Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

Objective: This study investigated the value of multiparametric MRI (mpMRI) in predicting Gleason score (GS) upgrading and downgrading in radical prostatectomy (RP) compared with presurgical biopsy. Materials and Methods: Clinical and mpMRI data were retrospectively collected from 219 patients with prostate disease between January 2015 and December 2021. All patients underwent systematic prostate biopsy followed by RP. MpMRI included conventional diffusion-weighted and dynamic contrast-enhanced imaging. Multivariable logistic regression analysis was performed to analyze the factors associated with GS upgrading and downgrading after RP. Receiver operating characteristic curve analysis was used to estimate the area under the curve (AUC) to indicate the performance of the multivariable logistic regression models in predicting GS upgrade and downgrade after RP. Results: The GS after RP was upgraded, downgraded, and unchanged in 92, 43, and 84 patients, respectively. The AUCs of the clinical (percentage of positive biopsy cores [PBCs], time from biopsy to RP) and mpMRI models (prostate cancer [PCa] location, Prostate Imaging Reporting and Data System [PI-RADS] v2.1 score) for predicting GS upgrading after RP were 0.714 and 0.749, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, tPSA, PCa location, and PIRADS v2.1 score) was 0.816, which was larger than that of the clinical factors alone (P < 0.001). The AUCs of the clinical (age, percentage of PBCs, ratio of free/total PSA [F/T]) and mpMRI models (PCa diameter, PCa location, and PI-RADS v2.1 score) for predicting GS downgrading after RP were 0.749 and 0.835, respectively. The AUC of the combined diagnostic model (age, percentage of PBCs, F/T, PCa diameter, PCa location, and PI-RADS v2.1 score) was 0.883, which was larger than that of the clinical factors alone (P < 0.001). Conclusion Combining clinical factors and mpMRI findings can predict GS upgrade and downgrade after RP more accurately than using clinical factors alone.

With the rapid development of society and the improvement of Western medicine,the average life expectancy of the Chinese population has steadily increased. Since the beginning of the 21th century,China has officially entered an aging society and is currently in a phase of rapid growth in the elderly population. The effective management and improvement of the health levels of the elderly have become urgent issues that society needs to address. Traditional Chinese medicine (TCM),rooted in Chinese traditional culture,has developed a rich system of health preservation through thousands of years of historical practice,which has important guiding significance in actively coping with the aging of the population. This article discusses the historical evolution of the theory of health preservation in TCM,the interpretation of aging mechanisms by TCM,and the strategies for elderly health preservation from the perspective of TCM. By exploring TCM health preservation concepts,a theoretical framework for the health care of the elderly is constructed,so as to provide a scientific basis for their health management.

Objective To investigate the efficacy and safety of hybrid surgery for the recanalization of carotid artery occlusion after stenting.Methods Clinical data and results of 17 patients with occlusion after carotid artery stenting and treated with hybrid surgery from June 2016 to April 2023 at the Department of Neurosurgery Cerebral Blood Flow Reconstruction Center of Xuanwu Hospital,Capital Medical University were retrospectively analyzed.According to whether the recanalization was successful,17 patients were divided into the the successful recanalization group and the failed recanalization group.Successful recanalization was defined as achieving modified thrombolysis in cerebral infarction(mTICI)grade ≥2b and residual stenosis＜50％.Baseline data(age,sex,body mass index,smoking history,alcohol consumption history,hypertension history,diabetes history,hyperlipidemia history,coronary heart disease history),clinical data(National Institutes of Health Stroke Scale[NIHSS]score at admission,fasting blood glucose,low density lipoprotein,high density lipoprotein,total cholesterol,triglyceride,occlusion side and segment,combination with severe stenosis or occlusion of the contralateral carotid artery,opening of the anterior communicating artery,opening of the posterior communicating artery,compensation of the external and internal carotid artery,compensation of the pia artery,stump morphology,and time from imaging diagnosis of occlusion to recanalization)were documented and compared between groups.The recanalization of occlusive vessels and perioperative complications were recorded.Imaging and clinical follow-up were performed 3,6 months and≥1 year after surgery.Results Among the 17 patients,the ratio of successful recanalization was 13/17.One patient had re-occlusion after operation,which was re-opened after thrombolysis,but neck hematoma with dyspnea occurred,and recovered after emergency operation.There was no postoperative stroke or death.The incidence of perioperative complications was 1/17.Compared with the successful recanalization group,the levels of high density lipoprotein and total cholesterol in the failed recanalization group were higher,and the differences between the groups were statistically significant(high density lipoprotein[1.3±0.3]mmol/L vs.[0.9±0.3]mmol/L,t=-2.139;total cholesterol:[4.2±0.8]mmol/L vs.[3.1±0.7]mmol/L,t=-2.649;both P＜0.05);There were no significant differences in other baseline data and clinical data(all P＞0.05).Imaging follow-up was completed in 9 of the 13 patients in the successful recanalization group,and the follow-up time was 3.8-36.9 months,with a median follow-up time of 22.8(12.8,34.7)months.Among them,1 patient(1/9)developed restenosis of recanalization vessels at 33.0 months after surgery and underwent stent implantation again.Conclusions The preliminary analysis showed that the occlusion after carotid artery stenting had better recanalization success and lower perioperative complications.In patients with chronic occlusion after carotid stenting,the application of a hybrid surgery for opening may be attempted under multimodal imaging assessment.

