Nicola Recchia

Nicola Recchia

*This is an algorithmically generated author record based on publicly available information.

Nicola Recchia has a total of 22 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Value of split-bolus multidetector-row CT technique in the quantitative assessment of pancreatic enhancement

    by Michele Scialpi, Valeria Rondoni, Nicola Recchia, Francesco Barberini, Paolo Baccari, Maria Antonietta Mazzei, Lucia Manganaro, Luca Roncati, Teresa Pusiol, Barbara Palumbo

    • 1 November 2015
      • Vol. 35  (11) , 6341-51

    Biparametric Magnetic Resonance Imaging as an Adjunct to CA125 and HE4 to Improve Characterization of Large Ovarian Masses.

    by Lucia Manganaro, Emanuela Anastasi, Maria Grazia Porpora, Valeria Vinci, Matteo Saldari, Silvia Bernardo, Laura Ballesio, Paolo Sollazzo, Irene Pecorella, Nicola Recchia, et al.

    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. 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. 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. Bp-MRI in addition to HE4, especially in women of pre-menopausal age, could improve the characterization of large ovarian masses.