Objective:To investigate the predictive value of a radiomics model based on biparametric magnetic resonance imaging(bpMRI)for biochemical recurrence(BCR)after radical prostatectomy(RP)in elderly prostate cancer patients(≥60 years old).Methods:A retrospective analysis was conducted on data from 175 patients treated at Beijing Hospital from August 2017 to December 2021.Based on pathological results, image segmentation was performed on preoperative bpMRI T2, diffusion weighted imaging(DWI), and apparent diffusion coefficient(ADC)sequences.Pyradiomics was utilized to extract radiomic features, and Cox regression, Spearman correlation coefficient, and LASSO regression were employed for feature dimensionality reduction, leading to the construction of radiomic labels.Clinical models and image-clinical combined models were developed using multifactorial Cox regression analysis, and the performance of these models in predicting BCR was evaluated using the concordance index(C-index).Results:The 175 patients were randomly divided into a training set(122 cases)and a test set(53 cases)at a ratio of 7∶3, with 24 cases(19.7%, 24/122)and 11 cases(20.8%, 11/53)experiencing BCR, respectively.A total of 5 775 radiomic features were extracted from the three sequences, and after dimensionality reduction, 5 features were selected to construct the radiomic labels.The radiomics model exhibited C-index values of 0.764(95% CI: 0.655-0.872)and 0.769(95% CI: 0.632-0.906)in the training and test sets, respectively.Multifactorial Cox regression analysis revealed serum prostate-specific antigen(PSA)( HR=1.032, 95% CI: 1.010-1.054), postoperative pathology International Society of Urological Pathology(ISUP)grade grouping( HR=1.682, 95% CI: 1.039-2.722), and positive surgical margins( HR=2.513, 95% CI: 1.094-5.774)as independent predictors of BCR.The clinical model exhibited C-index values of 0.751(95% CI: 0.655-0.846)and 0.753(95% CI: 0.630-0.877)in the training and test sets, respectively.Following combined modeling of clinical factors and radiomic labels, the image-clinical combined model demonstrated the highest C-index values, namely 0.782(95% CI: 0.679-0.874)and 0.801(95% CI: 0.677-0.915)in the training and test sets, respectively. Conclusions:The radiomics model based on bpMRI can predict the occurrence of BCR after RP in elderly prostate cancer patients.Combined modeling of clinical factors and radiomic labels can enhance predictive efficiency.

Objective To investigate the relationship between the levels of serum neuron-specific enolase(NSE)and tumor necrosis factor alpha(TNF-α)and the attack stage and prognosis of children with epilepsy secondary to viral encephalitis(VE).Methods A total of 96 children with VE admitted to the People's Hospital Affiliated to Inner Mongolia Medical University from January 2015 to January 2020 were selected as the research subjects,and they were divided into the control group(children with VE,n=30)and the observation group(children with epilepsy secondary to VE,n=66).In addition,30 healthy children who underwent physical examination in the hospital during the same period were selected as the health group.The levels of serum NSE and TNF-α in the health group,control group and observation group were compared.Children in the observation group were further divided into the 24h relapse group(n=48)and 24h non-relapse group(n=18)according to the attack of disease within 24h after admission.The levels of serum NSE and TNF-α were compared between the two groups.Pearson correlation was used to analyze the relationship between the levels of NSE,TNF-α and the attack stage of epilepsy secondary to VE.Children in the observation group were divided into the good prognosis group(n=45)and the poor prognosis group(n=21)according to the Glasgow Outcome Scale score at discharge.The serum levels of NSE,TNF-α and other possible prognostic factors were compared between the two groups.Multivariate logistic regression analysis was used to explore the prognostic factors of children with epilepsy secondary to VE,and the predictive value of serum NSE and TNF-αlevels on the prognosis of children with epilepsy secondary to VE was analyzed by drawing the receiver operating characteristic curve.Results The level of serum NSE in the control group was