Colleen S. Thomas
Papers
4
Total Citations
374
H-Index
3
About
Colleen S. Thomas is a leading biostatistician and researcher whose work has significantly advanced urologic oncology and surgical outcomes. Her primary research areas include predictive imaging, robotic surgery, and patient-centered care in urology. Thomas is best known for her pivotal role in developing the Mayo Adhesive Probability (MAP) Score, an image-based system that accurately predicts adherent perinephric fat prior to partial nephrectomy—a tool that has transformed surgical planning and is cited over 294 times. She also led a prospective evaluation of how adherent perinephric fat affects perioperative outcomes in robotic-assisted partial nephrectomy, providing critical evidence for risk stratification. Beyond surgical prediction, Thomas has investigated the diffusion of robotic technology into urologic practice, demonstrating its positive impact on resident training and skill acquisition. Her work on virtual reality as a counseling adjunct for patients with localized prostate cancer reflects her commitment to innovative, patient-centered approaches. With a career marked by high-impact studies and a focus on translating complex data into actionable clinical tools, Thomas continues to shape evidence-based practice in urology.
Research Focus
Key Achievements
Top Papers
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