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Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer?
Multi-parametric magnetic resonance imaging is an emerging imaging modality for diagnosis, staging, characterization, and treatment planning of prostate cancer. In this report, we reviewed the literature for studies assessing the accuracy of multi-parametric magnetic resonance imaging in detecting c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219420/ https://www.ncbi.nlm.nih.gov/pubmed/25408923 http://dx.doi.org/10.3389/fonc.2014.00294 |
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author | Giannarini, Gianluca Zazzara, Michele Rossanese, Marta Palumbo, Vito Pancot, Martina Como, Giuseppe Abbinante, Maria Ficarra, Vincenzo |
author_facet | Giannarini, Gianluca Zazzara, Michele Rossanese, Marta Palumbo, Vito Pancot, Martina Como, Giuseppe Abbinante, Maria Ficarra, Vincenzo |
author_sort | Giannarini, Gianluca |
collection | PubMed |
description | Multi-parametric magnetic resonance imaging is an emerging imaging modality for diagnosis, staging, characterization, and treatment planning of prostate cancer. In this report, we reviewed the literature for studies assessing the accuracy of multi-parametric magnetic resonance imaging in detecting clinically significant prostate cancer, and we critically examined the future role of this imaging tool in various clinical diagnostic settings. There is accumulating evidence suggesting a high accuracy of multi-parametric magnetic resonance imaging in ruling out clinically significant disease. Although definition for clinically significant disease widely varies, the negative predictive value is very high at up to 98%. Multi-parametric magnetic resonance imaging should, thus, be further evaluated for application in different clinical scenarios in which it is desirable to reduce the proportion of unnecessary prostate biopsies and to limit the detection of indolent disease, such as opportunistic screening, persistent prostate cancer suspicion in men with previous negative prostate biopsies, and eligibility for active surveillance. Continued improvement in standardization of technical parameters, functional sequences, and image reporting systems is a pre-requisite for a rapid and successful dissemination of this imaging modality. |
format | Online Article Text |
id | pubmed-4219420 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42194202014-11-18 Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? Giannarini, Gianluca Zazzara, Michele Rossanese, Marta Palumbo, Vito Pancot, Martina Como, Giuseppe Abbinante, Maria Ficarra, Vincenzo Front Oncol Oncology Multi-parametric magnetic resonance imaging is an emerging imaging modality for diagnosis, staging, characterization, and treatment planning of prostate cancer. In this report, we reviewed the literature for studies assessing the accuracy of multi-parametric magnetic resonance imaging in detecting clinically significant prostate cancer, and we critically examined the future role of this imaging tool in various clinical diagnostic settings. There is accumulating evidence suggesting a high accuracy of multi-parametric magnetic resonance imaging in ruling out clinically significant disease. Although definition for clinically significant disease widely varies, the negative predictive value is very high at up to 98%. Multi-parametric magnetic resonance imaging should, thus, be further evaluated for application in different clinical scenarios in which it is desirable to reduce the proportion of unnecessary prostate biopsies and to limit the detection of indolent disease, such as opportunistic screening, persistent prostate cancer suspicion in men with previous negative prostate biopsies, and eligibility for active surveillance. Continued improvement in standardization of technical parameters, functional sequences, and image reporting systems is a pre-requisite for a rapid and successful dissemination of this imaging modality. Frontiers Media S.A. 2014-11-04 /pmc/articles/PMC4219420/ /pubmed/25408923 http://dx.doi.org/10.3389/fonc.2014.00294 Text en Copyright © 2014 Giannarini, Zazzara, Rossanese, Palumbo, Pancot, Como, Abbinante and Ficarra. http://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) or licensor 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 Giannarini, Gianluca Zazzara, Michele Rossanese, Marta Palumbo, Vito Pancot, Martina Como, Giuseppe Abbinante, Maria Ficarra, Vincenzo Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? |
title | Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? |
title_full | Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? |
title_fullStr | Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? |
title_full_unstemmed | Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? |
title_short | Will Multi-Parametric Magnetic Resonance Imaging be the Future Tool to Detect Clinically Significant Prostate Cancer? |
title_sort | will multi-parametric magnetic resonance imaging be the future tool to detect clinically significant prostate cancer? |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4219420/ https://www.ncbi.nlm.nih.gov/pubmed/25408923 http://dx.doi.org/10.3389/fonc.2014.00294 |
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