Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
Vilma BozgoChristian RoestInge van OortDerya YakarHenkjan HuismanMaarten de RooijPublished in: European radiology (2024)
Active surveillance is currently based on diagnostic tests such as PSA, biopsy, and imaging. Prostate MRI and AI demonstrate promising diagnostic accuracy across a variety of tasks, including the localization, follow-up and risk estimation in active surveillance cohorts. A transition to AI-based active surveillance is not currently realistic; larger studies using standardized inclusion criteria and outcomes are necessary to improve and validate existing evidence.
Keyphrases
- artificial intelligence
- prostate cancer
- machine learning
- big data
- contrast enhanced
- deep learning
- magnetic resonance imaging
- benign prostatic hyperplasia
- radical prostatectomy
- diffusion weighted imaging
- high resolution
- working memory
- magnetic resonance
- type diabetes
- case control
- mass spectrometry
- fine needle aspiration