Objective:To discuss the correlation of International Society of Urological Pathology (ISUP) pathological grading with 18F-prostate specific membrane antigen (PSMA)-1007 positron emission tomography-computed tomography (PET/CT) parameters and serum total prostate specific antigen (tPSA) in prostate cancer, and assess the clinical value of PET/CT combined with tPSA in predicting the ISUP pathological grade of prostate cancer. Methods:The correlation of ISUP pathological grade with primary parameters of PET/CT images and serum tPSA of 117 patients diagnosed with prostate cancer at Shanxi Cancer Hospital from August 2018 to February 2023 and taken 18F-PSMA-1007 PET/CT imaging were retrospectively analyzed. Univariate and multivariate logistic regressions were used to identify the independent influencing factors for ISUP pathological grading of prostate cancer. The receiver operating characteristic (ROC) curves were used to predict the efficacy between the high and low ISUP grades for prostate cancer. Results:Of the 117 patients, 20 were in ISUP Group 1, 25 in Group 2, 18 in Group 3, 32 in Group 4, and 22 in Group 5. Of these, 63 were in the low-grade group (Groups 1-3) and 54 were in the high-grade group (Groups 4-5). The tumor long diameter was 3.10 (2.05, 4.25) cm, the prostate volume was 40.11 (33.13, 51.85) cm 3, the serum tPSA was 19.71 (12.25, 42.83) ng/ml, the prostate specific antigen density (PSAD) was 0.51 (0.31, 1.01) ng·ml -1·cm -3, the maximum standard uptake value of the lesion (SUVmax) was 15.24 (10.87, 22.03), and the tumor/spleen uptake ratio (TSR) was 1.61 (1.08, 2.15) in the 117 patients. The correlation analysis displayed that the SUVmax, TSR, and tPSA were positively correlated with ISUP groups ( r=0.640, 0.619, and 0.500, P＜0.01). The differences among SUVmax, TSR, long diameter, tPSA, and PSAD were statistically significant when compared among the five ISUP groups ( H=48.98, 45.63, 26.82, 33.95, and 23.81, P＜0.001). The differencesin serum tPSA ( z=5.19), PSAD ( z=4.64), long diameter ( z=3.19), SUVmax ( z=5.57), and TSR ( z=5.53) of the patients between the low-grade group and the high-grade group were statistically significant ( P＜0.01). In multivariate analysis, TSR ( OR=4.172, 95% CI: 2.095-8.308, P＜0.001) and the serum tPSA ( OR=1.042, 95% CI: 1.014-1.070, P＜0.01) were independent influencing factors for ISUP grades. ROC analysis revealed that the area under the curve for the 18F-PSMA-1007 PET/CT parameters SUVmax and TSR to predict low- or high-grade ISUP for prostate cancer was 0.800 (95% CI: 0.717-0.883) and 0.797 (95% CI: 0.713-0.881), respectively. Among the 70 patients who underwent radical prostatectomy, the postoperative recurrence rate of high-grade ISUP patients was higher than that of low-grade patients (54.8% and 25.6%, χ 2=6.21, P＜0.05). Conclusions:18F-PSMA-1007 PET/CT has good application in predicting ISUP grading of prostate cancer. TSR and the serum tPSA are independent predictors for the pathological grade.

Background and Aims:Complete situs inversus(SIT)is a rare congenital abnormality of organ mirror-image arrangement,presenting certain challenges for abdominal surgical procedures.The Da Vinci robotic system,with its high-definition 3D vision and flexible operation,holds potential for application in patients with anatomical variations.This report presents the diagnosis and treatment process of a patient with rectal mass and SIT who underwent robotic-assisted surgery.Additionally,relevant literature is reviewed to provide insights for individualized surgical strategies in patients with complex anatomical variations and to promote the further clinical application of robotic-assisted surgery systems.Methods:A case from the First Affiliated Hospital of Zhengzhou University is reported,in which a patient with rectal mass and SIT successfully underwent lesion resection using the Da Vinci robotic system with an unconventional"five-port"technique.A systematic literature review was also conducted(including 35 case reports),to summarize the surgical characteristics of colorectal procedures in SIT patients and the advantages of robotic system application.Results:The patient was a 74-year-old male who presented with rectal bleeding.Imaging confirmed the diagnosis of SIT,and colonoscopy revealed a large polypoid mass with ulceration at the apex,located 13-18 cm from the anal verge.The patient subsequently underwent Da Vinci robotic-assisted resection of the rectal lesion.The robotic system effectively overcame the challenges posed by mirror-image anatomy,enabling complete excision of the lesion.The operation lasted 183 minutes,with intraoperative blood loss of less than 20 mL.Postoperative pathology confirmed a villous tubular adenoma with high-grade intraepithelial neoplasia.The patient had an uneventful recovery,and no recurrence was observed during the 9-month follow-up.Literature analysis demonstrated that the robotic system,through magnified 3D visualization,flexible instrument articulation,and tremor filtration,significantly improves surgical precision in patients with anatomical anomalies.Conclusion:The Da Vinci robotic system effectively addresses the challenges of anatomical variations related to SIT in low rectal surgery.Its stability and precision offer a new technical option for tumor resection under complex anatomical conditions,demonstrating clinical value for widespread application.

