BACKGROUND:The development of artificial intelligence in the medical field is rapidly advancing,with increasing research on its applications in the field of bone trauma.Through bibliometric analysis,this paper analyzed the research hotspots of artificial intelligence in the field of bone trauma in recent years,and predicted the future research trend. OBJECTIVE:To summarize the development history,research status,hot spots,and future development trends of artificial intelligence technology in the field of bone trauma to provide new insights for future research. METHODS:This study selected relevant literature from the Web of Science core database,covering the period from the inception to August 2023,and retrieved 420 articles related to the application of artificial intelligence,machine learning,and deep learning in the field of bone trauma.After manual screening,202 articles related to this article were exported,and Citespace software was used for visual analysis of cooperation of countries,institutions,cited journals,citation analysis,keyword co-occurrence,and other aspects. RESULTS AND CONCLUSION:(1)The overall number of publications from the 202 selected articles showed an upward trend,indicating significant research potential for future studies.The country with the highest centrality and the highest publication volume was the United States.The University of California(USA)was the most prolific research institution.(2)The top five most commonly used keywords in bone trauma research using artificial intelligence were deep learning,artificial intelligence,bone density,machine learning,and diagnosis.The keyword with the highest centrality was bone density,and the keyword with the highest frequency was deep learning.(3)The top 10 most cited reference papers provided comprehensive insights into the feasibility of applying artificial intelligence techniques to the diagnosis of bone trauma from various perspectives.Among them,eight papers focused on bone and joint injuries and deep convolutional neural networks.One paper discussed the use of deep learning in detecting osteoporosis in CT scans to prevent fragility fractures,while another paper explored the correlation between the application of artificial intelligence in identifying changes in skin texture and the recognition of bone characteristics.(4)In the future,the research hotspots of artificial intelligence will mainly focus on the specific study of fractures caused by bone and joint trauma and osteoporosis.The research trend mainly focuses on improving the performance of artificial intelligence algorithms,using new artificial intelligence technologies to accurately classify and quickly and efficiently diagnose bone injuries,especially for the diagnosis of complex and hidden fractures.By establishing finite element analysis models,more standardized evaluations of bone injuries can be achieved.

Nonalcoholic steatohepatitis (NASH) is a chronic liver disease associated with metabolic syndrome, such as obesity, diabetes, and hyperlipidemia, and is a progressive form of nonalcoholic fatty liver disease with pathological features including steatosis, lobular inflammation, and hepatocyte damage (ballooning degeneration). Hepatocellular ballooning degeneration is an important pathological feature of NASH and is closely related to the prognosis of NASH patients. Accurate identification of hepatocellular ballooning degeneration is of great significance for diagnosing NASH and assessing therapeutic response. This article reviews the current status and identification methods of hepatocellular ballooning degeneration in NASH, including invasive and noninvasive.

BACKGROUND: This study aimed to investigate programmed death-ligand 1 tumor proportion score in predicting the safety and efficacy of PD-1/PD-L1 antibody-based therapy in treating patients with advanced non-small cell lung cancer (NSCLC) in a real-world setting. METHODS: This retrospective, multicenter, observational study enrolled adult patients who received PD-1/PD-L1 antibody-based therapy in China and met the following criteria: (1) had pathologically confirmed, unresectable stage III-IV NSCLC; (2) had a baseline PD-L1 tumor proportion score (TPS); and (3) had confirmed efficacy evaluation results after PD-1/PD-L1 treatment. Logistic regression, Kaplan-Meier analysis, and Cox regression were used to assess the progression-free survival (PFS), overall survival (OS), and immune-related adverse events (irAEs) as appropriate. RESULTS: A total of 409 patients, 65.0% ( n = 266) with a positive PD-L1 TPS (≥1%) and 32.8% ( n = 134) with PD-L1 TPS ≥50%, were included in this study. Cox regression confirmed that patients with a PD-L1 TPS ≥1% had significantly improved PFS (hazard ratio [HR] 0.747, 95% confidence interval [CI] 0.573-0.975, P = 0.032). A total of 160 (39.1%) patients experienced 206 irAEs, and 27 (6.6%) patients experienced 31 grade 3-5 irAEs. The organs most frequently associated with irAEs were the skin (52/409, 12.7%), thyroid (40/409, 9.8%), and lung (34/409, 8.3%). Multivariate logistic regression revealed that a PD-L1 TPS ≥1% (odds ratio [OR] 1.713, 95% CI 1.054-2.784, P = 0.030) was an independent risk factor for irAEs. Other risk factors for irAEs included pretreatment absolute lymphocyte count >2.5 × 10 9 /L (OR 3.772, 95% CI 1.377-10.329, P = 0.010) and pretreatment absolute eosinophil count >0.2 × 10 9 /L (OR 2.006, 95% CI 1.219-3.302, P = 0.006). Moreover, patients who developed irAEs demonstrated improved PFS (13.7 months vs. 8.4 months, P <0.001) and OS (28.0 months vs. 18.0 months, P = 0.007) compared with patients without irAEs. CONCLUSIONS A positive PD-L1 TPS (≥1%) was associated with improved PFS and an increased risk of irAEs in a real-world setting. The onset of irAEs was associated with improved PFS and OS in patients with advanced NSCLC receiving PD-1/PD-L1-based therapy.
Humans ; Carcinoma, Non-Small-Cell Lung/metabolism* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Lung Neoplasms/metabolism* ; Aged ; B7-H1 Antigen/metabolism* ; Programmed Cell Death 1 Receptor/metabolism* ; Adult ; Aged, 80 and over ; Immune Checkpoint Inhibitors/therapeutic use*

