Correlation between renal tumor nephrometry score and tumor morphological characteristics: how can it help surgeons to choose the type of partial nephrectomy

Document Type : Original Article

Authors

1 Radiodiagnosis department faculty of medicine Zagazig University

2 Radiodiagnoais, faculty of medicine, Zagazig University, egypt

3 Radiodiagnosis, Faculty of medicine, Cairo University

Abstract

Background: Low complexity renal tumors would be good indications for partial laparoscopic nephrectomy (PLN) while partial open nephrectomy (PON) or even radical nephrectomy is indicated for higher grades. Many factors are associated with tumor complexity including tumor size, nearness to the sinus, endophyticity, polar location, inside description and hilar designation. This study aimed to investigate the potential value of nephrometry score as well as the solid renal masses morphology that help the urologist to decide the type of partial nephrectomy.

Results: Current prospective study included 40 patients according to the inclusion/exclusion criterion of the study. Postoperative histopathological examination revealed renal cell carcinoma (RCC) in 36 (26 patients were papillary RCC and 10 were clear cell RCCs), angiomyolipoma in 1, and oncocytoma in 3 patients. Males (33 patients) were affected more than females (7 patients), and left side (24 patients) were affected more than the right side (16 patients). Significant statistically differences noted regarding the tumor size, tumor endophyticity, tumor distance from the renal sinus, and R.E.N.A.L. nephrometry score were noticed between the partial laparoscopic nephrectomy and open partial nephrectomy patient groups. The R.E.N.A.L mean score was 6.3± 1.4 for PLN and was 8.1± 1.9 for partial open nephrectomy groups.

Conclusion: R.E.N.A.L nephrometry score, tumor size, endophyticity and distance from the sinus are important factors that affects surgical decision-making regarding laparoscopic or open partial nephrectomy.

Keywords

Main Subjects

Zagazig University Medical Journal
Volume 28, Issue 5
September 2022
Pages 1094-1104

Files

Share

How to cite

Statistics