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.

Objective:To explore the value of dual-layer spectral CT virtual monoenergetic images (VMI) in contrast-enhanced abdominal CT scans with reduced contrast medium volume in pediatric tumor patients.Methods:The study is a self-matched case-control study. From January to October 2024, pediatric patients admitted to Shandong Cancer Hospital with abdominal tumors who underwent low contrast dose spectral CT contrast-enhanced scans during follow-up were prospectively included. A total of 47 patients aged (6.2±2.2) years (4-14 years) were enrolled. Usual contrast dose enhanced CT served as the conventional-dose group, while the follow-up low-dose spectral CT scans employed a protocol with half the contrast agent dose (low-dose group). Images were reconstructed as conventional CT images and VMI at 45, 55, and 65 keV. Using muscle as the reference background, differences in CT values and contrast-to-noise ratio (CNR) in the aorta, kidneys, liver, and spleen were compared between the low-dose group and conventional-dose group. Multi-group comparisons were performed using the Friedman test. Post-hoc pairwise comparisons were conducted with Bonferroni correction for P-values. Results:CT values and CNRs for all measured regions progressively increased with decreasing keV levels in spectral CT VMI. Significant overall differences were found in CT values and CNRs for the aorta, kidneys, liver, and spleen among the low-dose group (all VMIs) and the conventional-dose group (all P<0.001). At 65 keV VMI in the low-dose group, both CT values and CNRs (except for the liver CNR) were significantly lower than those in the conventional-dose group (all adjusted P<0.05). At 55 keV VMI in the low-dose group, CT values and CNRs for all regions did not show statistically significant differences compared to the conventional-dose group (all adjusted P>0.05). At 45 keV VMI in the low-dose group, CT values for all structures and CNR for the spleen were significantly higher than those in the conventional-dose group (all adjusted P<0.05). However, no statistically significant difference was found in CNRs for the aorta, kidneys, and liver (adjusted P=1.000, 0.313, and 0.503, respectively). Conclusion:When the contrast dose is halved, spectral CT 45 keV VMI enhances CT attenuation values and CNR in the abdomen of pediatric tumor patients, while 55 keV VMI provides image quality comparable to that of conventional-dose CT.

Objective:To explore the effect and mechanism of USP7 on immune and inflammatory response of EV71 infection.Methods:THP-1 cells were induced to differentiate into t-Mφ cells by PMA,cells were treated by targeted USP7 inhibitor P22077,and divided into DMSO control group and P22077 experimental group,and infected with EV71.ELISA was used to detect supernatant concentration of IL-6,CCL3,TNF-α of cells separately.RT-qPCR was used to detect RNA expression of EV71-VP1,plaque test was used to detect virus titer in cell supernatant.Western blot was used to detect expressions and phosphorylation of molecules related to innate immune signaling pathway.Full-length plasmid Myc-USP7 and Flag-MDA5 were constructed and transfected into HEK293T cells,and Co-IP was used to detect external interaction between USP7 and MDA5 with Myc antibody and Flag antibody,respectively.Infected t-Mφ cells with EV71,and Co-IP detection of their interaction by USP7 and MDA5 antibodies,respectively.t-Mφ cells of DMSO control group and P22077 experimental group were infected with EV71,CHX test was used to detect expression of MDA5 and downstream related molecules.Transfected Flag-MDA5,Myc-USP7,HA-Ub or HA-K48 plasmids,Co-IP detection of ubiquitination and ubiquitination types of MDA5 regulated by USP7 with Flag antibody.Co-IP detection of MDA5 ubiquitination types regulated by USP7 in t-Mφ cells by using MDA5 antibodies.Results:After infected with EV71 and inhibited of USP7,mRNA and protein expres-sions of IL-6,CCL3 and TNF-α were decreased(P<0.05),while EV71 replication(P<0.05),and titer increased;expression of MDA5,and activation of p-IKKα/β,p-IκBα and p-p65 in innate immunity signal pathway decreased.Interaction between USP7 and MDA5 could inhibit MDA5 degradation by inhibiting K48 ubiquitination of MDA5.Conclusion:USP7 stabilizes MDA5 expression by inhibiting K48 ubiquitination of MDA5,thereby positively regulating EV71 infection immunity and inflammatory response.

