Association of subchondral bone texture on magnetic resonance imaging with radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative Bone Ancillary Study.
Association of subchondral bone texture on magnetic resonance imaging with radiographic knee osteoarthritis progression: data from the Osteoarthritis Initiative Bone Ancillary Study.
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DOI：
10.1007/s00330-018-5444-9
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发表时间：
2018-11
影响因子：
5.9
通讯作者：
Gilbert FJ
中科院分区：
文献类型：
--
作者：
MacKay JW;Kapoor G;Driban JB;Lo GH;McAlindon TE;Toms AP;McCaskie AW;Gilbert FJ
旨在评估磁共振成像 (MRI) 软骨下骨纹理的初始变化或 12-18 个月的变化是否可以预测 36 个月内膝骨关节炎 (OA) 的放射学进展。这是一项巢式病例对照研究，包括 122 名参加骨关节炎倡议 (OAI) 骨辅助研究的参与者，他们在 30 个月、36 个月和 48 个月的 OAI 就诊时接受了针对软骨下骨评估优化的 MRI。病例膝关节 (n = 61) 在 36 个月和 72 个月的 OAI 就诊期间出现放射学 OA 进展，定义为最小内侧胫股放射学关节间隙 (minJSW) 损失≥ 0.7 毫米。无放射学 OA 进展的对照膝关节 (n = 61) 与年龄、性别、体重指数和初始内侧 minJSW 病例进行匹配 (1:1)。对股骨内侧和胫骨软骨下骨进行纹理分析。我们通过使用惩罚逻辑回归创建复合纹理评分并计算优势比来评估纹理特征与放射线进展的关联。我们使用 c 统计量评估了纹理特征用于预测放射学进展的预测性能。初始（比值比 [95% 置信区间] = 2.13 [1.41–3.40]）和 12–18 个月变化（3.76 [2.04–7.82]）纹理评分与放射学 OA 进展显着相关。使用初始（c 统计量 [95% 置信区间] = 0.65 [0.64-0.65]，p = 0.003）和 12-18 个月变化（0.68 [0.68-0.68]，p < 0.001）数据，纹理特征的组合是放射学进展的显着预测因子。 MRI 软骨下骨纹理评分的初始和 12-18 个月变化与 36 个月时的放射学进展显着相关，对 12-18 个月纹理变化具有更好的预测性能。这些结果表明，纹理分析可能是 OA 软骨下骨的有用生物标志物。 • 软骨下骨MRI 纹理分析是一种有前途的膝骨关节炎成像生物标志物。 • 在这项研究中，软骨下骨质地与膝骨关节炎的进展相关。 • 这证明了MRI 软骨下骨纹理分析的预测和并行有效性。 • 该方法可能在针对骨的干预措施的临床试验中有用。 本文的在线版本 (10.1007/s00330-018-5444-9) 包含补充材料，可供授权用户使用。
To assess whether initial or 12–18-month change in magnetic resonance imaging (MRI) subchondral bone texture is predictive of radiographic knee osteoarthritis (OA) progression over 36 months. This was a nested case-control study including 122 knees/122 participants in the Osteoarthritis Initiative (OAI) Bone Ancillary Study, who underwent MRI optimised for subchondral bone assessment at either the 30- or 36-month and 48-month OAI visits. Case knees (n = 61) had radiographic OA progression between the 36- and 72-month OAI visits, defined as ≥ 0.7 mm minimum medial tibiofemoral radiographic joint space (minJSW) loss. Control knees (n = 61) without radiographic OA progression were matched (1:1) to cases for age, sex, body mass index and initial medial minJSW. Texture analysis was performed on the medial femoral and tibial subchondral bone. We assessed the association of texture features with radiographic progression by creating a composite texture score using penalised logistic regression and calculating odds ratios. We evaluated the predictive performance of texture features for predicting radiographic progression using c-statistics. Initial (odds ratio [95% confidence interval] = 2.13 [1.41–3.40]) and 12– 18-month change (3.76 [2.04–7.82]) texture scores were significantly associated with radiographic OA progression. Combinations of texture features were significant predictors of radiographic progression using initial (c-statistic [95% confidence interval] = 0.65 [0.64–0.65], p = 0.003) and 12–18-month change (0.68 [0.68-0.68], p < 0.001) data. Initial and 12–18-month changes in MRI subchondral bone texture score were significantly associated with radiographic progression at 36 months, with better predictive performance for 12–18-month change in texture. These results suggest that texture analysis may be a useful biomarker of subchondral bone in OA. • Subchondral bone MRI texture analysis is a promising knee osteoarthritis imaging biomarker. • In this study, subchondral bone texture was associated with knee osteoarthritis progression. • This demonstrates predictive and concurrent validity of MRI subchondral bone texture analysis. • This method may be useful in clinical trials with interventions targeting bone. The online version of this article (10.1007/s00330-018-5444-9) contains supplementary material, which is available to authorized users.
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影响因子：
4.9
作者：
LaValley MP;Lo GH;Price LL;Driban JB;Eaton CB;McAlindon TE
通讯作者：
McAlindon TE
影响因子：
19.7
作者：
Hodgdon, Taryn;McInnes, Matthew D. F.;Thornhill, Rebecca E.
通讯作者：
Thornhill, Rebecca E.
DOI：
10.1002/art.39731
发表时间：
2016-10
期刊：
Arthritis & rheumatology (Hoboken, N.J.)
影响因子：
--
作者：
Collins JE;Losina E;Nevitt MC;Roemer FW;Guermazi A;Lynch JA;Katz JN;Kent Kwoh C;Kraus VB;Hunter DJ
通讯作者：
Hunter DJ
影响因子：
--
作者：
Kraus, Virginia Byers;Feng, Sheng;Charles, H. Cecil
通讯作者：
Charles, H. Cecil
DOI：
10.1016/j.berh.2009.08.004
发表时间：
2010-02-01
影响因子：
5.2
作者：
Tat, Steeve Kwan;Lajeunesse, Daniel;Martel-Pelletier, Johanne
通讯作者：
Martel-Pelletier, Johanne