significantly higher than that in the health group(P＜0.05),and there was no significant difference in the level of serum TNF-α between the control group and the health group(P＞0.05).The serum levels of NSE and TNF-α in the observation group were significantly higher than those in the control group(P＜0.05).The serum levels of NSE and TNF-α in the observation group were significantly higher than those in the control group(P＜0.05).The levels of serum NSE and TNF-α in the 24 h relapse group were significantly higher than those in the 24 h non-relapse group(P＜0.05).The proportion of severe abnormal EEG,severe abnormal brain images and complicated respiratory failure,and serum levels of c-reactive protein,NSE and TNF-α in the good prognosis group were lower than those in the poor prognosis group(P＜0.05);there were no significant differences in sex,age,body mass,brain injury site,fever,hypokalemia,hyponatremia,previous convulsions,stress hyperglycemia,complicated organ dysfunction,viral infection,first episode of epilepsy,Glasgow Coma Scale score at admission,duration of convulsion,length of hospital stay,white blood cell count,aspartate transaminase,creatine kinase and cardiac troponin levels between the two groups(P＞0.05).The results of multivariate logistic regression analysis showed that complicated respiratory failure,serum NSE and TNF-α levels were correlated with the prognosis of children with epilepsy secondary to VE(P＜0.05).The area under the curve(AUC)of serum NSE and TNF-α levels in predicting the prognosis of children with epilepsy secondary to VE was 0.724(95％confidence interval:0.672-0.776)and 0.689(95％confidence interval:0.637-0.734),respectively,with a sensitivity of 82.22％and 75.56％and a specificity of 76.19％and 71.43％;the AUC of the combination of the two in predicting the prognosis of children with epilepsy secondary to VE was 0.826(95％confidence interval:0.774-0.873),with a sensitivity of 73.33％and a specificity of 80.95％.Conclusion The serum levels of NSE and TNF-α are abnormally high in children with epilepsy secondary to VE.Both of them are factors affecting the prognosis of children with epilepsy secondary to VE,showing a good predictive value for the prognosis of epilepsy secondary to VE.

Objective To investigate the correlation between the total CSVD burden and fundus vasculopathy,and evaluate significance of fundus vasculopathy for cognitive impairment in CSVD patients.Methods A total of 290 inpatients who taking physical examination in our department from May 2021 to August 2022 were consecutively recruited,and according to their score of CSVD,they were divided into group 0(129 cases),group 1(51 case),group 2(42 cases),group 3(44 cases),and group 4(24 cases).All the subjects underwent brain magnetic resonance imaging,fundus fluorescein angiography,and cognitive function assessment.The total CSVD burden and fundus vasculopathy were evaluated.The general clinical data,results of laboratory tests,fundus vascularization,and cognitive function were compared among the groups with different CSVD burden scores.Spearman correlation analysis and linear correlation analysis were used to explore the correlation between total CSVD burden score and fundus vascular disease.Results Significant differences were observed in terms of age,years of education,cerebral infarction/TIA,total cho-lesterol,LDL-C,creatinine,MoC A and MMSE scores,positive results of connectivity test,digit-symbol conversion test,Stroop colour-word interference test and verbal fluency test,values of CRAE,CRVE,AVR,Scheie grade,DWMH and PVWMH,enlarged perivascular space in the basal ganglia(BG-EPVS),lacunar infarct and cerebral microbleeds(CMB)in different CSVD total bur-den groups(P＜0.05,P＜0.01).Spearman correlation analysis showed that total CSVD burden was negatively correlated with CRAE and AVR(r=-0.655,P=0.000;r=-0.679,P=0.000),and positively with CRVE and Scheie grade(r=0.560,P=0.000;r=0.685,P=0.000).Multivari-ate linear analysis showed that the total CSVD burden after adjusting for relevant risk factors was significantly correlated with CRAE,CRVE,AVR and Scheie grades(P＜0.01).Conclusion Fun-dus vasculopathy is strongly associated with increased total CSVD burden,and it can be regarded as a valid predictor of CSVD-related cognitive impairment.

