Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

BACKGROUND:Vitamin C,as an essential nutrient,has a wide range of biological effects and a variety of biological functions related to the pathogenesis of sarcopenia.Vitamin C supplementation is expected to be a novel prevention and treatment measure for sarcopenia. OBJECTIVE:To review recent research advances in the application of vitamin C in the pathogenesis and treatment of sarcopenia,and to discuss the potential role of vitamin C in the prevention and treatment of sarcopenia and possible mechanistic pathways based on published evidence. METHODS:The first author performed a computer search of PubMed,Web of Science,CNKI and other databases for relevant studies involving vitamin C in sarcopenia.The search keywords were"vitamin C,ascorbic acid,L-ascorbic acid,ascorbate,antioxidants,oxidative stress,sarcopenia,muscular atrophy,muscle weakness,muscle development,skeletal muscle regenerate,muscles,skeletal muscle"in English and Chinese,respectively.The search period was from each database inception to July 2023.After screening,85 articles were included for further review. RESULTS AND CONCLUSION:Ensuring adequate dietary vitamin C intake or maintaining normal circulating levels of vitamin C will help to reduce age-related muscle loss and decrease the prevalence of sarcopenia.In addition,vitamin C supplementation is also useful for improving skeletal muscle mass,strength and physical function with potential synergistic effects in exercise strategies for sarcopenia.The effects of vitamin C on sarcopenia may be via the following biological mechanisms:vitamin C limits the activation of the ubiquitin-proteasome pathway mainly by inhibiting oxidative stress and inflammatory responses in skeletal muscle,thus positively regulating protein metabolic homeostasis,and may enhance mitochondrial antioxidant defenses through its antioxidant effects to maintain healthy mitochondrial function.In addition,vitamin C affects myoblast proliferation,differentiation and myotube size,mainly by increasing the expression of myogenic regulatory factors and activating protein synthesis signaling pathways,which contribute to the promotion of muscle development as well as the repair and regeneration of damaged muscle tissue.The positive effects of vitamin C in sarcopenia need to be studied in large samples and with optimized designs for important influencing factors,such as the choice of supplementation dose and duration,the design of exercise prescription when vitamin C is combined with an exercise intervention,and the assessment of the redox status of the individual.It is recommended that future studies should be conducted in older patients with sarcopenia(<50 μmol/L)with suboptimal vitamin C status to investigate the efficacy of a combined intervention of long-term supplementation with 1 000 mg/d vitamin C(for 6 months or longer)with at least two or more types of multi-type combined exercise,with supplementation timed to take place at 1 hour after the end of the exercise,and with monitoring of markers of oxidative damage produced during the exercise such as malondialdehyde or protein hydroxyl levels were monitored.In conclusion,the optimal dose and timing of vitamin C supplementation for older adults with sarcopenia needs to be explored more,while the appropriate design of exercise prescriptions(especially the type and intensity of exercise)needs to be further determined.

Prostate-specific membrane antigen positron emission tomography/computed tomography(PSMA PET/CT)is an emerging imaging technique applied in the diagnosis and treatment of localized or locally advanced prostate cancer.It can effectively avoid unnecessary biopsies,and PSMA PET/CT-guided targeted biopsy could significantly improve the detection rate of clinically significant prostate cancer(csPCa).The technology of PSMA PET-based multi-image fusion biopsy may be the emphasis in the research of prostate cancer diagnosis in future.Compared with traditional imaging techniques,PSMA PET/CT is advantageous in detecting lymph node metastasis.It can not only be used to predict the adverse pathological features,including Gleason score,positive surgical margin,and postoperative pathological upgrading,but also to evaluate the efficacy of neoadjuvant therapy,guide radiotherapy regimen,predict biochemical recurrence and detect recurrent lesions.Currently,more large-scale prospective studies are still needed to explore the application of PSMA PET/CT for localized or locally advanced prostate cancer.

Objective:The transjugular or transfemoral approach is used as a common method for hepatic venous pressure gradient (HVPG) measurement in current practice. This study aims to confirm the safety and effectiveness of measuring HVPG via the forearm venous approach.Methods:Prospective recruitment was conducted for patients with cirrhosis who underwent HVPG measurement via the forearm venous approach at six hospitals in China and Japan from September 2020 to December 2020. Patients' clinical baseline information and HVPG measurement data were collected. The right median cubital vein or basilic vein approach for all enrolled patients was selected. The HVPG standard process was used to measure pressure. Research data were analyzed using SPSS 22.0 statistical software. Quantitative data were used to represent medians (interquartile ranges), while qualitative data were used to represent frequency and rates. The correlation between two sets of data was analyzed using Pearson correlation analysis.Results:A total of 43 cases were enrolled in this study. Of these, 41 (95.3%) successfully underwent HVPG measurement via the forearm venous approach. None of the patients had any serious complications. The median operation time for HVPG detection via forearm vein was 18.0 minutes (12.3~38.8 minutes). This study confirmed that HVPG was positively closely related to Child-Pugh score ( r = 0.47, P = 0.002), albumin-bilirubin score ( r = 0.37, P = 0.001), Lok index ( r = 0.36, P = 0.02), liver stiffness ( r = 0.58, P = 0.01), and spleen stiffness ( r = 0.77, P = 0.01), while negatively correlated with albumin ( r = -0.42, P = 0.006). Conclusion:The results of this multi-centre retrospective study suggest that HVPG measurement via the forearm venous approach is safe and feasible.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To analyze the differences in clinical outcomes and toxicities between postoperative radiotherapy alone and postoperative radiochemotherapy for soft tissue sarcoma (STS), as well as the related factors affecting clinical prognosis of STS patients.Methods:Retrospective analysis of patients diagnosed with primary STS admitted to Zhejiang Cancer Hospital from May 2012 to May 2019 was performed, who received adjuvant radiotherapy after surgery, combined with or without postoperative chemotherapy. A total of 100 patients were enrolled and divided into postoperative radiotherapy group ( n=52) and postoperative radiochemotherapy group ( n=48). The median follow-up time was 65 months (24-124 months). The local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), overall survival (OS), and treatment-related toxicities were recorded in two groups. The survival rate was calculated by Kaplan-Meier analysis. Log-rank test was used for univariate analysis, and Cox model was used for multivariate analysis. Results:In multivariate analysis, the maximum tumor diameter was an independent predictor of local tumor recurrence ( HR=4.80, 95% CI=1.16-19.85, P=0.031), distant metastasis ( HR=4.67, 95% CI=1.53-14.26, P=0.007) and OS ( HR=4.10, 95% CI=1.35-12.48, P=0.013). In addition, the degree of myelosuppression in patients in postoperative radiochemotherapy was significantly higher than that in their counterparts in postoperative radiotherapy group ( P<0.001). Conclusions:In the limited number of patients, radiochemotherapy has no advantages over radiotherapy alone in distant metastasis or survival rate. Besides, it increases toxicities, but the overall tolerability is favorable. It is necessary to conduct prospective randomized studies in a large population and subgroup analysis of histological subtypes, aiming to obtain results with better reference value.