• English
    • íslenska
  • English 
    • English
    • íslenska
  • Login
View Item 
  •   Home
  • Journal Articles, Peer Reviewed (Ritrýndar vísindagreinar)
  • English Journal Articles (Peer Reviewed)
  • View Item
  •   Home
  • Journal Articles, Peer Reviewed (Ritrýndar vísindagreinar)
  • English Journal Articles (Peer Reviewed)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of HirslaCommunitiesAuthorsTitleSubjectsSubject (MeSH)Issue DateJournalThis CollectionAuthorsTitleSubjectsSubject (MeSH)Issue DateJournal

My Account

LoginRegister

Local Links

FAQ - (Icelandic)FAQ - (English)Hirsla LogosAbout LandspitaliLSH Home PageLibrary HomeIcelandic Journals

Statistics

Display statistics

Quantitative 3D imaging parameters improve prediction of hip osteoarthritis outcome.

  • CSV
  • RefMan
  • EndNote
  • BibTex
  • RefWorks
Thumbnail
Name:
Quantitative ....pdf
Size:
4.516Mb
Format:
PDF
Download
Average rating
 
   votes
Cast your vote
You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
Star rating
 
Your vote was cast
Thank you for your feedback
Authors
Turmezei, T D
Treece, G M
Gee, A H
Sigurdsson, S
Jonsson, H
Aspelund, T
Gudnason, V
Poole, K E S
Issue Date
2020-03-05

Metadata
Show full item record
Citation
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.
Abstract
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.
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
Additional Links
https://www.nature.com/articles/s41598-020-59977-2
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058047/
ae974a485f413a2113503eed53cd6c53
10.1038/s41598-020-59977-2
Scopus Count
Collections
English Journal Articles (Peer Reviewed)

entitlement

Related articles

  • Quantitative 3D analysis of bone in hip osteoarthritis using clinical computed tomography.
  • Authors: Turmezei TD, Treece GM, Gee AH, Fotiadou AF, Poole KE
  • Issue date: 2016 Jul
  • Validation of statistical shape modelling to predict hip osteoarthritis in females: data from two prospective cohort studies (Cohort Hip and Cohort Knee and Chingford).
  • Authors: Agricola R, Leyland KM, Bierma-Zeinstra SM, Thomas GE, Emans PJ, Spector TD, Weinans H, Waarsing JH, Arden NK
  • Issue date: 2015 Nov
  • Severity mapping of the proximal femur: a new method for assessing hip osteoarthritis with computed tomography.
  • Authors: Turmezei TD, Lomas DJ, Hopper MA, Poole KE
  • Issue date: 2014 Oct
  • Quantification of progressive joint space narrowing in osteoarthritis of the hip: longitudinal analysis of the contralateral hip after total hip arthroplasty.
  • Authors: Goker B, Doughan AM, Schnitzer TJ, Block JA
  • Issue date: 2000 May
  • An automated workflow based on hip shape improves personalized risk prediction for hip osteoarthritis in the CHECK study.
  • Authors: Gielis WP, Weinans H, Welsing PMJ, van Spil WE, Agricola R, Cootes TF, de Jong PA, Lindner C
  • Issue date: 2020 Jan

DSpace software (copyright © 2002 - 2021)  DuraSpace
Quick Guide | Contact Us
Open Repository is a service operated by 
Atmire NV
 

Export search results

The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.