OBJECTIVES: Oblique lateral interbody fusion (OLIF) has become a well-established treatment for lumbar spinal stenosis (LSS) due to its advantages of being minimally invasive, effective, and associated with fewer complications. However, relying solely on lateral fixation provides limited strength and uneven load distribution. Conventional posterior bilateral fixation after OLIF typically requires intraoperative repositioning, increases fluoroscopy frequency, and involves extensive dissection of posterior muscles and soft tissues, resulting in greater trauma, blood loss, and risks of dural tear, nerve root injury, and persistent postoperative low back pain. This study aims to compare the clinical efficacy of robot-assisted single-position OLIF with lateral plating and posterior unilateral fixation, OLIF with lateral fixation alone, and OLIF combined with posterior bilateral fixation for treating single-segment LSS, and to explore how to enhance fixation stability, reduce trauma, and achieve precise minimally invasive outcomes without changing patient positioning. METHODS: A retrospective analysis was conducted on the clinical data from patients treated for single-segment LSS between January 2020 and June 2023 at the First Affiliated Hospital of Kunming Medical University. Patients were divided into 3 groups: Robot group (robot-assisted single-position OLIF with lateral plate and posterior unilateral fixation, 33 cases), lateral group (OLIF with lateral fixation alone, 52 cases), and combined group (OLIF with posterior bilateral fixation, 45 cases). Surgical time, intraoperative blood loss, fluoroscopy frequency, hospital stay, pedicle screw placement accuracy, and complication rates were recorded. Pain visual analogue scale (VAS) scores and Oswestry disability index (ODI) scores were assessed preoperatively, postoperatively, and at the final follow-up. Radiological evaluations (X-ray, computed tomography, and magnetic resonance imaging) measured interbody disc height (IDH), intervertebral foraminal height (IFH), and cross-sectional area (CSA) of the dural sac. Differences between pre- and postoperative imaging indices were statistically analyzed, and complication rates, fusion rates, and cage subsidence rates were recorded. RESULTS: All patients exhibited good positioning of internal fixation devices and cages, with significant symptom relief and no cases of spinal cord injury or symptom worsening. The follow-up time was (15.2±3.6) months. The operation time of the robot group was (70.62±8.99) min, which was longer than that of the lateral group (45.90±6.09) min and shorter than that of the combined group (110.12±8.44) min. The intraoperative blood loss of the robot group was (44.27±6.87) mL, which was more than that of the lateral group (33.58±9.73) mL and less than that of the combined group (79.19±10.35) mL. The number of intraoperative fluoroscopy times of the robot group was (9.49±2.25), which was comparable to that of the lateral group (7.45±2.02) but less than that of the combined group (12.24±4.25). The hospital stay of the robot group was (9.28±2.10) days, which was longer than that of the lateral group (7.95±1.91) days and shorter than that of the combined group (12.49±5.07) days. The screw placement accuracy of the robot group was 98.48%, which was higher than that of the combined group (90.55%). Postoperative and final follow-up VAS and ODI scores were significantly lower than preoperative scores in all 3 groups (all P<0.05), and there were no significant differences in preoperative VAS and ODI scores among the groups (all P>0.05). Radiologically, IDH, IFH, and CSA at the surgical segment were significantly increased postoperatively and at final follow-up compared to preoperatively and at final follow-up compared to preoperative values (all P<0.05), with no significant differences among the groups postoperatively (all P>0.05). Internal fixation remained stable during the follow-up period, and all cages achieved fusion at final follow-up. The intervertebral fusion rate of the robot-assisted group was 93.40%, which was similar to that of the combined group (95.56%) and higher than that of the lateral approach group (90.34%). The complication rate of the robot-assisted group was 6.1%, which was comparable to that of the combined group (8.9%) and lower than that of the lateral approach group (15.4%) (P<0.05). No cases of fixation loosening or breakage were observed throughout the follow-up period. CONCLUSIONS Robot-assisted single-position OLIF with lateral plate combined with posterior unilateral fixation effectively achieves indirect decompression and excellent spinal stability without the need for intraoperative repositioning. It provides high pedicle screw accuracy, reduces intraoperative blood loss, fluoroscopy times, and complication rates, offering a fully minimally invasive new treatment option for single-segment LSS.
Humans ; Spinal Stenosis/surgery* ; Robotic Surgical Procedures/methods* ; Lumbar Vertebrae/surgery* ; Spinal Fusion/instrumentation* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Treatment Outcome ; Bone Plates ; Minimally Invasive Surgical Procedures/methods* ; Adult

