Impact of prostatic shape on the difficulty of robot-assisted laparoscopic radical prostatectomy.

INTRODUCTION: To investigate the impact of prostatic shape observed on preoperative magnetic resonance imaging (MRI) on the difficulty of robot-assisted laparoscopic radical prostatectomy (RALP). METHODS: We retrospectively reviewed the operative records of 211 patients who underwent RALP. We excluded patients who received neoadjuvant therapy. All surgeries in this study were performed by two surgeons. Each patient clinicopathological and surgical data were reviewed. Prostate sphericity was evaluated by measuring the roundness of the prostate at the largest axial slice by MRI. The console time was adopted as an objective indicator for assessing surgical difficulty. RESULTS: The mean prostate volume was 34 cc (range 14-88) and the mean prostate roundness was 0.55 (range 0.24-0.90). The mean console time was 194 min (range 95-296). To assess the relationship between prostate volume and console time, scatter plot analysis was performed. The prostate volume had a weak positive correlation with the console time (r = .165, p = .016). Similarly, scatter plot analysis between the prostate roundness and console time demonstrated a weak positive correlation (r = .167, p = .015). Next, we performed subgroup analysis of 56 patients with a large prostate volume (≥40 cc), and the positive correlation between the prostate volume and the console time disappeared (r = .142, p = .296). On the other hand, the prostate roundness was more strongly correlated with the console time (r = .439, p = .001). CONCLUSIONS: The spherical shape of the prostate is associated with the surgical difficulty of RALP, especially in patients with a large prostate volume.

Three-dimensional imaging of upper tract urothelial carcinoma improves diagnostic yield and accuracy.

Upper tract urothelial carcinoma (UTUC) is a rare form of urothelial cancer with a high incidence of recurrence and a low survival rate. Almost two-thirds of UTUCs are invasive at the time of diagnosis; therefore, improving diagnostic methods is key to increasing survival rates. Histopathological analysis of UTUC is essential for diagnosis and typically requires endoscopy biopsy, tissue sectioning, and labeling. However, endoscopy biopsies are minute, and it is challenging to cut into thin sections for conventional histopathology; this complicates diagnosis. Here, we used volumetric 3-dimensional (3D) imaging to explore the inner landscape of clinical UTUC biopsies, without sectioning, revealing that 3D analysis of phosphorylated ribosomal protein S6 (pS6) could predict tumor grade and prognosis with improved accuracy. By visualizing the tumor vasculature, we discovered that pS6+ cells were localized near blood vessels at significantly higher levels in high-grade tumors than in low-grade tumors. Furthermore, the clustering of pS6+ cells was associated with shorter relapse-free survival. Our results demonstrate that 3D volume imaging of the structural niches of pS6 cells deep inside the UTUC samples improved diagnostic yield, grading, and prognosis prediction.