Objective:To explore the diagnostic value of 18F-prostate specific membrane antigen (PSMA) PET/CT PRIMAY score combined with multiparameter MRI (mpMRI) PI-RADS score for clinically significant prostate cancer (CsPCa). Methods:The data of 63 patients with prostate cancer who underwent radical prostatectomy at Beijing Hospital from January 2019 to December 2023 were retrospectively analyzed. The median age was 70 (64, 75) years old with prostate-specific antigen (PSA) level of 8.46 (5.40, 14.80) ng/ml. All patients underwent 18F-PSMA PET/CT and mpMRI examination before surgery, and pathological large sections of prostate specimens were made after surgery. The prostate lesions were diagnosed and located by two radiologists and one pathologist respectively. Lesions with Gleason scores (GS)≥3+ 4 from the surgical pathology were diagnosed with CsPCa, and lesions with negative or GS=6 were diagnosed with non-CsPCa. The PSMA PET/CT images were evaluated using the PRIMARY study criteria (5-level PRlMARY score): no pattern (score of 1), diffuse transition zone or central zone(not focal) (score of 2), focal transition zone(score of 3), focal peripheral zone(score of 4), or an SUV max of at least 12 (score of 5). The degree of uptake of imaging agent in prostate lesions was semi-quantitatively evaluated using lesion-to-background ratios (LBR) of SUV max. MpMRI was evaluated according to the Prostate Imaging Reporting and Data System (PI-RADS) version 2.1. The patients were divided into CsPCa group and non-CsPCa group based on patients and lesions. Mann-Whitney U test and chi-square test were used to compare the differences between groups. Multivariate logistic regression analysis was performed to determine the independent predictive factors of CsPCa. Receiver operator characteristic (ROC) curve was used to determine the optimal diagnostic threshold for each independent predictor. Predictive models were constructed for PRIMARY score, PI-RADS score, and their combined application, and the diagnostic performance of each model for CsPCa was compared. Results:Of all 63 patients, there were 54 cases in CsPCa group (85.7%) and 9 cases in non-CsPCa group (14.3%).There was significant difference between CsPCa group and non-CsPCa group in the serum PSA level [9.64 (6.1, 15.3) ng/ml vs. 5.6 (4.6, 7.6) ng/ml]( P<0.05). There was no statistically significant difference in age [71 (64, 75) years vs. 65 (63, 69) years], and number of lesions [2 (1, 2) vs. 2 (1, 3)] (all P>0.05). Of all 109 lesions, there were 81 lesions in CsPCa group(including 49 lesions with Gleason score = 3+ 4, 16 lesions with Gleason score=4+ 3, 14 lesions with Gleason score = 8, and 2 lesions with Gleason score>8) and 28 lesions in non-CsPCa group(including 14 lesions with Gleason score = 3+ 3 and 14 with benign prostate lesions). There was significant difference between CsPCa group and non-CsPCa group in PRIMARY score [4 (3, 5) vs. 2 (1, 4)], LBR [2.69 (2.08, 4.48) vs. 1.89 (1.45, 2.48)], PI-RADS score [4 (3, 5) vs. 2 (2, 3)] (all P<0.05). There was no statistically significant difference in the lesion distribution including the number of lesions located in the transition zone [15(18.5%) vs. 8(28.6%)] and in the peripheral zone[66(81.5%) vs. 20(71.4%)]( P>0.05). Multivariate logistic regression analysis indicated that PRIMARY score ( OR=2.134, 95% CI 1.429-3.187) and PI-RADS score ( OR=2.689, 95% CI 1.618-4.469) were independent predictors of CsPCa (both P<0.01). ROC curves analysis revealed that the cut-off value for diagnosing CsPCa was both 3 for PRIMARY score and PI-RADS score. The accuracy for PRIMARY score, PI-RADS score, and their combined complication in diagnosing CsPCa was 72%, 67%, and 83%, respectively. The sensitivity was 72%, 63%, and 91%, and the specificity was 75%, 79%, and 57%, respectively. The positive predictive value was 89%, 89%, and 86%, and the negative predictive value was 48%, 42%, and 70%, respectively. The area under the curve of the PRIMARY score, PI-RADS score, and their combined complication of the ROC curve for CsPCa were 0.733 (95% CI 0.624-0.842), 0.708 (95% CI 0.599-0.817), and 0.743 (95% CI 0.623-0.862), respectively. The diagnostic efficacy of their combined complication was higher than PRIMARY score or PI-RADS score alone (both P<0.01). Conclusions:Both the 18F-PSMA PET/CT PRIMAY score and the mpMRI PI-RADS score have good diagnostic value for CsPCa. The combined application of the two imaging parameters can improve the accuracy, sensitivity, and negative predictive value, which have a higher diagnostic efficiency of CsPCa.

