Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome.
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Download Osteoarthritis is an increasingly important health problem for which the main treatment remains joint replacement. Th...
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ftlandspitaliuni:oai:www.hirsla.lsh.is:2336/621532 2023-05-15T18:07:00+02:00 Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. Turmezei, T D Treece, G M Gee, A H Sigurdsson, S Jonsson, H Aspelund, T Gudnason, V Poole, K E S 1Department of Radiology, Norfolk and Norwich University Hospital, Norwich, UK. tom.turmezei@nnuh.nhs.uk. 2Cambridge University Engineering Department, Cambridge, UK. 3Icelandic Heart Association, Kopavogur, Iceland. 4Department of Rheumatology, Landspitalinn University Hospital, Reykjavik, Iceland. 5Department of Medicine, University of Iceland, Reykjavik, Iceland. 6Department of Medicine, University of Cambridge, Cambridge, UK. 2020-09 http://hdl.handle.net/2336/621532 https://doi.org/10.1038/s41598-020-59977-2 en eng Nature Publishing Group https://www.nature.com/articles/s41598-020-59977-2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058047/ Turmezei TD, Treece GM, Gee AH, Sigurdsson S, Jonsson H, Aspelund T, Gudnason V, Poole KES. Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. Sci Rep. 2020 Mar 5;10(1):4127. doi:10.1038/s41598-020-59977-2. PMID: 32139721; PMCID: PMC7058047. 32139721 doi:10.1038/s41598-020-59977-2 http://hdl.handle.net/2336/621532 2045-2322 Scientific reports Open Access - Opinn aðgangur Scientific reports 10 1 4127 United Kingdom England Slitgigt Myndgreining (læknisfræði) Liðskiptaaðgerðir Mjaðmaaðgerðir Batahorfur Osteoarthritis Hip Imaging Three-Dimensional Treatment Outcome Arthroplasty Replacement Article Other 2020 ftlandspitaliuni https://doi.org/10.1038/s41598-020-59977-2 2022-05-29T08:22:33Z To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Download Osteoarthritis is an increasingly important health problem for which the main treatment remains joint replacement. Therapy developments have been hampered by a lack of biomarkers that can reliably predict disease, while 2D radiographs interpreted by human observers are still the gold standard for clinical trial imaging assessment. We propose a 3D approach using computed tomography-a fast, readily available clinical technique-that can be applied in the assessment of osteoarthritis using a new quantitative 3D analysis technique called joint space mapping (JSM). We demonstrate the application of JSM at the hip in 263 healthy older adults from the AGES-Reykjavík cohort, examining relationships between 3D joint space width, 3D joint shape, and future joint replacement. Using JSM, statistical shape modelling, and statistical parametric mapping, we show an 18% improvement in prediction of joint replacement using 3D metrics combined with radiographic Kellgren & Lawrence grade (AUC 0.86) over the existing 2D FDA-approved gold standard of minimum 2D joint space width (AUC 0.73). We also show that assessment of joint asymmetry can reveal significant differences between individuals destined for joint replacement versus controls at regions of the joint that are not captured by radiographs. This technique is immediately implementable with standard imaging technologies. National Institute for Health Research (NIHR) Wellcome Trust National Institute on Aging, Bethesda, USA Icelandic Government Article in Journal/Newspaper Reykjavík Reykjavík Hirsla - Landspítali University Hospital research archive Reykjavík Scientific Reports 10 1 |
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Hirsla - Landspítali University Hospital research archive |
op_collection_id |
ftlandspitaliuni |
language |
English |
topic |
Slitgigt Myndgreining (læknisfræði) Liðskiptaaðgerðir Mjaðmaaðgerðir Batahorfur Osteoarthritis Hip Imaging Three-Dimensional Treatment Outcome Arthroplasty Replacement |
spellingShingle |
Slitgigt Myndgreining (læknisfræði) Liðskiptaaðgerðir Mjaðmaaðgerðir Batahorfur Osteoarthritis Hip Imaging Three-Dimensional Treatment Outcome Arthroplasty Replacement Turmezei, T D Treece, G M Gee, A H Sigurdsson, S Jonsson, H Aspelund, T Gudnason, V Poole, K E S Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. |
