Yuke Chen

Development and comparison of a Chinese nomogram adding multi-parametric MRI information for predicting extracapsular extension of prostate cancer

Purpose To improve the performation of a nomogram for predicting side-specific extracapsular extension (SS-ECE). Results One hundred and ninety-six patients (55.5%) had ECE on final pathology. Bilateral and unilateral ECE rate was 13.9% (49/353) and 41.6% (147/353), respectively. The mean age was 65.9 years and the mean serum prostate specific antigen (PSA) was 15.0 ng/ml. Based on multivariate logistic regression analysis, clinical stage (cStage), PSA, Gleason sum, percentage of positive cores, and ECE risk score were significant predictors of ECE. The current nomogram had higher predictive accuracy (0.851) and superior calibration. According to the decision curve analysis (DCA) results, the updated nomogram demonstrated a high net benefit across a wide range of threshold probabilities. Materials and Methods We studied 353 patients with cStage T1c-T3 prostate cancer underwent radical prostatectomy. The candidate predictors associated with ECE were cStage, PSA, Gleason sum, percentage of positive cores, maximum cancer percentage and ECE risk score from multi-parametric magnetic resonance imaging (MP-MRI). The receiver operating characteristic (ROC) analysis was performed and an updated nomogram was constructed. The DCA was performed to test the predictive ability of the nomogram. In addition, the validation and calibration of the Memorial Sloan-Kettering cancer center (MSKCC) nomograms were performed in the current subjects. Conclusions Predictors, including cStage, PSA, Gleason sum, percentage of positive cores, maximum cancer percentage, and ECE risk score, were combined to construct a SS-ECE prediction nomogram. And the current nomogram might help urologists in decision-making process of preserving or resecting neurovascular bundles preoperatively.

Relationship among diet habit and lower urinary tract symptoms and sexual function in outpatient-based males with LUTS/BPH: a multiregional and cross-sectional study in China.

Objectives This study assessed the effect of diet habits on lower urinary tract symptoms (LUTS) and sexual function in Chinese men with LUTS/benign prostatic hypertrophy (LUTS/BPH). Setting Multicentre study conducted between July 2013 and December 2013 in 11 hospitals in 3 geographic regions in China. Participants Overall, participants with LUTS/BPH accounted for 61.4% (2584/4208) of the respondents, whose data were processed in the following statistical analysis. Primary and secondary outcome measures LUTS and sexual function were assessed based on the International Prostate Symptom Score (IPSS) and the International Index of Erectile Function 5 (IIEF-5) score. Prostate volume (PV) was determined by ultrasound. Results A total of 4208 participants met the inclusion criteria. The average age of the whole participants was 65.8±7.7 years. Overall, participants with LUTS/BPH accounted for 61.4% (2584/4208) of the respondents, whose data were processed in the following statistical analysis. Generally, prostate enlargement was greatest in south China. LUTS and male sexual dysfunction (MSD) were most severe in northwest China. Based on multivariable analysis, PV enlarged as the age (p<0.001), body mass index (BMI; p<0.001) and vegetable intake (p<0.001) increased. Age (p<0.001) and BMI (p<0.05) independently increased the IPSS. A higher level of education (p<0.001) and more frequent meat, fish and egg intake (p<0.05) decreased the IPSS. Age (p<0.001), BMI (p<0.001), low education level (p<0.05), vegetable intake (p=0.001), and milk and dairy product intake (p=0.001) decreased the IIEF-5 score. Conclusions In addition to factors including age, obesity and level of education, dietary habits and geographic difference might also play an important role in the variation of PV, LUTS and MSD for Chinese men with LUTS/BPH.

Contemporary Epstein Criteria with Biopsy-Naïve Multiparametric Magnetic Resonance Imaging to Prevent Incorrect Assignment to Active Surveillance in the PI-RADS Version 2.0 Era

PurposeThe aim of this study is to evaluate the effectiveness of multiparametric magnetic resonance imaging (mp-MRI) in prostate cancer (PCa) patients with biopsy Gleason score ≤ 6 who may otherwise be assigned to active surveillance (AS).Patients and MethodsThis was a retrospective study of 90 patients who underwent transrectal systematic biopsy for prostate cancer with Gleason score ≤ 6 without neoadjuvant therapy, with radical prostatectomy (RP) conducted between September 2009 and March 2018. All patients underwent prebiopsy mp-MRI. The prostate imaging reporting and data system (PI-RADS) version 2.0 score was evaluated. The correlation between imaging results and pathological findings was analyzed. We established models based on Epstein criteria with or without PI-RADS score and evaluated their ability for screening of potential PCa AS candidates.ResultsAmong 90 patients, 60 (66.7%) had upgrade (Gleason ≥ 7), 30 (33.3%) had extraprostatic extension, and 9 (10%) had seminal vesicle invasion on RP specimens. The rate of unfavorable disease was 67.8% (61 of 90). On multivariate analysis, independent risk factors for unfavorable disease were prostate-specific antigen density and PI-RADS score. The model based on Epstein criteria with PI-RADS score showed improved integrated discrimination improvement index and was superior to the classical Epstein criteria on decision curve analysis for screening potential prostate cancer AS candidates.ConclusionsMultiparametric MRI with PIRADS 2.0 provides useful supplementary information to Epstein criteria, and may prevent incorrect assignment to active surveillance.