Objective:To evaluate the image quality of prostate T 2WI reconstructed based on deep learning (deep learning T 2WI) and the diagnostic performance for prostate cancer (PCa) in the transition zone. Methods:Totally 79 patients who underwent prostate MRI for elevated prostate specific antigen from December 2020 to September 2022 were prospectively consecutively collected from Beijing Hospital. Scan sequences included axial standard T 2WI, deep learning T 2WI, and diffusion-weighted imaging. The scan time was recorded. The image quality was scored subjectively including image quality, diagnostic confidence, noise level, artifacts, clarity and lesion detectability. For objective evaluation of image quality, signal-to-noise ratio (SNR) and contrast signal-to-noise ratio (CNR) were calculated. Two-parameter MRI prostate imaging reporting and data system version 2.1 (PI-RADS v2.1) scoring was performed for transition zone lesions using deep learning T 2WI and standard T 2WI, respectively. The subjective and objective image quality evaluation metrics for deep learning T 2WI and standard T 2WI were compared using the Wilcoxon signed-rank test. For transition zone lesions, the diagnostic performance of PI-RADS scores with deep learning T 2WI and standard T 2WI for PCa was evaluated by the receiver operating characteristic curve based on the lesion (all lesions in the transition zone) and the patient (the most malignant lesions in the transition zone), respectively, using the pathologic results as the gold standard. The area under the curve (AUC) was compared using the DeLong test. Results:Deep learning T 2WI significantly reduced the examination time by 64.6.%, from 4 min 37 s to 1 min 38 s. The scores of subjective image quality of deep learning T 2WI and standard T 2WI all were 5 (4, 5). The differences in image quality and lesion detectability were statistically significant ( Z=-2.32, -2.36, P=0.020, 0.018), and the differences of all other image quality evaluation metrics were not statistically significant ( P>0.05). The SNR of deep learning T 2WI and standard T 2WI were 17.11 (14.09, 21.92) and 9.15 (7.16, 11.17), with a statistically significant difference ( Z=-7.72, P<0.001). The CNR of deep learning T 2WI and standard T 2WI were 20.78 (13.42, 31.42) and 11.05 (7.82, 16.25), with a statistically significant difference ( Z=-7.54, P<0.001). Based on the lesion (40 PCa and 48 benign lesions), the AUC of the two-parameter PI-RADS score with deep learning T 2WI and standard T 2WI for diagnosing PCa in the transition zone were 0.915 (95%CI 0.856-0.975) and 0.916 (95%CI 0.857-0.976), without statistically significant difference ( Z=0.03, P=0.973). Based on the patient (33 PCa and 46 benign patients), the AUC of the two-parameter PI-RADS score with deep learning T 2WI and standard T 2WI were 0.921 (95%CI 0.857-0.984) and 0.939 (95%CI 0.886-0.992), without statistically significant difference ( Z=0.59, P=0.558). Conclusions:Compared with standard T 2WI, deep learning T 2WI of the prostate reduces scanning time while maintaining image quality and has comparable diagnostic performance for PCa in the transition zone.

Objective:To apply the best evidence of pre-examination and triage management of patients with non-traumatic acute abdomen to clinical practice and evaluate its effects.Methods:Using convenience sampling method, 15 nurses and 237 patients with non-traumatic acute abdomen admitted in the emergency department of Shanxi Provincial People ′s Hospital from January to May 2021 were selected as the research objects, 114 cases as the baseline review group and 123 cases as the after-effect evaluation group. Following the clinical evidence practice application of JBI Evidence-Based Nursing Center Systematic standard procedures, using self before-after control study to compare the knowledge and behavior of triage nurses before and after evidence application, and compliance with each review index; using a non-contemporaneous controlled trial to compare the changes of pre-examination and triage time and triage accuracy between two groups. Results:After the application of evidence, the score of the triage nurses on the pre-examination and triage of non-traumatic acute abdomen increased from 98.00±6.56 in the after-effect evaluation group to 114.20±3.88 in the base-line review group, and the difference was statistically significant ( t=8.62, P<0.05); after the application of evidence, the compliance with indicators 1-9,12,13,15-17 was significantly improved and the difference was significant ( χ2 values were 11.46-123.06, all P <0.05). After the application of evidence, the compliance rate of those indicators <80% increased to more than 80% except indicator 6, the accuracy of patient triage rose from 84.21%(96/114) to 93.50%(115/123) with a statistically significant difference ( χ2=5.22, P<0.05); after the application of the evidence, the triage time was 2.00(1.00,4.00) min, shorter than 3.00(2.00,4.63) min in the base-line review group, and the difference was statistically significant ( Z=-3.18, P<0.05). Conclusions:The application of the best evidence of pre-examination and triage for non-traumatic acute abdomen can improve the nursing practice of non-traumatic acute abdomen triage, improve the accuracy of non-traumatic acute abdomen triage, and shorten the triage time.

