Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Objective:To develop a predictive model for the risk of post-traumatic hydrocephalus (PTH) in patients with severe traumatic brain injury (sTBI) and validate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 580 sTBI patients admitted to the 904th Hospital of the Joint Logistics Support Force of the PLA between January 2016 and December 2023, including 413 males and 167 females, aged 18-88 years [(54.3±14.6)years]. Patients were stratified into PTH group ( n=195) and non-PTH group ( n=385), based on the presence of PTH within 6 months after injury. Data collected from the two groups such as general baseline indicators, TBI-related clinical indicators (including surgical data), laboratory findings, and radiological features. Except for the data collected during the operation, all the above data are the results of the first examination at admission. Univariate analysis and Lasso regression analysis were used to screen predictors for the risk of PTH in sTBI patients. Subsequent multivariate Logistic regression was employed to identify predictors and construct a regression equation. Based on this equation, a nomogram prediction model was developed using the R language. Model discrimination was estimated through the receiver operating characteristic (ROC) curve, and calibration performance via the Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curve. Moreover, decision curve analysis (DCA) and clinical impact curve (CIC) were used for evaluating the clinical utility of the model. Results:Univariate analysis revealed statistically significant differences in 37 variables between the two groups, including age, age group, heart rate, oxygen saturation, Glasgow coma scale (GCS) score, left pupil size, right pupil size, pupillary light reflex, intracranial pressure (ICP) monitoring, type of decompressive craniectomy, neutrophil count, lymphocyte count, monocyte count, red blood cell count, platelet count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil-lymphocyte-platelet ratio (N/LP), lymphocyte-to-monocyte ratio (LMR), systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), fibrinogen (FIB), D-dimer, D-dimer-to-fibrinogen ratio (DFR), serum albumin, prognostic nutritional index, blood glucose, status of basal cisterns, midline shift, degree of midline shift, cerebral herniation, epidural hematoma (EDH), subdural hematoma (SDH), intraventricular hemorrhage (IVH), subarachnoid hemorrhage (SAH), modified Fisher grade, and skull fracture ( P<0.05). Lasso regression analysis identified 24 potential predictors for PTH, including age, GCS score, pupillary light reflex, type of decompressive craniectomy, monocyte count, platelet count, NLR, PLR, N/LP, LMR, SII, D-dimer, DFR, serum albumin, prognostic nutritional index, blood glucose, status of basal cisterns, degree of midline shift, cerebral herniation, EDH, SDH, IVH, modified Fisher grade and skull fracture. Multivariate Logistic regression analysis demonstrated that age, unilateral pupillary light reflex, absent pupillary light reflex, bilateral decompressive craniectomy, monocyte count, PLR, cerebral herniation, SDH, IVH, linear skull fracture and depressed skull fracture were independent risk factors for PTH. In contrast, serum albumin was identified as an independent protective factor for PTH ( P<0.05). The regression equation derived from these factors was: Logit[ P/(1- P)]=0.05×"age"+1.65×"unilateral pupillary light reflex"+2.79×"absent pupillary light reflex"+1.60×"bilateral decompressive craniectomy"+1.90×"monocyte count"+0.02×"PLR"-0.12×"serum albumin"+2.07×"cerebral herniation"+2.59×"SDH"+2.23×"IVH"+1.24×"linear skull fracture"+ 1.66×"depressed skull fracture"-22.61. The prediction model built upon this equation achieved an area under the ROC curve (AUC) of 0.95(95% CI 0.93, 0.97), with a sensitivity of 91.79%, specificity of 85.97%, and Youden′s index of 0.78. The H-L goodness-of-fit test indicated good calibration ( χ2=7.90, P=0.545). DCA results showed that the bias-corrected curve closely aligned with the actual curve and approximated the ideal curve, indicating a high clinical net benefit. Furthermore, CIC results demonstrated that with threshold probabilities greater than 60%, the number of patients identified as high-risk by the model highly corresponded with the actual number of patients who developed PTH. Conclusion:The prediction model incorporating age, unilateral pupillary light reflex, absent pupillary light reflex, bilateral decompressive craniectomy, monocyte count, PLR, serum albumin, cerebral herniation, SDH, IVH, linear skull fracture and depressed skull fracture exhibits robust predictive performance for PTH in sTBI patients.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

