Literature DB >> 32335143

A novel quantitative metric for joint space width: data from the Osteoarthritis Initiative (OAI).

T Paixao1, M D DiFranco2, R Ljuhar3, D Ljuhar4, C Goetz5, Z Bertalan6, H P Dimai7, S Nehrer8.   

Abstract

OBJECTIVE: Joint space width (JSW) has been the gold standard to assess loss of cartilage in knee osteoarthritis (OA). Here we describe a novel quantitative measure of joint space width: standardized JSW (stdJSW). We assess the performance of this quantitative metric for JSW at tracking Osteoarthritis Research Society International (OARSI) joint space narrowing grade (JSN) changes and provide reference values for different JSN grades and their annual change.
METHODS: We collected 18,934 individual knee images along with JSW and JSN readings from baseline up to month 48 (4 follow-ups) from the OAI study. Standardized JSW and 12-month JSN grade changes were calculated for each knee. For each JSN grade and 12-month grade change, the distribution of JSW loss was calculated for JSW and stdJSW. Area under the ROC curves was calculated on discrimination between different JSN grades for JSW and stdJSW. Standardized response mean (SRM) was used to compare the responsiveness of the two measures to changes in JSN grade.
RESULTS: The areas under the receiver operating characteristic (ROC) curve (AUC) for stdJSW at discriminating between successive JSN grades were AUCstdJSW = 0.87, 0.95, and 0.96, for JSN>0, JSN>1 and JSN>2, respectively, whereas these were AUCfJSW = 0.79, 0.90, 0.98 for absolute JSW. We find that standardized JSW is significantly more responsive than absolute JSW, as measured by the SRM.
CONCLUSIONS: Our results show that stdJSW outperforms absolute JSW at discriminating and tracking changes in JSN and further that this effect is in part because stdJSW cancels JSW variations attributed to patient height variations.
Copyright © 2020 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cartilage; Joint space narrowing; Joint space width; Osteoarthritis; Radiograph

Mesh:

Year:  2020        PMID: 32335143     DOI: 10.1016/j.joca.2020.04.003

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  3 in total

1.  Shear-responsive boundary-lubricated hydrogels attenuate osteoarthritis.

Authors:  Yiting Lei; Xingkuan Wang; Junyi Liao; Jieliang Shen; Yuling Li; Zhengwei Cai; Ning Hu; Xiaoji Luo; Wenguo Cui; Wei Huang
Journal:  Bioact Mater       Date:  2022-02-20

Review 2.  Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches.

Authors:  Yun Xin Teoh; Khin Wee Lai; Juliana Usman; Siew Li Goh; Hamidreza Mohafez; Khairunnisa Hasikin; Pengjiang Qian; Yizhang Jiang; Yuanpeng Zhang; Samiappan Dhanalakshmi
Journal:  J Healthc Eng       Date:  2022-02-18       Impact factor: 2.682

3.  Injectable hydrogel microspheres with self-renewable hydration layers alleviate osteoarthritis.

Authors:  Yiting Lei; Yuping Wang; Jieliang Shen; Zhengwei Cai; Chen Zhao; Hong Chen; Xiaoji Luo; Ning Hu; Wenguo Cui; Wei Huang
Journal:  Sci Adv       Date:  2022-02-02       Impact factor: 14.136

  3 in total

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