Cargando…

Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging

Multiparametric MRI of the prostate combines high-resolution anatomic imaging with functional imaging of alterations in normal tissue caused by neoplastic transformation for the identification and characterization of in situ prostate cancer. Lesion detection relies on a systematic approach to the an...

Descripción completa

Detalles Bibliográficos
Autor principal: Margolis, Daniel J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266765/
https://www.ncbi.nlm.nih.gov/pubmed/25525600
http://dx.doi.org/10.1155/2014/684127
_version_ 1782349052701048832
author Margolis, Daniel J. A.
author_facet Margolis, Daniel J. A.
author_sort Margolis, Daniel J. A.
collection PubMed
description Multiparametric MRI of the prostate combines high-resolution anatomic imaging with functional imaging of alterations in normal tissue caused by neoplastic transformation for the identification and characterization of in situ prostate cancer. Lesion detection relies on a systematic approach to the analysis of both anatomic and functional imaging using established criteria for the delineation of suspicious areas. Staging includes visual and functional analysis of the prostate “capsule” to determine if in situ disease is, in fact, organ-confined, as well as the evaluation of pelvic structures including lymph nodes and bones for the detection of metastasis. Although intertwined, the protocol can be optimized depending on whether lesion detection or staging is of the highest priority.
format Online
Article
Text
id pubmed-4266765
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-42667652014-12-18 Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging Margolis, Daniel J. A. Biomed Res Int Review Article Multiparametric MRI of the prostate combines high-resolution anatomic imaging with functional imaging of alterations in normal tissue caused by neoplastic transformation for the identification and characterization of in situ prostate cancer. Lesion detection relies on a systematic approach to the analysis of both anatomic and functional imaging using established criteria for the delineation of suspicious areas. Staging includes visual and functional analysis of the prostate “capsule” to determine if in situ disease is, in fact, organ-confined, as well as the evaluation of pelvic structures including lymph nodes and bones for the detection of metastasis. Although intertwined, the protocol can be optimized depending on whether lesion detection or staging is of the highest priority. Hindawi Publishing Corporation 2014 2014-11-30 /pmc/articles/PMC4266765/ /pubmed/25525600 http://dx.doi.org/10.1155/2014/684127 Text en Copyright © 2014 Daniel J. A. Margolis. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Margolis, Daniel J. A.
Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging
title Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging
title_full Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging
title_fullStr Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging
title_full_unstemmed Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging
title_short Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging
title_sort multiparametric mri for localized prostate cancer: lesion detection and staging
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266765/
https://www.ncbi.nlm.nih.gov/pubmed/25525600
http://dx.doi.org/10.1155/2014/684127
work_keys_str_mv AT margolisdanielja multiparametricmriforlocalizedprostatecancerlesiondetectionandstaging