1. Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging
- Author
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Gaudiano, Caterina, Braccischi, Lorenzo, Taninokuchi Tomassoni, Makoto, Paccapelo, Alexandro, Bianchi, Lorenzo, Corcioni, Beniamino, Ciccarese, Federica, Schiavina, Riccardo, Droghetti, Matteo, Giunchi, Francesca, Fiorentino, Michelangelo, Brunocilla, Eugenio, and Golfieri, Rita
- Subjects
Cancer Research ,Oncology - Abstract
BackgroundTo evaluate multiparametric magnetic resonance imaging (mpMRI) parameters, such as TransPA (transverse prostate maximum sectional area), TransCGA (transverse central gland sectional area), TransPZA (transverse peripheral zone sectional area), and TransPAI (TransPZA/TransCGA ratio) in predicting prostate cancer (PCa) in prostate imaging reporting and data system (PI-RADS) 3 lesions.MethodsSensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV), the area under the receiver operating characteristic curve (AUC), and the best cut-off, were calculated. Univariate and multivariate analyses were carried out to evaluate the capability to predict PCa.ResultsOut of 120 PI-RADS 3 lesions, 54 (45.0%) were PCa with 34 (28.3%) csPCas. Median TransPA, TransCGA, TransPZA and TransPAI were 15.4cm2, 9.1cm2, 5.5cm2 and 0.57, respectively. At multivariate analysis, location in the transition zone (OR=7.92, 95% CI: 2.70-23.29, PConclusionsIn PI-RADS 3 lesions, the TransPA could be useful in selecting patients requiring biopsy.
- Published
- 2023