Objective:To develop a predictive model for the risk of post-traumatic hydrocephalus (PTH) in patients with severe traumatic brain injury (sTBI) and validate its predictive performance.Methods:A retrospective case control study was conducted to analyze the clinical data of 580 sTBI patients admitted to the 904th Hospital of the Joint Logistics Support Force of the PLA between January 2016 and December 2023, including 413 males and 167 females, aged 18-88 years [(54.3±14.6)years]. Patients were stratified into PTH group ( n=195) and non-PTH group ( n=385), based on the presence of PTH within 6 months after injury. Data collected from the two groups such as general baseline indicators, TBI-related clinical indicators (including surgical data), laboratory findings, and radiological features. Except for the data collected during the operation, all the above data are the results of the first examination at admission. Univariate analysis and Lasso regression analysis were used to screen predictors for the risk of PTH in sTBI patients. Subsequent multivariate Logistic regression was employed to identify predictors and construct a regression equation. Based on this equation, a nomogram prediction model was developed using the R language. Model discrimination was estimated through the receiver operating characteristic (ROC) curve, and calibration performance via the Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curve. Moreover, decision curve analysis (DCA) and clinical impact curve (CIC) were used for evaluating the clinical utility of the model. Results:Univariate analysis revealed statistically significant differences in 37 variables between the two groups, including age, age group, heart rate, oxygen saturation, Glasgow coma scale (GCS) score, left pupil size, right pupil size, pupillary light reflex, intracranial pressure (ICP) monitoring, type of decompressive craniectomy, neutrophil count, lymphocyte count, monocyte count, red blood cell count, platelet count, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil-lymphocyte-platelet ratio (N/LP), lymphocyte-to-monocyte ratio (LMR), systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), fibrinogen (FIB), D-dimer, D-dimer-to-fibrinogen ratio (DFR), serum albumin, prognostic nutritional index, blood glucose, status of basal cisterns, midline shift, degree of midline shift, cerebral herniation, epidural hematoma (EDH), subdural hematoma (SDH), intraventricular hemorrhage (IVH), subarachnoid hemorrhage (SAH), modified Fisher grade, and skull fracture ( P<0.05). Lasso regression analysis identified 24 potential predictors for PTH, including age, GCS score, pupillary light reflex, type of decompressive craniectomy, monocyte count, platelet count, NLR, PLR, N/LP, LMR, SII, D-dimer, DFR, serum albumin, prognostic nutritional index, blood glucose, status of basal cisterns, degree of midline shift, cerebral herniation, EDH, SDH, IVH, modified Fisher grade and skull fracture. Multivariate Logistic regression analysis demonstrated that age, unilateral pupillary light reflex, absent pupillary light reflex, bilateral decompressive craniectomy, monocyte count, PLR, cerebral herniation, SDH, IVH, linear skull fracture and depressed skull fracture were independent risk factors for PTH. In contrast, serum albumin was identified as an independent protective factor for PTH ( P<0.05). The regression equation derived from these factors was: Logit[ P/(1- P)]=0.05×"age"+1.65×"unilateral pupillary light reflex"+2.79×"absent pupillary light reflex"+1.60×"bilateral decompressive craniectomy"+1.90×"monocyte count"+0.02×"PLR"-0.12×"serum albumin"+2.07×"cerebral herniation"+2.59×"SDH"+2.23×"IVH"+1.24×"linear skull fracture"+ 1.66×"depressed skull fracture"-22.61. The prediction model built upon this equation achieved an area under the ROC curve (AUC) of 0.95(95% CI 0.93, 0.97), with a sensitivity of 91.79%, specificity of 85.97%, and Youden′s index of 0.78. The H-L goodness-of-fit test indicated good calibration ( χ2=7.90, P=0.545). DCA results showed that the bias-corrected curve closely aligned with the actual curve and approximated the ideal curve, indicating a high clinical net benefit. Furthermore, CIC results demonstrated that with threshold probabilities greater than 60%, the number of patients identified as high-risk by the model highly corresponded with the actual number of patients who developed PTH. Conclusion:The prediction model incorporating age, unilateral pupillary light reflex, absent pupillary light reflex, bilateral decompressive craniectomy, monocyte count, PLR, serum albumin, cerebral herniation, SDH, IVH, linear skull fracture and depressed skull fracture exhibits robust predictive performance for PTH in sTBI patients.

