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...
Autor principal: | |
---|---|
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 |