With this review, we aimed to provide a synopsis of recently proposed applications of machine
learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI). After …

Background Radiomics have the potential to further increase the value of MRI in prostate
cancer management. However, implementation in clinical practice is still far and concerns have …

… 1.73 m 2 per year in patients with an eGFR higher and lower than 60 ml/min per 1.73 m 2 , …
of eGFR, averaging 1.68 mL/min/1.73 m 2 /year in patients with baseline proteinuria < 0.50 g/…

BACKGROUND It is common protocol in radionuclide therapies to administer a tracer dose
of a radiopharmaceutical, determine its lesion uptake and biodistribution by gamma imaging, …

Objectives : The purpose of this paper was to determine whether microRNAs (miRNAs)
involved in myocardial remodeling were differentially expressed in the blood of hypertrophic …

… Adult (>18 years) patients with estimated glomerular filtration rate (GFR) of 40 mL/min per
1·73 m 2 or higher were randomly assigned (central allocation by phone with a computerised …

Purpose: To evaluate the prognostic significance of a bone scan index (BSI) based on the
weighted proportion of tumor involvement in individual bones, in relation to other factors and …

In this report, we describe a method for quantitative bone scan interpretation (the Bone Scan
Index or BSI) in advanced prostate cancer. The BSI estimates the fraction of the skeleton …

Background Prostate volume, as determined by magnetic resonance imaging (MRI), is a
useful biomarker both for distinguishing between benign and malignant pathology and can be …

Objectives The aim of this study was to systematically review the literature and perform a
meta-analysis of machine learning (ML) diagnostic accuracy studies focused on clinically …