Objective:To explore the effect and mechanism of USP7 on immune and inflammatory response of EV71 infection.Methods:THP-1 cells were induced to differentiate into t-Mφ cells by PMA,cells were treated by targeted USP7 inhibitor P22077,and divided into DMSO control group and P22077 experimental group,and infected with EV71.ELISA was used to detect supernatant concentration of IL-6,CCL3,TNF-α of cells separately.RT-qPCR was used to detect RNA expression of EV71-VP1,plaque test was used to detect virus titer in cell supernatant.Western blot was used to detect expressions and phosphorylation of molecules related to innate immune signaling pathway.Full-length plasmid Myc-USP7 and Flag-MDA5 were constructed and transfected into HEK293T cells,and Co-IP was used to detect external interaction between USP7 and MDA5 with Myc antibody and Flag antibody,respectively.Infected t-Mφ cells with EV71,and Co-IP detection of their interaction by USP7 and MDA5 antibodies,respectively.t-Mφ cells of DMSO control group and P22077 experimental group were infected with EV71,CHX test was used to detect expression of MDA5 and downstream related molecules.Transfected Flag-MDA5,Myc-USP7,HA-Ub or HA-K48 plasmids,Co-IP detection of ubiquitination and ubiquitination types of MDA5 regulated by USP7 with Flag antibody.Co-IP detection of MDA5 ubiquitination types regulated by USP7 in t-Mφ cells by using MDA5 antibodies.Results:After infected with EV71 and inhibited of USP7,mRNA and protein expres-sions of IL-6,CCL3 and TNF-α were decreased(P<0.05),while EV71 replication(P<0.05),and titer increased;expression of MDA5,and activation of p-IKKα/β,p-IκBα and p-p65 in innate immunity signal pathway decreased.Interaction between USP7 and MDA5 could inhibit MDA5 degradation by inhibiting K48 ubiquitination of MDA5.Conclusion:USP7 stabilizes MDA5 expression by inhibiting K48 ubiquitination of MDA5,thereby positively regulating EV71 infection immunity and inflammatory response.

Objective:To explore the value of dual-layer spectral CT virtual monoenergetic images (VMI) in contrast-enhanced abdominal CT scans with reduced contrast medium volume in pediatric tumor patients.Methods:The study is a self-matched case-control study. From January to October 2024, pediatric patients admitted to Shandong Cancer Hospital with abdominal tumors who underwent low contrast dose spectral CT contrast-enhanced scans during follow-up were prospectively included. A total of 47 patients aged (6.2±2.2) years (4-14 years) were enrolled. Usual contrast dose enhanced CT served as the conventional-dose group, while the follow-up low-dose spectral CT scans employed a protocol with half the contrast agent dose (low-dose group). Images were reconstructed as conventional CT images and VMI at 45, 55, and 65 keV. Using muscle as the reference background, differences in CT values and contrast-to-noise ratio (CNR) in the aorta, kidneys, liver, and spleen were compared between the low-dose group and conventional-dose group. Multi-group comparisons were performed using the Friedman test. Post-hoc pairwise comparisons were conducted with Bonferroni correction for P-values. Results:CT values and CNRs for all measured regions progressively increased with decreasing keV levels in spectral CT VMI. Significant overall differences were found in CT values and CNRs for the aorta, kidneys, liver, and spleen among the low-dose group (all VMIs) and the conventional-dose group (all P<0.001). At 65 keV VMI in the low-dose group, both CT values and CNRs (except for the liver CNR) were significantly lower than those in the conventional-dose group (all adjusted P<0.05). At 55 keV VMI in the low-dose group, CT values and CNRs for all regions did not show statistically significant differences compared to the conventional-dose group (all adjusted P>0.05). At 45 keV VMI in the low-dose group, CT values for all structures and CNR for the spleen were significantly higher than those in the conventional-dose group (all adjusted P<0.05). However, no statistically significant difference was found in CNRs for the aorta, kidneys, and liver (adjusted P=1.000, 0.313, and 0.503, respectively). Conclusion:When the contrast dose is halved, spectral CT 45 keV VMI enhances CT attenuation values and CNR in the abdomen of pediatric tumor patients, while 55 keV VMI provides image quality comparable to that of conventional-dose CT.

Objective:To investigate the application effect of high-altitude field-based teaching in acute mountain sickness.Methods:The medical students of the classes 2018 and 2019 majoring in clinical medicine were selected as subjects, and they were divided into conventional teaching group and field-based teaching group, with 20 students in each group. The students in the conventional teaching group received classroom teaching alone, and those in the field-based teaching group received high-altitude field-based teaching after theoretical lectures. The two groups were compared in terms of the theoretical knowledge of acute mountain sickness, the quality score of internship, and rescue operation score of acute mountain sickness, and questionnaire feedback and post-class discussion were performed among trainees and teachers to evaluate the high-altitude field-based teaching model. SPSS 19.0 was used for statistical analysis.Results:Compared with the conventional teaching group, the field-based teaching group had significantly higher scores of the theoretical knowledge of acute mountain sickness (91.72±4.34 vs. 86.10±5.15, P<0.001), the quality score of internship (89.64±5.21 vs. 83.51±2.38, P<0.001), and the rescue operation of acute mountain sickness [94.05 (89.54, 94.87) vs. 87.01 (84.33, 90.82), P<0.001]. Conclusions:High-altitude field-based teaching can improve the teaching effect of acute mountain sickness and cultivate the interest and learning enthusiasm of students, and therefore, it holds promise for wide application.