Radiomics and Prostate MRI: Current Role and Future Applications

Journal of Imaging

Alessandro Stefano¹  Letterio Sturiale²  Natale Quartuccio²  Gaspare Arnone²  Albert Comelli³  Mauro Calamia⁴  Federica Vernuccio⁴  Massimo Midiri⁴  Cesare Gagliardo⁴  Giuseppe Cutaia⁴  GiuseppeLa Tona⁴  Francesco Agnello⁴  Giuseppe Salvaggio⁴  Leonardo Salvaggio⁴ 

[1] Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, Italy;Nuclear Medicine Unit, ARNAS Ospedali Civico, Di Cristina e Benfratelli, 90133 Palermo, Italy;Ri.Med Foundation, Via Bandiera, 11, 90133 Palermo, Italy;Section of Radiology, BiND, University Hospital “Paolo Giaccone”, University of Palermo, Via del Vespro 129, 90127 Palermo, Italy;

关键词: prostate cancer;    artificial intelligence;    multiparametric magnetic resonance imaging;    Gleason score;    neoplasm recurrence;    local;   

DOI  :  10.3390/jimaging7020034

来源: DOAJ

【 摘 要 】

Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to prostate cancer staging. Radiomics is the quantitative extraction and analysis of minable data from medical images; it is emerging as a promising tool to detect and categorize prostate lesions. In this paper we review the role of radiomics applied to prostate mpMRI in detection and localization of prostate cancer, prediction of Gleason score and PI-RADS classification, prediction of extracapsular extension and of biochemical recurrence. We also provide a future perspective of artificial intelligence (machine learning and deep learning) applied to the field of prostate cancer.

【 授权许可】

Unknown