Papers
2
Total Citations
103
H-Index
2
About
Hussam Dababneh is a urological surgeon and researcher whose work centers on advancing the surgical management of prostate cancer, particularly through the refinement of robot-assisted radical prostatectomy (RARP). His key research areas include the integration of multiparametric magnetic resonance imaging (mpMRI) to guide nerve-sparing techniques, and the optimization of surgical training to shorten learning curves. His most cited paper (87 citations) demonstrates how mpMRI can preoperatively map prostatic cancer anatomy, enabling surgeons to better preserve neurovascular bundles during RARP—a critical factor for postoperative potency and continence. In a complementary study (16 citations), Dababneh showed that a structured, intensive modular training program can accelerate the RARP learning curve, helping surgeons achieve proficiency in fewer cases. This work has practical implications for surgical education and patient outcomes. By bridging imaging precision with surgical technique, Dababneh contributes to the growing movement toward personalized, anatomy-driven prostate cancer surgery. His research is especially valuable for trainees and practicing urologists seeking evidence-based strategies to improve both oncologic and functional results in men undergoing robotic prostatectomy.
Research Focus
Key Achievements
Top Papers
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