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.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective:To explore the optimal duration of preoperative imatinib therapy in patients with locally advanced gastrointestinal stromal tumors (GIST) in order to optimize surgical timing and long-term survival benefits.Methods:A total of 171 patients with locally advanced GIST who received preoperative imatinib therapy and subsequent surgical resection between November 2012 and October 2024 at Fujian Cancer Hospital and Union Hospital of Fujian Medical University were retrospectively analyzed. Patients were divided into three groups according to the duration of preoperative imatinib treatment: short-term (≤6 months, n=50), intermediate-term (7-12 months, n=87), and long-term (>12 months, n=34). Imaging response, pathological efficacy, recurrence-free survival (RFS), and overall survival (OS) were compared among the groups. Univariate and multivariate Cox regression analyses were used to identify the optimal treatment duration. Results:The median duration of preoperative imatinib therapy was 9 (6, 12) months. After treatment, the average maximum tumor diameter decreased from (10.37±5.74) cm to (6.99±4.34) cm, with an average shrinkage of 31.5%. The objective response rates in the short-, intermediate-, and long-term groups were 50.0% (25/50), 58.6% (51/87), and 52.9% (18/34), respectively; high-grade pathological response rates were 28.0% (14/50), 37.9% (33/87), and 29.4% (10/34), with no statistically significant differences among groups (all P>0.05). With a median follow-up of 46 months, 39 patients experienced recurrence and 20 died. The intermediate-term group had 3- and 5-year RFS rates of 87.1% and 79.6%, respectively, significantly better than those of the short-term group (75.5% and 55.5%, P=0.004). The long-term group had 3- and 5-year RFS rates of 85.3% and 75.5%, which were between the other two groups, but not significantly different (all P>0.05). For OS, the intermediate-term group had 3- and 5-year rates of 97.3% and 92.7%, superior to the short-term group (84.4% and 72.4%, P=0.007), while the long-term group (88.2% and 79.4%) showed no significant advantage (all P>0.05). Stratified analysis revealed that among non-gastric primary tumor patients with c-Kit exon 11 mutations, partial response on imaging, or postoperative imatinib ≤24 months, the intermediate-term group had significantly better RFS and OS than the short-term group (all P<0.05), but had no differences compared to the long-term group ( P>0.05). Multivariate Cox regression analysis indicated that preoperative imatinib duration was not an independent factor for RFS ( P>0.05), but treatment for 7-12 months was an independent protective factor for OS ( HR=0.275, 95% CI: 0.089-0.851, P=0.025), while prolonging therapy beyond 12 months conferred no additional OS benefit ( P>0.05). Conclusions:In patients with locally advanced GIST, preoperative imatinib therapy for 7-12 months yielded the most favorable prognosis, with significantly improved RFS and OS compared to ≤6 months of treatment. Extending preoperative therapy beyond 12 months did not provide additional survival benefit.

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 observe the clinical efficacy on ultrasound-guided ilioinguinal transversus abdominis plane(I-TAP)block in elderly parturients undergoing general anesthesia for cesarean section.Methods:90 elderly parturients who underwent general anesthesia for cesarean section surgery in Xiaoshan District First People's Hospital of Hangzhou from January 2023 to December 2023 were selected,they were divided into control group(general anesthesia only),TAP block group,and I-TAP block group according to random number table method,with 30 cases in each group.Hemodynamics[heart rate(HR),mean arterial pressure(MAP)],visual analogue score(VAS),ramsay scale score,umbilical artery blood gas index[power of hydrogen(pH),partial pressure of oxygen(PO2),partial pressure of carbon dioxide(PCO2)],neonatal behavioral neural score(NBNA)among the three groups were compared.Results:HR and MAP in I-TAP block group and TAP block group were lower than those in control group at 1min after block(T1)～exit room(T4)time points,and I-TAP block group was lower than that in the TAP block group(P＜0.05).The VAS scores in I-TAP group and TAP group were lower than those in the control group at 12 h and 24 h after surgery,and the I-TAP group was lower than that in the TAP group(P＜0.05).Ramsay scale score in I-TAP group and TAP group were higher than those in control group at 12 h and 24 h after surgery,and the I-TAP group was higher than that in the TAP group(P＜0.05).There was no difference in pH,PCO2 and PO2 among the three groups(P＞0.05).There was no difference in the NBNA scores at the 3 d,14 d and 28 d after birth among the three groups(P＞0.05).Conclusion:Ultrasound-guided I-TAP block applied in elderly parturients undergoing general anesthesia for cesarean section,which can play good sedative and analgesic effect,maintain the hemodynamic stability of the body,and have good safety.