BACKGROUND:H-type vessels(CD31hiEmcnhi)possess unique functionalities that offer new perspectives and entry points for comprehensively understanding the mechanisms of vascular-mediated bone metabolism regulation.This has triggered a significant paradigm shift in bone science research from a"bone-centric"approach to an"integrative bone-vascular"framework.OBJECTIVE:To perform a visual analysis based on literature data in the field of H-type vessels,aiming to identify research hotspots and emerging trends.METHODS:A systematic search was conducted in the CNKI and Web of Science databases for English and Chinese publications related to H-type vessels,covering the period from 2014 to 2024.The CiteSpace 6.2.R4 information visualization software was utilized to analyze and visualize data on publication countries,authors,institutions,keywords,and timeline views.RESULTS AND CONCLUSION:(1)A total of 59 Chinese and 185 English publications were included in the analysis.Since the introduction of the H-type vessel concept in 2014,the number of related research publications has been steadily increasing,accompanied by a significant growth in academic output.China leads the research in this domain,with major institutions including Southern Medical University,Sichuan University,and Shanghai Jiao Tong University.Keyword analysis indicated that current research hotspots primarily focus on the generation and regulatory mechanisms of H-type vessels,their roles in bone formation and remodeling,and their associations with bone metabolic diseases.Additionally,emerging keywords such as"induced membrane,""cartilage repair,"and"traditional Chinese medicine"suggest that research is progressively moving towards diversification and multidisciplinary integration.(2)H-type vessels play a crucial role in the development and progression of bone diseases,and relevant studies are pivotal for a deeper understanding of the physiological and pathological processes of bone tissue.Future research should further elucidate the specific mechanisms of H-type vessels in various disease contexts and promote the clinical translation of basic research findings.These efforts will provide innovative ideas and strategies for the prevention and treatment of bone-related diseases.

BACKGROUND:H-type vessels(CD31hiEmcnhi)possess unique functionalities that offer new perspectives and entry points for comprehensively understanding the mechanisms of vascular-mediated bone metabolism regulation.This has triggered a significant paradigm shift in bone science research from a"bone-centric"approach to an"integrative bone-vascular"framework.OBJECTIVE:To perform a visual analysis based on literature data in the field of H-type vessels,aiming to identify research hotspots and emerging trends.METHODS:A systematic search was conducted in the CNKI and Web of Science databases for English and Chinese publications related to H-type vessels,covering the period from 2014 to 2024.The CiteSpace 6.2.R4 information visualization software was utilized to analyze and visualize data on publication countries,authors,institutions,keywords,and timeline views.RESULTS AND CONCLUSION:(1)A total of 59 Chinese and 185 English publications were included in the analysis.Since the introduction of the H-type vessel concept in 2014,the number of related research publications has been steadily increasing,accompanied by a significant growth in academic output.China leads the research in this domain,with major institutions including Southern Medical University,Sichuan University,and Shanghai Jiao Tong University.Keyword analysis indicated that current research hotspots primarily focus on the generation and regulatory mechanisms of H-type vessels,their roles in bone formation and remodeling,and their associations with bone metabolic diseases.Additionally,emerging keywords such as"induced membrane,""cartilage repair,"and"traditional Chinese medicine"suggest that research is progressively moving towards diversification and multidisciplinary integration.(2)H-type vessels play a crucial role in the development and progression of bone diseases,and relevant studies are pivotal for a deeper understanding of the physiological and pathological processes of bone tissue.Future research should further elucidate the specific mechanisms of H-type vessels in various disease contexts and promote the clinical translation of basic research findings.These efforts will provide innovative ideas and strategies for the prevention and treatment of bone-related diseases.

ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine （TCM） clinical scenarios， and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior （AP） and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st， 2023， and September 1st， 2024， via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed， combined with anatomical knowledge specific to TCM orthopedics， to optimize the feature extraction strategy of an artificial intelligence （AI） model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated， and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected， and were divided into a training set （11,144 images， 5066 AP and 6078 lateral）， a validation set （3700 images， 1840 AP and 1860 lateral）， and an independent test set （600 images， 300 AP and 300 lateral） after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination， when the degree error between AI measurement and manual measurement was ＜3° and ＜5°， AI measurement accuracy was 83% and 93%， respectively. In 300 lateral X-rays in the test set for palmar tilt， when AI measurements had an error of ＜3° and ＜5° compared to manual measurements， corresponding accuracy rate was 78% and 90%， respectively. For 50 X-ray images， AI measurement time was （1.37±0.05） min for radial inclination while manual measurement time was （22.57±2.52） min （P＜0.001）； in terms of palmar tilt， the AI measurement time was （1.33±0.14） min， shorter than （23.70±2.80） min for manual measurement time （P＜0.001）. Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established， enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.

ObjectiveTo systematically quantify the multidimensional effect of virtual reality-based exergaming (VREG) on health outcomes among individuals with cognitive impairment under the framework of the International Classification of Functioning, Disability and Health (ICF). MethodsMeta-analysis was conducted in accordance with the PRISMA statement. PubMed, Cochrane Library, Embase, Scopus, Web of Science, CNKI, Wanfang Data and VIP were researched for randomized controlled trials (RCTs) investigating VREG for cognitive impairment, with the search deadline set on February 1, 2026. The Cochrane Risk of Bias 2.0 tool was adopted to evaluate the methodological quality of included studies. A three-level meta-analytic model was implemented with R 4.4.2. The GRADE framework was further used to rate the certainty of pooled evidence. ResultsA total of 22 RCTs were included. VREG might improve global cognitive function (SMD = 0.69, 95%CI 0.11 to 1.28, P = 0.022), memory (SMD = 0.47, 95%CI 0.07 to 0.87, P = 0.023), attention (SMD = 0.62, 95%CI 0.23 to 1.01, P = 0.004), executive function (SMD = 0.42, 95%CI 0.09 to 0.75, P = 0.013), balance (SMD = 0.54, 95%CI 0.07 to 1.00, P = 0.027), muscle strength (SMD = 0.63, 95%CI 0.37 to 0.88, P = 0.001), mobility (SMD = 0.29, 95%CI 0.04 to 0.54, P = 0.024) and quality of life (SMD = 0.29, 95%CI 0.03 to 0.56, P = 0.029). No significant effect was observed for depressive symptoms, comprehensive physical fitness and fall risk (all P > 0.05). Subgroup and meta-regression analyses indicated that session duration < 45 minutes produced the largest improvement in attention (SMD = 0.95, 95%CI 0.55 to 1.34, P < 0.001); intervention cycles of twelve to 24 weeks were optimal for mobility (SMD = 0.85, 95%CI 0.44 to 1.25, P < 0.001); age negatively correlated to balance improvement (β = -0.11, 95%CI -0.20 to -0.02, P = 0.020), suggesting less intervention benefits among older participants. ConclusionVREG is an effective non-pharmacological intervention to improve multidimensional physical and mental health in people with cognitive impairment. Protocols featuring short single sessions with long-term duration should be prioritized.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Objective:To explore the diagnostic value of a clinical-radiomics model based on the T 1 mapping and apparent diffusion coefficient (ADC)-based radiomics, and the clinical indicator for renal fibrosis (RF) caused by chronic kidney disease (CKD). Methods:This cross-sectional study prospectively and consecutively enrolled 122 patients with CKD at the Second Affiliated Hospital of Soochow University from September 2021 to December 2023 who were randomly allocated to a training set ( n=85) or a validation set ( n=37) in an approximate 7∶3 ratio using simple random sampling. Patients underwent T 1 mapping and diffusion-weighted imaging scans. Renal biopsy was performed within 3 days after the MRI scans. Patients were categorized into three groups based on the degree of RF: no RF ( n=25), mild RF ( n=55), and moderate to severe RF ( n=42). To differentiate the presence of RF (no RF vs. any RF) and the severity of RF (mild RF vs. moderate to severe RF), univariate and multivariate logistic regression were used to optimize the independent clinical predictor, which constituted the clinical model. Radiomics features were extracted from regions of interest delineated within the renal parenchyma of the right kidney on T 1 mapping and ADC maps. Features were selected using least absolute shrinkage and selection operator regression to build the radiomics model. A clinical-radiomics model was subsequently constructed by integrating the independent clinical predictors with the selected radiomics features. Model diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC). Calibration curve was plotted to assess model calibration, and decision curve analysis was performed to evaluate clinical net benefit. Results:Univariate logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), serum creatinine, and blood urea nitrogen exhibited statistically significant differences ( P0.05) in distinguishing both the presence and severity of RF. Multivariate analysis identified eGFR as an independent clinical predictor for both the presence of RF ( OR=0.939, 95% CI 0.898-0.982, P=0.006) and RF severity ( OR=0.956, 95% CI 0.917-0.997, P=0.037). From the MRI images, 7 radiomics features were selected to build the radiomics model for distinguishing the presence of RF, and 8 features were selected for the model assessing RF severity. These radiomics models were then combined with eGFR to construct the clinical-radiomics models. The clinical-radiomics models demonstrated the highest diagnostic performance, with an AUC of 0.935 (95% CI 0.859-0.977) for RF presence and 0.967 (95% CI 0.891-0.995) for RF severity in the training set, and 0.914 (95% CI 0.774-0.981) and 0.908 (95% CI 0.748-0.981) in the validation set. Calibration curves and decision curve analysis confirmed that the clinical-radiomics models exhibited excellent calibration and provided the highest clinical net benefit for assessing RF in CKD patients. Conclusion:The clinical-radiomics model integrating T 1 mapping and ADC-based radiomics and eGFR can effectively improve the diagnostic performance for RF in CKD patients.

