Background and Aims:Surgical treatment is a cornerstone of breast cancer management;however,the physical trauma and psychological burden associated with surgery may adversely affect patients'quality of life(QoL).Based on data from a prospective cohort,this study was conducted to evaluate changes in postoperative QoL among breast cancer patients and to identify mediating factors influencing QoL,thereby providing evidence for perioperative rehabilitation strategies.Methods:Female breast cancer patients who underwent local surgical treatment at Suining Central Hospital between June 2024 and January 2025 were enrolled.The Constant-Murley Shoulder Score,EORTC QLQ-C30,and QLQ-BR23 questionnaires were used pre-and postoperatively to assess shoulder joint function,and QoL.Paired t-tests were used to analyze changes in scores before and after surgery.A mediation model was applied to explore the indirect pathways through which surgery impacts QoL.Additionally,subgroup analyses were conducted to compare QoL changes across different surgical modalities.Results:A total of 148 patients were included,with median age of 54(46-60)years old Postoperative psychological health significantly improved,while shoulder function and overall QoL scores markedly declined(all P<0.001).According to QLQ-C30,functional domains such as physical and role functioning worsened,while symptom burden increased.The QLQ-BR23 revealed significantly higher scores for breast and upper limb symptoms postoperatively(both P<0.001).Subgroup analyses showed that patients undergoing axillary lymph node dissection experienced greater declines in shoulder function and QoL compared to those receiving sentinel lymph node biopsy(both P<0.05).QoL deterioration was comparable between mastectomy and breast-conserving surgery,although the former was associated with more prominent pain and breast symptoms.Mediation analysis indicated that shoulder function,breast symptoms,and physical functioning served as mediators in the impact of surgery on QoL,while better psychological health exerted a protective effect.Conclusion:Surgical treatment significantly affects postoperative QoL in breast cancer patients,with local functional impairment and symptom exacerbation serving as key mediators.Different surgical approaches have varying impacts on QoL.Enhancing postoperative shoulder rehabilitation,symptom management,and psychological support may improve patients'QoL.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Objective:Systematically review the release status and characteristics of policies related to cross-regional medical insurance settlement policies in China,providing reference for promoting the convenience of medical insurance settlement services and improving management efficiency.Methods:Using content analysis,a two-dimensional framework of"policy objectives-policy tools"was constructed.A total of 127 policy documents were coded and analyzed.Results:Demand-based tools were applied most frequently(43.6%),followed by environmental and supply-based tools.Policy objectives mainly focused on improving service convenience,supported by expanding coverage and ensuring regulatory security.Conclusions:China's cross-regional medical insurance settlement policies have improved service accessibility and strengthened institutional supervision while gradually expanding coverage.However,deficiencies remain in assessment refinement and emergency mechanisms.Greater interdepartmental coordination is needed to enhance regulatory linkage and ensure the safe operation of medical insurance funds.