The incidence of intracranial aneurysms is higher in population, and the death and disability rates after rupture are extremely high. Early detection of intracranial aneurysms, prediction of rupture risk, operation program, and evaluation of treatment outcomes are all the clinical concerns. With the continuously deepening integration of artificial intelligence technology and medicine, its application in the diagnosis and treatment of intracranial aneurysms is becoming increasingly widespread. This article reviews the current application status of artificial intelligence technology in the diagnosis and treatment of intracranial aneurysms.

Objective To investigate the clinical application value of predicting the severity of acute pancreatitis(AP)based on MRI-T2WI radiomics nomogram.Methods A total of 375 patients with AP were analyzed retrospectively,who were divided into 281 cases in the training group and 94 cases in the validation group according to the ratio of 3∶1.Based on MRI-T2WI image,man-ual segmentation was performed for the pancreatic parenchyma.The radiomics feature were selected by feature extraction and dimen-sionality reduction,the support vector machine(SVM)classifier were used to construct the radiomics model.Logistic regression analysis was used to screen out independent risk factors,and an radiomics nomogram model was constructed in combined with the Radiomics score(Radscore),and the predictive performances of the models were evaluated.Results Receiver operating characteristic(ROC)curve analysis showed that the predictive efficacy of radiomics nomogram model[training group,area under the curve(AUC)=0.893;val-idation group,AUC=0.889]was higher than that of clinical model(training group,AUC=0.799;validation group,AUC=0.809)and radiomics model(training group,AUC=0.814;validation group,AUC=0.823).Conclusion The radiomics nomogram based on MRI-T2WI radiomics features and independent risk factors has high clinical application value for the prediction of AP severity.

So far, the endovascular treatment of intracranial aneurysms has gone through three stages: coil embolization, stent-assisted coil embolization, and placement of flow diverter, which significantly increases the occlusion rate of intracranial aneurysms. Its safety and effectiveness have also been confirmed by many large-scale studies. However, for wide-neck bifurcation aneurysms, there are still issues of difficult treatment and poor treatment outcome. The emergence of intratumoral turbulence devices has provided a new treatment option for wide-neck bifurcation aneurysms and has achieved good short- and mid-term treatment effects. This article reviews the application of the Woven EndoBridge intratumoral turbulence device in intracranial wide-neck bifurcation aneurysms.

Objective:To investigate the efficacy and safety of Tubridge flow diverter (TFD) in the treatment of unruptured intracranial aneurysms (UIAs).Methods:The clinical data of patients with UIAs treated with TFD in the Department of Neurosurgery, Linyi People's Hospital from July 2021 to July 2023 were retrospectively analyzed. The modified Rankin Scale (mRS) was used to evaluate functional outcomes during postoperative follow-up. Digital subtraction angiography (DSA) follow-up was performed at least 3 months after procedure, and the occlusion degree of the aneurysm was assessed with the O'Kelly-Marotta (OKM) grading system.Results:A total of 52 patients (71 aneurysms) were included and 54 TFDs were successfully implanted. Forty-one patients (78.8%) were treated with TFD alone, while 11 (21.2%) were treated with TFD combined with coil embolization. One patient experienced in-stent thrombosis during the procedure, and the symptoms disappeared after medical treatment. Postoperative hemorrhage and ischemic complications occurred in each 2 cases, respectively. No patient died during the follow-up period. DSA follow-up was performed on a total of 45 aneurysms in 34 patients. The followed-up time was 8.3±3.1 months (range, 3-15 months), including 2 OKM grade A (4.4%), 11 grade B (24.4%), 1 grade C (2.2%), and 31 grade D (68.9%). At the last follow-up, 51 patients had good outcomes (mRS score 0-2), and 1 patient had poor outcome (mRS score 4).Conclusion:TFD for UIAs has a high complete occlusion rate and a low complication rate.