Objective:To compare the prognostic performance of six trauma scoring systems—Injury Severity Score (ISS), Acute Physiology and Chronic Health EvaluationⅡ (APACHE Ⅱ), Sequential Organ Failure Assessment (SOFA), Prehospital Index (PHI), Revised Trauma Score (RTS), and the Circulation, Respiration, Abdomen, Motor, Speech (CRAMS) score—in predicting 28-day mortality among patients with severe trauma in Southwest China.Methods:A retrospective cohort study was conducted involving 479 patients with severe trauma admitted to the First Affiliated Hospital of Army Medical University between January 2018 and October 2023. Inclusion criteria were: ① age ≥16 years; ② Injury Severity Score (ISS) ≥16; ③ admission within 24 hours post-injury. Exclusion criteria included: ① severe underlying chronic conditions; ② burns or electrical injuries; ③ incomplete clinical data. Based on 28-day outcomes, patients were stratified into a survival group ( n=424) and a death group ( n=55). All patients received standardized resuscitation and damage control interventions. Prehospital scores (PHI, RTS, CRAMS) were recorded at admission. In-hospital scores (ISS, APACHE Ⅱ, SOFA) were calculated using the worst physiological parameters within the first 24 hours. The Mann-Whitney U test was used for group comparisons. Discriminative ability was assessed by the area under the receiver operating characteristic curve (AUC), with pairwise comparisons using DeLong's test. Decision curve analysis (DCA) was performed to evaluate net clinical benefit. Results:The RTS and CRAMS scores were significantly higher in the survival group, whereas ISS, APACHE Ⅱ, SOFA, and PHI scores were significantly lower in the death group (all P<0.05). The AUC values for predicting 28-day mortality, in descending order, were: APACHE Ⅱ (0.917), RTS (0.897), SOFA (0.873), PHI (0.848), CRAMS (0.831), and ISS (0.708). No significant difference in AUC was found between APACHE Ⅱ and RTS ( P=0.325). DCA showed that across most decision thresholds, both APACHE Ⅱ and RTS provided greater net clinical benefit than "treat-all" or "treat-none" strategies and other scores. Conclusions:Among the six scoring systems, APACHE Ⅱ demonstrated the highest predictive accuracy for 28-day mortality in severe trauma patients, though its efficacy was comparable to RTS. DCA confirmed their superior clinical utility. A two-phase assessment strategy—using prehospital RTS for rapid triage followed by in-hospital APACHE Ⅱ for dynamic monitoring—is recommended to optimize clinical decision-making and improve patient outcomes in Southwest China.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

