Artificial intelligence trained with integration of multiparametric MR-US imaging data and fusion biopsy trajectory-proven pathology data for 3D prediction of prostate cancer: A proof-of-concept study.
Masatomo KanekoNorio FukudaHitomi NaganoKaori YamadaKei YamadaEiichi KonishiYoshinobu SatoOsamu UkimuraPublished in: The Prostate (2022)
We presented a novel pilot AI algorithm for 3D prediction of PCa. AI was trained by integration of multiparametric MR-US image data and fusion biopsy trajectory-proven pathology data. This deep learning AI model may more precisely predict the 3D mapping of CSCa in its volume and center location than a radiologist's reading based on PI-RADS version 2, and has potential in the planning of focal therapy.
Keyphrases
- artificial intelligence
- deep learning
- big data
- machine learning
- prostate cancer
- electronic health record
- high resolution
- magnetic resonance
- magnetic resonance imaging
- ultrasound guided
- data analysis
- clinical trial
- randomized controlled trial
- radical prostatectomy
- resistance training
- stem cells
- fine needle aspiration
- fluorescence imaging
- climate change
- psychometric properties