Can Renal Mass F eatures on CT Predict Positive Margins? Nick N. Tadros , MD, Brian D. Duty, MD, Michael J. Conlin MD: Portland, OR Oregon Health Sciences University, Portland VA Medical Center. World Congress of Endourology October 22-26, 2013. Introduction
Nick N. Tadros, MD, Brian D. Duty, MD, Michael J. Conlin MD: Portland, OR
Oregon Health Sciences University, Portland VA Medical Center
World Congress of Endourology
October 22-26, 2013
The C-Index, PADUA, and RENAL nephrometry scores are three standardized scoring systems commonly used to quantify renal mass complexity, primarily for the purpose of surgical planning. These scoring systems are based upon tumor size and location. They do not take into account tumor characteristics such as heterogeneity and shape. The purpose of our study was to determine if renal mass features on computed tomography (CT) can predict margin status in patients undergoing partial nephrectomy.
Geometric Complexity Index
Baseline demographics (age, gender), tumor size, RENAL nephrometry score, treatment modality (open versus laparoscopic) did not differ between the two groups. On univariable (Table 1) and multivariable (Table 2) analysis, no difference was found between the two groups with regard to tumor heterogeneity, perinephric fat stranding, distinctness of the tumor/kidney interface, tumor geometric complexity and percentage of visceral fat.
Although no difference was found in tumor characteristics between patients with and without positive surgical margins, there was a trend towards significance for tumor geometric complexity (p= 0.099). We plan on expanding our sample size and evaluating geometric complexity as a predictor of pathologic (benign versus malignant, tumor subtype, tumor grade, and tumor stage) and surgical outcomes.