Multiparametric MRI and radiomics in prostate cancer: a review.
Yu SunHayley M ReynoldsBimal ParameswaranDarren WraithMary E FinneganScott WilliamsAnnette HaworthPublished in: Australasian physical & engineering sciences in medicine (2019)
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging with one or more functional MRI sequences. It has become a versatile tool for detecting and characterising prostate cancer (PCa). The traditional role of mpMRI was confined to PCa staging, but due to the advanced imaging techniques, its role has expanded to various stages in clinical practises including tumour detection, disease monitor during active surveillance and sequential imaging for patient follow-up. Meanwhile, with the growing speed of data generation and the increasing volume of imaging data, it is highly demanded to apply computerised methods to process mpMRI data and extract useful information. Hence quantitative analysis for imaging data using radiomics has become an emerging paradigm. The application of radiomics approaches in prostate cancer has not only enabled automatic localisation of the disease but also provided a non-invasive solution to assess tumour biology (e.g. aggressiveness and the presence of hypoxia). This article reviews mpMRI and its expanding role in PCa detection, staging and patient management. Following that, an overview of prostate radiomics will be provided, with a special focus on its current applications as well as its future directions.
Keyphrases
- prostate cancer
- contrast enhanced
- high resolution
- magnetic resonance imaging
- radical prostatectomy
- electronic health record
- big data
- healthcare
- randomized controlled trial
- computed tomography
- squamous cell carcinoma
- magnetic resonance
- oxidative stress
- machine learning
- systematic review
- diffusion weighted imaging
- pet ct