Patients with differentiated thyroid cancer have a good prognosis after surgical treatment, but there are still some patients with recurrence or metastasis.Local/regional recurrent lesions invade or compress the surrounding organs such as esophagus and trachea,and appear fistula,obstruction,bleeding and other manifestations. For such patients,local treatment should be preferred to effectively control tumor growth and alleviate symptoms. Local treatment is an important means to control local lesions and has an important position in the treatment of malignant tumors. It can be used for local treatment of recurrent thyroid cancer,including reoperation,ablation, 125I seed implantation,external beam radiotherapy. This review reviews the local treatment effects and complications of local/regional recurrence of differentiated thyroid cancer according to the guidelines and related literature.

Objective:To investigate the efficacy and influencing factors of iodine-125 seed implantation in the treatment of recurrent radioiodine refractory differentiated thyroid carcinoma (RAIR-DTC) .Methods:Retrospective analysis of 18 patients with recurrent RAIR-DTC treated with iodine-125 particle implantation at Ward One, Department of Oncology, Hebei General Hospital from Sept. 2015 to Mar. 2022 was performed. A total of 35 lesions were involved, all permanently implanted with iodine-125 particles under image guidance, with particle activity ranging from 0.3mCi to 0.8mCi, and prescription doses ranging from 80 to 140 Gy. The study observed the objective response rate, local control rate, survival rate, adverse reactions, and factors influencing treatment efficacy.Results:After a follow-up period of 8 to 115 months,according to the objective efficacy evaluation criteria of solid tumors 1.1,the objective response rates were 51.4% (18/35) ,80.0% (28/35) ,68.6% (24/35) ,60.0% (21/35) ,42.9% (15/35) at 3,6,12,24,36 months postoperatively,respectively.The local control rates were 100% (35/35) ,100% (35/35) ,80.0% (28/35) ,62.9% (22/35) ,51.4% (18/35) at 3,6,12,24,36 months postoperatively,respectively.The 1-,2-, and 3-year postoperative survival rates were 83.3% (15/18) ,72.2% (13/18) ,61.1% (11/18) ,respectively.During the follow-up period,4 patients developed progressive lesions in the target area.One grade I radioactive skin injury,one grade Ⅱ radioactive skin injury,and no residual particle-related adverse reactions.The results of multivariate analysis showed that D90,tumor involvement of the esophagus were the factors influencing the recent efficacy.The area under the ROC curve for D90 was 0.804 with the best bound of 106.5Gy.Conclusion:Iodine-125 particle implantation is safe and effective for recurrent RAIR-DTC.D90,tumor involvement of the esophagus are the influencing factors of the recent efficacy,and the D90≥106.5Gy treatment effect is better.