The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer

Purpose To evaluate the auxiliary effectiveness of periprostatic fat thickness (PPFT) on multi-parametric magnetic resonance imaging (mp-MRI) to Prostate Imaging Reporting and Data System version 2 (PI-RADS v2) in predicting the presence of prostate cancer (PCa) and high-grade prostate cancer (HGPCa, Gleason Score ≥ 7). Results Overall, there were 371 patients (54.3%) with PCa and 292 patients (42.8%) with HGPCa. The mean value of PPFT was 4.04 mm. Multivariate analysis revealed that age, prostatic specific antigen (PSA), volume, PI-RADS score, and PPFT were independent predictors of PCa. All factors plus abnormal digital rectal exam were independent predictors of HGPCa. In addition, the PPFT was the independent predictor of PCa (Odds ratio [OR] 2.56, p = 0.004) and HGPCa (OR 2.70, p = 0.014) for subjects with PI-RADS grade 3. The present two nomograms based on multivariate analysis outperformed the single PI-RADS in aspects of predicting accuracy for PCa (area under the curve: 0.922 vs. 0.883, p = 0.029) and HGPCa (0.919 vs. 0.873, p = 0.007). Decision-curve analysis also indicated the favorable clinical utility of the present two nomograms. Materials and Methods The clinical data of 683 patients who received transrectal ultrasound guided biopsy and prior mp-MRI were reviewed. PPFT was measured as the shortest perpendicular distance from the pubic symphysis to the prostate on MRI. Univariate and multivariate analyses were performed to determine the independent predictors of PCa and HGPCa. We also constructed two nomograms for predicting PCa and HGPCa based on the logistic regression. Conclusion The PPFT on mp-MRI is an independent predictor of PCa and HGPCa, notably for patients with PI-RADS grade 3. The nomograms incorporated predictors of PPFT and PI-RADS demonstrated good predictive performance.

Cumulative Sum Analysis of the Learning Curve for Modified Retroperitoneoscopic Living-Donor Nephrectomy

Objectives: To introduce our modified retroperitoneoscopic living-donor nephrectomy (RPLDN) techniques and estimate the learning curve. Methods: We retrospectively evaluated 121 consecutive donors who underwent modified RPLDN performed by a single surgeon. While the surgeon controlled the renal vessels, one hand was inserted through an abdominal incision for assistance. The kidney was manually retrieved through the abdominal incision. The learning curve was evaluated using the cumulative sum (CUSUM) method, which was a graphical method showing changes in individual surgical performance. Results: The mean operating time and warm ischemic time (WIT) were 129.4 min and 154.5 s, respectively. The mean estimated blood loss (EBL) was 44.4 mL. Regarding intraoperative complications, no open conversions or blood transfusions were required. The CUSUM learning curve included the following 3 unique phases: phase 1 (the initial 32 cases), representing the initial learning curve; phase 2 (the middle 38 cases), representing expert competence; and phase 3 (the final 51 cases), representing mastery. Conclusions: Our modified method has the advantages of a short operating time, an optimized WIT, a low EBL, and acceptable complication rates. The surgeon completed the initial learning phase of RPLDN after 32 cases and could effectively perform RPLDN after 70 cases.

Expression of programmed death ligand-1 on bladder tissues is detected in a clinically and histologically well-defined interstitial cystitis cohort

To investigate the expression of programmed death ligand‐1 (PD‐L1) in interstitial cystitis (IC).

Urodynamic characteristics of pelvic lipomatosis with glandular cystitis patients correlate with morphologic alterations of the urinary system and disease severity.

To explore urodynamic characteristics and their clinical value in pelvic lipomatosis (PL) patients.

MultiParametric Magnetic Resonance Imaging-Based Nomogram for Predicting Prostate Cancer and Clinically Significant Prostate Cancer in Men Undergoing Repeat Prostate Biopsy

