The integration of multiparametric magnetic resonance imaging (mpMRI) with transperineal targeted biopsy has established a new standard for prostate cancer diagnosis. However, clinical evidence, including findings from the previous IMAGINATION trial, suggests that the diagnostic accuracy of manual targeted biopsy techniques degrades significantly in patients with high Body Mass Index (BMI).
Deep perineal adiposity creates a "hostile anatomical environment." It increases the skin-to-apex distance and introduces a "fulcrum effect," where the extensive soft tissue acts as a pivot point that amplifies manual tremors and restricts the operator's physical ability to steer the transperineal probe accurately. This mechanical barrier contributes to the "Obesity Paradox," wherein men with obesity face a higher risk of harboring undiagnosed, advanced high-grade prostate cancer.
The ROBUST (Robotic Optimization for Biopsy Under Substantial Tissue) trial is an investigator-initiated, international, multicenter, randomized controlled trial designed to determine if robotic stabilization can serve as a "technical equalizer" for this specific anatomical challenge.
Unlike conventional device trials, ROBUST utilizes a Bayesian adaptive hierarchical non-inferiority to superiority design. It aims to test whether robotic-assisted fusion biopsy is strictly non-inferior (with a -5% margin), and subsequently superior, to expert cognitive fusion biopsy. To rigorously isolate the impact of mechanical stabilization from operator inexperience, the control arm explicitly represents "peak human performance," mandating that human operators be credentialed experts with a documented history of >500 total prostate biopsies and >200 cognitive fusion targeted cases.
To eliminate performance bias and placebo effects on patient-reported outcomes (such as procedural anxiety and pain), the trial implements a strict single-blind (patient-blinded) protocol. A high surgical drape and noise-canceling headphones are utilized to completely mask the distinct motor operations of the robotic platform from the participant.
Furthermore, to mitigate the inherent recruitment fatigue associated with this highly specific demographic, the study incorporates a Bayesian sequential monitoring framework. An independent Data Safety Monitoring Board (DSMB) will evaluate Posterior Probability and Predictive Probability of Success (PPOS) at predefined interim looks (N=200, 300, and 400). This allows the trial to be halted early for either overwhelming efficacy or objective futility. By strictly targeting the "stress test" population, ROBUST seeks to provide Level 1 evidence for a risk-stratified precision diagnostic pathway, evaluating whether high-cost robotic technology is an absolute clinical necessity for men with obesity.
