title: Clinicopathological study of a series of 92 adrenocortical carcinomas: from a proposal of simplified diagnostic algorithm to prognostic stratification.
abstract: OBJECTIVE
  Pathological diagnosis of adrenocortical carcinoma relies on several microscopic features commonly used in combination in different scoring systems that are sometimes subjective and/or time consuming. The aim was to investigate the impact of individual pathological parameters in the diagnosis and prognosis of adrenocortical carcinoma.
  
  
  RESULTS
  The series included 92 malignant cases and a control series of 47 adenomas, all classified according to Weiss score criteria. The presence of disruption of the reticular network, as highlighted by histochemical staining, was present in all adrenocortical carcinomas and the inclusion of at least one of the three following additional parameters - mitotic index >5/50 high-power fields (HPF), presence of necrosis and presence of vascular invasion - gave an algorithm with 100% sensitivity and specificity to recognize malignant tumours according to the Weiss system, with easier and more practical applicability. Moreover, on multivariate analysis, stage III/IV and mitotic count >9/50 HPF showed a strong adverse impact on disease-free and overall survival, leading to the identification of three risk groups affected by a significantly different prognosis.
  
  
  CONCLUSIONS
  We have defined an easy-to-perform and highly specific and sensitive algorithm for the diagnosis and prognostic categorization of adrenocortical tumours.
authors.affiliation: Division of Pathology, Department of Clinical and Biological Sciences, University of Turin at San Luigi Hospital, Turin, Italy. marco.volante@unito.it
authors.forename: Marco
authors.initials: M
authors.lastname: Volante
authors.forename: Enrico
authors.initials: E
authors.lastname: Bollito
authors.forename: Paola
authors.initials: P
authors.lastname: Sperone
authors.forename: Veronica
authors.initials: V
authors.lastname: Tavaglione
authors.forename: Fulvia
authors.initials: F
authors.lastname: Daffara
authors.forename: Francesco
authors.initials: F
authors.lastname: Porpiglia
authors.forename: Massimo
authors.initials: M
authors.lastname: Terzolo
authors.forename: Alfredo
authors.initials: A
authors.lastname: Berruti
authors.forename: Mauro
authors.initials: M
authors.lastname: Papotti
mesh_terms: D000236:Adenoma / Q000473:pathology; D000306:Adrenal Cortex Neoplasms / Q000401:mortality / Q000473:pathology*; D018268:Adrenocortical Carcinoma / Q000401:mortality / Q000473:pathology*; D000465:Algorithms; D003937:Diagnosis, Differential; D018572:Disease-Free Survival; D006801:Humans; D011379:Prognosis; D016016:Proportional Hazards Models; D012680:Sensitivity and Specificity