Objective:To observe and analyze the correlation between ectopic foveal inner layer (EIFL) and the EIFL-based idiopathic epiretinal membrane (ERM) staging system and the anatomic and functional prognosis of ERM eyes post pars plana vitrectomy (PPV).Methods:A retrospective study. From January 1, 2020 to October 30, 2023, 345 eyes of 330 patients diagnosed with idiopathic ERM in Department of Ophthalmology of Peking University People's Hospital and treated with standard transciliary flat three-channel 25G PPV combined with ERM and internal limiting membrane exfoliation were included in the study. Among them, 96 were males (111 eyes) and 234 were females (234 eyes). The mean age was (66.8±7.7) years. All study eyes received standard three-port 25G PPV combined with ERM and internal limiting membrane peeling. All study eyes underwent best corrected visual acuity (BCVA) and optical coherence tomography (OCT) examinations. BCVA was performed using a standard logarithmic visual acuity chart and converted to logarithm of the minimum angle of resolution visual acuity for statistical analysis. EIFL thickness and central foveal thickness (CFT) on OCT were measured. ERM eyes were grouped into stage Ⅰ, Ⅱ, Ⅲ and Ⅳ according to ERM staging scheme based on EIFL; disorganization of the retinal inner layers (DRIL) of study eyes were assessed and grouped into no, mild and severe groups. The correlation between ERM staging as well as EIFL thickness and the anatomical and functional prognosis 6 months post-PPV were analyzed.Results:Among 345 study eyes, 12, 87, 174 and 72 eyes were stage Ⅰ-Ⅳ ERM respectively, 63 with no DRIL, 216 with mild DRIL and 66 with severe DRIL. Among the 153 eyes with macular edema, the edema subsided in 66 eyes (43.1%, 66/153) 6 months after the operation. Eighty-seven eyes (56.9%, 87/153) did not regress. The edema subsided 6 months after the operation was not significantly correlated with the ERM stage before the operation ( χ2=3.331, R=?0.145, P=0.304) or the degree of DRIL ( χ2=0.655, R=?0.108, P=0.445). The results of the correlation analysis showed that logMAR BCVA 6 months after the surgery was positively correlated with the degree of DRIL before the surgery ( Tau-b=0.236), ERM stage ( Tau-b=0.194), CFT ( r=0.383), and EIFL thickness ( r=0.317) ( P<0.05). There was no significant correlation with the thickness of the outer nuclear layer before the operation ( r=0.004, P>0.05). Preoperative ERM stage ( Tau-b=0.303, P<0.001) and DRIL severity ( Tau-b= 0.238, P=0.001) were positively correlated with CFT at 6 months after surgery. Conclusion:The ERM stage and EIFL thickness before the operation are positively correlated with logMAR BCVA and CFT 6 months after the operation.

Background and Aims:Surgical treatment is a cornerstone of breast cancer management;however,the physical trauma and psychological burden associated with surgery may adversely affect patients'quality of life(QoL).Based on data from a prospective cohort,this study was conducted to evaluate changes in postoperative QoL among breast cancer patients and to identify mediating factors influencing QoL,thereby providing evidence for perioperative rehabilitation strategies.Methods:Female breast cancer patients who underwent local surgical treatment at Suining Central Hospital between June 2024 and January 2025 were enrolled.The Constant-Murley Shoulder Score,EORTC QLQ-C30,and QLQ-BR23 questionnaires were used pre-and postoperatively to assess shoulder joint function,and QoL.Paired t-tests were used to analyze changes in scores before and after surgery.A mediation model was applied to explore the indirect pathways through which surgery impacts QoL.Additionally,subgroup analyses were conducted to compare QoL changes across different surgical modalities.Results:A total of 148 patients were included,with median age of 54(46-60)years old Postoperative psychological health significantly improved,while shoulder function and overall QoL scores markedly declined(all P<0.001).According to QLQ-C30,functional domains such as physical and role functioning worsened,while symptom burden increased.The QLQ-BR23 revealed significantly higher scores for breast and upper limb symptoms postoperatively(both P<0.001).Subgroup analyses showed that patients undergoing axillary lymph node dissection experienced greater declines in shoulder function and QoL compared to those receiving sentinel lymph node biopsy(both P<0.05).QoL deterioration was comparable between mastectomy and breast-conserving surgery,although the former was associated with more prominent pain and breast symptoms.Mediation analysis indicated that shoulder function,breast symptoms,and physical functioning served as mediators in the impact of surgery on QoL,while better psychological health exerted a protective effect.Conclusion:Surgical treatment significantly affects postoperative QoL in breast cancer patients,with local functional impairment and symptom exacerbation serving as key mediators.Different surgical approaches have varying impacts on QoL.Enhancing postoperative shoulder rehabilitation,symptom management,and psychological support may improve patients'QoL.

