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 investigate the predictive value of endothelial activation and stress index (EASIX) for the prognosis of patients with mantle cell lymphoma (MCL). METHODS: A retrospective analysis was conducted to assess prognosis and compare the clinical features of patients diagnosed with MCL who were admitted to the Affiliated Hospital of Xuzhou Medical University from January 2010 to June 2023, had therapeutic indications and received standard treatment. RESULTS: A total of 66 patients were included and divided into high EASIX group and low EASIX group, according to a cutoff value of 0.97 determined by the receiver operating characteristic (ROC) curve. Multivariate Cox regression analysis showed that prealbumin <0.2 g/L, high EASIX, and ECOG PS score ≥2 were independent risk factors influencing overall survival (OS) in MCL patients. The median OS of patients in the high and low EASIX group was 13.0 and 37.5 months, and the median progression-free survival was 8.8 and 26.0 months, respectively. The proportions of patients with ECOG PS score ≥2 and prealbumin <0.2 g/L at onset significantly increased in the high EASIX group compared to those in the low EASIX group. CONCLUSION At the time of initial diagnosis, EASIX can serve as an independent prognostic indicator impacting OS in patients with MCL. Furthermore, patients in the high EASIX group experience a poorer prognosis and shorter survival duration compared with those in the low EASIX group.
Humans ; Lymphoma, Mantle-Cell/pathology* ; Prognosis ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; ROC Curve

OBJECTIVE: The aim of this study is to explore the clinical efficacy and safety of endocrinotherapy combined with Shenqi Pills on hormone-sensitive prostate cancer (HSPC). METHODS: Eighty patients who were diagnosed with HSPC and renal-yang deficiency at the First Affiliated Hospital of Hunan University of Traditional Chinese Medicine and the Hospital of Traditional Chinese Medicine of Mayang Miao Autonomous County from 1st April 2021 to 30th April 2024 were randomly divided into 2 groups. The patients in the control group were treated with androgen deprivation therapy (ADT). And the patients in treatment group were treated with Shenqi Pills orally on the basis of the control group. The baseline data of the two groups were analyzed. After 36 months of treatment, the differences between the two groups were compared in terms of overall survival (OS), prostate-specific antigen (PSA) level, PSA response rate, Functional Assessment Scale for Prostate Cancer Therapy (FACT-P), Chinese medicine evidence scores, testosterone level and safety. RESULTS: A total of 80 study subjects were included in this study, including 42 cases in the treatment group and 38 cases in the control group. There was no statistical difference in the baseline data between the two groups before treatment (P>0.05). At the end of the observation period, a statistically significant difference in OS was found in the treatment group compared to the control group in the subgroup of patients with a disease duration ranged of 0-6 months (P<0.05). There was no statistically significant difference in PSA levels in the treatment group at 3 months (P>0.05). And the differences in the proportion of PSA50 (98.1% vs 91.4%), PSA90 (92.9% vs 84.6%) and the proportion of decrease in PSA (56.7% vs 33.8%) in the treatment group were found compared to those in the control group after 6 months of tre atment. After 12 months of treatment, the scores of FACT-4 and renal-yang deficiency in the treatment group were (95.28±7.93) and (15.73±5.70) respectively, compared to the scores in the control group (［85.46±10.12］ and ［18.20±4.27］ (P<0.05). However, there was no significant difference in serum testosterone (［0.60±0.24］ nmol/L vs ［1.09±2.10］ nmol/L) between the two groups (P>0.05). After 24 months of treatment, there were significant differences in in the FACT-4 total score (［97.95±7.54］ vs ［80.33±8.58］), renal-yang deficiency syndrome score (［14.64±5.15］ vs ［24.94±8.75］) between the treatment group and the control group (P<0.05). However, there was no significant difference in serum testosterone ( ［0.73±1.01］ nmol/L vs ［0.59±0.25］ nmol/L) between the two groups (P> 0.05). Better therapeutic results were showed in the treatment group in terms of total FACT-P score, physical situation score, social and family situation score, emotional state score, functional state score, additional score and renal-yang deficiency symptom score (P<0.05). After treatment, there was no serious adverse reaction in the course of treatment, and no obvious abnormality was found in the liver and kidney function of the patients from two groups. CONCLUSION Endocrinotherapy combined with Shenqi Pills is safe and effective in HSPC and can reduce the risk of death in HSPC patients, and the earlier the intervention, the longer the overall survival of the patients. In addition, this treatment regimen can increase the PSA response rate, improve patients' quality of life, and reduce the renal-yang deficiency syndrome score without the risk of elevating serum testosterone levels.
Humans ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Prostatic Neoplasms/drug therapy* ; Androgen Antagonists/therapeutic use* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Treatment Outcome ; Testosterone