Objective:To understand the current status of perioperative physical prevention of venous thrombosis in patients undergoing total knee and hip replacement and to analyze the barriers to clinical transformation of evidence and improve measures.Methods:Based on the evidence-based continued quality improvement model, then building a team, systematically searching, evaluating and summarizing evidences, establishing review indicators and review methods according to FAME principles (feasibility, appropriately, meanfulness, effectiveness), selecting patients undergoing total knee and hip replacement, nurses, and doctors who underwent total knee and hip replacement surgery from April 30 to August 31, 2020 in Shanxi Provincial People's Hospital as the review objects, and conducting a baseline review according to the review indicators one by one, and analyzing the obstacle factors and improvement measures based on the review results.Results:This study included 29 best evidences, and 17 review indicators were formulated based on the best evidences. Among them, the clinical compliance rate of 5 review indicators were greater than 80%, and the clinical compliance rate of 12 review indicators were less than 80%. The main obstacles were due to the imperfect venous thromboembolism (VTE) risk assessment and management process at the system level, and the low level of knowledge of VTE prevention and management among medical staff at the individual level.Conclusions:This study was based on the best evidences, scientifically and systematically developed clinical review indicators, rigorously and comprehensively analyzed obstacles, and constructed targeted improvement measures, not only for the future physical prevention of perioperative venous thrombosis in patients with total knee and hip replacement surgery transformation provides the basis but also can further promote clinical practice changes and continuous quality improvement.

Objective:To investigate the feasibility and reliability of the frozen section during targeted prostate biopsy.Methods:The clinical and pathological information of patients who received cognitive fusion transperineal targeted plus systematic biopsy and frozen section of 1-2 core targeted biopsy were consecutively collected and retrospectively studied. The median age was 70 (ranging 64-78) years, with the median prostate-specific antigen (PSA) level of 11.00 (ranging 6.63-16.52) ng/ml and the median prostate volume of 35.72 (ranging 22.59-47.71) ml. All patients received bi-parametric magnetic resonance imaging (bp-MRI) and have Prostate Imaging Reporting and Data System (PI-RADS) 3 or higher lesions diagnosed on bp-MRI. The suspected lesions would be taken by targeted biopsy of which one or two cores would be sent to prepare for the frozen sections. Then a cognitive fusion targeted and systematic biopsy covering the above targeted zones would be routinely administered under a transperineal approach as a standard protocol. The total time used for diagnosis of the frozen sections, the pathological diagnosis and the International Society of Urological Pathology (ISUP) grade groups (GG) would be recorded. The sensitivity, the positive predictive value, and the accuracy on grade groups would be analyzed, using the pathological diagnosis based on standard sections from the same targeted lesion.Results:A total of 29 patients were included in this study. Accordingly, 29 suspected lesions were identified on bp-MRI. A total of 20 lesions were finally diagnosed of PCa on frozen section, with the detection rate of 69.0%. Of those, 9(45.0%) cases were ISUP GG 1 diseases, 5(25.0%) cases were GG 2 diseases, 1(5.0%) case was GG 3 disease, and 5(25.0%) cases were GG 4-5 diseases. A total of 22 lesions were diagnosed with PCa on standard sections of cores from the same targeted lesions, with the detection rate of 75.9%. Of those, 6(27.3%) cases were GG 1 disease, 11(50.0%) cases were GG 2 diseases, 1(4.5) case was GG 3 disease, and 4(18.2%) cases were GG 4-5 diseases. The sensitivity and the positive predictive value of frozen section were 90.9% and 100%, respectively. No false positive diagnosis was made by frozen section. Compared to diagnosis from frozen sections, the GG diagnosed from final standard sections were found to upgrade and downgrade in 2 and 2 cases, respectively. The accuracy rate on GG of frozen sections was 80%. The time used for the diagnosis of frozen sections was (11±2) minutes. The histology quality control of four specimens was dissatisfactory. Two were due to tissue loss and deformation during sampling, and the other two were due to cytoclasis during low-temperature transferring.Conclusion:It is feasible and reliable to make a pathological diagnosis from frozen section of prostate targeted biopsy.

