Predictive Value of MAP in Surgical Risks of Robot-Assisted Partial Nephrectomy(RAPN)for T1a Renal Tumors

WANG Chao; JIANG Huamao

doi:10.3969/j.issn.2096-305X.2025.06.010

Abstract：Objective This study aims to deeply explore the clinical practical value of the Mayo Adhesive Probability(MAP)score in the preoperative evaluation of laparoscopic partial nephrectomy(LPN).It breaks through the limitation of traditional studies that only focus on tumor-specific characteristics and emphasizes the crucial but often overlooked factor of perirenal fat adhesion.Methods Through an in-depth retrospective analysis of the detailed data of 116 patients who underwent LPN in the Department of Urology of the First Affiliated Hospital of Jinzhou Medical University,the patients were divided into a low-score group(0～3 points,76 cases in total)and a high-score group(4～5 points,40 cases in total)according to the MAP scoring criteria.The MAP score was innovatively correlated with multiple peri-operative indicators to precisely explore the internal relationships between the MAP score and key peri-operative indicators such as operation time and intraoperative blood loss.Results For the 116 patients,the average operation time was(140.51±42.31)minutes,the intraoperative blood loss was(176.73±83.57)milliliters,and the renal warm ischemia time was(23.55±5.36)minutes.Compared with the low-MAP-score group,patients in the high-score group had a higher body mass index(BMI),a longer operation time,and more intraoperative blood loss.However,there were no statistically significant differences in the intraoperative blood transfusion rate,the proportion of Clavien-Dindo grade Ⅱ surgical complications,and the serum creatinine level before discharge.The MAP score was significantly correlated with the operation time and blood loss of LPN and was an independent predictor of the operation time.Conclusion The MAP score can predict the operation time and blood loss of LPN,providing a new perspective and strong evidence for clinical accurate prediction of surgical conditions.This study also clearly indicates that large-sample and multi-center studies are needed for further verification,pointing out the direction for follow-up research.