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Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study.

Nini PanLiuyan ShiDiliang HeJianxin ZhaoLianqiu XiongLili MaJing LiKai AiLianping ZhaoGang Huang
Published in: Discover oncology (2024)
MRI radiomics models are suitable for predicting GS and positive needles of systematic biopsy in PCa. The models can be used to identify aggressive PCa using a noninvasive, repeatable, and accurate diagnostic method.
Keyphrases
  • contrast enhanced
  • magnetic resonance imaging
  • prostate cancer
  • lymph node metastasis
  • computed tomography
  • radical prostatectomy
  • diffusion weighted imaging
  • high resolution
  • fine needle aspiration