V. Kasivisvanathan

Critical appraisal of artificial intelligence studies for prostate cancer detection on MRI.

The application of artificial intelligence (AI) to prostate MRI for clinically significant prostate cancer (csPCa) detection is an active area of medical imaging research. Yet, methodological deficiencies can undermine the reliability and clinical translatability of many published studies. This perspective provides a s...

Stage migration in prostate cancer: the role of PSMA-PET in identifying oligometastatic disease.

Validating the biological origin of in vivo fractional intracellular volume from VERDICT-MRI in the prostate

Findings support in vivo VERDICT fIC as a noninvasive biomarker of prostate epithelial microstructure and show promise for wider clinical use, improving the detection rate of clinically significant PCa, reducing unnecessary biopsies, and allowing better risk stratification.

Active surveillance for intermediate-risk prostate cancer: a systematic review and pooled analysis.

Growing evidence suggests that AS appears oncologically safe in well-selected patients, and magnetic resonance imaging will play a key role in the appropriate selection and follow-up of patients.