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Renal Oncocytoma: An Algorithm for Diagnosis and Management

Authors :
Martin Mouton
Louise Alechinsky
Eva Comperat
Maher Abdessater
Anthony Kanbar
Philippe Sebe
Adrien Dupont-Athenor
Service d'Urologie [CHU Pitié-Salpêtrière]
CHU Pitié-Salpêtrière [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)
Groupe Hospitalier Diaconesses Croix Saint-Simon
Sorbonne Université - Faculté de Médecine (SU FM)
Sorbonne Université (SU)
CHU Tenon [AP-HP]
Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Source :
Urology, Urology, Elsevier, 2020, 143, pp.173-180. ⟨10.1016/j.urology.2020.05.047⟩
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

International audience; Renal oncocytoma is an uncommon tumor that exhibits numerous features which are characteristic but not necessarily unique. Percutaneous biopsy is a safe method of diagnosis. However, differentiation from other tumor subtypes often requires sophisticated analysis and is not universally feasible. This is why, surgical management can be considered as a first-line treatment or after surveillance. Potential triggers for change in management are: tumor size >3 cm, stage progression, kinetics of size progression (>5 mm/y), and clinical change in patient or tumor factors. Long-term follow-up data are lacking and greater centralization should be considered to reach adequate management.

Details

ISSN :
00904295
Volume :
143
Database :
OpenAIRE
Journal :
Urology
Accession number :
edsair.doi.dedup.....0bf817007bb746e8fb4155ed5a658757