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 analyze the effect of releasing the lower pulmonary ligament on right residual lung expansion after right upper lobe resection under different body mass index (BMI) levels. Methods The clinical data of patients who underwent thoracoscopic right upper lobe resection in the First Affiliated Hospital with Nanjing Medical University from 2021 to 2022 were retrospectively analyzed. Patients were divided into a group A (17 kg/m2＜BMI≤23 kg/m2), a group B (23 kg/m2＜BMI≤29 kg/m2) and a group C (BMI＞29 kg/m2) according to BMI. The presence of residual cavity was judged by chest X-ray at 7-10 days after operation, the degree of compensation change of the right main bronchus angle was measured, and the changes in lung volume were determined by CT three-dimensional reconstruction. Results A total of 157 patients who underwent thoracoscopic right upper lobe resection were included, including 71 males and 86 females, with an average age of (59.7±11.2) years. There were 50 patients in the group A, 75 patients in the group B, and 32 patients in the group C. In the group A, compared with those without releasing the lower pulmonary ligament, patients with releasing had a lower incidence of postoperative residual cavity (P=0.016), greater changes in bronchus angle (P<0.001), and smaller changes in lung volume (P<0.001). In the group B and C, there was no significant effect of releasing the lower pulmonary ligament on postoperative residual cavity, bronchus angle, and lung volume changes (P>0.05). Conclusion For patients with thin and long body shape and low BMI, releasing the lower pulmonary ligament is helpful to promote the expansion of the residual lung after right upper lobe resection and reduce the occurrence of postoperative residual cavity in patients.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To investigate the short-term efficacy of 3D-printed artificial vertebral body combined with PEEK-Cage implantation in anterior cervical surgery for ossification of the posterior longitudinal ligament of the cervical spine(OPLL).Methods The clinical data of 15 patients with OPLL who underwent anterior cervical surgery with 3D-printed artificial vertebral body and PEEK-Cage implantation in the Fifth Department of Orthopaedics,Liaoning Provincial People's Hospital from September 2022 to June 2023 was retrospectively analyzed.The surgical time,intraoperative blood loss,postoperative drainage volume,bed rest time,hospital stay,and surgery-related complications of patients were analyzed.The Japanese Orthopaedic Association(JOA)score and visual analogue scale(VAS)score of patients were counted before surgery,3 days after surgery,1 month after surgery and 6 months after surgery.The changes of Cobb angle of fusion segment of patients were recorded before surgery,3 days after surgery,1 month after surgery and 6 months after surgery.Results All 15 patients successfully completed the surgery.The surgical time was 130 to 160 minutes,with an average of(148.68±10.04)minutes.The intraoperative blood loss was 50 to 200 mL,with an average of(130.0±18.8)mL.The postoperative drainage volume was 220 to 980 mL,with an average of(270.0±24.6)mL.The bed rest time was 3 to 11 days,with an average of(3.6±2.8)days.The hospital stay was 7 to 16 days,with an average of(8.2±2.6)days.All patients'incisions healed in the first stage,and no infection occurred.One patient suffered from dural sac tear during surgery;4 patients had dysphagia after surgery;1 patient suffered from muscle weakness of one limb after surgery;Hematoma formed in the incision of cervical spine in 1 patient 3 days after surgery.At 3 days,1 month,and 6 months after surgery,the Cobb angle,VAS score and JOA score of 3 patients with myeloid symptoms and upper limb root pain were significantly improved compared with those before surgery(P<0.05),and the Cobb angle and JOA score of 12 patients with only myeloid symptoms were significantly improved compared with those before surgery(P<0.05).Conclusion 3D-printed artificial vertebral body combined with PEEK-Cage implantation in anterior cervical surgery is an effective method for the treatment of OPLL,which can significantly relieve patients'pain and improve their dysfunction in a short time,with good stability and fusion effect.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To investigate the short-term efficacy of transforaminal endoscope combined with percutaneous fixation in the treatment of single-segment Brucella spondylitis with intraspinal abscess. Methods The clinical data of 14 patients with single-segment lumbar Brucella spondylitis with intraspinal abscess treated by transforaminal endoscopic decompression combined with percutaneous fixation in our hospital from March 2021 to August 2022 were retrospectively analyzed. The operation time,intraoperative blood loss,erythrocyte sedimen-tation rate(ESR) and C-reactive protein(CRP) before operation,3 days and 3 months after operation,postoperative drainage volume,post-operative bed rest time and occurrence of complications were recorded. Before operation,3 days and 3 months after operation,the visual analogue scale (VAS) was used to evaluate the pain degree of lower back and leg,the lumbar function was evaluated by Japanese Orthopaedic Association (JOA) score,Oswestry disability index (ODI)was used to evaluate the dysfunction,and the modified Macnab criteria was used to evaluate the good to excellent rate of efficacy. Results The operation time of 14 patients was 182～217 min,with an average of (197.3±18.6) minutes. The mean intraoperative blood loss was (37.8±15.5)mL;the mean drainage volume was (23.5±5.8)mL;the postoperative bed rest time was (3.5±1.4) days. ESR and CRP gradually decreased 3 days and 3 months after operation compared with those before opera-tion,with statistically significant differences(P<0.05). The VAS scores of lower back and legs,JOA scores,and ODI at each time point of follow-up after operation were significantly improved compared with those before operation,with statistically significant differences (P<0.05). After 3 months of follow-up,the good to excellent rate of efficacy was 85.7％.Conclusion The minimally invasive technique of transforaminal endoscope in the treatment of Brucella spondylitis with intraspinal abscess can conduct neuraxial root decompression,abscess removal,and local surgical area irrigation,significantly relieve the pain of lower limbs,and combined with the percutaneous fixation can significantly alleviate the low back pain and improve the function of patients. The combination of the two methods is minimally invasive,safe and effective in the treatment of Brucella spondylitis with intraspinal abscess.