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.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Imaging plays a significant role in diagnosis and treatment of musculoskeletal diseases.With the development of medical imaging technology,both clinical application and research depth of musculoskeletal imaging achieved remarkable progresses.The application advancements and future developing trends of musculoskeletal imaging were reviewed in this article.

Objective:To investigate the feasibility of the combination of free breathing with the high-threshold, short-delay technique in reducing radiation dose and the volumes of iodinated contrast agent in coronary computed tomography angiography (CCTA) for obese patients.Methods:The data of 73 obese patients with weights > 85 kg and body mass indices (BMIs) > 30 kg/m 2 who received CCTA in the Radiology Department of the Peking University Third Hospital from February 2023 to May 2024 were prospectively collected. These patients were divided into a control group (31 patients) and an experimental group (42 patients). Data were collected from the control group and experimental groups under breath-holding and free-breathing conditions, respectively. The bolus tracking thresholds, delay times, and ICA injection durations were set at 100 HU, 7 s, and 12 s for the control group and at 250 HU, 2 s, and 8 s for the experimental group, respectively. Other scanning and reconstruction parameters of both groups were consistent. The CT values and their standard deviations ( SD) of both groups were assessed and compared, with the CT values involving the lumens of the aorta (AO) root, left anterior descending (LAD), left circumflex artery (LCX), and right coronary artery (RCA). The signal-to-noise ratios (SNR) and contrast-to-noise ratio (CNR) were also calculated. The subjective assessment of image quality was performed for the 18 coronary artery segments using a 4-point scale. The effective radiation doses ( E) and the volumes of iodinated contrast agent of both groups were recorded and compared. The statistical differences in the aforementioned parameters between the groups were tested and analyzed using the analysis of variance (ANOVA), the Mann-Whitney U test, or the χ 2 test. With the results of the ICA as the gold standard, the diagnostic performance of the combination of free-breathing with the high-threshold, short-delay technique in CCTA for obese patients was assessed. Results:There was no statistically significant difference ( P > 0.05) in coronary artery images between both groups, specifically regarding the CT, SNR, and CNR values of the lumens of the AO roots, LAD, LCX, and RCA, as well as the SD values of the AO roots. Both groups received subjective scores of ≥ 3 for coronary artery images, meeting the diagnostic criteria, with no statistically significant differences ( P > 0.05). Compared with the results of the ICA, the analyses of the coronary artery segments of 23 patients from the experimental group, revealed that the accuracy, sensitivity, and specificity of CCTA in the diagnosis of > 50% stenosis were 89%, 86%, and 97%, respectively. Compared to that (45 ml) of the control group, the volume (30 ml) of iodinated contrast agent of the experimental group decreased by 33.3%, with no statistically significant difference in the effective radiation dose ( E) between both groups ( P > 0.05). Conclusions:The combination of free breathing with the high-threshold, short-delay technique can further reduce the volume of the ICA for obese patients while maintaining high CCTA image quality and diagnostic performance.

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:To explore the safety and efficacy of shunt reduction using the Interlock-35 fibered interlocking detachable coil (IDC) occlusion system in the treatment of refractory hepatic encephalopathy (HE) after transjugular intrahepatic portosystemic shunt (TIPS).Methods:From August 2022 to December 2023, at the Department of Gastroenterology of the Air Force Medical Center, the clinical data of patients with refractory HE after TIPS who were treated with shunt reduction using the Interlock-35 fibered IDC occlusion system were retrospectively collected, which included portal vein pressure gradient (PVPG), HE grades, blood ammonia levels, prothrombin time (PT), liver function parameters, and other related indicators. The primary indicators related to the efficacy of the shunt reduction included symptom improvement, and changes in PVPG, blood ammonia levels, and Child-Pugh score. The safety of shunt reduction was analyzed based on the incidence of complications such as gastrointestinal bleeding and ascites during the follow-up period. Paired t-test was used for statistical analysis. Results:A total of 21 patients were enrolled. Prior to shunt reduction, there were 5 cases with HE of grade 3 and 16 cases with HE of grade 2. Before operation, the blood ammonia was (103.14±27.69) mol/L; and the liver function Child-Pugh grade of 1 case was classified as grade A, 16 cases as grade B, and 4 cases as grade C. Shunt reduction was performed between 7 and 1 879 d, with a median time of 99 (54, 806) d after TIPS. The procedure was technically successful in all patients, with a total of 25 coils implanted. Before shunt reduction, the PVPG was (14.02±5.28) cmH 2O (1 cmH 2O=0.098 kPa), after shunt reduction procedure, the PVPG increased to (25.05±6.04) cmH 2O, and the difference was statistically significant ( t=-11.26, P<0.001). After operation, 16 patients returned to the hospital for follow-up examinations, with a median follow-up time of 114 (46, 195) d, the blood ammonia levels, PT, and Child-Pugh scores during the follow-up were all lower than those before operation ((78.19±27.85) μmol/L vs. (105.00±30.53) μmol/L, (14.09±1.65) s vs. (15.41±2.35) s, and 6.88±1.59 vs. 8.13±1.75, respectively), and the differences were statistically significant ( t=2.23, 3.23, and 2.61; P=0.040, <0.001, =0.020). There was no statistically significant in PVPG between during follow-up and immediately post-procedure ((28.91±6.20) cmH 2O vs. (25.22±5.92) cmH 2O, P>0.05). During the follow-up period, HE symptoms disappeared in 12 patients among the 16 patients who returned to hospital for follow-up, however gastrointestinal bleeding occurred in 5 patients and ascites occurred in 3 patients; additionally, 4 patients experienced intermittent HE symptoms (grade 1 in 3 cases, grade 2 in 1 case). After operation, 5 patients were followed up via telephone, among them, 3 patients died, and 2 patients experienced intermittent HE (grade 1) which could be spontaneously restored with dietary adjustments and(or) medication. Conclusions:Interlock-35 fibered IDC occlusion system for shunt reduction is a feasible and effective treatment for refractory HE after TIPS. It can effectively improve symptoms and decrease liver function score. After shunt reduction, early follow-up and adjustment of flow reduction can help reduce the occurrence of severe complications.

Objective:To explore the application effects of a four-in-one blended teaching model integrating artificial intelligence, virtual reality, 3D printing, and case-based learning (CBL) in the clinical teaching of spinal tumors.Methods:We divided 89 students on training in the Department of Orthopedics of Peking University Third Hospital from September 2022 to August 2024 into control group ( n=47) and experimental group ( n=42). The control group adopted traditional teaching, and the experimental group adopted the four-in-one teaching model. At the end of clinical teaching, an artificial intelligence test and a questionnaire survey were administered to the students to evaluate the teaching effects. The two groups were compared using the independent samples t-test with the use of SPSS 27.0. Results:The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%, χ2=9.44, P=0.002), learning interest [(4.50±0.63), t=2.75, P=0.007], theoretical knowledge mastery [(4.64±0.69), t=7.74, P<0.001], clinical thinking [(4.48±0.71), t=9.08, P<0.001], practical skills [(4.13±0.89), t=2.69, P=0.009], scientific research innovation [(4.71±0.59), t=9.28, P<0.001], teacher-student interaction [(4.74±0.54), t=12.76, P<0.001], and classroom attention [(4.69±0.52), t=12.64, P<0.001]. At the same time, the students in the experimental group put forward numerous constructive feedback. Conclusions:The four-in-one blended teaching model combining artificial intelligence, virtual reality, 3D printing, and CBL can help undergraduate medical students better recognize and diagnose spinal tumors with a correct clinical thinking path, achieving good teaching effects.