Objective To explore the value of pulmonary perfusion SPECT/CT imaging for diagnosing pulmonary embolism(PE)and combining with clinical and laboratory indicators for predicting prognosis.Methods Totally 260 patients with suspected PE were retrospectively collected,and PE was clinically confirmed in 237 cases.The diagnostic efficacy of pulmonary perfusion SPECT/CT imaging and CT pulmonary angiography(CTPA)were compared.Among 237 patients with clinically confirmed PE,160 cases were initially diagnosed who underwent standard anticoagulant therapy and were regularly followed up to 3 months after discharge,and their prognosis were analyzed.Logistic regression was used to analyze clinical data,laboratory indicators and pulmonary perfusion defect scores based on pulmonary perfusion SPECT/CT imaging to screen the independent predictors of poor prognosis of PE of the above patients,and a prediction model was then constructed.Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of this model for predicting prognosis of PE.Results The positive rate of PE diagnosed with pulmonary perfusion SPECT/CT was higher than that with CTPA(66.54％[173/260]vs.59.62％[155/260],x2=4.765,P=0.038).Among 160 cases of clinically confirmed PE,poor prognosis was observed in 51 cases,while good prognosis was noticed in 109 cases.Patients' age,blood urea nitrogen,serum creatinine,uric acid,D-dimer level and pulmonary perfusion defect score were all independent predictors for poor prognosis of PE(all P＜0.05),and AUC of the established combined model was 0.731.Conclusion Pulmonary perfusion SPECT/CT imaging could be used for diagnosing PE,and combining with clinical and laboratory indicators could effectively predict prognosis of PE.

Head and neck squamous cell carcinoma(HNSCC)progression is closely associated with chronic inflammation mediated by the NLRP3 inflammasome within the tumor microenvironment(TME).The NLRP3 inflammasome integrates pathogen-associated and stress-in-duced signals to dynamically regulate IL-1β/IL-18 secretion and pyroptosis.Through its action,NLRP3 inflammasome exhibits a functional du-ality,exerting tumor-suppressive effects by activating the Caspase-1/GSDMD pathway to induce tumor cell pyroptosis while also driving ma-lignant progression through remodeling of immunosuppressive TMEs.This remodeling includes driving M2-type macrophage polarization and suppressing NETs-associated pyroptosis,thereby promoting cancer stem cell maintenance and contributing to chemotherapy resistance.Preclinical studies have confirmed that NLRP3-targeted strategies,including small-molecule inhibitors(MCC950 and BAY11-7082),Bacopa monnieri,and IL-1 signaling biologics,significantly suppress tumor growth and metastasis in HNSCC and other cancers.In this review,we systematically decipher the NLRP3 regulatory network,evaluate the translational potential of targeted interventions,and offer novel thera-peutic avenues to overcome treatment barriers in HNSCC.

