1.Modified Yacoub technique for patients with aortic root aneurysm
Hongjia MA ; Qianlei LANG ; Chaoyi QIN ; Hong QIAN ; Zhenghua XIAO ; Wei MENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):611-614
Objective To evaluate the feasibility and safety of Remodeling+Ring (modified Yacoub) for patients with aortic root aneurysm. Methods The clinical data of patients who underwent modified Yacoub surgery at West China Hospital of Sichuan University from July 2020 to May 2023 were retrospectively analyzed. Results Four male patients were enrolled, with an average age of (47.3±10.3) years and body surface area of (1.9±0.2) m2. One patient had bicuspid aortic valve. Aortic valve regurgitation was mild in three patients and moderate in one patient. Preoperative New York Heart Association (NYHA) heart function was gradeⅠin one patient and gradeⅡin three patients. The maximum diameter of the aortic sinus was (59.3±8.1) mm. All four patients recovered and were discharged without a second thoracotomy. No postoperative complications such as brain injury, infection, respiratory failure or renal insufficiency occurred. During the follow-up of (17.0±13.1) months, two patients showed no regurgitation of the aortic valve, two patients exhibited mild regurgitation. Three patients had a heart function of gradeⅠ and one patient of gradeⅡ. Conclusion Modified Yacoub technique is safe and effective for patients with aortic root aneurysm.
2.Efficacy of mouse injectable murine nerve growth factor combined with prednisone in the treatment of IFP
Yan LANG ; Yunfeng QIN ; Yinjie LING
China Modern Doctor 2025;63(23):54-57
Objective To investigate the efficacy of murine nerve growth factor for injection combined with prednisone in the treatment of children with idiopathic facial palsy(IFP).Methods A total of 170 children with IFP admitted to Huzhou First People's Hospital between April 2022 and June 2023 were selected as subjects.The children were divided into control group(n=85)and experimental group(n=85)by lottery method.The control group was treated with prednisone,and the experimental group was treated with mouse injectable murine nerve growth factor+prednisone.The clinical efficacy,neurotrophic factor levels,red blood cell immune function,facial nerve function,and adverse reactions were compared between two groups.Results The total effective rate in experimental group was significantly higher than that in control group(P<0.05).After treatment,the experimental group demonstrated greater levels of nerve growth factor,glial cell-derived neurotrophic factor(GDNF),red blood cell C3b receptor ring formation rate,compared to control group.the experimental group showed lower levels of red blood cell immune complex ring rate and H-B grade scale scores(P<0.05).Conclusion The combination of mouse nerve growth factor and prednisone injection has a remarkable effect on IFP patients,improving GDNF level and red blood cell immune function,improving facial nerve function and high safety.
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.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.
7.Principles and Methods of Using Metering Unit in National Technical Specification of Medical Service Items(Version 2023)
Jingjing LANG ; Jinming KONG ; Lihua YU ; Huanhuan CHANG ; Xingyu YANG ; Hailong ZHOU ; Qin JIANG
Chinese Health Economics 2025;44(7):10-12,15
Metering unit is important component of medical service items and also serve as significant bases for scientifically estimating the costs of medical services.National Technical Specification of Medical Service Items(2023 Edition)has set up elements such as"metering unit"and"adjustment coefficient for resource consumption in special circumstances",which clearly stipulate the metering units of each medical service item and the multiples for discretionary increases or decreases in the overall resource consumption when special circumstances occur.These two elements are important references for the cost accounting in medical institutions.The project team has elaborated on the definitions,establishment principles and special circumstances of these two types of elements,namely"metering units"and"adjustment coefficient for resource consumption in special circumstances",providing references for the application of relevant governments and healthcare institutions.
8.The Rationale and Implementation of the Financial Classification of Medical Service Items
Xingyu YANG ; Lihua YU ; Huanhuan CHANG ; Jingjing LANG ; Qin JIANG
Chinese Health Economics 2025;44(7):16-18
As an important indicator to assess the revenue structure of hospitals,healthcare service revenue can truly reflect the labor value of medical personnel.A unified financial classification is the premise of accurate calculation of revenue structure.Meeting the needs of financial management of medical institutions through mapping with current healthcare service items in various regions,Financial Classification of Medical Service Items has unified the financial classification from the aspects of bill classification,accounting subject and expense classification in medical record.
9.Design and Application Prospect of Item Codes in National Technical Specification of Medical Service Items(Version 2023)
Xingyu YANG ; Lihua YU ; Huanhuan CHANG ; Hailong ZHOU ; Jingjing LANG ; Jinming KONG ; Qin JIANG
Chinese Health Economics 2025;44(7):4-6
The assignment of the"item code"element in National Technical Specification of Medical Service Items(Version 2023)continues the classification framework and coding rules of National Specification of Medical Service Price Items(Version 2012).The project team experts are members of the WHO-Family of International Classifications(WHO-FIC)China Classification,Terminology and Standards Collaborating Center.The design concept of project coding is the same as that of the International Classification of Health Interventions(ICHI).Both adopt an alphanumeric characters hybrid coding classification method based on multi-axis classification,clarified the definition and scope of these four key classification axis which including anatomy system,anatomical site,surgical procedure and surgical approach,and optimize and update item property,sub-classifications and coding.Unified medical service item code can make contribution to the comparability of statistics related to health care items across regions,promote cross-regional healthcare and healthcare insurance settlement at the national level;improve its refined management level in hospital,and play an important role in performance management and data statistical analysis.