Objective To investigate the relationship between quantitative parameters of CT perfu-sion imaging in regions of diffusion abnormalities and disease type,severity and prognosis in eld-erly patients with acute ischemic stroke(AIS).Methods A total of 293 elderly AIS patients diag-nosed and treated in our hospital from August 2021 to August 2024 were retrospectively recruited in this study.According to the TOAST(Trial of ORG 10172 in Acute Stroke Treatment)classifi-cation,they were classified into large artery atherosclerosis(LAA)type(111 cases),cardioembo-lism(CE)type(100 cases),and small artery occlusion(SAO)type(82 cases).Based on their NIHSS score at admission,they were also divided into mild,moderate and severe stroke groups(103,90 and 100 cases,respectively).Depending on modified Rankin scale(mRS)score,they were divided into good(98 cases)and poor prognosis groups(95 cases).The relationships of quantita-tive parameters of CT perfusion imaging in regions of diffusion abnormalities(cerebral blood flow,cerebral blood volume,mean transit time and peak time)with disease type,severity and prognosis were analyzed,and ROC curve was drawn to analyze the predictive value for patient prognosis.Results There were significant differences among the patients with LAA,SAO and CE types in terms of cerebral blood flow,cerebral blood volume,mean transit time and peak time(P＜0.01).The patients of CE type had obviously lower cerebral blood flow and cerebral blood volume,and longer mean transit time and peak time than those of LAA and SAO types(P＜0.05).Pearson correlation analysis showed that NIHSS score was negatively correlated with cere-bral blood flow and cerebral blood volume(r=-0.446,P=0.012;r=-0.439,P=0.015),and positively with mean transit time and peak time(r=0.512,P=0.004;r=0.478,P=0.008).Lower cerebral blood flow and cerebral blood volume,and longer mean transit time and peak time were observed in the poor prognosis group than the good prognosis group(P＜0.01).The AUC value of cerebral blood flow,cerebral blood volume,mean transit time,and peak time in predicting prog-nosis was 0.751,0.764,0.733,and 0.724,respectively,and the value of the four indicators com-bined together was 0.902,which was better than that of each indicator alone(P＜0.05).Conclu-sion There exist significant differences in quantitative parameters of CT perfusion imaging in re-gions of diffusion abnormalities in elderly AIS patients with different TOAST types,disease se-verity and prognosis.These parameters can be used as important reference indicators in assess-ment of disease type,severity and prognosis of elderly AIS patients.

Objective To investigate the features of resting-state electroencephalography(EEG)in stroke patients with limited upper limb movement,and assess its potential utility in evaluating upper limb motor function.Methods From March to August,2024,a total of 71 stroke patients with limited upper limb movement were enrolled as stroke group at the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine;while 63 healthy participants matched for age and sex were recruited as control group.They were tested with 19-chan-nel resting-state EEG(rsEEG),calculating of the pairwise derived brain symmetry index(pdBSI)and Delta/Al-pha ratio(DAR).The motor function was assessed with Fugl-Meyer Assessment-Upper Extremities(FMA-UE),the upper limb recovery was evaluated with Brunnstrom Stages and the activities of daily living was assessed with modified Barthel index(MBI)in stroke patients,Results Compared with the control group,the pdBSI of Global lead,Frontal region,Central region and Posterior region across Delta,Alpha and Beta1 frequency bands were significantly higher in the stroke group than in the control group(|Z|>2.289,P<0.05);as well as the pdBSI of Global lead,Central region and Posterior region across The-ta bands(|Z|>3.016,P<0.01),the pdBSI of Global lead,Frontal region,Central region and Posterior region across Beta2 bands(|Z|>3.222,P<0.01),DAR of Global lead,Frontal region,Central region and Posterior re-gion(|Z|>6.565,P<0.001).In the stroke group,the pdBSI of Global lead(r=-0.280,P=0.018)and Central region(r=-0.304,P=0.010)across the Delta band were significantly negatively correlated with FMA-UE,as well as the pdBSI of Global leads(r=-0.289,P=0.014),Central region(r=-0.244,P=0.040)and Posterior region(r=-0.356,P=0.002)across the Beta1 band,and the DAR of Global lead(r=-0.431,P<0.001),Fron-tal region(r=-0.429,P<0.001),Central region(r=-0.491,P<0.001)and Posterior region(r=-0.482,P<0.001).Conclusion Asymmetry in spectral power between hemispheres in the Delta(0.5 to 4 Hz)and Beta(13 to 20 Hz)bands is found in stroke patients,especially in the central region,which correlates with upper limb function limitations.pdBSI Delta,pdBSI Beta1 and DAR are potential neuroelectrophysiological markers for assessing upper limb motor function in stroke patients.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

