCNA), combined with gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), and protein-protein interaction (PPI) network analysis, identified critical genes. Validation experiments included 15 additional VM cases and controls using reverse transcription quantitative polymerase chain reaction (RT-qPCR), immunohistochemistry (IHC), and Western blot.Results:A total of 55 430 nuclei were captured using snRNA-seq, with 30 391 nuclei from the experimental group and 25 039 nuclei from the control group. Cluster analysis identified 22 distinct cell populations, which were annotated into 8 cell types. hdWGCNA revealed four modules associated with invasion, which were enriched in angiogenesis, integrin signaling, and cell adhesion according to GO analysis. KEGG pathway analysis indicated that the PI3K-AKT signaling pathway and focal adhesion are key regulatory mechanisms. PPI network analysis combined with cytoscape identified EGFL7, TEK, and FLT1 as key genes. RT-qPCR results demonstrated that the relative mRNA expression levels of these three genes in the experimental group (6.66±2.31, 1.86±0.62, 3.49±0.58) were significantly higher than those in the control group (1.05±0.14, 1.00±0.14, 1.06±0.25), with statistically significant differences ( t=9.37, 4.27, 11.20, P<0.05). Immunohistochemical analysis showed that the relative protein expression levels of these three genes in the cytoplasm of the experimental group (0.84±0.15, 0.68±0.14, 0.85±0.12) were also significantly higher than those in the control group (0.19±0.05, 0.23±0.06, 0.30±0.05), with statistically significant differences ( t=16.62, 5.93, 11.68, P<0.05). Western blot analysis confirmed that the relative protein expression levels of these three genes in the experimental group (0.35±0.04, 0.36±0.09, 0.31±0.04) were significantly higher than those in the control group (0.19±0.01, 0.13±0.02, 0.14±0.04), with statistically significant differences ( t=7.05, 4.61, 5.93, P<0.05). Conclusion:EGFL7, FLT1, and TEK in EC may play crucial roles in the occurrence and invasion of VMs.

Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.

Purpose To compare the similarity between the short-axis left ventricular cavity fractional area change measured by cardiac magnetic resonance and myocardial circumferential strain.Materials and Methods Forty cases of cardiomyopathy with different phenotypes and high-quality cardiac magnetic resonance images in PACS data center of the Sixth Medical Center of Chinese PLA General Hospital were retrospectively selected.All patients underwent cine imaging on a 3.0T MRI scanner.The endocardial and epicardial areas of each short-axis left ventricular slice were measured using Medviso Segment software to calculate slice-level fractional area change and global fractional area change.Slice circumferential strain and global circumferential strain were measured using Circle CVI42 software.Linear regression analysis was performed to assess correlations between global circumferential strain and global fractional area change,as well as slice circumferential strain and slice-level fractional area change.Results Both global circumferential strain and global fractional area change,as well as slice circumferential strain and slice-level fractional area change,exhibited positive correlations(all r>0.95).Linear regression demonstrated significant relationships(regression coefficients:2.40-3.16,P<0.05),with coefficient magnitudes related to left ventricular cavity radius.After normalization,circumferential strain and fractional area change curves showed identical standard deviations.Conclusion Short-axis left ventricular cavity fractional area change and myocardial circumferential strain display significant positive correlations at both slice and global levels,with similar curve morphology.These findings suggest that circumferential strain and fractional area change possess comparable statistical value in assessing cardiac function.