Uday Patel

Papers

Total Citations

H-Index

About

Uday Patel is a leading figure in urological imaging, whose work has fundamentally reshaped the diagnosis and surgical planning for prostate cancer. His research centers on the integration of high-field 3-Tesla magnetic resonance imaging (MRI) into the pre-biopsy workflow, a paradigm shift that has moved the field away from blind systematic biopsies toward targeted, image-guided approaches. Patel’s landmark 2016 study, cited 17 times, demonstrated that pre-biopsy 3T MRI with targeted biopsy could accurately characterize the index prostate cancer lesion, correlating its location and extent with findings from robot-assisted radical prostatectomy. This work proved that precise anatomical mapping from MRI directly translates into improved surgical outcomes, notably a reduction in positive surgical margin rates. By enabling surgeons to plan nerve-sparing and margin-negative resections with greater confidence, Patel has helped bridge the gap between radiology and operative oncology. His contributions have been instrumental in establishing MRI-targeted biopsy as a standard of care, ultimately improving the precision of prostate cancer management and reducing unnecessary treatment morbidity.