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An annotated test-retest collection of prostate multiparametric MRI

Multiparametric Magnetic Resonance Imaging (mpMRI) is widely used for characterizing prostate cancer. Standard of care use of mpMRI in clinic relies on visual interpretation of the images by an expert. mpMRI is also increasingly used as a quantitative imaging biomarker of the disease. Little is know...

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Autores principales: Fedorov, Andriy, Schwier, Michael, Clunie, David, Herz, Christian, Pieper, Steve, Kikinis, Ron, Tempany, Clare, Fennessy, Fiona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278692/
https://www.ncbi.nlm.nih.gov/pubmed/30512014
http://dx.doi.org/10.1038/sdata.2018.281
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author Fedorov, Andriy
Schwier, Michael
Clunie, David
Herz, Christian
Pieper, Steve
Kikinis, Ron
Tempany, Clare
Fennessy, Fiona
author_facet Fedorov, Andriy
Schwier, Michael
Clunie, David
Herz, Christian
Pieper, Steve
Kikinis, Ron
Tempany, Clare
Fennessy, Fiona
author_sort Fedorov, Andriy
collection PubMed
description Multiparametric Magnetic Resonance Imaging (mpMRI) is widely used for characterizing prostate cancer. Standard of care use of mpMRI in clinic relies on visual interpretation of the images by an expert. mpMRI is also increasingly used as a quantitative imaging biomarker of the disease. Little is known about repeatability of such quantitative measurements, and no test-retest datasets have been available publicly to support investigation of the technical characteristics of the MRI-based quantification in the prostate. Here we present an mpMRI dataset consisting of baseline and repeat prostate MRI exams for 15 subjects, manually annotated to define regions corresponding to lesions and anatomical structures, and accompanied by region-based measurements. This dataset aims to support further investigation of the repeatability of mpMRI-derived quantitative prostate measurements, study of the robustness and reliability of the automated analysis approaches, and to support development and validation of new image analysis techniques. The manuscript can also serve as an example of the use of DICOM for standardized encoding of the image annotation and quantification results.
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spelling pubmed-62786922018-12-05 An annotated test-retest collection of prostate multiparametric MRI Fedorov, Andriy Schwier, Michael Clunie, David Herz, Christian Pieper, Steve Kikinis, Ron Tempany, Clare Fennessy, Fiona Sci Data Data Descriptor Multiparametric Magnetic Resonance Imaging (mpMRI) is widely used for characterizing prostate cancer. Standard of care use of mpMRI in clinic relies on visual interpretation of the images by an expert. mpMRI is also increasingly used as a quantitative imaging biomarker of the disease. Little is known about repeatability of such quantitative measurements, and no test-retest datasets have been available publicly to support investigation of the technical characteristics of the MRI-based quantification in the prostate. Here we present an mpMRI dataset consisting of baseline and repeat prostate MRI exams for 15 subjects, manually annotated to define regions corresponding to lesions and anatomical structures, and accompanied by region-based measurements. This dataset aims to support further investigation of the repeatability of mpMRI-derived quantitative prostate measurements, study of the robustness and reliability of the automated analysis approaches, and to support development and validation of new image analysis techniques. The manuscript can also serve as an example of the use of DICOM for standardized encoding of the image annotation and quantification results. Nature Publishing Group 2018-12-04 /pmc/articles/PMC6278692/ /pubmed/30512014 http://dx.doi.org/10.1038/sdata.2018.281 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Fedorov, Andriy
Schwier, Michael
Clunie, David
Herz, Christian
Pieper, Steve
Kikinis, Ron
Tempany, Clare
Fennessy, Fiona
An annotated test-retest collection of prostate multiparametric MRI
title An annotated test-retest collection of prostate multiparametric MRI
title_full An annotated test-retest collection of prostate multiparametric MRI
title_fullStr An annotated test-retest collection of prostate multiparametric MRI
title_full_unstemmed An annotated test-retest collection of prostate multiparametric MRI
title_short An annotated test-retest collection of prostate multiparametric MRI
title_sort annotated test-retest collection of prostate multiparametric mri
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6278692/
https://www.ncbi.nlm.nih.gov/pubmed/30512014
http://dx.doi.org/10.1038/sdata.2018.281
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