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.

To establish a medical imaging teacher competency model and evaluate its application value in group teaching for undergraduates.

Objective This research aims to investigate the impact of Orff music therapy on long-term schizophrenic patients in hospitals.Methods The study was a randomized,single-blind controlled trial conducted from April,2023 to September,2023.From April to September 2023,sixty-eight individuals diagnosed with persistent schizophrenia were enrolled and evenly distributed into a pair of cohorts:a treatment group of thirty-four people receiving the intervention,and an equal number forming the control group for comparative purposes.Individuals enrolled in the experimental arm of the study were administered Orff-music therapy alongside routine rehabilitation treatment across a span of two months.For a period of 8 weeks,the control group was given only standard rehabilitation treatment,whereas the research group underwent Orff-music therapy in addition to the standard rehabilitation treatment.Results Before treatment,there were no significant differences in the positive and negative symptoms scale(PANSS),the inpatient psychosis rehabilitation observe scale(IPROS)and the personal and social performance scale(psp)between two groups.After intervention,the PANSS showed that the changes were better in the study group than in the control group in 3 indicators:negative symptoms(-3.20±4.13 vs.-0.17±2.43,P<0.001),general symptoms(-2.79±3.83 vs.-0.17±2.99,P=0.003)and the total scores(-5.88±6.36 vs.0.00±4.08,P<0.001),but not in positive symptoms(P>0.05).The IPROS showed that the performances of patients in the study group were better than the control group in terms of participation in work therapy(-0.82±2.08 vs.0.23±2.10,P=0.041),socialization(-0.59±1.94 vs.0.53±1.69,P=0.014)and ability to live(-0.94±2.50 vs.0.15±1.48,P=0.033),the changes in scores before and after the intervention were significantly different when compared to the control group.The PSP showed that the changes in scores before and after the treatment of the study group was better than the control group in terms of social activity[0(-1,0)vs.0(0,0),P=0.011],and self-care[0(-1,0)vs.0(-0.25,0),P=0.012]were better than the control group.Conclusion For long-term hospitalized patients with chronic schizophrenia.Orff-music therapy can be a powerful tool for alleviating mental issues,fostering social functioning,and enhancing rehabilitation results.

Background/Aims: It is a common belief that constipated patients have hard feces that contributes to the difficulties defecating. To the best of our knowledge, no studies had been published on controlled evacuation of simulated feces with different consistencies. Methods: Twelve normal subjects were recruited for studies with the simulated feces device “Fecobionics” of different consistency (silicone shore 0A-40A corresponding to Bristol stool form scale types 2-4). The subjects filled out questionnaires and had the balloon expulsion test and anorectal manometry done for reference. The Fecobionics probes were inserted in rectum in random order with +20 minutes between insertions. The bag was filled to urge-to-defecate and evacuations took place in privacy. Non-parametric statistics with median and quartiles are provided. Results: One subject was excluded due to technical issues, and another had abnormal anorectal manometry–balloon expulsion test. The 4 females/6 males subjects were aged 23 (range 20-48) years. Most differences were observed between the 0A and 10A probe (duration, maximum bag pressure, duration x maximum bag pressure, and relaxation of the front pressure and the bend angle during evacuation), eg, the duration was 9 (8-12) seconds at 0A and 18 (12-21) seconds at 10A (P < 0.05), and maximum bag pressure was 107 (96-116) cmH 2 O at 0A and 140 (117-162) cmH 2 O at 10A (P < 0.05). The bend angle before evacuation differed between the probes whereas only the 10A differed from 40A during defecation. The 10A was harder to evacuate than the 0A probe. Except for the bend angles, no further significant change was observed from 10A to 40A. Conclusion Fecal consistency affects defecatory parameters.

Objective:To observe the effect of mechanical vibration on the expression of microRNA-214-3p and serum interleukin-1β (IL-1β) in the broken ends of fractured bones in ovariectomized rats.Methods:Thirty 3-month-old female Wistar rats were randomly divided into a control group, a model group, and a vibration group, each of 10. An operation of ovariotomy was performed in those of the model and vibration groups to establish osteoporosis model. Five months later a model of mid femur fracture was made with animals in all the groups. Five days after their fracture, the vibration group received 20 minutes of whole-body vibration treatment at 35Hz for 5 days a week, while the control group and the model group received natural rearing without any additional intervention At 2 and 6 weeks after the operation, the Lane-Sandhu X-ray scoring system was used to evaluate the quality of fracture healing, and reverse-transcription polymerase chain reactions and enzyme-linked immunosorbent assays were used to detect miR-214-3p in the fractured bones and the serum levels of IL-1β.Results:At 2 weeks and 6 weeks after the operation the average growth score of the broken ends in the model group was significantly lower than that of the control group, while that of the vibration group was significantly higher than the model group′s average. Compared with the control group at the same time point, the average miR-214-3p content of the model and vibration groups was significantly higher 2 and 6 weeks after the surgery. Compared with the model group, the average level of miR-214-3p of the fractured ends of the vibration group was significantly lower at 6 weeks. Two and six weeks after the surgery, the average IL-1β of the model group was significantly higher than the control group′s average, and that of the vibration group was significantly lower.Conclusion:Mechanical vibration can promote osteoporotic fracture healing by inhibiting the expression of miR-214-3p and reducing the level of IL-1β at the broken ends of fractured bones.

Objective : To compare the clinical effect of the reconstruction of defects of the surgical area with the facial-submental artery island flap (FSAIF) after resection of oral cavity squamous cell carcinoma (OC-SCC) and oropharyngeal squamous cell carcinoma (OP-SCC). Methods: A total of 203 cases of oral cavity squamous cell carcinoma and 72 cases of oropharyngeal squamous cell carcinoma were treated with the FSAIFs. The complications and success rate of the two groups were observed. The swallowing and voice functions of the two groups were evaluated and compared 6 months after the operation. The survival of the two groups was followed up. Results: No significant differences were found in TNM stage, the skin paddle of the flap, the rate of flap failure, or local complications between the OC-SCC and OP-SCC groups (P > 0.05). Significant differences in swallowing and speech outcomes were observed between the groups (P < 0.05). No significant differences were found in survival outcome between the groups after 9-59 months of follow-up. Conclusion FSAIF can be used for reconstructing the defect in oral cavity or oropharynx, but the swallowing function of reconstructing the defect in oropharynx is poor.