Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy

• Published in: Scientific reports Vol. 11; no. 1; p. 22526
• Main Authors: Ohsugi, Haruyuki, Akiyama, Kyojiro, Taniguchi, Hisanori, Yanishi, Masaaki, Sugi, Motohiko, Matsuda, Tadashi, Kinoshita, Hidefumi
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 18.11.2021; Nature Publishing Group UK; Nature Portfolio
• Subjects: Aged; Area Under Curve; Classification; Computed tomography; Confidence intervals; Endophytes; Epidermal growth factor receptors; Female; Glomerular Filtration Rate; Humans; Kidney - pathology; Kidney - surgery; Kidney diseases; Kidney Neoplasms - pathology; Kidney Neoplasms - surgery; Male; Middle Aged; Morbidity; Multivariate Analysis; Nephrectomy; Nephrectomy - methods; Patients; Postoperative Period; Renal function; Retrospective Studies; Robotic surgery; Robotic Surgical Procedures - methods; Robotics; Severity of Illness Index; Sinuses; Tumor Burden; Tumors
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-01539-1

There are several nephrometry scoring systems for predicting surgical complexity and potential perioperative morbidity. The R.E.N.A.L. scoring system, one of the most well-known nephrometry scoring systems, emphasizes the features on which it is based (Radius, Exophytic/endophytic, Nearness to collecting system or sinus, Anterior/posterior, and Location relative to polar lines). The ability of these nephrometry scoring systems to predict loss of renal function after robotic partial nephrectomy (RPN) remains controversial. Therefore, we verified which combination of factors from nephrometry scoring systems, including tumor volume, was the most significant predictor of postoperative renal function. Patients who underwent RPN for cT1 renal tumors in our hospital were reviewed retrospectively (n = 163). The preoperative clinical data (estimated glomerular filtration rate [eGFR], comorbidities, and nephrometry scoring systems including R.E.N.A.L.) and perioperative outcomes were evaluated. We also calculated the tumor volume using the equation applied to an ellipsoid by three-dimensional computed tomography. The primary outcome was reduced eGFR, which was defined as an eGFR reduction of ≥ 20% from baseline to 6 months after RPN. Multivariable logistic regression analyses were used to evaluate the relationships between preoperative variables and reduced eGFR. Of 163 patients, 24 (14.7%) had reduced eGFR. Multivariable analyses indicated that tumor volume (cutoff value ≥ 14.11 cm , indicating a sphere with a diameter ≥ approximately 3 cm) and tumor crossing of the axial renal midline were independent factors associated with a reduced eGFR (odds ratio [OR] 4.57; 95% confidence interval [CI] 1.69-12.30; P = 0.003 and OR 3.50; 95% CI 1.30-9.46; P = 0.034, respectively). Our classification system using these two factors showed a higher area under the receiver operating characteristic curve (AUC) than previous nephrometry scoring systems (AUC = 0.786 vs. 0.653-0.719), and it may provide preoperative information for counseling patients about renal function after RPN.