Objective:To investigate the diagnostic value of the combination of 18F-prostate specific membrane antigen (PSMA) PET/CT and multiparametric magnetic resonance imaging (mpMRI) in identifying the grade group of prostate cancer, using parameters derived from the two imaging modalities. Method:Prostate cancer patients diagnosed by histopathology and received 18F-PSMA PET/CT and mpMRI during September 2018 to May 2021 in our hospital were retrospectively studied. The median age was 68(64-75), with the median PSA level of 14.74(7.75-24.19)ng/mL. All patients received mpMRI before biopsy. On biopsy, 6(12.2%) patients had International Society of Urological Pathology grade group(ISUP GG) 1 diseases, 16(32.7%) had ISUP GG 2 diseases, 12(24.5%) had ISUP GG 3 diseases, and 15(10.9%) had ISUP GG 4 or 5 diseases. Patients were then divided into high-grade group (ISUP 4-5) and low-grade group(ISUP 1-3). The median age of patients in high-grade group and low-grade group were 65(62-76) and 71(65-74), respectively. The PSA level in high-grade group and low-grade group were 15.11(6.63-42.86) ng/ml and 12.31(7.94-18.25) ng/ml, respectively. No significant differences were found in age and PSA level between the two groups ( P=0.334, P=0.448). All patients underwent 18F-PSMA PET/CT within 4 weeks after biopsy. The maximum standardized uptake value(SUV max) and the minimum apparent diffusion coefficient(ADC min)were recorded, and the ratio of SUV max/ ADC minwere calculated. The correlation between the above parameters and ISUP grade group were analyzed.The diagnostic value of the parameters was evaluated by the receiver operating characteristic (ROC) curve. Results:The data of 49 patients were analyzed. The average ADC minwas (0.57±0.16)×10 -3 mm 2/s, with the average SUV max and SUV max/ADC min of 15.30±12.54 and (29.69±23.72)×10 3, respectively. Statistical differences were found in SUV max ( P=0.012) and SUV max/ADC min ( P=0.002) between the high- and low-grade groups, while ADC min ( P=0.411) showed no statistical differences between the two groups. Significant positive correlations were found between SUV max(r=0.501, P<0.001), SUV max/ADC min (r=0.527, P<0.001) and ISUP grade group, respectively. There was a negative correlation between ADC min and ISUP grade group (r=-0.296, P=0.039). SUV max/ADC min was the best index to distinguish high-grade group from low-grade group prostate cancer with the area under the curve(AUC) of 0.749. In contrast, the AUC of SUV maxand ADC min were 0.731 and 0.615, respectively. The diagnostic sensitivity and specificity of SUV max/ADC min were 73.3% and 85.3%, respectively, with a critical value of 37.23×10 3. Conclusion:The combination use of 18F-PSMA PET/CT and mpMRI could improve the diagnostic efficiency for prostate cancer, compared to either modality alone. The ratio of SUV max/ADC min has a positive correlation with ISUP grade group, and is a promising index for distinguishing the high-grade prostate cancer from low-grade cancer.

Objective:To investigate the diagnostic value of quantitative parameters of synthetic MRI in patients with prostate cancer (PCa).Methods:From April 2018 to April 2019, 25 PCa patients confirmed by whole-mount pathology were prospectively enrolled in Beijing Hospital. All patients underwent prostate MRI examinations including DWI and synthetic MRI. Four kinds of tissue types were identified in pathology, including PCa, stromal hyperplasia (SH), glandular hyperplasia (GH) and prostatitis. According to the pathological results, quantitative parameters including ADC, T 1, T 2 and proton density (PD) values were measured on DWI and synthetic MRI. One-way analysis of variance or Kruskal-Wallis H test was performed to compare the difference of each parameter among PCa, SH or GH in the transitional zone (TZ). The difference of each parameter between PCa and prostatitis in the peripheral zone (PZ) was evaluated by using independent sample t test or Mann-Whitney U test. The diagnostic performance of each parameter in discriminating PCa from other benign conditions was evaluated by using ROC curve. Area under the curve (AUC) of each parameter was compared by using DeLong test. Results:The overall differences of T 1, T 2 PD and ADC values were statistically significant among PCa and other benign conditions. The T 1, T 2 and ADC values of PCa in the TZ were lower than those in the SH ( P=0.041, 0.030,<0.001) and GH (all P<0.001). The PD value of PCa in the TZ was lower than that in the GH ( P=0.040). The differences of T 1, T 2, PD and ADC values between PCa and prostatitis in the PZ were significant ( P<0.05). The AUC of ADC value (0.943) was higher than that of T 1 (0.691, P=0.001), PD (0.555, P=0.002) and T 2 (0.754, P=0.016) values in differentiating PCa from SH. For discriminating PCa and GH, T 1, T 2 and ADC showed similar AUC ( P>0.05), which were higher than AUC of PD value ( P=0.001). For discriminating PCa and prostatitis, T 1, T 2, PD and ADC values showed similar AUC ( P>0.05). Conclusions:Quantitative parameters of synthetic MRI were practical tools for discriminating PCa from other benign pathologies.