OBJECTIVE To eval uate the effectiveness ，safety and economy of deferasir ox for the treatment of iron overload in thalassemia with rapid health technology assessment ，and to provide evidence-based basis for rational clinical use. METHODS Retrieved from Chinese and English database/website as PubMed ，Embase，Cochrane Library ，NHS EED ，CADTH，CNKI and Wanfang database ，health technology assessment （HTA），systematic evaluation/meta-analysis and pharmacological studies about deferasirox versus deferoxamine/deferiprone for the treatment of iron overload in thalassemia were collected from the inception to June 2021. Based on literature screening and data extraction ，the quality of literature about HTA reports ，systematic evaluation/ Meta-analysis and pharmacoeconomic research were evaluated with HTA checklist ，A Measurement Tool to As sess Systematic Reviews，standard scale of economic evaluation report. The effectiveness and safety results were described quantitatively ，and the economic evaluation results were described qualitatively. RESULTS One HTA report ，five systematic evaluation/meta-analysis and five pharmacoeconomic studies were selected from 1 569 literature. Included HTA reports ， systematic evaluation/meta-analysis，pharmacoeconomic studies were high in quality. Most studies reported that 30 mg/（kg·d） deferasirox was E-mail：aydgs@126.com better than deferoxamine in reducing the levels of s erum ferritin and liver iron overload ；ADR induced by deferasirox were mainly gastrointestinal irritation symptoms ，skin itching ，joint pain，transaminase elevation ，etc.，which generally did not affect subsequent treatment. There was no statistical significance in severe ADR between deferoxamine group and deferasirox group [RR ＝0.96，95％CI（0.85，1.08），P＝0.52]. Compared with deferoxamine，deferasirox had higher cost-effectiveness ；but deferasirox was less likely to be cost-effective than deferiprone. CONCLUSIONS Deferasirox has good effectiveness and safety for iron overload in thalassemia ，and has good economic advantages in Britain and Iran ，compared with deferoxamine.

Active exploratory behaviors have often been associated with theta oscillations in rodents, while theta oscillations during active exploration in non-human primates are still not well understood. We recorded neural activities in the frontal eye field (FEF) and V4 simultaneously when monkeys performed a free-gaze visual search task. Saccades were strongly phase-locked to theta oscillations of V4 and FEF local field potentials, and the phase-locking was dependent on saccade direction. The spiking probability of V4 and FEF units was significantly modulated by the theta phase in addition to the time-locked modulation associated with the evoked response. V4 and FEF units showed significantly stronger responses following saccades initiated at their preferred phases. Granger causality and ridge regression analysis showed modulatory effects of theta oscillations on saccade timing. Together, our study suggests phase-locking of saccades to the theta modulation of neural activity in visual and oculomotor cortical areas, in addition to the theta phase locking caused by saccade-triggered responses.
Animals ; Frontal Lobe/physiology* ; Macaca mulatta ; Neurons/physiology* ; Saccades ; Theta Rhythm ; Visual Fields