The regulation of rhizosphere bacterial community structure and metabolism by plants in municipal solid waste landfills is a key to enhancing the biodegradation of chlorobenzene (CB). In this study, we employed biodiversity and metabolomics methods to systematically analyze the mechanisms of different plant species in regulating the rhizosphere bacterial community structure and metabolic features and then improved the methane (CH₄) oxidation and CB degradation capacity. The results showed that the rhizosphere soil of Rumex acetosa exhibited the highest CH₄ oxidation and CB degradation capacity of 0.08 g/(kg·h) and 1.72×10^-6 g/(L·h), respectively, followed by the rhizosphere soil of Amaranthus spinosus L., with the rhizosphere soil of Broussonetia papyrifera showing the weakest activity. Rumex acetosa promoted the colonization of Methylocaldum in the rhizosphere, and the small-molecule organic amine, such as triethylamine and N-methyl-aniline, secreted from the roots of this plant enhanced the tricarboxylic acid cycle and nicotinamide metabolism, thereby increasing microbial activity and improving CH₄ and CB degradation efficiency. Conversely, cinnamic acid and its derivatives secreted by Broussonetia papyrifera acted as autotoxins, inhibiting microbial activity and exacerbating the negative effects of salt stress on key microbes such as methanotrophs. This study probed into the mechanisms of typical plants growing in landfill cover soil in regulating bacterial ecological functions, offering theoretical support and practical guidance for the plant-microbe joint control of landfill gas pollution.
Biodegradation, Environmental ; Rhizosphere ; Soil Microbiology ; Waste Disposal Facilities ; Chlorobenzenes/metabolism* ; Bacteria/metabolism* ; Soil Pollutants/metabolism* ; Methane/metabolism* ; Plant Roots/microbiology* ; Amaranthus/microbiology* ; Soil

Chlorobenzene contaminants (CBs) pose a threat to the eco-environment, and functional strains hold considerable potential for the remediation of CB-contaminated sites. To deeply explore the application potential of functional bacteria in the in-situ bioremediation of CBs, this study focused on the biodegradation characteristics and degradation kinetics of CB and 1, 2-dichlorobenzene (1, 2-DCB) in soil by the isolated strain Serratia marcescens TF-1. Additionally, an in-situ remediation trial was conducted with this strain at a chemical industrial site. Batch serum bottle experiments showed that the degradation rate of CB at the concentrations ranging from 20 to 200 mg/L by TF-1 was 0.22-0.66 mol/(g_cell·h), following the Haldane model, with the optimal concentration at 23.12 mg/L. The results from simulated soil degradation experiments indicated that the combined use of TF-1 and sodium succinate (SS) significantly enhanced the degradation of CBs, with the maximum degradation rate of CB reaching 0.104 d^-1 and a half-life of 6.66 d. For 1, 2-DCB, the maximum degradation rate constant was 0.068 7 d^-1, with a half-life of 10.087 d. The in-situ remediation results at the chemically contaminated site demonstrated that the introduction of bacterial inoculant and SS significantly improved the removal of CBs, achieving the removal rates of 84.2%-100% after 10 d. CB, 1, 4-dichlorobenzene (1, 4-DCB), and benzo[a]pyrene were completely removed. Microbial diversity analysis revealed that the in-situ remediation facilitated the colonization of TF-1 and the enrichment of indigenous nitrogen-fixing Azoarcus, which may have played a key role in the degradation process. This study provides a theoretical basis and practical experience for the in situ bioremediation of CBs-contaminated sites.
Chlorobenzenes/isolation & purification* ; Biodegradation, Environmental ; Soil Pollutants/isolation & purification* ; Serratia marcescens/metabolism* ; Industrial Waste ; Soil Microbiology

