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World J Hepatol. Aug 27, 2014; 6(8): 580-595
Published online Aug 27, 2014. doi: 10.4254/wjh.v6.i8.580
Pictures of focal nodular hyperplasia and hepatocellular adenomas
Christine Sempoux, Charles Balabaud, Paulette Bioulac-Sage
Christine Sempoux, Service d’Anatomie Pathologique, Cliniques universitaires Saint Luc, Université catholique de Louvain, 1200 Brussels, Belgium
Charles Balabaud, Paulette Bioulac-Sage, Inserm U 1053, Université Bordeaux Segalen, 33076 Bordeaux cedex, France
Author contributions: Sempoux C, Balabaud C,Bioulac-Sage P selected the photographs and wrote the paper.
Supported by Association pour la Recherche sur le Cancer, No. 3194
Correspondence to: Dr. Paulette Bioulac-Sage, Inserm U1053, Université Bordeaux Segalen, 146 Rue Léo Saignat, 33076 Bordeaux Cedex, France. paulette.bioulac-sage@chu-bordeaux.fr
Telephone: + 32-276-46764 Fax: + 32-276-46934
Received: February 12, 2013
Revised: June 10, 2013
Accepted: August 19, 2013
Published online: August 27, 2014
Processing time: 562 Days and 11.8 Hours
Core Tip

Core tip: In this paper are illustrated macroscopic and microscopic aspects of focal nodular hyperplasia and hepatocellular adenoma. These illustrations represent typical as well as less usual aspects of these two benign hepatocellular tumors. Microscopic pictures are performed using classical routine stains such as HE, trichrome or cytokeratin 7 or less usual markers proven of great interest to identify focal nodular hyperplasia (FNH) such as glutamine synthase or liver fatty acid briding protein, C reactive protein or b catenin to identify hepatocyte nuclear factor 1 alpha mutated hepatocellular adenoma (HCA), inflammatory HCA, β-catenin mutated HCA respectively. These illustrations combined with brief clinical information should be helpful for pathologists for their practice. Indeed if FNH are rather frequent tumor easy to recognize, there are difficulties when key features are lacking or when features such as steatosis or sinusoidal dilatation, features of HCA, are present. The great message of this paper is the possibility to identify HCA subtypes, a key feature for the coming years to better manage patients.