Hanske J, Risse Y, Roghmann F, et al. - Findings demonstrate a likely substantial impact of robotic-driven software registration with elastic fusion on the detection of prostate cancer (PCa); an observation that is contrary to existing literature.

• Using instructional retrospective biopsy data obtained between September 2013 and August 2017, a total of 241 men with at least one suspicious lesion [Prostate Imaging-Reporting and Data System  ≥  3 (PI-RADS ≥ 3)] on multiparametric MRI who had fusion prostate biopsy were included and analyzed.

• Overall 1,048 targeted biopsy cores were performed by an experienced urologist; 45% cores were acquired via rigid processing, while the rest 55% cores depended on elastic image processing.

• Higher odds of detecting clinically significant PCa (csPCa) were noted in relation to age, prostate-specific antigen, and PIRADS ≥ 3 lesion, in multivariable regression analyses.

• Results showed an independent link of elastic software-based image processing with a higher overall PCa (odds ratio [OR] = 3.6 [2.2–6.1]) and csPCa (OR = 4.8 [2.6–8.8]) finding, respectively.