Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.

Polycystic ovary syndrome is a common condition among women of childbearing age that seriously affects their physical and mental health. The pathogenesis of polycystic ovary syndrome is complex, involving multiple factors, such as genetics, endocrine function, metabolism, and inflammation. Various treatment methods for polycystic ovary syndrome are available, including lifestyle interventions, medication therapy, ovulation induction therapy, and surgical treatment. Each of these approaches requires individualized treatment plans tailored to the specific circumstances of the patient. With the continuous advancement of research, it is believed that more effective treatment methods will emerge, leading to better outcomes for patients with polycystic ovary syndrome. This paper aims to provide a review of the pathogenesis and treatment research progress of polycystic ovary syndrome.

Objective To explore the value of time-dependent diffusion MRI(td-dMRI)parameters for differentiating invasive breast cancer(IBC)with ductal carcinoma in situ(DCIS)(IBC-DCIS)from simple IBC.Methods A total of 19 patients with IBC-DCIS(IBC-DCIS group)and 53 patients with simple IBC(IBC group)confirmed by surgery and postoperation pathology were retrospectively enrolled.Breast td-dMRI acquired with oscillating gradient spin-echo(OGSE)and pulsed gradient spin-echo(PGSE)sequences before operation were interpreted,and apparent diffusion coefficient(ADC)and microstructure parameters,including OGSE-ADC value,PGSE-ADC value,cellularity,cell diameter,intracellular volume fraction and extracellular diffusion coefficient were obtained and compared between groups.Receiver operating characteristic(ROC)curves of parameters being significantly different between groups were plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of these parameters for differentiating IBC-DCIS from IBC.Results Significant differences of OGSE-ADC value,PGSE-ADC value,cellularity,cell diameter,intracellular volume fraction and extracellular diffusion coefficient were found between groups(all P＜0.05).The AUC of the above parameters for differentiating IBC-DCIS from IBC was 0.81,0.79,0.78,0.68,0.77 and 0.81,respectively.Conclusion td-dMRI parameters could be used to noninvasively and effectively differentiate IBC-DCIS from simple IBC.

Objective To explore the value of time-dependent diffusion MRI(td-dMRI)parameters for differentiating invasive breast cancer(IBC)with ductal carcinoma in situ(DCIS)(IBC-DCIS)from simple IBC.Methods A total of 19 patients with IBC-DCIS(IBC-DCIS group)and 53 patients with simple IBC(IBC group)confirmed by surgery and postoperation pathology were retrospectively enrolled.Breast td-dMRI acquired with oscillating gradient spin-echo(OGSE)and pulsed gradient spin-echo(PGSE)sequences before operation were interpreted,and apparent diffusion coefficient(ADC)and microstructure parameters,including OGSE-ADC value,PGSE-ADC value,cellularity,cell diameter,intracellular volume fraction and extracellular diffusion coefficient were obtained and compared between groups.Receiver operating characteristic(ROC)curves of parameters being significantly different between groups were plotted,and the area under the curve(AUC)was calculated to evaluate the efficacy of these parameters for differentiating IBC-DCIS from IBC.Results Significant differences of OGSE-ADC value,PGSE-ADC value,cellularity,cell diameter,intracellular volume fraction and extracellular diffusion coefficient were found between groups(all P＜0.05).The AUC of the above parameters for differentiating IBC-DCIS from IBC was 0.81,0.79,0.78,0.68,0.77 and 0.81,respectively.Conclusion td-dMRI parameters could be used to noninvasively and effectively differentiate IBC-DCIS from simple IBC.

Polycystic ovary syndrome is a common condition among women of childbearing age that seriously affects their physical and mental health. The pathogenesis of polycystic ovary syndrome is complex, involving multiple factors, such as genetics, endocrine function, metabolism, and inflammation. Various treatment methods for polycystic ovary syndrome are available, including lifestyle interventions, medication therapy, ovulation induction therapy, and surgical treatment. Each of these approaches requires individualized treatment plans tailored to the specific circumstances of the patient. With the continuous advancement of research, it is believed that more effective treatment methods will emerge, leading to better outcomes for patients with polycystic ovary syndrome. This paper aims to provide a review of the pathogenesis and treatment research progress of polycystic ovary syndrome.

Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.

Objective To investigate the expression and significance of the CYB561D2 gene in the prognostic evaluation of patients with glioma based on bioinformatics analysis. Methods A total of 78 pathological specimens were collected from the patients with glioma who received surgical treatment in Department of Neurosurgery，Anqing Municipal Hospital，from October 2018 to December 2022 and were enrolled as experimental group，and 32 specimens of normal brain tissue that must be removed during the surgical pathway were enrolled as control group. Quantitative real-time PCR and immunohistochemistry were used to measure the mRNA and protein expression levels of the CYB561D2 gene in both groups. Results The CYB561D2 gene was highly expressed in the glioma tissue of the patients in the experimental group，and the pathological grade of the tumor increased with the increase in the expression of the CYB561D2 gene，while there were no significant mRNA and protein expression levels of the CYB561D2 gene in the control group，with significant differences between the two groups（χ2=2.75 and 2.19，P<0.05）. Conclusion There are significant increases in the mRNA and protein expression levels of the CYB561D2 gene in glioma，suggesting that CYB561D2 is associated with the development，progression，and malignancy of glioma.
Glioma

Objective To explore the application value of simultaneous multi-slice(SMS)technique in diffusion tensor imaging(DTI)for evaluating brain glioma.Methods Thirty-four brain glioma patients were prospectively enrolled,and brain conventional DTI and SMS-DTI were acquired.The subjective scores of image quality,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were compared between SMS-DTI and conventional DTI,so were the numbers of whole brain fiber bundles,tumor relative fractional anisotropy(rFA)and relative mean diffusivity(rMD)obtained based on SMS-DTI and conventional DTI.Results Among 34 patients,there were 23 cases of high-grade glioma and 11 cases of low-grade glioma.No significant difference of subjective scores of image quality,tumor edge clarity nor magnetic susceptibility artifacts was found between SMS-DTI and conventional DTI(all P＞0.05).SNR and CNR on SMS-DTI were both lower than those on conventional DTI(both P＜0.05).No significant difference of the numbers of whole brain fiber bundles,rFA nor rMD of gliomas with different pathological grades was detected based on SMS-DTI compared with those on conventional DTI(all P＞0.05).Conclusion SMS applicated in DTI for evaluating brain gliomas was able to shorten acquisition time under the condition of ensuring image quality and quantitative analysis accuracy.

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide and is a global health challenge. Radical surgical resection is the most effective method to achieve long-term survival for HCC. Regrettably, the vast majority of HCC patients lose the opportunity for radical resection at the time of diagnosis due to advanced tumors or poor liver reserve capacity. HCC is resistant to conventional chemotherapy, and in the past, there have been no definite and effective systemic therapeutic drugs. Fortunately, over the last decade, the research and development of molecular targeted therapy and immunotherapy drugs for HCC have made rapid progress, and a variety of drugs and combination therapy regimens have been successively approved for clinical use. However, the overall therapeutic effect is still not ideal and needs further improvement.