topic_facet |
Slitgigt Myndgreining (læknisfræði) Liðskiptaaðgerðir Mjaðmaaðgerðir Batahorfur Osteoarthritis Hip Imaging Three-Dimensional Treatment Outcome Arthroplasty Replacement |
description |
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Download Osteoarthritis is an increasingly important health problem for which the main treatment remains joint replacement. Therapy developments have been hampered by a lack of biomarkers that can reliably predict disease, while 2D radiographs interpreted by human observers are still the gold standard for clinical trial imaging assessment. We propose a 3D approach using computed tomography-a fast, readily available clinical technique-that can be applied in the assessment of osteoarthritis using a new quantitative 3D analysis technique called joint space mapping (JSM). We demonstrate the application of JSM at the hip in 263 healthy older adults from the AGES-Reykjavík cohort, examining relationships between 3D joint space width, 3D joint shape, and future joint replacement. Using JSM, statistical shape modelling, and statistical parametric mapping, we show an 18% improvement in prediction of joint replacement using 3D metrics combined with radiographic Kellgren & Lawrence grade (AUC 0.86) over the existing 2D FDA-approved gold standard of minimum 2D joint space width (AUC 0.73). We also show that assessment of joint asymmetry can reveal significant differences between individuals destined for joint replacement versus controls at regions of the joint that are not captured by radiographs. This technique is immediately implementable with standard imaging technologies. National Institute for Health Research (NIHR) Wellcome Trust National Institute on Aging, Bethesda, USA Icelandic Government |
author2 |
1Department of Radiology, Norfolk and Norwich University Hospital, Norwich, UK. tom.turmezei@nnuh.nhs.uk. 2Cambridge University Engineering Department, Cambridge, UK. 3Icelandic Heart Association, Kopavogur, Iceland. 4Department of Rheumatology, Landspitalinn University Hospital, Reykjavik, Iceland. 5Department of Medicine, University of Iceland, Reykjavik, Iceland. 6Department of Medicine, University of Cambridge, Cambridge, UK. |
format |
Article in Journal/Newspaper |
author |
Turmezei, T D Treece, G M Gee, A H Sigurdsson, S Jonsson, H Aspelund, T Gudnason, V Poole, K E S |
author_facet |
Turmezei, T D Treece, G M Gee, A H Sigurdsson, S Jonsson, H Aspelund, T Gudnason, V Poole, K E S |
author_sort |
Turmezei, T D |
title |
Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. |
title_short |
Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. |
title_full |
Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. |
title_fullStr |
Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. |
title_full_unstemmed |
Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. |
title_sort |
quantitative 3d imaging parameters improve prediction of hip osteoarthritis outcome. |
publisher |
Nature Publishing Group |
publishDate |
2020 |
url |
http://hdl.handle.net/2336/621532 https://doi.org/10.1038/s41598-020-59977-2 |
geographic |
Reykjavík |
geographic_facet |
Reykjavík |
genre |
Reykjavík Reykjavík |
genre_facet |
Reykjavík Reykjavík |
op_source |
Scientific reports 10 1 4127 United Kingdom England |
op_relation |
https://www.nature.com/articles/s41598-020-59977-2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058047/ Turmezei TD, Treece GM, Gee AH, Sigurdsson S, Jonsson H, Aspelund T, Gudnason V, Poole KES. Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome. Sci Rep. 2020 Mar 5;10(1):4127. doi:10.1038/s41598-020-59977-2. PMID: 32139721; PMCID: PMC7058047. 32139721 doi:10.1038/s41598-020-59977-2 http://hdl.handle.net/2336/621532 2045-2322 Scientific reports |
op_rights |
Open Access - Opinn aðgangur |
op_doi |
https://doi.org/10.1038/s41598-020-59977-2 |
container_title |
Scientific Reports |
container_volume |
10 |
container_issue |
1 |
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1766178827269046272 |