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.

Objective To observe the efficacy and safety of 3 D video-assisted thoracoscopic segmentectomy in patients with stage Ⅰ lung cancer treated with indocyanine green(ICG)fluorescence reverse-staining.Methods A total of 132 patients with stage Ⅰ lung cancer who were admitted from May 2022 to September 2024 all underwent three-dimensional video-assisted thoracoscopic segmental resection of the lung.They were divided into the observation group(63 cases)and the control group(69 cases)according to the method of intersegmental plane exposure.The control group was treated with the modified expansion and collapse method,while the observation group was treated with the ICG fluorescence backstaining method.The surgical conditions,pulmonary function,postoperative pain degree,quality of life and complications of the two groups were compared.Results The postoperative chest tube retention time,surgical time,postoperative hospitalization time,total postoperative thoracic drainage volume,and inter-segmental plane exposure time in the observation group were as follows(2.13±0.37)d,(145.12±25.26)min,(5.21±0.95)d,(261.41±28.57)ml and(9.15±1.73)s,respectively.The data of the control groups were(3.29±0.48)d,(178.31±30.45)min,(6.34±1.36)d,(352.03±36.74)ml and(1 651.28±179.84)s,respectively.There was a statistically significant difference between the two groups(P＜0.05).There was no statistically significant difference in the number of intraoperative blood loss and intraoperative lymph node dissections between the two groups(P＞0.05).There was no statistically significant difference in the levels of maximal expiratory flow(PEF),forced expiratory volume in one second(FEV1),and FEV1/forced vital capacity(FVC)between the two groups before the operation and one month after the operation(P＞0.05).The Visual Analogue Scale(VAS)scores of the observation group at 12 hours,48 hours and 72 hours after the operation were(3.25±0.46)points,(2.13±0.35)points and(1.02±0.24)points respectively.The control groups were(4.11±0.59)points,(2.98±0.42)points,and(1.73±0.30)points,respectively.There was a statistically significant difference between the two groups(P＜0.05).There was no statistically significant difference in the scores of negative and positive items between the two groups before the operation and one month after the operation(P＞0.05).There was no statistically significant difference in the total incidence of complications between the two groups(P＞0.05).Conclusion The modified dilatation collapse method and ICG fluorescence reverse staining method have no significant effects on lung function and complications in patients with stage Ⅰ lung cancer,and both can improve the quality of life.Compared with the modified dilatation collapse method,ICG fluorescence reverse staining method can shorten the plane exposure time between segments and the operation time,promote postoperative rehabilitation and alleviate postoperative pain.

Objective To observe the efficacy and safety of 3 D video-assisted thoracoscopic segmentectomy in patients with stage Ⅰ lung cancer treated with indocyanine green(ICG)fluorescence reverse-staining.Methods A total of 132 patients with stage Ⅰ lung cancer who were admitted from May 2022 to September 2024 all underwent three-dimensional video-assisted thoracoscopic segmental resection of the lung.They were divided into the observation group(63 cases)and the control group(69 cases)according to the method of intersegmental plane exposure.The control group was treated with the modified expansion and collapse method,while the observation group was treated with the ICG fluorescence backstaining method.The surgical conditions,pulmonary function,postoperative pain degree,quality of life and complications of the two groups were compared.Results The postoperative chest tube retention time,surgical time,postoperative hospitalization time,total postoperative thoracic drainage volume,and inter-segmental plane exposure time in the observation group were as follows(2.13±0.37)d,(145.12±25.26)min,(5.21±0.95)d,(261.41±28.57)ml and(9.15±1.73)s,respectively.The data of the control groups were(3.29±0.48)d,(178.31±30.45)min,(6.34±1.36)d,(352.03±36.74)ml and(1 651.28±179.84)s,respectively.There was a statistically significant difference between the two groups(P＜0.05).There was no statistically significant difference in the number of intraoperative blood loss and intraoperative lymph node dissections between the two groups(P＞0.05).There was no statistically significant difference in the levels of maximal expiratory flow(PEF),forced expiratory volume in one second(FEV1),and FEV1/forced vital capacity(FVC)between the two groups before the operation and one month after the operation(P＞0.05).The Visual Analogue Scale(VAS)scores of the observation group at 12 hours,48 hours and 72 hours after the operation were(3.25±0.46)points,(2.13±0.35)points and(1.02±0.24)points respectively.The control groups were(4.11±0.59)points,(2.98±0.42)points,and(1.73±0.30)points,respectively.There was a statistically significant difference between the two groups(P＜0.05).There was no statistically significant difference in the scores of negative and positive items between the two groups before the operation and one month after the operation(P＞0.05).There was no statistically significant difference in the total incidence of complications between the two groups(P＞0.05).Conclusion The modified dilatation collapse method and ICG fluorescence reverse staining method have no significant effects on lung function and complications in patients with stage Ⅰ lung cancer,and both can improve the quality of life.Compared with the modified dilatation collapse method,ICG fluorescence reverse staining method can shorten the plane exposure time between segments and the operation time,promote postoperative rehabilitation and alleviate postoperative pain.