Objective:To analyze the correlation between bone metabolism indicators,ultrasound quantitative parameters,and prediction of osteoporosis fracture risk assessment tool(FRAX)in elderly patients with osteoporosis(OP).Methods:A total of eighty elderly patients with OP who admitted to Wuxi Affiliated Hospital of Nanjing University of Chinese Medicine from December 2023 to December 2024 were selected.Based on the results of measuring bone quality by dual energy X-ray absorptiometry(DXA),they were divided into bone loss group(26 cases),moderate group(41 cases),and severe group(13 cases).All patients underwent measurements for N-terminal osteocalcin(N-MID OCN),total type I collagen N-terminal extended peptide(TP1NP),25 hydroxyvitamin D(25-OH VitD),parathyroid hormone(PTH),and β-collagen specific sequence(CROSSL)bone metabolism indicators when they were enrolled in groups.They underwent examinations of ultrasonic quantitative parameters included ultrasonic bone density(T value),ultrasound conduction velocity(SOS)and bone quality index(BQI),as well as FRAX prediction.The results of bone metabolism indicators,the examination of ultrasound quantitative parameter,and FRAX prediction were compared among the three groups of elderly patients with OP.Using Pearson linear correlation analysis analyzed the relationship among the three factors.Results:The N-MID OCN and 25-OH VitD levels in the severe group were lower respectively than those in the moderate group and the bone loss group,while the TP1NP,PTH,and CROSSL levels were higher than those in the moderate group and the bone less group,and the differences among the three groups were statistically significant(F=31.646,75.055,110.274,93.321,59.246,P<0.05).The T value,SOS,and BQI in the severe group were lower than those in the moderate group and the bone loss group,and the differences among the three groups were statistically significant(F=81.980,108.985,76.327,P<0.05).The levels of proximal humeral fracture(PHF)and postmenopausal osteoporosis fracture(PMOF)in the severe group were higher than those in the moderate group and the bone loss group,and the differences among the three groups were statistically significant(F=57.086,118.079,P<0.05).Pearson linear correlation analysis showed that the N-MID OCN and 25-OH VitD levels were positively correlated with T value,SOS,and BQI in elderly patients with OP(r=0.398,0.617,0.769,0.752,0.500,0.654,P<0.05),and were negatively correlated with PHF and PMOF(r=-0.504,-0.534,-0.572,-0.662,P<0.05).The TP1NP,PTH,CROSSL levels were negatively correlated with T value,SOS and BQI(r=-0.745,-0.751,-0.634,-0.733,-0.728,-0.569,-0.709,-0.648,-0.611,P<0.05),and were positively correlated with PHF and PMOF(r=0.612,0.558,0.602,0.700,0.695,0.740,P<0.05).Conclusion:The bone metabolism indicators of elderly patients with OP are correlated significantly with ultrasound quantitative parameters and FRAX prediction,which can be used as an important scheme in clinical assessment for bone strength and fracture risk.

Objective:Systematically review the release status and characteristics of policies related to cross-regional medical insurance settlement policies in China,providing reference for promoting the convenience of medical insurance settlement services and improving management efficiency.Methods:Using content analysis,a two-dimensional framework of"policy objectives-policy tools"was constructed.A total of 127 policy documents were coded and analyzed.Results:Demand-based tools were applied most frequently(43.6%),followed by environmental and supply-based tools.Policy objectives mainly focused on improving service convenience,supported by expanding coverage and ensuring regulatory security.Conclusions:China's cross-regional medical insurance settlement policies have improved service accessibility and strengthened institutional supervision while gradually expanding coverage.However,deficiencies remain in assessment refinement and emergency mechanisms.Greater interdepartmental coordination is needed to enhance regulatory linkage and ensure the safe operation of medical insurance funds.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

Mesangial cell proliferation is an early pathological indicator of diabetic nephropathy (DN). Growing evidence highlights the pivotal role of paired-related homeobox 1 (Prrx1), a key regulator of cellular proliferation and tissue differentiation, in various disease pathogenesis. Notably, Prrx1 is highly expressed in mesangial cells under DN conditions. Both in vitro and in vivo studies have demonstrated that Prrx1 overexpression promotes mesangial cell proliferation and contributes to renal fibrosis in db/m mice. Conversely, Prrx1 knockdown markedly suppresses hyperglycemia-induced mesangial cell proliferation and mitigates renal fibrosis in db/db mice. Mechanistically, Prrx1 directly interacts with the Yes-associated protein 1 (YAP) promoter, leading to the upregulation of YAP expression. This upregulation promotes mesangial cell proliferation and exacerbates renal fibrosis. These findings emphasize the crucial role of Prrx1 upregulation in high glucose-induced mesangial cell proliferation, ultimately leading to renal fibrosis in DN. Therefore, targeting Prrx1 to downregulate its expression presents a promising therapeutic strategy for treating renal fibrosis associated with DN.