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Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616763/ https://www.ncbi.nlm.nih.gov/pubmed/33958731 http://dx.doi.org/10.1038/s41391-021-00373-w |
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author | Stavrinides, Vasilis Papageorgiou, Georgios Danks, Dominic Giganti, Francesco Pashayan, Nora Trock, Bruce Freeman, Alex Hu, Yipeng Whitaker, Hayley Allen, Clare Kirkham, Alex Punwani, Shonit Sonn, Geoffrey Barratt, Dean Emberton, Mark Moore, Caroline M. |
author_facet | Stavrinides, Vasilis Papageorgiou, Georgios Danks, Dominic Giganti, Francesco Pashayan, Nora Trock, Bruce Freeman, Alex Hu, Yipeng Whitaker, Hayley Allen, Clare Kirkham, Alex Punwani, Shonit Sonn, Geoffrey Barratt, Dean Emberton, Mark Moore, Caroline M. |
author_sort | Stavrinides, Vasilis |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8616763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86167632021-12-10 Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models Stavrinides, Vasilis Papageorgiou, Georgios Danks, Dominic Giganti, Francesco Pashayan, Nora Trock, Bruce Freeman, Alex Hu, Yipeng Whitaker, Hayley Allen, Clare Kirkham, Alex Punwani, Shonit Sonn, Geoffrey Barratt, Dean Emberton, Mark Moore, Caroline M. Prostate Cancer Prostatic Dis Perspective Nature Publishing Group UK 2021-05-06 2021 /pmc/articles/PMC8616763/ /pubmed/33958731 http://dx.doi.org/10.1038/s41391-021-00373-w Text en © The Author(s) 2021 https://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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Stavrinides, Vasilis Papageorgiou, Georgios Danks, Dominic Giganti, Francesco Pashayan, Nora Trock, Bruce Freeman, Alex Hu, Yipeng Whitaker, Hayley Allen, Clare Kirkham, Alex Punwani, Shonit Sonn, Geoffrey Barratt, Dean Emberton, Mark Moore, Caroline M. Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models |
title | Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models |
title_full | Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models |
title_fullStr | Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models |
title_full_unstemmed | Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models |
title_short | Mapping PSA density to outcome of MRI-based active surveillance for prostate cancer through joint longitudinal-survival models |
title_sort | mapping psa density to outcome of mri-based active surveillance for prostate cancer through joint longitudinal-survival models |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616763/ https://www.ncbi.nlm.nih.gov/pubmed/33958731 http://dx.doi.org/10.1038/s41391-021-00373-w |
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