title: Menopausal status strongly influences the utility of predictive models in differential diagnosis of ovarian tumors: an external validation of selected diagnostic tools.
abstract: OBJECTIVE
  The aim of this study was to externally validate the diagnostic performance of the International Ovarian Tumor Analysis logistic regression models (LR1 and LR2, 2005) and other popular prognostic models including the Timmerman logistic regression model (1999), the Alcazar model (2003), the risk of malignancy index (RMI, 1990), and the risk of malignancy algorithm (ROMA, 2009). We compared these models to subjective ultrasonographic assessment performed by an experienced ultrasonography specialist, and with our previously developed scales: the sonomorphologic index and the vascularization index. Furthermore, we evaluated diagnostic tests with regard to the menopausal status of patients.
  
  
  METHODS
  This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models.
  
  
  METHODS
  This study included 268 patients with adnexal masses; 167 patients with benign ovarian tumors and 101 patients with malignant ovarian tumors were enrolled. All tumors were evaluated by using trans- vaginal ultrasonography according to the diagnostic criteria of the analyzed models.
  
  
  RESULTS
  The subjective ultrasonographic assessment and all of the studied predictive models achieved similar diagnostic performance in the whole study population. However significant differences were observed when pre- and postmenopausal patients were analyzed separately In the subgroup of premenopausal patients, the highest area under the curve (AUC) was achieved by subjective ultrasonographic assessment (0.931), the Alcazar model (0.912), and LR1 (0.909). Alternatively in the group of postmenopausal patients, the highest AUC was noted for the Timmerman model (0.973), ROMA (0.951), and RMI (0.938).
  
  
  CONCLUSIONS
  Menopausal status is a key factor that affects the utility of prognostic models for differential diagno sis of ovarian tumors. Diagnostic models of ovarian tumors are reasonable tools for predicting tumor malignancy
authors: Rafal
authors: R
authors: Moszynski
authors: Patryk
authors: P
authors: Zywica
authors: Andrzej
authors: A
authors: Wojtowicz
authors: Sebastian
authors: S
authors: Szubert
authors: Stefan
authors: S
authors: Sajdak
authors: Anna
authors: A
authors: Stachowiak
authors: Krzysztof
authors: K
authors: Dyczkowski
authors: Maciej
authors: M
authors: Wygralak
authors: Dariusz
authors: D
authors: Szpurek
mesh_terms: D000291:Adnexal Diseases / Q000175:diagnosis / Q000453:epidemiology; D017677:Age Distribution; D018394:CA-125 Antigen / Q000097:blood; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008593:Menopause; D008875:Middle Aged; D015233:Models, Statistical; D010051:Ovarian Neoplasms / Q000097:blood / Q000175:diagnosis* / Q000453:epidemiology*; D018570:Risk Assessment / Q000379:methods; D016387:Women's Health
chemical_list: D018394:CA-125 Antigen