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective:To observe the clinical efficacy on ultrasound-guided ilioinguinal transversus abdominis plane(I-TAP)block in elderly parturients undergoing general anesthesia for cesarean section.Methods:90 elderly parturients who underwent general anesthesia for cesarean section surgery in Xiaoshan District First People's Hospital of Hangzhou from January 2023 to December 2023 were selected,they were divided into control group(general anesthesia only),TAP block group,and I-TAP block group according to random number table method,with 30 cases in each group.Hemodynamics[heart rate(HR),mean arterial pressure(MAP)],visual analogue score(VAS),ramsay scale score,umbilical artery blood gas index[power of hydrogen(pH),partial pressure of oxygen(PO2),partial pressure of carbon dioxide(PCO2)],neonatal behavioral neural score(NBNA)among the three groups were compared.Results:HR and MAP in I-TAP block group and TAP block group were lower than those in control group at 1min after block(T1)～exit room(T4)time points,and I-TAP block group was lower than that in the TAP block group(P＜0.05).The VAS scores in I-TAP group and TAP group were lower than those in the control group at 12 h and 24 h after surgery,and the I-TAP group was lower than that in the TAP group(P＜0.05).Ramsay scale score in I-TAP group and TAP group were higher than those in control group at 12 h and 24 h after surgery,and the I-TAP group was higher than that in the TAP group(P＜0.05).There was no difference in pH,PCO2 and PO2 among the three groups(P＞0.05).There was no difference in the NBNA scores at the 3 d,14 d and 28 d after birth among the three groups(P＞0.05).Conclusion:Ultrasound-guided I-TAP block applied in elderly parturients undergoing general anesthesia for cesarean section,which can play good sedative and analgesic effect,maintain the hemodynamic stability of the body,and have good safety.

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 explore the optimal duration of preoperative imatinib therapy in patients with locally advanced gastrointestinal stromal tumors (GIST) in order to optimize surgical timing and long-term survival benefits.Methods:A total of 171 patients with locally advanced GIST who received preoperative imatinib therapy and subsequent surgical resection between November 2012 and October 2024 at Fujian Cancer Hospital and Union Hospital of Fujian Medical University were retrospectively analyzed. Patients were divided into three groups according to the duration of preoperative imatinib treatment: short-term (≤6 months, n=50), intermediate-term (7-12 months, n=87), and long-term (>12 months, n=34). Imaging response, pathological efficacy, recurrence-free survival (RFS), and overall survival (OS) were compared among the groups. Univariate and multivariate Cox regression analyses were used to identify the optimal treatment duration. Results:The median duration of preoperative imatinib therapy was 9 (6, 12) months. After treatment, the average maximum tumor diameter decreased from (10.37±5.74) cm to (6.99±4.34) cm, with an average shrinkage of 31.5%. The objective response rates in the short-, intermediate-, and long-term groups were 50.0% (25/50), 58.6% (51/87), and 52.9% (18/34), respectively; high-grade pathological response rates were 28.0% (14/50), 37.9% (33/87), and 29.4% (10/34), with no statistically significant differences among groups (all P>0.05). With a median follow-up of 46 months, 39 patients experienced recurrence and 20 died. The intermediate-term group had 3- and 5-year RFS rates of 87.1% and 79.6%, respectively, significantly better than those of the short-term group (75.5% and 55.5%, P=0.004). The long-term group had 3- and 5-year RFS rates of 85.3% and 75.5%, which were between the other two groups, but not significantly different (all P>0.05). For OS, the intermediate-term group had 3- and 5-year rates of 97.3% and 92.7%, superior to the short-term group (84.4% and 72.4%, P=0.007), while the long-term group (88.2% and 79.4%) showed no significant advantage (all P>0.05). Stratified analysis revealed that among non-gastric primary tumor patients with c-Kit exon 11 mutations, partial response on imaging, or postoperative imatinib ≤24 months, the intermediate-term group had significantly better RFS and OS than the short-term group (all P<0.05), but had no differences compared to the long-term group ( P>0.05). Multivariate Cox regression analysis indicated that preoperative imatinib duration was not an independent factor for RFS ( P>0.05), but treatment for 7-12 months was an independent protective factor for OS ( HR=0.275, 95% CI: 0.089-0.851, P=0.025), while prolonging therapy beyond 12 months conferred no additional OS benefit ( P>0.05). Conclusions:In patients with locally advanced GIST, preoperative imatinib therapy for 7-12 months yielded the most favorable prognosis, with significantly improved RFS and OS compared to ≤6 months of treatment. Extending preoperative therapy beyond 12 months did not provide additional survival benefit.