PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Objective To analyze the anatomical relationship between maxillary premolars and the alveolar bone and maxillary sinus using cone-beam computed tomography(CBCT),in order to provide an anatomical basis for immediate implant placement in maxillary premolars.Methods Data from 351 patients who underwent maxillary CBCT imaging at Yancheng Stomatological Hospital between January 2022 and December 2023 were collected.Measurements included the vertical distance between premolar roots and the maxillary sinus floor,intraosseous root length,angle between the tooth axis and alveolar bone axis,and buccal/palatal bone wall thickness,with comparisons of gender differences.Results The median vertical distance between single-rooted maxillary first premolars and the maxil-lary sinus floor was 10.16 mm,while that for second premolars was 4.61 mm.For double-rooted first premolars,the buccal root dis-tance was(4.13±3.99)mm and the palatal root was(5.14±3.94)mm.Maxillary first premolars were farther from the maxillary sinus floor than maxillary second premolars,with palatal roots farther than buccal roots.The intraosseous root length of maxillary first premo-lars was(9.20±1.44)mum,and maxillary second premolars(9.64±2.04)mm.Maxillary first premolars exhibited significantly shorter intraosseous root length than maxillary second premolars.The angle α between tooth axis and alveolar bone axis was 18.89°±6.33° for maxillary first premolars,and 12.65°±6.10° for maxillary second premolars,showing statistically significant differences.The buccal bone wall thickness of maxillary first premolars gradually decreased from 2 mm subcrest to the apex,while palatal bone walls of maxil-lary first premolars and both buccal/palatal walls of maxillary second premolars progressively thickened from 2 mm subcrest to the apex.Significant correlations were identified between angle α and buccopalatal bone wall thickness at mid-root and the apex:increased α cor-responded with reduced buccal wall thickness and enhanced palatal wall thickness.Conclusion The apical region of maxillary first premolars provides sufficient bone volume for primary stability in immediate implantation,though the thin buccal bone wall necessitates careful consideration of implant shape and positioning.Maxillary second premolar roots are closely adjacent to the maxillary sinus floor,requiring implant stabilization with the sinus floor cortical bone or me-siodistal walls of the extraction socket.

Objective To analyze the anatomical relationship between maxillary premolars and the alveolar bone and maxillary sinus using cone-beam computed tomography(CBCT),in order to provide an anatomical basis for immediate implant placement in maxillary premolars.Methods Data from 351 patients who underwent maxillary CBCT imaging at Yancheng Stomatological Hospital between January 2022 and December 2023 were collected.Measurements included the vertical distance between premolar roots and the maxillary sinus floor,intraosseous root length,angle between the tooth axis and alveolar bone axis,and buccal/palatal bone wall thickness,with comparisons of gender differences.Results The median vertical distance between single-rooted maxillary first premolars and the maxil-lary sinus floor was 10.16 mm,while that for second premolars was 4.61 mm.For double-rooted first premolars,the buccal root dis-tance was(4.13±3.99)mm and the palatal root was(5.14±3.94)mm.Maxillary first premolars were farther from the maxillary sinus floor than maxillary second premolars,with palatal roots farther than buccal roots.The intraosseous root length of maxillary first premo-lars was(9.20±1.44)mum,and maxillary second premolars(9.64±2.04)mm.Maxillary first premolars exhibited significantly shorter intraosseous root length than maxillary second premolars.The angle α between tooth axis and alveolar bone axis was 18.89°±6.33° for maxillary first premolars,and 12.65°±6.10° for maxillary second premolars,showing statistically significant differences.The buccal bone wall thickness of maxillary first premolars gradually decreased from 2 mm subcrest to the apex,while palatal bone walls of maxil-lary first premolars and both buccal/palatal walls of maxillary second premolars progressively thickened from 2 mm subcrest to the apex.Significant correlations were identified between angle α and buccopalatal bone wall thickness at mid-root and the apex:increased α cor-responded with reduced buccal wall thickness and enhanced palatal wall thickness.Conclusion The apical region of maxillary first premolars provides sufficient bone volume for primary stability in immediate implantation,though the thin buccal bone wall necessitates careful consideration of implant shape and positioning.Maxillary second premolar roots are closely adjacent to the maxillary sinus floor,requiring implant stabilization with the sinus floor cortical bone or me-siodistal walls of the extraction socket.

Spinal surgical site infection (SSI), especially deep SSI after internal fixation is difficult in treatment, with long course of disease and poor prognosis. At present, there are many controversies in the diagnosis and treatment of spinal SSI, with unsatisfactory overall efficacy of its diagnosis and treatment. Besides, no diagnosis and treatment guideline based on evidence-based medicine has been in existence. To this end, the Spinal Infection Group of the Orthopedic Branch of the Chinese Medical Doctor Association and the Spinal Infection Group of the Spinal Surgery Branch of the Chinese Rehabilitation Medicine Association jointly organized relevant experts to formulate Evidence-based clinical guideline for the diagnosis and treatment of surgical site infection in spinal trauma ( version 2024) based on an evidence-based approach. A total of 10 recommendations were proposed on the diagnosis and treatment of spinal SSI, so as to provide a clinical reference for the diagnosis and treatment of spinal SSI.

