Validation of acoustic voided volume measure: a pilot prospective study.

PURPOSE: We evaluated the accuracy and reliability of a new smartphone-based acoustic voided volume (VV) measurement application compared to VV estimation based on the measurement of urine volume in a bladder by ultrasound bladder scan. PATIENTS AND METHODS: A total of 53 subjects from 01/2021 to 09/2021 were prospectively enrolled. Bladder scan-based VV estimation is based on the difference in the volume of urine in a bladder measured before urination and volume measured after urination. The acoustic VV measurement is based on smartphone-based acoustic VV measurement mobile application. VV estimates for the same void were compared between two techniques. Urinary measures were obtained from 49 male subjects resulting in a total of 245 measurements for analysis. VV measures were compared using Pearson's correlation coefficient (PCC), evaluation of observed versus predicted VV measures using linear regression fit indices, and Bland-Altman method. RESULTS: VV between the two techniques revealed strong correlation (PCC 0.811, p < 0.001). Means of the number of measurements per patient and inpatient days for measurements analyzed are 5 and 2.7, respectively. In 245 measurements, VV measured by bladder scan is 238.69 ± 122.32 mL, VV measured by mobile application is 254.69 ± 119.28 mL, and their difference of two measurements is 16 ± 74.29 mL. CONCLUSION: Through the comparison with VV estimated by ultrasound bladder scan, which is a technology to measure the urine volume in a bladder, it was confirmed that the smartphone-based acoustic VV measurement application proudP® is accurate.

The Prostate Health Index and multi-parametric MRI improve diagnostic accuracy of detecting prostate cancer in Asian populations.

PURPOSE: The aim of this study was to evaluate the effectiveness of the Prostate Health Index (PHI) and prostate multi-parametric magnetic resonance imaging (mpMRI) in predicting prostate cancer (PCa) and clinically significant prostate cancer (csPCa) during initial prostate biopsy. MATERIALS AND METHODS: In total, 343 patients underwent initial prostate biopsy and were screened by use of PHI and prostate-specific antigen (PSA) levels between April 2019 and July 2021. A subgroup of 232 patients also underwent prostate mpMRI. Logistic regression analysis was performed to evaluate the accuracies of PSA, PHI, and mpMRI as predictors of PCa or csPCa. These predictive accuracies were quantified by using the area under the receiver operating characteristic curve. The different predictive models were compared using the DeLong test. RESULTS: Logistic regression showed that age, PSA, PHI, and prostate volume were significant predictors of both PCa and csPCa. In the mpMRI subgroup, age, PSA level, PHI, prostate volume, and mpMRI were predictors of both PCa and csPCa. The PHI (area under the curve [AUC]=0.693) was superior to the PSA level (AUC=0.615) as a predictor of PCa (p=0.038). Combining PHI and mpMRI showed the most accurate prediction of both PCa and csPCa (AUC=0.833, 0.881, respectively). CONCLUSIONS: The most accurate prediction of both PCa and csPCa can be performed by combining PHI and mpMRI. In the absence of mpMRI, PHI is superior to PSA alone as a predictor of PCa, and adding PHI to PSA can increase the detection rate of both PCa and csPCa.

Recurrence after radical and partial nephrectomy in high complex renal tumor using propensity score matched analysis.

We evaluated the recurrence after radical and partial nephrectomy in patients with RENAL nephrometry score [RENAL] ≥ 10. A total of 474 patients (radical nephrectomy [RN, n = 236] & partial nephrectomy [PN, n = 238]) in a single tertiary referral institution from December 2003 to December 2019 were assessed. Functional outcomes, defined as estimated glomerular filtration rate changes, relapse pattern, recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS) were evaluated using propensity score-matched analysis. The predictors of recurrence and survival were assessed by Cox-regression analysis. 44 patients in the RN group and 88 in the PN group were included without significant differences in preoperative clinical factors after matching. The PN patients achieved significantly higher renal function preservation rates (p < 0.001). There were five recurrences in RN and six in PN. The PN patients revealed 5-year RFS rate (86.8%), 5-year CSS rate (98.5%), and 5-year OS rate (98.5%) comparable to the RN patients (RFS: 88.7% [p = 0.780], CSS: 96.7% [p = 0.375], and OS: 94.3% [p = 0.248]). Patients with a body mass index (BMI) ≥ 23 had lower 5-year RFS rates (85.5%) and OS rates (95.6%) than those with BMI < 23 (RFS: 90.0% [p = 0.195], OS: 100% [p = 0.117]) without significance. The significant predictor of recurrence was the pathologic T stage (hazard ratio [HR] 3.99, 95% confidence [CI] 1.10-14.50, p = 0.036). The significant predictor of death was the R domain of the RENAL (HR 3.80, 95% CI 1.03-14.11, p = 0.046). PN, if technically feasible, could be considered to preserve renal function in patients with RENAL ≥ 10. Nonetheless, PN needs to be implemented with caution in some patients due to the higher potentiality for recurrence and poor survival.

Clinical and pathologic characteristics of familial prostate cancer in Asian population.

BACKGROUND: We investigated prevalence of familial and hereditary prostate cancer (PCa) in Asian population, and compared clinical characteristics between familial and sporadic disease. METHODS: Pedigrees of 1102 patients who were treated for PCa were prospectively acquired. Clinical and pathologic characteristics and biochemical recurrence (BCR)-free survival were compared between familial PCa and sporadic PCa in patients who underwent radical prostatectomy (RP; n = 751). RESULTS: The prevalence of familial, first-degree familial, and hereditary PCa was found to be 8.4%, 6.7%, and 0.9%, respectively; similar result was obtained in patients who underwent RP (8.4%, 6.4%, and 0.9%). Patients with familial PCa were significantly younger than those with sporadic PCa (63.3 vs 65.6 years; P = .015). However, preoperative variables (prostate-specific antigen, clinical stage, biopsy Gleason score [GS], and percentage of positive biopsy cores) and postoperative variables (surgical GS, upgrading rate, pathologic stage, and percentage of tumor volume) did not correlate with family history (P range: .114-.982). Kaplan-Meier analysis of 5-year BCR-free survival revealed no significant difference between sporadic (82.7%), familial (89.4%; P = .594), and first-degree familial (87.1%; P = .774) PCa. Analysis of p53, Bcl-2, Ki67, and other immunohistochemistry biomarkers revealed that only increasing p53 expression and first-degree familial PCa approached significance (P = .059). CONCLUSION: The prevalence of familial PCa was somewhat lower in the Asian population than in other ethnic groups. Clinical and pathologic variables and selected histologic biomarker abnormalities were not significantly different in patients with and without a family history of PCa. BCR-free survival following RP was also unaffected by family history.