Objective To investigate the effects of parecoxib sodium on pain and Toll-like receptor 4(TLR4)/p38 mitogen activated protein kinase(p38MAPK)pathway in rats with femoral fracture.Methods Sixty rats were randomly separated into sham operation group,model group,TLR4 inhibitor(TAK-242)group(3 mg/kg),parecoxib sodium group(10 mg/kg),and parecoxib sodium+TLR4 activator lipopolysaccharide group(10 mg/kg parecoxib sodium+15 mg/kg LPS),with 12 rats in each group.Except for the sham operation group,rats in all other groups were used to establish a femoral fracture model by transverse cutting of the mid femur.After 28 days of treatment in each group,X-rays were used to detect the degree of fracture healing in rats.The mechanical pain threshold(PWMT)and thermal pain threshold(PWTL)of rats were measured.ELISA was applied to detect the levels of tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),and IL-10 in serum.Micro-CT method was applied to detect changes in femoral bone density(BMD),bone volume fraction(BV/TV),trabecular thickness(Tb.Th),and trabecular quantity(Tb.N)in rats.HE staining was applied to observe the pathological changes of bone tissue at the fracture site in rats.Western blot was applied to detect the expression of TLR4/p38MAPK pathway related proteins in bone tissue at the fracture site.Results Compared with the sham operation group,the fracture lines of rats in the model group were obvious,with a small amount of callus growth,the PWMT,PWTL,femoral BMD,BV/TV,Tb.Th,and Tb.N decreased,while the levels of serum IL-6,TNF-α,and IL-10,and the levels of TLR4 and p-p38MAPK/p38MAPK proteins in the bone tissue at the fracture site increased(P＜0.05).Compared with the model group,the fracture lines in the TAK-242 group and the parecoxib sodium group were blurred,and there was an increase in callus growth,the PWMT,PWTL,femoral BMD,BV/TV,Tb.Th,and Tb.N,the serum IL-10 level increased,while the serum IL-6,TNF-αlevels,the TLR4 and p-p38MAPK/p38MAPK protein levels in bone tissue at the fracture site decreased(P＜0.05).LPS could upregulate the phosphorylation levels of TLR4 and p38MAPK,and weaken the relieving effects on anti-inflammatory and pain of parecoxib sodium on fracture rats.Conclusion Paracoxib sodium may alleviate pain and accelerate fracture healing in rats with femoral fractures by inhibiting the TLR4/p38MAPK pathway and suppressing inflammatory responses.

Objective To explore the factors for chemotherapy-induced nausea and vomiting(CINV)in patients with advanced colorectal cancer receiving moderately emetic chemotherapy regimens.Methods 296 patients with colorectal cancer treated with oxaliplatin/irinotecan combination therapy and standard antiemetic prophylaxis regimen at the First Hospital of Jiaxing from July 1,2022 to June 30,2024 were selected,including 164 patients in oxaliplatin combination therapy group and 132 patients in irinotecan combination therapy group.Evaluated the nausea and vomiting status of patients within 5 days after the start of chemotherapy.Analyzed demographic data,medical history data,follow-up data.Results The incidence of CINV in oxaliplatin combination therapy group was 61.59％,and that in irinotecan combination therapy group was 53.79％.The incidence of delayed CINV and severe acute CINV in oxaliplatin combination therapy group were significantly higher than those in irinotecan combination therapy group(P＜0.05).Multivariate analysis showed that the risk factors for acute CINV in the oxaliplatin-based combination regimen were smoking history and CINV history.The risk factors for delayed CINV were age,no history of drinking,history of pregnancy-induced vomiting,motion sickness history,CINV history,and first use of the regimen.For the irinotecan-based combination regimen,the risk factors for acute CINV were motion sickness history and CINV history.The risk factors for delayed CINV were CINV history and anxious emotions.Conclusion When useing standard anti-emetic prophylaxis that still have a high incidence of CINV by moderate emetic chemotherapy drugs in advanced colorectal cancer patients.Patients with high risk factors should actively take preventive measures to control CINV.