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Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis
INTRODUCTION: Multiparametric MRI (mpMRI) has improved risk stratification for men with suspected prostate cancer. Indeed, mpMRI-visible tumours tend to be larger and of higher pathological grade than mpMRI-invisible tumours; however, concern remains around significant cancer that is undetected by m...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583062/ https://www.ncbi.nlm.nih.gov/pubmed/33093035 http://dx.doi.org/10.1136/bmjopen-2020-039735 |
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author | Norris, Joseph M Carmona Echeverria, Lina M Simpson, Benjamin S Ball, Rhys Freeman, Alex Kelly, Daniel Kirkham, Alex Whitaker, Hayley C Emberton, Mark |
author_facet | Norris, Joseph M Carmona Echeverria, Lina M Simpson, Benjamin S Ball, Rhys Freeman, Alex Kelly, Daniel Kirkham, Alex Whitaker, Hayley C Emberton, Mark |
author_sort | Norris, Joseph M |
collection | PubMed |
description | INTRODUCTION: Multiparametric MRI (mpMRI) has improved risk stratification for men with suspected prostate cancer. Indeed, mpMRI-visible tumours tend to be larger and of higher pathological grade than mpMRI-invisible tumours; however, concern remains around significant cancer that is undetected by mpMRI. There has been considerable recent interest to investigate whether tumour conspicuity on mpMRI is associated with additional histopathological features (including cellular density, microvessel density and unusual prostate cancer subtypes), which may have important clinical implications in both diagnosis and prognosis. Furthermore, analysis of these features may help reveal the radiobiology that underpins the actual mechanisms of mpMRI visibility (and invisibility) of prostate tumours. Here, we describe a protocol for a systematic review of the histopathological basis of prostate cancer conspicuity on mpMRI. METHODS AND ANALYSIS: A systematic search of the MEDLINE, PubMed, Embase and Cochrane databases will be conducted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines will be used to guide screening, thematic reporting and conclusions drawn from all eligible studies. Included papers will be full-text, English-language articles, comparing the histopathological characteristics of mpMRI-visible lesions and mpMRI-invisible tumours. All studies published between January 1950 and January 2020 will be eligible for inclusion. Studies using confirmatory immunohistochemistry for the identification of immune subsets or structural components will be included. Study bias and quality will be assessed using a modified Newcastle-Ottawa scale. To ensure methodological rigour, this protocol is written in accordance with the PRISMA Protocol 2015 checklist. If appropriate, a meta-analysis will be conducted comparing histopathological feature frequency between mpMRI-visible and mpMRI-invisible disease. ETHICS AND DISSEMINATION: No ethical approval will be required as this is an academic review of published literature. Findings will be disseminated through publications in peer-reviewed journals and presentations at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42020176049 |
format | Online Article Text |
id | pubmed-7583062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-75830622020-10-28 Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis Norris, Joseph M Carmona Echeverria, Lina M Simpson, Benjamin S Ball, Rhys Freeman, Alex Kelly, Daniel Kirkham, Alex Whitaker, Hayley C Emberton, Mark BMJ Open Urology INTRODUCTION: Multiparametric MRI (mpMRI) has improved risk stratification for men with suspected prostate cancer. Indeed, mpMRI-visible tumours tend to be larger and of higher pathological grade than mpMRI-invisible tumours; however, concern remains around significant cancer that is undetected by mpMRI. There has been considerable recent interest to investigate whether tumour conspicuity on mpMRI is associated with additional histopathological features (including cellular density, microvessel density and unusual prostate cancer subtypes), which may have important clinical implications in both diagnosis and prognosis. Furthermore, analysis of these features may help reveal the radiobiology that underpins the actual mechanisms of mpMRI visibility (and invisibility) of prostate tumours. Here, we describe a protocol for a systematic review of the histopathological basis of prostate cancer conspicuity on mpMRI. METHODS AND ANALYSIS: A systematic search of the MEDLINE, PubMed, Embase and Cochrane databases will be conducted. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines will be used to guide screening, thematic reporting and conclusions drawn from all eligible studies. Included papers will be full-text, English-language articles, comparing the histopathological characteristics of mpMRI-visible lesions and mpMRI-invisible tumours. All studies published between January 1950 and January 2020 will be eligible for inclusion. Studies using confirmatory immunohistochemistry for the identification of immune subsets or structural components will be included. Study bias and quality will be assessed using a modified Newcastle-Ottawa scale. To ensure methodological rigour, this protocol is written in accordance with the PRISMA Protocol 2015 checklist. If appropriate, a meta-analysis will be conducted comparing histopathological feature frequency between mpMRI-visible and mpMRI-invisible disease. ETHICS AND DISSEMINATION: No ethical approval will be required as this is an academic review of published literature. Findings will be disseminated through publications in peer-reviewed journals and presentations at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42020176049 BMJ Publishing Group 2020-10-22 /pmc/articles/PMC7583062/ /pubmed/33093035 http://dx.doi.org/10.1136/bmjopen-2020-039735 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Urology Norris, Joseph M Carmona Echeverria, Lina M Simpson, Benjamin S Ball, Rhys Freeman, Alex Kelly, Daniel Kirkham, Alex Whitaker, Hayley C Emberton, Mark Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis |
title | Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis |
title_full | Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis |
title_fullStr | Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis |
title_full_unstemmed | Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis |
title_short | Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis |
title_sort | histopathological features of prostate cancer conspicuity on multiparametric mri: protocol for a systematic review and meta-analysis |
topic | Urology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583062/ https://www.ncbi.nlm.nih.gov/pubmed/33093035 http://dx.doi.org/10.1136/bmjopen-2020-039735 |
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