Objective To develop and internally validate nomograms based on multiparametric magnetic resonance imaging (mpMRI) to predict prostate cancer (PCa) and clinically significant prostate cancer (csPCa) in patients with a previous negative prostate biopsy. Materials and Methods The clinicopathological parameters of 231 patients who underwent a repeat systematic prostate biopsy and mpMRI were reviewed. Based on Prostate Imaging and Reporting Data System, the mpMRI results were assigned into three groups: Groups “negative,” “suspicious,” and “positive.” Two clinical nomograms for predicting the probabilities of PCa and csPCa were constructed. The performances of nomograms were assessed using area under the receiver operating characteristic curves (AUCs), calibrations, and decision curve analysis. Results The median PSA was 15.03 ng/ml and abnormal DRE was presented in 14.3% of patients in the entire cohort. PCa was detected in 75 patients (32.5%), and 59 (25.5%) were diagnosed with csPCa. In multivariate analysis, age, prostate-specific antigen (PSA), prostate volume (PV), digital rectal examination (DRE), and mpMRI finding were significantly independent predictors for PCa and csPCa (all p < 0.01). Of those patients diagnosed with PCa or csPCa, 20/75 (26.7%) and 18/59 (30.5%) had abnormal DRE finding, respectively. Two mpMRI-based nomograms with super predictive accuracy were constructed (AUCs = 0.878 and 0.927, p < 0.001), and both exhibited excellent calibration. Decision curve analysis also demonstrated a high net benefit across a wide range of probability thresholds. Conclusion mpMRI combined with age, PSA, PV, and DRE can help predict the probability of PCa and csPCa in patients who underwent a repeat systematic prostate biopsy after a previous negative biopsy. The two nomograms may aid the decision-making process in men with prior benign histology before the performance of repeat prostate biopsy.

Gross Hematuria Is More Common in Male and Older Patients with Renal Tuberculosis in China: A Single-Center 15-Year Clinical Experience

Objectives: This study aimed to investigate the clinical features of renal tuberculosis and identify the age- and gender-related differences. Methods: A total of 419 patients at the Peking University First Hospital from January 2000 to July 2015 were retrospectively reviewed. Data on demographic characteristics, clinical presentation, complications, laboratory results, radiologic imaging, surgical procedures, and pathology features were collected and compared between genders and 3 different age groups (under 40 years, 41-60, years and over 60 years). Results: The most common local presentations were lower urinary tract symptoms (65.2%), flank pain (37.9%), and gross hematuria (26.3%). Constitutional symptoms were also observed in 38.9% of the patients. Gross hematuria was more common in male patients (32.2%) and older patients (45.5%). Flank pain was more common in female patients (43.6%). Patients younger than 40 years of age had lower frequencies of calcification of the urinary tract (22.2%) and kidney atrophy (4.2%) in CT. In the postoperative pathological reports, atrophy (35.9%) and fibrosis (38.5%) were found to be significantly more common in older patients. Conclusions: While gross hematuria is more prevalent in older patients and male patients, flank pain is more common in female patients. Radiological and pathological features including calcification of the urinary tract, fibrosis, and kidney atrophy are more common in older patients.

PD43-04 COMBINATION OF VERSION 2.0 PROSTATE IMAGING REPORTING AND DATA SYSTEM (PI-RADS) AND PERIPROSTATIC FAT THICKNESS ON MULTIPARAMETRIC MRI TO PREDICT THE PRESENCE OF PROSTATE CANCER

INTRODUCTION AND OBJECTIVES: To evaluate the auxiliary function of periprostatic fat thickness (PPFT) on MRI to Prostate Imaging Reporting and Data System (PI-RADS) in predicting the presence of prostate cancer (PCa) and high grade prostate cancer (HGPCa). METHODS: The demographic data and the clinical information of 683 patients received transrectal ultrasound(TRUS-) guided biopsy and multi-parametric magnetic resonance imaging (mp-MRI) were retrospectively reviewed. In addition, the PPFT was measured as the shortest perpendicular distance from the pubic symphysis to prostate on midsagittal T1-weighted MR images. The univariate and multivariate analyses were performed for determing independent predictors of PCa and HGPCa in whole study cohort and subgroups according to PIRADS score. We also constructed two nomograms for predicting PCa and HGPCa based on binary logistic regression results. RESULTS: Overall, there were 371 patients (54.3%) having PCa and 292 patients (42.8%) having HGPCa. The mean value of PPFT was 4.04mm. Multivariate analysis revealed that age, PSA, TPV, PI-RADS score, PPFT were independent predictors of PCa. All factors plus DRE were independent predictors for HGPCa. The PPFT was the independent predictors of PCa (OR 2.56, p 1⁄4 0.004) and HGPCa (OR 2.70, p 1⁄4 0.014) for subjects with the PI-RADS score of 3. The present two nomograms based on multivariate analysis outperformed the single PI-RADS on aspects of predicting accuracy for PCa (aurea under the curve [AUC]: 0.922 vs 0.883, p1⁄4 0.029) and HGPCa (0.919 vs 0.873, p 1⁄4 0.007). Decision-curve analysis also indicated superior net benefits and wide predicting ranges of the present two nomograms. CONCLUSIONS: The PPFT on mp-MRI is an independent predictor of PCa and HGPCa, especially for patients with the PI-RADS score of 3. The nomograms incorporated predictors of PPFT and PIRADS demonstrate good performance in predicting the prsence of PCa and HGPCa.