| Title: |
Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging |
| Authors: |
Caterina Gaudiano, Lorenzo Braccischi, Makoto Taninokuchi Tomassoni, Alexandro Paccapelo, Lorenzo Bianchi, Beniamino Corcioni, Federica Ciccarese, Riccardo Schiavina, Matteo Droghetti, Francesca Giunchi, Michelangelo Fiorentino, Eugenio Brunocilla, Rita Golfieri |
| Source: |
Frontiers in Oncology, Vol 13 (2023) |
| Publisher Information: |
Frontiers Media S.A., 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens |
| Subject Terms: |
multiparametric magnetic resonance imaging, prostate cancer, PI-RADS 3 lesions, transverse prostate maximum sectional area, PIRADS 3, urological imaging, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282 |
| More Details: |
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, P |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2234-943X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fonc.2023.1082564/full; https://doaj.org/toc/2234-943X |
| DOI: |
10.3389/fonc.2023.1082564 |
| Access URL: |
https://doaj.org/article/3614642432ec4e1291f917d01ef9ca4f |
| Accession Number: |
edsdoj.3614642432ec4e1291f917d01ef9ca4f |
| Database: |
Directory of Open Access Journals |
