Clinical Significance of Preoperative Image Classification Systems in Robot-Assisted Laparoscopic Partial Nephrectomy

Abstract

Robot-assisted laparoscopic partial nephrectomy (RAPN) is being used in Japan as a less invasive procedure. RENAL nephrometry (RN) score, Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) Classification and Simplified PADUA Renal (SPARE) nephrometry system are tumor-specific morphometry scoring systems used for predicting the difficulty of partial nephrectomy. Adherent perinephric fat (APF) is one of the patient-specific factors related to the difficulty of partial nephrectomy. Mayo Adhesive Probability (MAP) score measures the difficulty of partial nephrectomy due to APF. Whether these scoring systems were associated with perioperative outcome of RAPN was retrospectively analyzed in 57 patients who underwent RAPN by two experienced surgeons at our hospital from December 2016 to March 2020. Forty-five patients were male and 12 were female. The right side was resected in 25 and the left side in 32 patients. The approach was transperitoneal in 42 and retroperitoneal in 15 patients. There were significant correlations among RN, PADUA and SPARE scores, while MAP score was independent from the other scores. Warm ischemic time was significantly correlated with RN (r＝0.46, p＜0.001), PADUA (r＝0.45, p＜0.001) and SPARE scores (r＝0.44, p＜0.001). Time for console was significantly correlated with MAP score (r＝0.28, p＝0.035). In conclusion, RN and MAP scores might be useful parameters to predict warm ischemic time and time for console during RAPN, respectively.