Objective:To explore the value of lumbar volumetric bone mineral density (vBMD) measured by quantitative computed tomography (QCT) in predicting coronary artery calcification (CAC).Methods:This retrospective, cross-sectional study included a total of 991 patients (504 male and 487 female) who underwent coronary artery CT angiography (CTA) and chest, abdomen, or lumbar spine CT examinations at Taihe County People′s Hospital from January 2023 to June 2024. Lumbar vBMD was measured by QCT. The coronary artery calcification score (CACS) was calculated using an artificial intelligence-assisted diagnostic system. Patients were categorized into a low calcification group (CACS≤100, 592 cases) and a moderate-to-severe calcification group (CACS>100, 399 cases). Independent-sample t-tests, Mann-Whitney U tests, or χ2 tests were employed to analyze the differences in clinical data and lumbar vBMD between the two groups. Binary logistic regression was employed to control confounding factors and analyze the correlation between lumbar vBMD and moderate-to-severe CAC. Multivariate binary logistic regression was used to identify independent predictors of moderate-to-severe CAC and construct a combined prediction model. The receiver operating characteristic curve was used to evaluate the efficacy of lumbar vBMD and the combined model in predicting moderate-to-severe CAC. The comparison of the area under the curve (AUC) was conducted using the DeLong test. Results:The age, incidence of diabetes, hypertension, and osteoporosis were significantly higher in the moderate-to-severe calcification group than in the low calcification group, while lumbar vBMD was significantly lower in the former group (all P<0.05). The body mass index, smoking history, and hyperlipidemia had no statistical differences between the two groups (all P>0.05). Following adjustment for potential confounding variables, the results of binary logistic regression analysis revealed that lumbar vBMD was not significantly associated with the presence of moderate-to-severe CAC in the overall study population or in male ( OR=0.998, 95% CI 0.993-1.003, P=0.379; OR=1.000, 95% CI 0.993-1.006, P=0.918). However, lumbar vBMD was a statistically significant predictor in females ( OR=0.992, 95% CI 0.985-0.999, P=0.032). Multivariate binary logistic regression analysis further demonstrated that age ( OR=1.048, 95% CI 1.019-1.077, P=0.001), hypertension ( OR=2.649, 95% CI 1.719-4.082, P<0.001), and lumbar vBMD ( OR=0.992, 95% CI 0.984-0.999, P=0.022) were independent predictors of moderate-to-severe CAC in women. The AUC of lumbar vBMD for predicting moderate-to-severe CAC in female patients was 0.684 (95% CI 0.641-0.725), and the AUC of the combined model was 0.746 (95% CI 0.705-0.784), with a statistically significant difference ( Z=3.26, P=0.001). Conclusions:Lumbar vBMD measured by QCT is an independent predictor of moderate-to-severe CAC in women and demonstrates moderate predictive value. The predictive performance can be enhanced by integrating age and hypertension into a combined predictive model.

Colorectal cancer(CRC)is a common malignancy of the digestive system,with increasing morbidity and mortality worldwide.The standard treatment for CRC has,in the past,been surgery,chemotherapy,and radiotherapy.However,these treatments have significant side effects and are particularly challenging for patients with advanced metastatic CRC(mCRC).Therefore,it is crucial to explore alternative and more effective treatments.In recent years,with the development of molecular technology,numerous biomarkers have been identified,and targeted therapy and immunotherapy have achieved surprisingly positive results in the treatment of mCRC.Patients receiving targeted ther-apy and immunotherapy have an improved prognosis and quality of life.On this basis,this article reviews the latest research progress in tar-geted therapy and immunotherapy for mCRC,providing a reference for precision treatment of mCRC.

