[Correlation between prostatic parameters of transrectal ultrasonography and age in patients with benign prostatic hyperplasia].

OBJECTIVE: To investigate the correlation of prostatic parameters of transrectal ultrasonography with age in patients with benign prostatic hyperplasia (BPH) and the patterns of prostatic enlargement in different age groups of the patients. METHODS: We retrospectively studied the reports of transrectal ultrasonography for 1 739 outpatients with BPH from January 2010 to December 2015, who were divided into four age groups, 50－59, 60－69, 70－79, and =≥80 years. We analyzed the patterns of prostatic enlargement in different age groups. RESULTS: The transrectal ultrasonographic prostatic parameters, most significantly the transitional zone index (TZI), of the BPH patients were positively correlated with age. And the prostatic parameters were gradually increased with aging, with statistically significant differences among different age groups (P <0.05). The prostate was enlarged most quickly between 50 and 69 years of age. CONCLUSIONS: There is a positive correlation between age and prostatic parameters of transrectal ultrasonography, particularly the transitional zone index, in patients with BPH, which indicates that TZI can serve as one of the best criteria in evaluating BPH. The volume of the prostate, especially that of the transitional zone, is increased with aging, reaching the peak between 50 and 69 years, which is of great significance for further study of the development and progression of BPH.

Optimizing anterior urethral stricture assessment: leveraging AI-assisted three-dimensional sonourethrography in clinical practice.

PURPOSE: This investigation sought to validate the clinical precision and practical applicability of AI-enhanced three-dimensional sonographic imaging for the identification of anterior urethral stricture. METHODS: The study enrolled 63 male patients with diagnosed anterior urethral strictures alongside 10 healthy volunteers to serve as controls. The imaging protocol utilized a high-frequency 3D ultrasound system combined with a linear stepper motor, which enabled precise and rapid image acquisition. For image analysis, an advanced AI-based segmentation process using a modified U-net algorithm was implemented to perform real-time, high-resolution segmentation and three-dimensional reconstruction of the urethra. A comparative analysis was performed against the surgically measured stricture lengths. Spearman's correlation analysis was executed to assess the findings. RESULTS: The AI model completed the entire processing sequence, encompassing recognition, segmentation, and reconstruction, within approximately 5 min. The mean intraoperative length of urethral stricture was determined to be 14.4 ± 8.4 mm. Notably, the mean lengths of the urethral strictures reconstructed by manual and AI models were 13.1 ± 7.5 mm and 13.4 ± 7.2 mm, respectively. Interestingly, no statistically significant disparity in urethral stricture length between manually reconstructed and AI-reconstructed images was observed. Spearman's correlation analysis underscored a more robust association of AI-reconstructed images with intraoperative urethral stricture length than manually reconstructed 3D images (0.870 vs. 0.820). Furthermore, AI-reconstructed images provided detailed views of the corpus spongiosum fibrosis from multiple perspectives. CONCLUSIONS: The research heralds the inception of an innovative, efficient AI-driven sonographic approach for three-dimensional visualization of urethral strictures, substantiating its viability and superiority in clinical application.