Objective To investigate the relationship between quantitative parameters of CT perfu-sion imaging in regions of diffusion abnormalities and disease type,severity and prognosis in eld-erly patients with acute ischemic stroke(AIS).Methods A total of 293 elderly AIS patients diag-nosed and treated in our hospital from August 2021 to August 2024 were retrospectively recruited in this study.According to the TOAST(Trial of ORG 10172 in Acute Stroke Treatment)classifi-cation,they were classified into large artery atherosclerosis(LAA)type(111 cases),cardioembo-lism(CE)type(100 cases),and small artery occlusion(SAO)type(82 cases).Based on their NIHSS score at admission,they were also divided into mild,moderate and severe stroke groups(103,90 and 100 cases,respectively).Depending on modified Rankin scale(mRS)score,they were divided into good(98 cases)and poor prognosis groups(95 cases).The relationships of quantita-tive parameters of CT perfusion imaging in regions of diffusion abnormalities(cerebral blood flow,cerebral blood volume,mean transit time and peak time)with disease type,severity and prognosis were analyzed,and ROC curve was drawn to analyze the predictive value for patient prognosis.Results There were significant differences among the patients with LAA,SAO and CE types in terms of cerebral blood flow,cerebral blood volume,mean transit time and peak time(P＜0.01).The patients of CE type had obviously lower cerebral blood flow and cerebral blood volume,and longer mean transit time and peak time than those of LAA and SAO types(P＜0.05).Pearson correlation analysis showed that NIHSS score was negatively correlated with cere-bral blood flow and cerebral blood volume(r=-0.446,P=0.012;r=-0.439,P=0.015),and positively with mean transit time and peak time(r=0.512,P=0.004;r=0.478,P=0.008).Lower cerebral blood flow and cerebral blood volume,and longer mean transit time and peak time were observed in the poor prognosis group than the good prognosis group(P＜0.01).The AUC value of cerebral blood flow,cerebral blood volume,mean transit time,and peak time in predicting prog-nosis was 0.751,0.764,0.733,and 0.724,respectively,and the value of the four indicators com-bined together was 0.902,which was better than that of each indicator alone(P＜0.05).Conclu-sion There exist significant differences in quantitative parameters of CT perfusion imaging in re-gions of diffusion abnormalities in elderly AIS patients with different TOAST types,disease se-verity and prognosis.These parameters can be used as important reference indicators in assess-ment of disease type,severity and prognosis of elderly AIS patients.

Objective To investigate the features of resting-state electroencephalography(EEG)in stroke patients with limited upper limb movement,and assess its potential utility in evaluating upper limb motor function.Methods From March to August,2024,a total of 71 stroke patients with limited upper limb movement were enrolled as stroke group at the Rehabilitation Hospital Affiliated to Fujian University of Traditional Chinese Medicine;while 63 healthy participants matched for age and sex were recruited as control group.They were tested with 19-chan-nel resting-state EEG(rsEEG),calculating of the pairwise derived brain symmetry index(pdBSI)and Delta/Al-pha ratio(DAR).The motor function was assessed with Fugl-Meyer Assessment-Upper Extremities(FMA-UE),the upper limb recovery was evaluated with Brunnstrom Stages and the activities of daily living was assessed with modified Barthel index(MBI)in stroke patients,Results Compared with the control group,the pdBSI of Global lead,Frontal region,Central region and Posterior region across Delta,Alpha and Beta1 frequency bands were significantly higher in the stroke group than in the control group(|Z|>2.289,P<0.05);as well as the pdBSI of Global lead,Central region and Posterior region across The-ta bands(|Z|>3.016,P<0.01),the pdBSI of Global lead,Frontal region,Central region and Posterior region across Beta2 bands(|Z|>3.222,P<0.01),DAR of Global lead,Frontal region,Central region and Posterior re-gion(|Z|>6.565,P<0.001).In the stroke group,the pdBSI of Global lead(r=-0.280,P=0.018)and Central region(r=-0.304,P=0.010)across the Delta band were significantly negatively correlated with FMA-UE,as well as the pdBSI of Global leads(r=-0.289,P=0.014),Central region(r=-0.244,P=0.040)and Posterior region(r=-0.356,P=0.002)across the Beta1 band,and the DAR of Global lead(r=-0.431,P<0.001),Fron-tal region(r=-0.429,P<0.001),Central region(r=-0.491,P<0.001)and Posterior region(r=-0.482,P<0.001).Conclusion Asymmetry in spectral power between hemispheres in the Delta(0.5 to 4 Hz)and Beta(13 to 20 Hz)bands is found in stroke patients,especially in the central region,which correlates with upper limb function limitations.pdBSI Delta,pdBSI Beta1 and DAR are potential neuroelectrophysiological markers for assessing upper limb motor function in stroke patients.