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective To investigate the short-term efficacy of 3D-printed artificial vertebral body combined with PEEK-Cage implantation in anterior cervical surgery for ossification of the posterior longitudinal ligament of the cervical spine(OPLL).Methods The clinical data of 15 patients with OPLL who underwent anterior cervical surgery with 3D-printed artificial vertebral body and PEEK-Cage implantation in the Fifth Department of Orthopaedics,Liaoning Provincial People's Hospital from September 2022 to June 2023 was retrospectively analyzed.The surgical time,intraoperative blood loss,postoperative drainage volume,bed rest time,hospital stay,and surgery-related complications of patients were analyzed.The Japanese Orthopaedic Association(JOA)score and visual analogue scale(VAS)score of patients were counted before surgery,3 days after surgery,1 month after surgery and 6 months after surgery.The changes of Cobb angle of fusion segment of patients were recorded before surgery,3 days after surgery,1 month after surgery and 6 months after surgery.Results All 15 patients successfully completed the surgery.The surgical time was 130 to 160 minutes,with an average of(148.68±10.04)minutes.The intraoperative blood loss was 50 to 200 mL,with an average of(130.0±18.8)mL.The postoperative drainage volume was 220 to 980 mL,with an average of(270.0±24.6)mL.The bed rest time was 3 to 11 days,with an average of(3.6±2.8)days.The hospital stay was 7 to 16 days,with an average of(8.2±2.6)days.All patients'incisions healed in the first stage,and no infection occurred.One patient suffered from dural sac tear during surgery;4 patients had dysphagia after surgery;1 patient suffered from muscle weakness of one limb after surgery;Hematoma formed in the incision of cervical spine in 1 patient 3 days after surgery.At 3 days,1 month,and 6 months after surgery,the Cobb angle,VAS score and JOA score of 3 patients with myeloid symptoms and upper limb root pain were significantly improved compared with those before surgery(P<0.05),and the Cobb angle and JOA score of 12 patients with only myeloid symptoms were significantly improved compared with those before surgery(P<0.05).Conclusion 3D-printed artificial vertebral body combined with PEEK-Cage implantation in anterior cervical surgery is an effective method for the treatment of OPLL,which can significantly relieve patients'pain and improve their dysfunction in a short time,with good stability and fusion effect.

Objective:To investigate the efficacy and safety of transurethral water vapor thermal therapy(WVTT)using the Rezūm system for benign prostatic hyperplasia(BPH)in the real world.Methods:A total of 181 patients with BPH were recruited from the Second Affiliated Hospital of Nanjing Medical University from August 2022 to December 2023,of whom 173 patients were treated with WVTT using the Rezūm system,while 8 patients were treated with WVTT combined with TURP.They were followed up at 1,3,and 6 months postoperatively to assess changes in the IPSS,QoL,Qmax,IIEF-5,and the occurrence of any complications.Results:All 181 surgeries in this group were successfully completed.The operation time of the Rezūm system was(4.6±1.4)mi-nutes.The postoperative indwelling catheterization time was(8.0±2.1)days.With a follow-up of at least 6 months,there was a significant decrease in PV,IPSS and QoL,and a remarkable increase had been found in Qmax as well(P＜0.05).There was no sig-nificant difference in IIEF-5 before and after the operation(P＞0.05).In this groups of patients,postoperative complications mainly included 95 cases(52.5％)of gross hematuria,6 cases(3.3％)of retrograde ejaculation,5 cases(2.8％)of urethral stricture,4 cases(2.2％)of prostatitis,and 10 cases(5.5％)of urinary tract infection.Four cases(2.2％)underwent surgical retreatment for BPH after surgery.Conclusion:In the real world,the use of Rezūm thermal steam ablation system for the treatment of BPH has sat-isfactory short-term effect,short surgical time,and significant improvement in IPSS,QoL,Qmax,which does not adversely affect sexu-al function.

Aim To investigate the effects of Agrimonia pilosa(AP)on the proliferation and apoptosis of non-small cell lung cancer(NSCLC)H1299 cells using non-targeted metabolomics and other methods,and to explore the underlying molecular mechanisms.Meth-ods Taking H1299 cells as the research object,the effect of AP on cell proliferation and apoptosis was de-tected through CCK-8 method,colony formation,LDH,Hoechst 33258 staining,AO/EB staining,flow cytometry detection,RT qPCR and other experiments.The main differential metabolites were detected by the metabolomics method of ultra-high phase liquid chro-matography and mass spectrometry(UHPLC-Q-Orbi-trap MS),and related metabolic pathways were ana-lyzed.Results Compared with the control group,AP treatment was able to significantly inhibit the prolifera-tion and colony formation of H1299 cells,while the re-lease of LDH increased in a dose-dependent manner.Fluorescence microscopy and flow cytometry and RT-qPCR analysis revealed that H1299 cells underwent crumpling and increased nuclear fragmentation after AP administration,blocked in G0/G1 phase,up-regulated apoptotic genes caspase-3 and Bax,and down-regulated apoptosis-inducing effects of Bcl-2.Metabolomics anal-ysis screened 35 differential metabolites,which were PC(O-30∶1),D-Glutamic acid,PE(18∶0/15∶0),etc.The main metabolic pathways involved includ-ed amino acid metabolism,glycerophospholipid metabo-lism and purine metabolism so on.Conclusions AP may exert its pharmacological effects by interfering with multiple metabolic pathways in H1299 cells,inhibiting cell proliferation and promoting apoptosis.