Objective:To explore the application value of ventricular intracranial pressure monitoring (V-ICPM) in the treatment of unilateral temporal lobe cerebral contusion.Methods:A retrospective cohort study was conducted to analyze the clinical data of 295 patients with unilateral temporal lobe cerebral contusion admitted to 904th Hospital of PLA Joint Support Force from January 2014 to August 2021, including 172 males and 123 females; aged 14-78 years [(46.3±14.7)years]. V-ICPM was used in 136 patients (V-ICPM group), who received surgical or non-surgical treatment according to the monitoring, while not in 159 patients (non-V-ICPM group), who received routine surgery or non-surgical treatment. The two groups were compared in terms of the rates of intracranial hematoma clearance by craniotomy, decompressive craniectomy (DC) and dehydration and osmotic therapy during hospitalization, use time of 20% mass fraction of mannitol and 30 g/L hypertonic salt, displacement rate of brain midline structure of head CT≥10 mm after discharge, rate of intracranial infection, hydrocephalus and epilepsy, and Glasgow Outcome Scale (GOS) at 6 months after discharge.Results:All patients were followed up for 6-12 months [(8.9±2.1)months]. During hospitalization, the rate of intracranial hematoma clearance by craniotomy and the rate of DC in V-ICPM group were 35.3% (48/136) and 8.1% (11/136), lower than 47.2% (75/159) and 22.0% (35/159) in non-V-ICPM group ( P<0.05 or 0.01). There was no significant difference between the two groups in the rate of dehydration and osmotic therapy or the use time of mannitol (all P>0.05). The use time of hypertonic salt in V-ICPM group was (7.2±2.5)days, more than (4.1±1.8)days in non-V-ICPM group ( P<0.05). After discharge, the displacement rate of brain midline structure of head CT in V-ICPM group was 29.4% (40/136), lower than 42.8% (68/159) in non-V-ICPM group ( P<0.05). There was no significant difference between the two groups in the rate of intracranial infection, hydrocephalus and epilepsy (all P>0.05). Six months after discharge, the good rate of GOS in V-ICPM group was 91.2% (124/136), significantly better than 81.8% (130/159) in non-V-ICPM group ( P<0.05). Conclusion:For unilateral temporal lobe cerebral contusion, V-ICPM is associated with reduced rate of craniotomy exploration and DC, decreased incidence of complications and improved prognosis of the patients in spite of longer use time of hypertonic salt.

The condition of patients with severe traumatic brain injury (sTBI) complicated by corona virus 2019 disease (COVID-19) is complex. sTBI can significantly increase the probability of COVID-19 developing into severe or critical stage, while COVID-19 can also increase the surgical risk of sTBI and the severity of postoperative lung lesions. There are many contradictions in the treatment process, which brings difficulties to the clinical treatment of such patients. Up to now, there are few clinical studies and therapeutic norms relevant to sTBI complicated by COVID-19. In order to standardize the clinical treatment of such patients, Critical Care Medicine Branch of China International Exchange and Promotive Association for Medical and Healthcare and Editorial Board of Chinese Journal of Trauma organized relevant experts to formulate the Chinese expert consensus on clinical treatment of adult patients with severe traumatic brain injury complicated by corona virus infection 2019 ( version 2023) based on the joint prevention and control mechanism scheme of the State Council and domestic and foreign literatures on sTBI and COVID-19 in the past 3 years of the international epidemic. Fifteen recommendations focused on emergency treatment, emergency surgery and comprehensive management were put forward to provide a guidance for the diagnosis and treatment of sTBI complicated by COVID-19.