Leslie Ciancibello
Papers
1
Total Citations
4
H-Index
1
About
Leslie Ciancibello is a researcher whose work sits at the intersection of surgical oncology and medical imaging, with a particular focus on improving outcomes in robotic surgery for gynecologic cancers. Her most-cited study, "Computed Tomography Morphometrics and Pulmonary Intolerance in Endometrial Cancer Robotic Surgery" (2016), demonstrates her commitment to using preoperative imaging—specifically CT-based body composition analysis—to predict patient tolerance and reduce complications in minimally invasive procedures. By linking morphometric data to pulmonary risk, Ciancibello’s research helps surgeons tailor their approach to individual patients, enhancing safety in robotic hysterectomies. While her citation count is modest, her work addresses a critical gap in perioperative risk stratification, offering a practical tool for clinicians. This contribution underscores her broader interest in leveraging quantitative imaging to refine surgical decision-making. For students and researchers exploring the intersection of radiology and surgical planning, Ciancibello’s study provides a clear example of how morphometrics can translate into actionable clinical insights, paving the way for more personalized, data-driven care in oncology.
Research Focus
Key Achievements
Top Papers
- 1