Prostate cancer heterogeneity: texture analysis score based on multiple magnetic resonance imaging sequences for detection, stratification and selection of lesions at time of biopsy.
Clément OrczykArnauld VillersHenry RusinekVincent LepennecCéline BazilleFrancesco GigantiArtem MikheevMyriam BernaudinMark EmbertonAudrey FohlenSamuel ValablePublished in: BJU international (2019)
Capturing heterogeneity of prostate cancer across multiple MRI sequences with the ES yielded high performances for the detection and stratification of SPCa. The ES outperformed the VS in predicting positivity of lesions, holding promise in the selection of targets for biopsy and calling for further understanding of this association.
Keyphrases
- prostate cancer
- magnetic resonance imaging
- contrast enhanced
- radical prostatectomy
- loop mediated isothermal amplification
- single cell
- ultrasound guided
- label free
- real time pcr
- fine needle aspiration
- computed tomography
- magnetic resonance
- diffusion weighted imaging
- machine learning
- big data
- artificial intelligence
- sensitive detection