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Evaluating the Role of Morphological Parameters in the Prostate Transition Zone in PHI-Based Predictive Models for Detecting Gray Zone Prostate Cancer.

Yu-Hang QianYun-Tian ShiXu-Jun ShengHai-Hong LiaoYongjiang YuBo-Wen ShiYong-Jiang Yu
Published in: Clinical Medicine Insights. Oncology (2023)
Our data confirmed the value of prostate TZ morphological parameters and suggested a significant advantage for the TZ-adjusted PHI predictive model (PHI-TZD) compared with PHI and PHID in the early detection of gray zone csPCa under specific conditions.
Keyphrases
  • prostate cancer
  • radical prostatectomy
  • benign prostatic hyperplasia
  • deep learning