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Comparison of Percutaneous Renal Mass Biopsy and R.E.N.A.L. Nephrometry Score Nomograms for Determining Benign Vs Malignant Disease and Low-risk Vs High-risk Renal Tumors.

Authors :
Osawa T
Hafez KS
Miller DC
Montgomery JS
Morgan TM
Palapattu GS
Weizer AZ
Caoili EM
Ellis JH
Kunju LP
Wolf JS Jr
Source :
Urology [Urology] 2016 Oct; Vol. 96, pp. 87-92. Date of Electronic Publication: 2016 Jun 01.
Publication Year :
2016

Abstract

Objective: To compare the accuracies of renal mass biopsy (RMB) and R.E.N.A.L. nephrometry score (RNS) nomograms for predicting benign vs malignant disease, and low- vs high-risk renal tumors.<br />Materials and Methods: We included 281 renal masses in 277 patients who had complete RNS, preoperative RMB, and final pathology from renal surgery for clinically localized renal tumors. RMB and final pathology were determined to be benign or malignant, and malignancies were classified as low-risk (Fuhrman grade I/II) or high-risk (Fuhrman grade III/IV) (benign included in low-risk group). Previously published RNS nomograms were used to determine probabilities of any cancer and high-risk cancer. The gamma statistic was used to assess strength of association between RMB or RNS with final pathology.<br />Results: Of the 281 masses, 13 (5%) and 268 (95%) were confirmed benign and malignant, respectively, and 155 (55%) and 126 (45%) were confirmed low-risk and high-risk, respectively, on final pathology. The areas under the curve of the RNS nomograms for benign vs malignant disease and for low-risk vs high-risk renal tumors were 0.56 and 0.64, respectively. Concordances for predicting benign vs malignant disease were 99% for RMB (P < .01, gamma 0.99) and 29% for RNS nomogram (P = .16, gamma 0.38). Concordances for predicting low-risk vs high-risk renal tumors were 67% for RMB (P < .01, gamma 0.97) and 61% for RNS nomogram (P < .01, gamma 0.47), respectively.<br />Conclusion: Although RNS nomograms are useful for discriminating between benign vs malignant renal masses, and low-risk vs high-risk renal tumors, they are outperformed by RMB.<br /> (Copyright © 2016 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1527-9995
Volume :
96
Database :
MEDLINE
Journal :
Urology
Publication Type :
Academic Journal
Accession number :
27262393
Full Text :
https://doi.org/10.1016/j.urology.2016.05.044