Cargando…
Transverse prostate maximum sectional area can predict clinically significant prostate cancer in PI-RADS 3 lesions at multiparametric magnetic resonance imaging
BACKGROUND: To 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 pre...
Autores principales: | 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, Golfieri, Rita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986422/ https://www.ncbi.nlm.nih.gov/pubmed/36890814 http://dx.doi.org/10.3389/fonc.2023.1082564 |
Ejemplares similares
-
Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
por: Gaudiano, Caterina, et al.
Publicado: (2023) -
An Apparent Diffusion Coefficient-Based Machine Learning Model Can Improve Prostate Cancer Detection in the Grey Area of the Prostate Imaging Reporting and Data System Category 3: A Single-Centre Experience
por: Gaudiano, Caterina, et al.
Publicado: (2023) -
Clinical Application of the New Prostate Imaging for Recurrence Reporting (PI-RR) Score Proposed to Evaluate the Local Recurrence of Prostate Cancer after Radical Prostatectomy
por: Ciccarese, Federica, et al.
Publicado: (2022) -
Dynamic FDG PET/CT on bladder paraganglioma: A case report
por: Taninokuchi Tomassoni, Makoto, et al.
Publicado: (2022) -
Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions
por: Gaudiano, Caterina, et al.
Publicado: (2022)