Objective Focusing on gynecological surgery,we constructed a prediction model for surgical duration by extracting features from unstructured surgical planning texts and integrating multimodal data via artificial intelligence technology.Methods The clinical data of 34 614 patients who underwent gynecologic surgeries at West China Second University Hospital,Sichuan University between January 2022 and October 2024 were collected.An embedding-transformer model was constructed to convert surgical planning texts into a one-dimensional numerical feature,referred to as the step feature.The predictive value of the step feature was assessed by comparing the performance improvements of linear regression,random forest,eXtreme Gradient Boosting(XGBoost),support vector regression,K-nearest neighbor regression,and artificial neural network algorithms in two scenarios—with and without the step feature as an input.The out-of-sample prediction accuracy of the models was assessed using mean absolute error(MAE),root mean squared error(RMSE),and R-squared(R2).Furthermore,the model interpretability was examined using SHapley Additive exPlanations(SHAP)values.Results SHAP results showed that the step feature had the highest predictive contribution.Temporal factors in surgical scheduling also influenced gynecological surgery duration.The XGBoost model demonstrated optimal performance on the test set,significantly improving prediction accuracy with a 40.43%increase in R2,while reducing MAE and RMSE by 21.27%and 20.13%,respectively,compared to the baseline model without the step feature.Conclusion The embedding-transformer model developed in this study effectively extracts features from surgical planning texts and enhances the predictive performance of machine learning models.The XGBoost prediction model can assist hospital administrators in implementing more refined management of gynecological surgeries and improving the utilization efficiency of surgical resources.

In recent years, immunotherapy represented by immune checkpoint inhibitors has made important breakthroughs in the treatment of various malignant tumors. At present, immune checkpoint inhibitors have been widely used in patients with metastatic and recurrent advanced head and neck squamous cell carcinoma (HNSCC). Biomarkers play an important role in predicting the efficacy of immunotherapy for HNSCC. The biomarkers that can predict immunotherapy effect of patients with HNSCC mainly include programmed-death receptor ligand 1, tumor mutation load, human papillomavirus, and immune cell related indicators. This article reviews the predictive markers of immunotherapy for HNSCC and the current research situation. The further understanding of the predictive markers can help to accurately screen out the patients receiving the immunotherapy and to improve the prognosis of patients.

Objective:To investigate and analyze basic status of radiotherapy units in Hebei Province in 2024.Methods:Led by the Fourth Hospital of Hebei Medical University, the Radiation Oncology Branch of the Hebei Medical Association, and the Radiation Oncology Expert Committee of the Hebei Society of Clinical Oncology, a province-wide survey was conducted using structured questionnaires. The survey covered key aspects such as basic information of radiotherapy institutions, personnel allocation, equipment configuration, and implementation of radiotherapy techniques. Collected data were summarized and descriptively analyzed comparing with a 2013 survey of radiotherapy in Hebei Province.Results:All 158 radiotherapy institutions across Hebei Province participated in the survey. A total of 2273 radiotherapy professionals were reported, including 1317 radiation oncologists (57.94%), 332 medical physicists (14.61%), 71 radiotherapy engineers (3.12%), and 553 radiotherapy technologists (24.33%). The number of radiotherapy devices significantly increased from 121 in 2013 to 237 in 2024, including 68 domestic radiotherapy equipment. The current inventory includes 195 medical linear accelerators (2.61 units per million population), 2 cobalt-60 units, 27 afterloading machines, 9 tomotherapy (TOMO) systems, 3 CyberKnife units, and 1 proton therapy system. Three-dimensional conformal radiotherapy and stati intensity-modulated radiotherapy have been widely adopted across the province, while advanced techniques such as volumetric-modulated arc therapy, stereotactic body radiotherapy, and respiration-gated technology, and respiratory gating are gradually being implemented.Conclusions:In recent years, the configuration of radiotherapy personnel in Hebei Province has become more balanced, and the availability of precision radiotherapy equipment has significantly improved. There is a growing trend in the adoption of domestically manufactured radiotherapy equipment, marking substantial progress in the development of radiation oncology services in the region.

