Background/Aim: Aim of the present study was to assess the diagnostic value of unenhanced biparametric magnetic resonance imaging (Bp-MRI) as adjunct to CA125 and human epididymis protein 4 (HE4) in the characterization of large ovarian masses. Patients and Methods: Bp-MRI and dynamic contrast-enhanced (DCE) imaging of 53 patients with large ovarian masses were retrospectively analyzed and compared to histological diagnosis. The results of Bp-MRI and DCE were assessed by two readers in consensus for each technique individually compared to each other and then with HE4 and CA125. Results: Sensitivity, specificity, negative predictive values and positive predictive values for Bp-MRI and DCE were 92.3%, 91.4%, 94.1%, 88.9% and 84.6%, 94.3%, 89.2%, 91.7%, respectively. Both Bp-MRI and DCE were significant predictors of outcome. Among biomarkers, HE4 was significant. Considering the area under receiver operating characteristic curve the model including Bp-MRI and HE4 was not significantly different from the model including DCE and HE4. Conclusion: Bp-MRI in addition to HE4, especially in women of pre-menopausal age, could improve the characterization of large ovarian masses.
Biparametric Magnetic Resonance Imaging as an Adjunct to CA125 and HE4 to Improve Characterization of Large Ovarian Masses
RECCHIA, NICOLA;STRACCI, Fabrizio;SCIALPI, Michele
2015
Abstract
Background/Aim: Aim of the present study was to assess the diagnostic value of unenhanced biparametric magnetic resonance imaging (Bp-MRI) as adjunct to CA125 and human epididymis protein 4 (HE4) in the characterization of large ovarian masses. Patients and Methods: Bp-MRI and dynamic contrast-enhanced (DCE) imaging of 53 patients with large ovarian masses were retrospectively analyzed and compared to histological diagnosis. The results of Bp-MRI and DCE were assessed by two readers in consensus for each technique individually compared to each other and then with HE4 and CA125. Results: Sensitivity, specificity, negative predictive values and positive predictive values for Bp-MRI and DCE were 92.3%, 91.4%, 94.1%, 88.9% and 84.6%, 94.3%, 89.2%, 91.7%, respectively. Both Bp-MRI and DCE were significant predictors of outcome. Among biomarkers, HE4 was significant. Considering the area under receiver operating characteristic curve the model including Bp-MRI and HE4 was not significantly different from the model including DCE and HE4. Conclusion: Bp-MRI in addition to HE4, especially in women of pre-menopausal age, could improve the characterization of large ovarian masses.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