10.Effect of electroacupuncture on lipophagy in hepatocytes in a hyperlipidemia rat model
Manqi LIU ; Lang QIN ; Xinyao SUN ; Shirong XU ; Houyu TAO ; Chuan HE ; Xiaoli PAN ; Hongxing ZHANG
Journal of Beijing University of Traditional Chinese Medicine 2025;48(11):1608-1618
Objective To explore the mechanism of electroacupuncture in alleviating hyperlipidemia in a rat model by modulating mammalian target of rapamycin complex 1(mTORC1)-mediated lipophagy in hepatocytes.Methods A total of 30 SD rats were randomly divided into blank(n=6)and modeling groups(n=24)using the random number table method.A hyperlipidemic rat model was established by feeding rats a high-fat diet(feeding for 8 weeks).After successful modeling,the modeling group was randomly divided into the model,electroacupuncture,mTORC1 inhibitor,and electroacupuncture+mTORC1 agonist groups,with six rats in each group.Except for the blank group,all other rats were fed with high fat diet.Rats in the electroacupuncture and electroacupuncture+mTORC1 agonist groups received electroacupuncture intervention at bilateral"Fenglong"(ST40)acupoints(dilatational wave 2 Hz/100 Hz,current intensity 1 mA)for 30 min once daily.Rats in the mTORC1 inhibitor group received intraperitoneal injections of the mTORC1 inhibitor,rapamycin(2 mg/kg),once daily.Rats in the electroacupuncture+mTORC1 agonist group received intraperitoneal injections of the mTORC1 agonist MHY1485(10 mg/kg)once daily.The interventions were administered for five consecutive days per week for 4 weeks.Upon completion of the intervention,the following analyses were performed:serum contents of total cholesterol(TC),triglycerides(TAG),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),free fatty acids(FFA),alanine aminotransferase(ALT),and aspartate aminotransferase(AST)were measured using a fully automated biochemical analyzer.Hepatic histopathological changes and lipid deposition were observed using hematoxylin-eosin and oil red O staining.The liver condition was observed and the liver index was calculated.Hepatic TC and TAG levels were measured using an enzyme-linked immunosorbent assay.The ultrastructure of the liver tissue was observed using transmission electron microscopy,and the mean fluorescence intensity of perilipin 2(PLIN2)and microtubule-associated protein 1 light chain 3(LC3)-Ⅱ in the liver tissue was detected using immunofluorescence.Protein expression of LC3-Ⅱ/LC3-Ⅰ,phosphorylated mammalian target of rapamycin(p-mTOR)/mTOR,and mTORC1 in liver tissue was detected using Western blotting.Results Compared to the blank group,the model group rats showed increased serum TC,TAG,LDL-C,ALT,AST,and FFA levels,along with decreased HDL-C levels(P<0.05).The liver index and hepatic TC and TAG levels were also elevated(P<0.05).Histological examination of liver tissue revealed substantial lipid accumulation,numerous lipid droplets within hepatocytes,abnormal mitochondrial morphology,and scarce autophagic vacuole.The mean fluorescence intensity of PLIN2 increased,whereas that of LC3-Ⅱ decreased(P<0.05).Additionally,the LC3-Ⅱ/LC3-Ⅰ ratio was reduced,whereas the p-mTOR/mTOR ratio and mTORC1 protein expression were increased(P<0.05).Compared to the model group,rats in the mTORC1 inhibitor and electroacupuncture groups exhibited decreased serum TC,TAG,LDL-C,ALT,AST,and FFA levels(P<0.05),along with a reduced liver index and hepatic TC and TAG levels(P<0.05).Histological examination showed markedly attenuated lipid accumulation and visible autophagic vacuole in the hepatocytes.The mean fluorescence intensity of PLIN2 decreased,whereas that of LC3-Ⅱ increased(P<0.05).Moreover,the LC3-Ⅱ/LC3-Ⅰ ratio increased,whereas the p-mTOR/mTOR ratio and mTORC1 protein expression decreased(P<0.05).In comparison with both the electroacupuncture and mTORC1 inhibitor groups,the electroacupuncture+mTORC1 agonist group demonstrated increased serum TAG,TC,LDL-C,ALT,AST,and FFA levels(P<0.05)as well as elevated liver index and hepatic TC and TAG levels(P<0.05).Liver tissues exhibited aggravated lipid deposition and absence of autophagic vacuole in liver cells.The mean fluorescence intensity of PLIN2 was enhanced,whereas that of LC3-Ⅱ was reduced(P<0.05).Furthermore,the LC3-Ⅱ/LC3-Ⅰ ratio decreased,and the p-mTOR/mTOR ratio and mTORC1 protein expression increased(P<0.05).Conclusion Electroacupuncture at"Fenglong"(ST40)may improve blood lipid levels in hyperlipidemic rats by inhibiting mTORC1 and promoting hepatocyte lipophagy.

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