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Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge

Multiparametric magnetic resonance imaging (mpMRI) is currently the most effective diagnostic tool for detecting prostate cancer (PCa) and evaluating adenocarcinoma-mimicking lesions of the prostate gland, among which granulomatous prostatitis (GP) represents the most interesting diagnostic challeng...

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Autores principales: Gaudiano, Caterina, Renzetti, Benedetta, De Fino, Cristina, Corcioni, Beniamino, Ciccarese, Federica, Bianchi, Lorenzo, Schiavina, Riccardo, Droghetti, Matteo, Giunchi, Francesca, Brunocilla, Eugenio, Fiorentino, Michelangelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277616/
https://www.ncbi.nlm.nih.gov/pubmed/37342186
http://dx.doi.org/10.3389/fonc.2023.1178430
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author Gaudiano, Caterina
Renzetti, Benedetta
De Fino, Cristina
Corcioni, Beniamino
Ciccarese, Federica
Bianchi, Lorenzo
Schiavina, Riccardo
Droghetti, Matteo
Giunchi, Francesca
Brunocilla, Eugenio
Fiorentino, Michelangelo
author_facet Gaudiano, Caterina
Renzetti, Benedetta
De Fino, Cristina
Corcioni, Beniamino
Ciccarese, Federica
Bianchi, Lorenzo
Schiavina, Riccardo
Droghetti, Matteo
Giunchi, Francesca
Brunocilla, Eugenio
Fiorentino, Michelangelo
author_sort Gaudiano, Caterina
collection PubMed
description Multiparametric magnetic resonance imaging (mpMRI) is currently the most effective diagnostic tool for detecting prostate cancer (PCa) and evaluating adenocarcinoma-mimicking lesions of the prostate gland, among which granulomatous prostatitis (GP) represents the most interesting diagnostic challenge. GP consists of a heterogeneous group of chronic inflammatory lesions that can be differentiated into four types: idiopathic, infective, iatrogenic, and associated with systemic granulomatous disease. The incidence of GP is growing due to the increase in endourological surgical interventions and the adoption of intravesical instillation of Bacillus Calmette-Guerin in patients with non-muscle invasive bladder cancer; therefore, the difficulty lies in identifying specific features of GP on mpMRI to avoid the use of transrectal prostate biopsy as much as possible.
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spelling pubmed-102776162023-06-20 Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge Gaudiano, Caterina Renzetti, Benedetta De Fino, Cristina Corcioni, Beniamino Ciccarese, Federica Bianchi, Lorenzo Schiavina, Riccardo Droghetti, Matteo Giunchi, Francesca Brunocilla, Eugenio Fiorentino, Michelangelo Front Oncol Oncology Multiparametric magnetic resonance imaging (mpMRI) is currently the most effective diagnostic tool for detecting prostate cancer (PCa) and evaluating adenocarcinoma-mimicking lesions of the prostate gland, among which granulomatous prostatitis (GP) represents the most interesting diagnostic challenge. GP consists of a heterogeneous group of chronic inflammatory lesions that can be differentiated into four types: idiopathic, infective, iatrogenic, and associated with systemic granulomatous disease. The incidence of GP is growing due to the increase in endourological surgical interventions and the adoption of intravesical instillation of Bacillus Calmette-Guerin in patients with non-muscle invasive bladder cancer; therefore, the difficulty lies in identifying specific features of GP on mpMRI to avoid the use of transrectal prostate biopsy as much as possible. Frontiers Media S.A. 2023-06-05 /pmc/articles/PMC10277616/ /pubmed/37342186 http://dx.doi.org/10.3389/fonc.2023.1178430 Text en Copyright © 2023 Gaudiano, Renzetti, De Fino, Corcioni, Ciccarese, Bianchi, Schiavina, Droghetti, Giunchi, Brunocilla and Fiorentino https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Gaudiano, Caterina
Renzetti, Benedetta
De Fino, Cristina
Corcioni, Beniamino
Ciccarese, Federica
Bianchi, Lorenzo
Schiavina, Riccardo
Droghetti, Matteo
Giunchi, Francesca
Brunocilla, Eugenio
Fiorentino, Michelangelo
Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
title Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
title_full Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
title_fullStr Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
title_full_unstemmed Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
title_short Multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
title_sort multiparametric magnetic resonance imaging for the differential diagnosis between granulomatous prostatitis and prostate cancer: a literature review to an intriguing diagnostic challenge
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277616/
https://www.ncbi.nlm.nih.gov/pubmed/37342186
http://dx.doi.org/10.3389/fonc.2023.1178430
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