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Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis

Christopher S. Lim, Jorge Abreu‐Gomez, Rebecca E. Thornhill, Nick James, Ahmed Al Kindi, Andrew Lim, Nicola Schieda

2021Abdominal Radiology36 citationsDOI

Topics & Concepts

MedicineEffective diffusion coefficientProstate cancerReceiver operating characteristicMultiparametric MRIRadiologyDiffusion MRIBiopsyNuclear medicineProstateHistopathologyMagnetic resonance imagingCancerPathologyInternal medicineProstate Cancer Diagnosis and TreatmentMRI in cancer diagnosisProstate Cancer Treatment and Research
Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis | Litcius