Open AccessA novel nephrometry scoring system for predicting peri-operative outcomes of retroperitoneal laparoscopic partial nephrectomy
Author(s) -
Bin Yang,
Lulin Ma,
Min Qiu,
Haizhui Xia,
Wei He,
Tian-Yu Meng,
Min Lu,
Jian Lu
Publication year - 2020
Publication title -
chinese medical journal/chinese medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 63
eISSN - 2542-5641
pISSN - 0366-6999
DOI - 10.1097/cm9.0000000000000668
Subject(s) - medicine , nephrectomy , adipose capsule of kidney , perioperative , univariate analysis , renal sinus , multivariate analysis , renal tumor , surgery , urology , radiology , kidney
Although the impact of tumor complexity on peri-operative outcomes has been well established using several nephrometry scoring systems, the impact of adherent perirenal fat remains poorly defined. This study aimed to develop a novel nephrometry scoring system for predicting the peri-operative outcomes of laparoscopic partial nephrectomy (LPN) by integrating and optimizing the RENAL score (RNS) and Mayo adhesive probability (MAP) score.