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.

Rotator cuff tears are common shoulder injuries that often necessitate surgical intervention, particularly when nonoperative treatments fail. Arthroscopic rotator cuff repair is the current gold standard; however, challenges, such as high retear rates, especially in large tears, persist. Traditional techniques, such as single-row and double-row repairs, have limitations in fully restoring the anatomical footprint and ensuring optimal healing. This review examines the novel double pulley-triple row technique, which aims to overcome these limitations by enhancing the footprint contact area, load distribution, and tendon healing. By evaluating the double pulley-triple row method in comparison to established techniques, this study explores the potential advantages, limitations, and future directions of rotator cuff repair.

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.

Rotator cuff tears are common shoulder injuries that often necessitate surgical intervention, particularly when nonoperative treatments fail. Arthroscopic rotator cuff repair is the current gold standard; however, challenges, such as high retear rates, especially in large tears, persist. Traditional techniques, such as single-row and double-row repairs, have limitations in fully restoring the anatomical footprint and ensuring optimal healing. This review examines the novel double pulley-triple row technique, which aims to overcome these limitations by enhancing the footprint contact area, load distribution, and tendon healing. By evaluating the double pulley-triple row method in comparison to established techniques, this study explores the potential advantages, limitations, and future directions of rotator cuff repair.

Rotator cuff tears are common shoulder injuries that often necessitate surgical intervention, particularly when nonoperative treatments fail. Arthroscopic rotator cuff repair is the current gold standard; however, challenges, such as high retear rates, especially in large tears, persist. Traditional techniques, such as single-row and double-row repairs, have limitations in fully restoring the anatomical footprint and ensuring optimal healing. This review examines the novel double pulley-triple row technique, which aims to overcome these limitations by enhancing the footprint contact area, load distribution, and tendon healing. By evaluating the double pulley-triple row method in comparison to established techniques, this study explores the potential advantages, limitations, and future directions of rotator cuff repair.

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.

Rotator cuff tears are common shoulder injuries that often necessitate surgical intervention, particularly when nonoperative treatments fail. Arthroscopic rotator cuff repair is the current gold standard; however, challenges, such as high retear rates, especially in large tears, persist. Traditional techniques, such as single-row and double-row repairs, have limitations in fully restoring the anatomical footprint and ensuring optimal healing. This review examines the novel double pulley-triple row technique, which aims to overcome these limitations by enhancing the footprint contact area, load distribution, and tendon healing. By evaluating the double pulley-triple row method in comparison to established techniques, this study explores the potential advantages, limitations, and future directions of rotator cuff repair.

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 We aimed to investigate the hemostatic effect and mechanism of modified Sijunzi Decoction(MSJZT),consisting of tangshen,India bread,largehead atractylodes rhizome,liquorice root,milkvetch root,ass hide glue,and India madder root,on the zebrafish intestinal bleeding model through 5-hydroxytryptamine(5-HT)and its receptors(5-HT2aR,5-HT2bR).Methods Zebrafish at 4 days post fertilization were used as the research object.An intestinal bleeding model was established by induction with 6 μmol/L simvastatin for 24 hours.The zebrafish were divided into normal group,model group,MSJZT low-,mid-and high-concentration groups(55.6,167,500 mg/L),and after modeling,the corresponding concentration of MSJZT was administered.The samples were collected after 24 hours.Platelet count(PLT)and bleeding status were observed.The content of 5-HT and Caspase 3/7 activity were detected by colorimetry.The gene expressions of 5-HT2aR,5-HT2bR and serotonin transporter(SERT)were detected by real-time PCR.The protein expressions of protein kinase B(AKT),phosphorylated AKT(p-AKT),extracellular signal-regulated protein kinase(ERK),and phosphorylated ERK(p-ERK)were detected by Western blotting.Results The intestinal bleeding rate in the model group was 70.0%,and that in the MSJZT low-,mid-and high-concentration groups was 36.7%,40.0%,and 80.0%,respectively;the intestinal hemostatic effect was 54%,52%,and 7%,respectively.Compared with the model group,the PLT in the MSJZT low-and mid-concentration groups decreased;the content of 5-HT in all MSJZT groups increased,and the gene expressions of 5-HT2aR and 5-HT2bR were up-regulated.The gene expression of SERT was up-regulated in the low-and mid-concentration groups;the Caspase 3/7 activity in the mid-and high-concentration groups was reduced;the expressions of p-AKT and p-ERK proteins were up-regulated in the low-and mid-concentration groups(all P<0.05).Conclusion MSJZT can reduce the incidence and severity of intestinal bleeding in zebrafish intestinal bleeding models.The mechanism may be achieved by activating AKT and ERK signaling pathways through 5-HT and its receptors.