1.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
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.
2.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
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.
3.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
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.
4.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
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.
5.Predicting Postoperative Progression of Ossification of the Posterior Longitudinal Ligament in the Cervical Spine Using Interpretable Radiomics Models
Siyuan QIN ; Ruomu QU ; Ke LIU ; Ruixin YAN ; Weili ZHAO ; Jun XU ; Enlong ZHANG ; Feifei ZHOU ; Ning LANG
Neurospine 2025;22(1):144-156
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.
6.Association between the ratio of dietary vitamin A to body weight and hypertension in children
Chinese Journal of School Health 2024;45(2):267-272
Objective:
To explore the relationship between the ratio of dietary vitamin A (VitA) to body weight and hypertension among children, so as to provide a reference for blood pressure control through dietary nutritional interventions and childhood hypertension prevention.
Methods:
Utilizing the baseline survey and followup sample data from the Healthy Children Cohort established in urban and rural areas of Chongqing from 2014 to 2019, structured quantitative dietary questionnaire and selfdesigned questionnaire were used to investigate the information of dietary intake and socioeconomic characteristics of 15 279 children, as well as blood pressure, height, weight measurement. The ratio of dietary VitA to body weight was divided into four groups based on quartiles [≤P25(Q1), >P25~P50(Q2), >P50~P75(Q3), >P75(Q4)]. Generalized linear regression models and Logistic regression models were used to analyze the correlation between ratio of dietary VitA to body weight with blood pressure levels and prevalence of hypertension.
Results:
The results of the 2014 baseline survey indicated that, after adjusting for confounding factors such as demographic indicators and nutritional intake, significant differences were observed in systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) among different groups categorized by the ratio of dietary VitA to body weight (F=157.57, 44.71, 95.92, P<0.01). The baseline ratio of dietary VitA to body weight in children exhibited a negative correlation with DBP, SBP and MAP at baseline and in 2019[baseline: β(95%CI)=-0.65(-0.89--0.42), -0.22(-0.42--0.01), -0.36(-0.56--0.16); 2019: β(95%CI)=-0.77(-1.34--0.19), -0.62(-1.21--0.02), -0.77(-1.34--0.19), P<0.05]. Compared to Q1 group, the risk of hypertension decreased among children in Q4 at baseline and followup in 2019 [OR(95%CI)=0.63(0.49-0.81), 0.18(0.08-0.42), P<0.01].
Conclusions
The ratio of dietary VitA to body weight is significantly negatively correlated with blood pressure levels among children, and dietary VitA deficiency is an independent risk factor for hypertension among children. Measures should be taken to actively adjust childrens dietary nutrition and reduce the risk of childhood hypertension.
7.Predictors and prognostic analysis of pathological complete response of axillary metastatic lymph nodes after neoadjuvant chemotherapy in breast cancer
Qin XU ; Jun YUAN ; Ping QIAN ; Linna YUAN ; Zhenyi MA ; Ziran ZHANG
China Modern Doctor 2024;62(5):30-34,39
Objective To investigate the clinicopathological factors associated with pathological complete response(pCR)of axillary metastatic lymph nodes in breast cancer patients after neoadjuvant chemotherapy(NAC),and to analyze the postoperative survival.Methods A total of 116 patients with breast cancer with axillary lymph node metastasis were collected from Jiaxing Hospital of TCM,Jiaxing Maternity and Child Health Care Hospital and The First Hospital of Jiaxing.Univariate analysis was used to analyze the relationship between clinicopathological factors and the pCR of axillary lymph node metastasis in breast cancer after NAC.Binary Logistic regression was used to analyze the independent predictors of the pCR of axillary lymph node metastasis in breast cancer after NAC.Kaplan-Meier survival curve was used to analyze the disease-free survival rate and overall survival rate of patients with and non-pCR of axillary metastatic lymph nodes.Results Among 116 patients,52 cases of axillary metastatic lymph nodes achieved pCR after NAC,accounting for 44.83%.Univariate analysis showed that age,vascular invasion,pCR of primary breast tumor,the difference of Ki67 before and after NAC,NAC regimen,and the efficacy of NAC were statistically significant between breast cancer patients with pCR and those non-pCR(P<0.05).Binary Logistic regression analysis showed that age,vascular invasion and pCR of primary breast tumor were independent predictors of pCR of axillary metastatic lymph nodes(P<0.05).The 5-year disease-free survival rate(80.40%vs.54.60%)and overall survival rate(90.4%vs.70.10%)of patients with pCR and non-pCR of axillary metastatic lymph nodes were compared.Conclusion Some breast cancer patients with axillary lymph node metastasis can reach pCR in lymph nodes after NAC.Analyzing the correlation between clinical pathological factors and pCR of axillary metastatic lymph nodes after NAC,it was found that pCR of axillary metastatic lymph nodes after NAC is related to age≤50 years old,no vascular infiltration,and primary breast tumor pCR.At the same time,it was found that patients with axillary metastatic lymph node pCR had a better prognosis than those with non-pCR.
