Download scientific evidence on oncology solutions using Canon technologies here.
MRI
Takahiro Ueda et al. | Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging | Radiology (2022)
https://pubmed.ncbi.nlm.nih.gov/35103536/
Riccardo Campa et al. | Improvement of prostate cancer detection combining a computer-aided diagnostic system with TRUS-MRI targeted biopsy | Abdom Radiol (NY) (2019)
https://pubmed.ncbi.nlm.nih.gov/30054684/
Ismini C Mainta et al. | The Effect of Neoadjuvant Androgen Deprivation Therapy on Tumor Hypoxia in High-Grade Prostate Cancer: An 18 F-MISO PET-MRI Study | Int J Radiat Oncol Biol Phys (2018)
https://pubmed.ncbi.nlm.nih.gov/29678527/
Gianluca Giannarini et al. | A Prospective Accuracy Study of Prostate Imaging Reporting and Data System Version 2 on Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer With Whole-mount Pathology | Urology (2019)
https://pubmed.ncbi.nlm.nih.gov/30273613/
Ultrasound
Jean-Michel Correas et al. | Advanced ultrasound in the diagnosis of prostate cancer | World J Urol (2021)
https://pubmed.ncbi.nlm.nih.gov/32306060/
Amina Jelidi et al. | Prostate cancer diagnosis: Efficacy of a simple electromagnetic MRI-TRUS fusion method to target biopsies | Eur J Radiol (2017)
https://pubmed.ncbi.nlm.nih.gov/28027738/