From a clinical, morphological and molecular perspective, prostate cancer is a
heterogeneous disease. Primary prostate cancers are often multifocal, having …

Dendritic polymers have highly branched three‐dimensional architectures, the fourth type
apart from linear, cross‐linked, and branched one. They possess not only a large number of …

Artificial intelligence (AI) is a disruptive technology that involves the use of computerised
algorithms to dissect complicated data. Among the most promising clinical applications of AI …

In the pre-PSA-detection era, a large proportion of men were diagnosed with metastatic
prostate cancer and died of the disease; after the introduction of the serum PSA test …

Magnetic resonance imaging (MRI) is a non-invasive imaging technology to diagnose health
conditions, showing the weakness of low sensitivity. Herein, we synthesize a contrast agent …

The promise of highly personalized oncology care using artificial intelligence (AI)
technologies has been forecasted since the emergence of the field. Cumulative advances …

Context The variability of the positive predictive value (PPV) represents a significant factor
affecting the diagnostic performance of multiparametric magnetic resonance imaging …

The practice of radical prostatectomy for treating prostate cancer has evolved remarkably
since its general introduction around 1900. Initially described using a perineal approach, the …

Background Clinically significant prostate cancer (PCa) diagnosis at MRI requires accurate
and efficient radiologic interpretation. Although artificial intelligence may assist in this task …

Microstructure imaging seeks to noninvasively measure and map microscopic tissue
features by pairing mathematical modeling with tailored MRI protocols. This article reviews …