8.Application of Mitochondrial Targeting Strategy of Nano-delivery System in Tumor Diagnosis and Treatment
Jun QU ; Shuang YAN ; Long-Tian-Yang LEI ; Fei-Jun OUYANG ; Hai-Tao ZHANG ; Xu-Ping QIN
Progress in Biochemistry and Biophysics 2024;51(1):70-81
Tumor is one of the major diseases that endanger people’s health. At present, the treatments used for tumor include surgery, chemotherapy, radiotherapy and so on. Nonetheless, the traditional treatments have some disadvantages, such as insufficient treatment effect, liable to cause multidrug resistance, toxicity and side effect. Further research and exploration of tumor treatment schemes are still necessary. As the energy converter of cells, mitochondria are currently considered to be one of the most important targets for the design of new drugs for tumor, cardiovascular and neurological diseases. Nano-drug delivery carriers have the characteristics of being easily modified with active targeting groups, and it can achieve accurate targeted drug delivery to cells and organelles. This paper reviews the application of mitochondrial targeted nanoparticles in tumor diagnosis and treatment from the aspects of inhibiting tumor cell proliferation, promoting tumor cell apoptosis, inhibiting tumor recurrence and metastasis, and inducing cell autophagy.
9.Protective effect of dexamethasone on oxidative damage and apoptosis of lung epithelial cells induced by ozone black carbon
Xian-Yan XU ; Qin LI ; Li WANG ; Zhao-Jun XU
The Chinese Journal of Clinical Pharmacology 2024;40(8):1145-1149
Objective To study the apoptosis and mechanism of lung epithelial cells induced by exposure to ozone oxidized black carbon(OBC)and explore the therapeutic effect of dexamethasone.Methods A549 cells were divided into seven groups:control group,dexamethasone group and 0,6.5,12.5,25.0,50.0 μg·mL-1OBC treatment groups.All cells were cultured for 24 h.Cell counting kit-8(CCK-8)was used to detect the survival rate of cells.Immunofluorescence was used to detect the activity of reactive oxygen species.Annexin V-FITC/PI two-color fluorescent dye Notation was used to detect apoptotic cells.Real-time quantitative polymerase chain reaction(PCR)was used to detect the expression level of P53,B-cell lymphoma-2(Bcl-2),cysteinyl aspartate specific proteinase-3(caspase-3)mRNA.Western blot was used to detect the expression level of P53,Bcl-2,caspase-3 protein.Results The cell survival rates of 50.0 μg·mL-1 OBC treatment group,control group and dexamethasone group were(12.64±2.45)%,(100.00±0.00)%and(42.39±2.50)%;the reactive oxygen species were(147.00±5.65),(42.82±2.50)and(94.40±4.30)MFI;the apoptosis rates of epithelial cells were(40.50±3.52)%,(5.02±1.15)%and(21.58±2.35)%;the expression of P53 mRNA were 3.81±0.22,1.04±0.02 and 2.03±0.08;the equivalent expression levels of P53 protein were 0.54±0.06,0.14±0.02 and 0.33±0.03.The above indicators in 50.0 μg·mL-1 OBC treatment group showed statistically significant differences compared with control group and dexamethasone group(all P<0.05).Conclusion OBC exposure leads to oxidative damage of lung epithelial cells and activates their apoptosis related pathways,while dexamethasone has shown good therapeutic effects in vitro experiments.
10.A comparative evaluation of the role of musculoskeletal ultrasound in diagnosing symptomatic joint lesions in patients with rheumatoid arthritis and gouty arthritis
Peiyao WANG ; Shengqian XU ; Danqing HE ; Yang CEN ; Yangyang QIN ; Jun LI ; Liping SHAO ; Meng HUANG
Acta Universitatis Medicinalis Anhui 2024;59(5):880-884
Objective To compare the ultrasound signs of symptomatic joint lesions in rheumatoid arthritis (RA) and gouty arthritis (GA), musculoskeletal ultrasound (MSUS) was utilized.Methods A retrospective analysis was performed for 85 hospitalized patients with RA and 55 hospitalized patients with GA in the same period, and the differences in general data, diseased joints and ultrasound signs between the two groups were compared.Re-sults The gender, age and diseased joints of the two groups were statistically significant (all P<0.05).The de-tection rate of knee joint lesions was the highest;the RA group had high sensitivity, high specificity of meniscal in-jury, and high diagnostic efficiency of bone erosion, while the diagnostic performance of the three combined ultra-sound signs of punctate strong echo, double track sign and tophi in the GA group was higher than that of any indi-vidual diagnosis, and the sensitivity and specificity were also higher.The course of disease in the RA group was positively correlated with bone erosion (P<0.05) , and the course in the GA group was positively correlated with tophi (P<0.05).Conclusion The ultrasound signs of RA and GA are different, and MSUS has good value in the diagnosis and differential diagnosis of the two.


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