Validation of 3D volumetric-based renal function prediction calculator for nephron sparing surgery. Academic Article uri icon

Overview

abstract

  • OBJECTIVE: To evaluate a recently published volume-based renal function prediction calculator intended to be used in small renal mass surgical counseling. METHODS: Retrospective data collection included three-dimensional calculation of renal mass and parenchyma of patients who have undergone extirpative therapy. The predicted glomerular filtration rate (GFR) was calculated using the online calculator. The predicted GFR was compared with the actual 6-month GFR. The Pearson correlation coefficient, paired t test and root-mean-square error (RMSE) are utilized for statistical analysis. RESULTS: After institutional review board approval, three institutions provided data for analysis. After patients with renal mass size >300 cc, renal size >400 cc or preoperative CKD ≥stage 3 had been excluded, we retrospectively analyzed data from 136 patients. The median mass volume was 22.2 cc (IQR 7-49). In multiple linear regression analysis, the most significant variables predicting postoperative GFR were partial versus radical nephrectomy and preoperative GFR with an overall R2 of .68 (F = 26.13, P < .001). The predicted GFR was 75.4 mL/min/1.73 m2 compared to an actual GFR of 70.7 mL/min/1.73 m2 (P < .001, paired t test). The predicted GFR was highly correlated with the actual postoperative GFR at 6 months (Pearson correlation, r = .65, P < .001). RMSE of the validation cohort was 16.87. CONCLUSIONS: The predictive tool to determine renal function benefit of nephron sparing surgery compared to radical nephrectomy online calculator effectively predicts GFR and could potentially be used to help urologists and patients discuss renal function prior to extirpative renal surgery.

publication date

  • February 4, 2017

Research

keywords

  • Carcinoma, Renal Cell
  • Glomerular Filtration Rate
  • Kidney
  • Kidney Neoplasms

Identity

PubMed Central ID

  • PMC5589462

Scopus Document Identifier

  • 85011628934

Digital Object Identifier (DOI)

  • 10.1007/s11255-017-1525-y

PubMed ID

  • 28161843

Additional Document Info

volume

  • 49

issue

  • 4