Sarcopenia is a syndrome associated with decreased muscle mass,decreased muscle strength,and reduced physical performance. Due to multiple factors such as tumor metabolism,systemic inflammatory response,disease progression,and reduced physical activity associated with treatment itself,the risk of sarcopenia in patients with lung cancer is higher than that of the general population. Sarcopenia is closely related to the clinical outcomes,including increased risk for mortality,and significantly impacts patients' long-term quality of life and mental health. This study systematic reviewed the risk factors for sarcopenia in patients with lung cancer,its negative effects on clinical outcomes,long-term quality of life and mental health,and the interventions for sarcopenia. Given the significant impact of sarcopenia on patients with lung cancer,it is urgent to explore a multidisciplinary intervention model to improve their survival and quality of life.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective To compare the early predictive value of different scoring systems for the severity,organ failure and complications of acute pancreatitis(AP)in elderly patients under the newly revised Atlanta criteria.Methods Patients with acute pancreatitis treated was collected.After admission,complete the computed tomography severity index(CTSI),the bedside index of severity in acute pancreatitis(BISAP),the pancreatis 3(PANC-3)and the harmlessness acute pancreatitis score(HAPS).The area under receiver operating characteristic(ROC)curve(AUC),sensitivity,specificity and Yordan's index of four scores for predicting SAP,local pancreatic complications and multiple organ failure were compared.Results The areas under the ROC curve predicted by the CTSI,BISAP,PANC-3 and HAPS scoring systems for SAP were 0.76,0.91,0.48 and 0.55;sensitivities of 75.87％,89.61％,61.18％and 78.38％;specificity of 80.29％,74.72％,67.48％and 69.69％;Yordan's index of 0.56,0.64,0.29 and 0.48,respectively.The AUC of CTSI,BISAP,PANC-3 and HAPS scoring systems for predicting local pancreatic complications were 0.94,0.82,0.59 and 0.64;sensitivity of 74.59％,68.23％,71.11％and 69.28％;specificity of 93.88％,83.01％,78.59％and 76.46％;Yordan's index were 0.68,0.51,0.50 and 0.46,respectively.The AUC of CTSI,BISAP,PANC-3 and HAPS scoring systems for predicting multiple organ failure were 0.60,0.84,0.64 and 0.80,sensitivities were 54.18％,74.82％,58.59％and 65.67％,specificity were 76.11％,77.20％,72.68％and 89.36％,Jordan's indices were 0.30,0.52,0.31 and 0.55,respectively.Conclusion BISAP score is higher than CTSI,HAPS and PANC-3 scoring system in predicting the accuracy of sap and the risk of multiple organ failure.

Spinal surgical site infection (SSI), especially deep SSI after internal fixation is difficult in treatment, with long course of disease and poor prognosis. At present, there are many controversies in the diagnosis and treatment of spinal SSI, with unsatisfactory overall efficacy of its diagnosis and treatment. Besides, no diagnosis and treatment guideline based on evidence-based medicine has been in existence. To this end, the Spinal Infection Group of the Orthopedic Branch of the Chinese Medical Doctor Association and the Spinal Infection Group of the Spinal Surgery Branch of the Chinese Rehabilitation Medicine Association jointly organized relevant experts to formulate Evidence-based clinical guideline for the diagnosis and treatment of surgical site infection in spinal trauma ( version 2024) based on an evidence-based approach. A total of 10 recommendations were proposed on the diagnosis and treatment of spinal SSI, so as to provide a clinical reference for the diagnosis and treatment of spinal SSI.

Objective: To compare the predictive efficacy of the two thrombosis risk assessment scores (Padua and IMPEDE scores) in venous thromboembolism (VTE) within 6 months in patients with newly diagnosed multiple myeloma (NDMM) in China. Methods: This study reviewed the clinical data of 421 patients with NDMM hospitalized in Beijing Jishuitan Hospital from April 2014 to February 2022. The sensitivity, specificity, accuracy, and Youden index of the two scores were calculated to quantify the thrombus risk assessment of VTE by the Padua and IMPEDE scores. The receiver operating characteristics curves of the two evaluation scores were drawn. Results: The incidence of VTE was 14.73%. The sensitivity, specificity, accuracy, and Youden index of the Padua score were 100%, 0%, 14.7%, and 0% and that of the IMPEDE score was 79%, 44%, 49.2%, and 23%, respectively. The areas under the curve of Padua and IMPEDE risk assessment scores were 0.591 and 0.722, respectively. Conclusion: IMPEDE score is suitable for predicting VTE within 6 months in patients with NDMM.
Humans ; Venous Thromboembolism/etiology* ; Multiple Myeloma/diagnosis* ; Risk Assessment ; Risk Factors ; ROC Curve ; Retrospective Studies

Background::Previous studies have demonstrated that various circular RNAs are involved in the malignant proliferation of cancers, such as liver cancer, lung cancer, breast cancer, and others. The potential role of circular RNAs in glioblastoma, however, is still uncertain. In this study, we aimed to study the potential role of hsa_circ _01844 in glioblastoma.Methods::Using reverse transcription-polymerase chain reaction (RT-PCR) method, hsa_circ_01844 expression was measured in five glioblastoma samples and five normal brain samples. To evaluate the potential function of hsa_circ_01844 in glioblastoma, hsa_circ_01844 was overexpressed in glioblastoma cell lines (U251 and U87 cells). Using these two cell lines, in vitro experiments including the flow cytometry assay, 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide assay, Transwell assay, and cell apoptosis assay were performed to investigate the role of hsa_circ_01844 in glioblastoma. Student t test and one-way analysis of variance were used for statistical analysis. Results::The expression of circular RNA hsa_circ_01844 was lower in glioblastoma tissues when compared with the normal brain tissues by RT-PCR method (0.034 ± 0.036 vs. 1.630 ± 0.891, P < 0.001). Using two glioblastoma cell lines, we found that overexpression of hsa_circ_01844 in glioblastoma cells suppressed their proliferation, colony formation, migration, and increased the apoptotic rate compared with empty vector group and blank control group (all P < 0.05). Conclusion::Hsa_circ_01844 shows decreased expression in glioblastoma and its overexpression induces apoptosis and inhibits proliferation, migration, and invasion of glioblastoma cells.