Kaitlynn Custer
Papers
4
Total Citations
354
H-Index
4
About
Kaitlynn Custer is a leading researcher in urologic oncology, with a primary focus on improving surgical outcomes for patients undergoing partial nephrectomy for renal cell carcinoma. Her most impactful contribution is the development of the Mayo Adhesive Probability (MAP) score, a pioneering image-based system that accurately predicts adherent perinephric fat prior to surgery. This work, published in 2014 and cited over 290 times, has become a critical tool for surgeons planning robotic-assisted partial nephrectomies, helping to anticipate operative complexity and reduce complications. Custer further validated this scoring system in a prospective study, demonstrating its association with perioperative outcomes. She has also investigated factors influencing prolonged hospital stays after robotic-assisted partial nephrectomy, leading to a clinical scoring system to predict length of stay. Additionally, her work comparing quality-of-life survey response rates between renal cell carcinoma and prostate cancer patients highlights her commitment to patient-centered outcomes. Through these contributions, Custer has significantly advanced the precision and safety of nephron-sparing surgery, providing urologists with evidence-based tools to optimize preoperative planning and postoperative recovery.
Research Focus
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Top Papers
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