About

Megan S. Bradley is a leading urogynecologist and surgical researcher whose work centers on minimally invasive treatments for pelvic organ prolapse, robotic surgical technique, and surgical education. She has made significant contributions to the understanding and optimization of sacrocolpopexy — a procedure to correct vaginal vault prolapse — with particular focus on how surgical variables influence patient outcomes. Her research has rigorously examined the role of mesh weight in determining long-term anatomic success, revealing important nuances in material selection that directly inform clinical decision-making. Bradley has also investigated rare but serious complications of sacrocolpopexy, including sacral osteomyelitis and discitis, helping define their incidence and associated risk factors. Beyond her clinical research, she has advanced the field of surgical training by demonstrating meaningful correlations between virtual reality simulation and dry lab robotic technical skills, supporting the integration of simulation-based learning into surgical education curricula. Her body of work, which has accumulated over 150 citations, reflects a commitment to refining robotic surgical practice from both a technical and educational standpoint. Her early work documenting the adoption of robotic sacrocolpopexy at an academic institution further underscores her role as a pioneer in bringing emerging technologies into structured fellowship training programs.

Research Focus

Key Achievements

6
H-Index
10
Papers
156
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted sacrocolpopexy: early postoperative outcomes after surgical reduction of enlarged genital hiatus
37 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: University of Pittsburgh Medical Center, Duke University, Magee-Womens Hospital, Duke Medical Center, University of Pittsburgh, Magee-Womens Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago