|ECR 2018 / C-1838|
|Multiparametric MRI in prostate cancer: a radiomic study on different diffusion and perfusion models|
Among perfusion features, parameters extracted by SSM have higher predictive performances than TM-derived.
A classifier that includes features extracted from DKI significantly improves the accuracy in cancer detection.
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Multiparametric MRI for detection of extracapsular extension in prostate cancer: combined use of PIRADSv2 criteria, biopsy Gleason score, and prostate-specific antigen density