Animals ; Callithrix ; Sex Factors ; Vocalization, Animal ; Sex Characteristics

Objective To investigate the efficacy of Jianpiwenyang Gel(SSWYG)for treating chronic diarrhea and explore its therapeutic mechanism.Methods Eighty patients with chronic diarrhea of spleen and stomach weakness type were randomized into two groups for interventions with lifestyle adjustment and treatment with bifid triple viable capsules(control group,n=40)or naval application with SSWYG(treatment group,n=40)for one week,after which symptoms of chronic diarrhea were evaluated.The Chinese medicine system pharmacology analysis platform(TCMSP),GeneCards,NCBI,OMIM database and GEO database(GSE14841)were used to obtain the active ingredients and target proteins of SSWYG and chronic diarrhea-related targets.The key targets were obtained by topological analysis for Gene Ontology(GO)and KEGG analyses.The affinity and binding characteristics of SSWYG for specific targets were verified by molecular docking using AutoDock software.Results In both groups,gastrointestinal symptom rating scale(GSRS),Bristol Scale and TCM syndrome scores significantly improved after the treatments(P<0.05),and better effects were observed in the treatment group(P<0.05).Sixty-eight targets of SSWYG in treating chronic diarrhea were obtained,and 33 most probable ones were screened out by topological analysis.GO and KEGG analyses identified several chronic diarrhea-related pathways including the TNF and IL-17 pathways.Molecular docking study showed good affinity of the core components of SSWYG for the key targets CASP3,JNK,IL1B,IL6,and AKT1.JUN and CASP3 had the lowest binding energy and the highest stable binding energy with multiple major active ingredients of SSWYG.Conclusion SSWYG can significantly improve clinical symptoms of chronic diarrhea possibly by regulating the TNF and IL-17 as well as other pathways via CASP3 and JUN,suggesting a complex therapeutic mechanism of SSWYG involving multiple ingredients and targets and coordinated regulation of multiple pathways.

Objective To investigate the efficacy of Jianpiwenyang Gel(SSWYG)for treating chronic diarrhea and explore its therapeutic mechanism.Methods Eighty patients with chronic diarrhea of spleen and stomach weakness type were randomized into two groups for interventions with lifestyle adjustment and treatment with bifid triple viable capsules(control group,n=40)or naval application with SSWYG(treatment group,n=40)for one week,after which symptoms of chronic diarrhea were evaluated.The Chinese medicine system pharmacology analysis platform(TCMSP),GeneCards,NCBI,OMIM database and GEO database(GSE14841)were used to obtain the active ingredients and target proteins of SSWYG and chronic diarrhea-related targets.The key targets were obtained by topological analysis for Gene Ontology(GO)and KEGG analyses.The affinity and binding characteristics of SSWYG for specific targets were verified by molecular docking using AutoDock software.Results In both groups,gastrointestinal symptom rating scale(GSRS),Bristol Scale and TCM syndrome scores significantly improved after the treatments(P<0.05),and better effects were observed in the treatment group(P<0.05).Sixty-eight targets of SSWYG in treating chronic diarrhea were obtained,and 33 most probable ones were screened out by topological analysis.GO and KEGG analyses identified several chronic diarrhea-related pathways including the TNF and IL-17 pathways.Molecular docking study showed good affinity of the core components of SSWYG for the key targets CASP3,JNK,IL1B,IL6,and AKT1.JUN and CASP3 had the lowest binding energy and the highest stable binding energy with multiple major active ingredients of SSWYG.Conclusion SSWYG can significantly improve clinical symptoms of chronic diarrhea possibly by regulating the TNF and IL-17 as well as other pathways via CASP3 and JUN,suggesting a complex therapeutic mechanism of SSWYG involving multiple ingredients and targets and coordinated regulation of multiple pathways.