Objective To propose a novel method based on three-dimensional depthwise separable convolution network(3D DSN)for the separation of PET images with dual tracers of 18F-FDG and 18F-FAPI.Methods A total of 120 pairs of 18F-FDG and 18F-FAPI PET images of the same patient scanned separately at different time points were collected,and the dual-tracer PET image was generated through simulation.After the image registration of PET images of two tracers for ensuring spatial position matching,the registered PET images were forward-projected to generate sinogram data,and the sinogram data of two tracers were accumulated to obtain mixed sinogram data.Subsequently,the dual-tracer PET image was reconstructed using maximum likelihood expectation maximization and input into a 3D DSN based network for image separation,thereby obtaining PET images of two single tracers.Results Compared with 3D CNN method,the proposed method increased the structure similarity index measure(SSIM)of the separated 18F-FDG images to the real 18F-FDG images by 0.87%,increased the peak signal-to-noise ratio(PSNR)by 11.8%,and reduced the normalized root mean square error(NRMSE)by 52%.The SSIM of the separated 18F-FAPI images to the real 18F-FAPI images increased by 1.1%,PSNR increased by 17.0%,and NRMSE decreased by 51%.Conclusion The proposed method can be effectively applied to simultaneous PET imaging with dual PET tracers,reducing the number of scans and costs in time and money,and providing clinical doctors more accurate and abundant diagnostic information.

Objective To investigate the expression levels of Ubiquitin Carboxy-Terminal Hydrolase-L1(UCH-L1)and Netrin-1 in the serum of patients with spontaneous basal ganglia hemorrhage(ICH)complicated with cerebral edema,and to analyze their impacts on neurological deficits and prognosis.Methods A retrospec-tive analysis was conducted on the clinical data of 173 patients with spontaneous basal ganglia hemorrhage admitted to the Department of Neurosurgery,The First Affiliated Hospital of Bengbu Medical University from September 2023 to January 2025.The serum levels of UCH-L1 and Netrin-1 were measured within 24 hours after the onset.They were divided into three groups according to the size of the cerebral edema volume(CEV):Group A(CEV<10 mL),Group B(CEV 10～30 mL),and Group C(CEV>30 mL).Pearson's correlation analysis was used to analyze the correlation between serum expression levels of UCH-L1 and Netrin-1 with hemorrhage,volume of cere-bral edema,distance of midline shift,Modified Edinburgh-Scandinavian Stroke Scale(MESSS)score,Modified Rankin Scale(mRS)score,and Glasgow Coma Scale(GCS)score.Logistic regression analysis was performed to identify the risk factors for poor prognosis.Receiver operating characteristic(ROC)curve analysis was used to evaluate the predictive value of UCH-L1 and netrin-1 for poor prognosis.Results Significant differences were observed in the serum levels of UCH-L1 and netrin-1 among patients with different volumes of cerebral edema(P<0.05).The larger the volume of cerebral edema,the higher the expression levels of UCH-L1 and netrin-1.The serum levels of UCH-L1 and Netrin-1 were significantly higher in the poor prognosis group compared to the good prognosis group(P<0.05).The serum levels of UCH-L1 and Netrin-1 were positively correlated with MESSS score,hemorrhage volume,cerebral edema volume,distance of midline shift,and mRS score(P<0.05),and negatively correlated with GCS score(P<0.05).Multivariate Logistic regression analysis showed that both UCH-L1 and netrin-1 were independent risk factors for poor neurological prognosis in basal ganglia hemorrhage patients(P<0.05).ROC curve analysis indicated that both markers had important predictive value for poor prognosis.The AUC for serum UCH-L1 level predicting poor prognosis was 0.77[95%confidence interval(CI):0.69～0.85,P<0.01],with a sensitivity of 84.9%and a specificity of 50.6%.The AUC for serum Netrin-1 level predicting poor prognosis was 0.89(95%CI:0.85～0.94,P<0.01),with a sensitivity of 82.1%and a specificity of 68.7%.Conclusions Serum UCH-L1 and Netrin-1 are differentially expressed in patients with spontaneous basal ganglia hemorrhage complicated with different volumes of cerebral edema.They are independent risk factors for poor prog-nosis and are important predictors of neurological function prognosis in these patients.