Knee osteoarthritis is a common joint disease within osteoarthritis,characterized by pain,swelling,and limited functionality as the main clinical manifestations.In severe cases,it affects daily life and falls under the category of"impediment syndrome"or"bone impediment"in TCM.The author believes that the theory of"bones,tendons,and muscles"is closely related to this disease.Treatment should focus on simultaneously nourishing the liver,spleen and kidneys,considering tendons,bones and muscles,while also dispelling wind,cold and dampness.The clinical application of Sanbi Decoction has shown good efficacy,and this discussion aimed to provide ideas for the diagnosis and treatment of knee osteoarthritis.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To analyze the prevalence of human respiratory syncytial virus（RSV）and the evolutionary characteristics of the adhesion glycoprotein（G）gene in Xi'an from 2023 to 2024.Methods:Respiratory specimens were collected from patients with acute respiratory infections in Xi'an between October 2023 to October 2024. RSV nucleic acid screening was performed using real-time fluorescence quantitative PCR；full-length G gene sequencing was conducted on nucleic acid-positive specimens. Genotyping characterization of the obtained sequences was performed using Nextclade v3.10.0 software.Results:A total of 2 548 respiratory tract infection samples were collected，with 104 cases（4.08%，104/2 548）testing positive for RSV. The highest RSV positivity rate was observed in children aged ≤1 year（12.24%，18/147），and significant difference in positivity rates were found among age groups（χ 2=37.868， P<0.001）. Since October 2023，RSV has seen an epidemic peak during January to February 2024，and gradually declined thereafter，with no positive cases from May to September 2024. Among the 43 RSV-positive samples，12 strains were identified as subtype A（all genotype A.D.3），and 31 strains were subtype B（14 genotype B.D.4.1.1 and 17 genotype B.D.E.1）. Conclusion:From October 2023 to October 2024，RSV had an epidemic peak in January and February in Xi＇an，with subtype B being the predominant circulating type.

Neuroinflammation secondary to traumatic brain injury (TBI) is a key factor affecting the prognosis and neural repair of patients. In recent years, nanomedicine and nano delivery system (NDDS) has shown great potential in neuroinflammation after TBI due to their controlled release, good biocompatibility, and ability to cross the blood-brain barrier. This article reviews the recent advance in mechanism of neuroinflammation after TBI and regulatory role of various NDDS in neuroinflammation after TBI, with the aim of providing references for treatment of neuroinflammation after TBI.

Background and Aims:Papillary thyroid carcinoma(PTC)is the most common endocrine malignancy in China,with cervical lymph node metastasis being a frequent and critical clinical feature that directly affects patient prognosis and recurrence risk.In recent years,with the rapid increase in the prevalence of overweight and obesity in China,the role of body mass index(BMI)in various tumors has attracted growing attention.This study aimed to investigate the association between overweight and cervical LNM in PTC,analyze sex-specific differences and influencing factors,and provide evidence for precise clinical management.Methods:A retrospective analysis was conducted on the clinicopathologic data of 1 445 patients with classical PTC treated at Xiangya Hospital of Central South University between August 2021 and June 2022.Patients were divided into groups based on the presence or absence of lymph node metastasis.Restricted cubic spline analysis explored the nonlinear relationship between BMI and lymph node metastasis risk.Univariate and multivariate Logistic regression analyses were applied to identify independent risk factors.Furthermore,sex-stratified analysis was performed among overweight patients(BMI≥24 kg/m2)to determine sex-specific risk factors for lymph node metastasis.Results:Among all patients,716(49.6%)had lymph node metastasis.Univariate analysis showed that BMI,sex,age,tumor diameter,multifocality,and extrathyroidal extension were significantly associated with cervical lymph node metastasis in PTC patients(all P<0.05).A nonlinear positive correlation was observed between BMI and lymph node metastasis risk,which was more pronounced in male patients.Additionally,BMI was positively correlated with triglyceride levels and negatively correlated with high-density lipoprotein cholesterol.Sex-stratified analysis revealed that in overweight male patients,younger age(OR=0.954),larger tumor diameter(OR=1.085),and multifocality(OR=2.776)were independent risk factors for LNM;in overweight female patients,younger age(OR=0.943)and larger tumor diameter(OR=1.074)were the main influencing factors.Conclusion:Overweight is closely associated with cervical lymph node metastasis in PTC,and the high-risk factors for LNM differ between male and female overweight patients.Young age,larger tumor size,and multifocality in overweight males,and young age and larger tumors in overweight females indicate a higher risk of metastasis.It is recommended that high-risk populations receive enhanced preoperative evaluation and individualized lymph node dissection strategies to achieve precise treatment and improved risk control.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.