OBJECTIVE: To investigate the efficacy of 3D-printed navigation guided pudendal lead implantation on nervous regulation of lower urinary tract symptoms（LUTS） in male patients. METHODS: Twenty-eight male patients who underwent perineal nervous regulation treatment for LUTS in Gongli Hospital of Pudong New Area from October 2021 to October 2023 were randomly divided into observation group and control group. The technology assisted with 3D-printed navigation to regulate the genital nerves was used in observation group. And the patients in control group were treated with regulation of the genital nerves by routine puncture. Operation time of puncture, number of surgical punctures, and stimulator debugging time compared between the two groups. The improvement of postoperative symptoms and surgical complications of patients in the observation group were recorded as well. RESULT: A total of 12 male LUTS patients were included in the observation group, with an average age of 36.5±6.5 years, including 7 cases of frequent micturition, 3 cases of perineal pain, and 2 cases of dysuria. Four patients showed no significant improvement in symptoms, including two patients with pain and two cases of frequent micturition who did not undergo secondary surgery. While the other eight patients showed significant improvement in symptoms. The average time for successful puncture in control group was (21.13 ± 4.53) minutes, which was longer than that of the 3D-printed navigation group (［10.32 ± 3.42］ min) significantly (P<0.05). The average number of punctures in the ordinary puncture group was 5.62 ± 1.43, which was significantly higher than that in the 3D-printed navigation group (1.5 ± 0.56). There was no statistically significant difference in the average time for stimulator debugging between the two groups of patients. The conversion rate of the 3D-printed navigation group in the second phase was 66.7%, which was higher than that (37.5%) significantly (P<0.05). CONCLUSION 3D printing navigation of pudendal nerve electrode wire implantation can improve the accuracy of electrode implantation and the conversion rate to a certain extent, which has the advantages of reducing the difficulty of surgery.
Humans ; Male ; Printing, Three-Dimensional ; Lower Urinary Tract Symptoms/surgery* ; Adult ; Pudendal Nerve ; Middle Aged ; Electrodes, Implanted

BACKGROUND: Children's respiratory health demonstrates particular sensitivity to air pollution. Existing evidence investigating the association between short-term ozone (O₃) exposure and childhood pneumonia remains insufficient and inconsistent, especially in low- and middle-income countries (LMICs). METHOD: To provide more reliable and persuasive evidence, we implemented a multi-city, time-stratified case-crossover design with a large sample size, using data from seven representative children's hospitals across major geographical regions in China. To avoid the impact of the COVID-19 pandemic, individual-level medical records of inpatient children under 6 years of age diagnosed with pneumonia during 2016-2019 were collected. Conditional logistic regression models were fitted for each city, and city-specific estimates were pooled through a meta-analysis using a random-effects model. RESULTS: In total, the study included 137,470 pediatric pneumonia hospital admissions. The highest pooled estimate for O₃ occurred at lag0-1, with a 10 µg/m³ increase in O₃ associated with a 1.57% (95% CI: 0.67%-2.48%) higher risk of pediatric pneumonia hospital admissions. Stratified analyses indicated that the effects of O₃ were robust across different sexes, age groups, and admission seasons. We also observed a statistically significant increase in risk associated with O₃ concentrations exceeding the World Health Organization Air Quality Guidelines (WHO-AQGs). CONCLUSIONS This study revealed a significant positive association between O₃ and pediatric pneumonia hospital admissions. Our findings substantially strengthen the evidence base for the adverse health impacts of O₃, underscoring the importance of O₃ pollution control and management in reducing the public health burden of pediatric pneumonia.
Humans ; Ozone/analysis* ; China/epidemiology* ; Pneumonia/chemically induced* ; Child, Preschool ; Male ; Female ; Infant ; Cross-Over Studies ; Air Pollutants/analysis* ; Hospitalization/statistics & numerical data* ; Child ; Cities/epidemiology* ; Air Pollution/adverse effects* ; Infant, Newborn ; Environmental Exposure/adverse effects*