Spatial Gradients of Quantitative MRI as Biomarkers for Early Detection of Osteoarthritis: Data From Human Explants and the Osteoarthritis Initiative
Spatial Gradients of Quantitative MRI as Biomarkers for Early Detection of Osteoarthritis: Data From Human Explants and the Osteoarthritis Initiative
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定量 MRI 的空间梯度作为骨关节炎早期检测的生物标志物：来自人类外植体和骨关节炎倡议的数据
DOI：
10.1002/jmri.28471
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发表时间：
2022
影响因子：
4.4
通讯作者：
Neu, Corey P.
中科院分区：
文献类型：
--
作者：
Wilson, Robert L.;Emery, Nancy C.;Pierce, David M.;Neu, Corey P.
研究背景健康的关节软骨在厚度上呈现明显的带状结构梯度，这在某些疾病的发病机制中可能被破坏。使用定量MRI数据分析纹理模式可以识别与早期骨关节炎（OA）相关的健康或退化组织的结构梯度。目的量化MRI数据中的空间梯度和模式，并探索OA早期严重程度的新候选生物标志物。研究类型回顾性研究。受试者14名接受全膝关节置换术的志愿者（8例男性/2例女性/4例未知，平均年龄±标准差：68.1 ± 9.6岁）和10例来自OA倡议（OAI）的影像学OA发作患者（2名男性/8名女性，平均年龄±标准差：57.7 ± 9.4岁;初始Kellgren-Lawrence [KL]分级：0;最终KL分级：场强/序列3.0 T和14.1 T，基于生物力学的位移编码成像，快速自旋回波，评估我们研究了接受全膝关节置换术的志愿者的软骨外植体的结构和应变，或患有进行性OA的OAI患者的软骨结构。我们计算了正常软骨表面的定量MRI测量（例如，T2）的空间梯度，以增强带状变化。统计学检验多参数线性回归用于评价混合效应模型的残差与组织学确定的OA严重程度评分之间的关系，显著性阈值为α= 0.05。结果个体松弛测量和生物力学测量的结果与OA严重程度显著相关，优于传统的弛豫测量和应变度量。在人体外植体中，空间梯度分析提供了与OA严重程度的最强关系（R2= 0.627）。来自OAI数据的T2空间梯度确定了单个受试者的放射学（KL 2级）OA严重程度的变化，而单独使用传统T2则没有。数据结论定量MRI数据的空间梯度可能提高无创成像对早期退行性变的预测能力。证据等级1技术有效性阶段1
BackgroundHealthy articular cartilage presents structural gradients defined by distinct zonal patterns through the thickness, which may be disrupted in the pathogenesis of several disorders. Analysis of textural patterns using quantitative MRI data may identify structural gradients of healthy or degenerating tissue that correlate with early osteoarthritis (OA).PurposeTo quantify spatial gradients and patterns in MRI data, and to probe new candidate biomarkers for early severity of OA.Study TypeRetrospective study.SubjectsFourteen volunteers receiving total knee replacement surgery (eight males/two females/four unknown, average age ± standard deviation: 68.1 ± 9.6 years) and 10 patients from the OA Initiative (OAI) with radiographic OA onset (two males/eight females, average age ± standard deviation: 57.7 ± 9.4 years; initial Kellgren‐Lawrence [KL] grade: 0; final KL grade: 3 over the 10‐year study).Field Strength/Sequence3.0‐T and 14.1‐T, biomechanics‐based displacement‐encoded imaging, fast spin echo, multi‐slice multi‐echo T2 mapping.AssessmentWe studied structure and strain in cartilage explants from volunteers receiving total knee replacement, or structure in cartilage of OAI patients with progressive OA. We calculated spatial gradients of quantitative MRI measures (eg, T2) normal to the cartilage surface to enhance zonal variations. We compared gradient values against histologically OA severity, conventional relaxometry, and/or KL grades.Statistical TestsMultiparametric linear regression for evaluation of the relationship between residuals of the mixed effects models and histologically determined OA severity scoring, with a significance threshold atα= 0.05.ResultsGradients of individual relaxometry and biomechanics measures significantly correlated with OA severity, outperforming conventional relaxometry and strain metrics. In human explants, analysis of spatial gradients provided the strongest relationship to OA severity (R2= 0.627). Spatial gradients of T2 from OAI data identified variations in radiographic (KL Grade 2) OA severity in single subjects, while conventional T2 alone did not.Data ConclusionSpatial gradients of quantitative MRI data may improve the predictive power of noninvasive imaging for early‐stage degeneration.Evidence Level1Technical EfficacyStage 1
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影响因子：
19.7
作者：
B. Schwaiger;A. Gersing;John Mbapte Wamba;M. Nevitt;C. McCulloch;T. Link
通讯作者：
B. Schwaiger;A. Gersing;John Mbapte Wamba;M. Nevitt;C. McCulloch;T. Link
影响因子：
27.4
作者：
DINGLE, JT;HORSFIELD, P;BARRATT, MEJ
通讯作者：
BARRATT, MEJ
影响因子：
7
作者：
Urish, K. L.;Keffalas, M. G.;Durkin, J. R.;Miller, D. J.;Chu, C. R.;Mosher, T. J.
通讯作者：
Mosher, T. J.
影响因子：
2.4
作者：
Chan DD;Cai L;Butz KD;Nauman EA;Dickerson DA;Jonkers I;Neu CP
通讯作者：
Neu CP
影响因子：
4.6
作者：
Wirth W;Maschek S;Roemer FW;Eckstein F
通讯作者：
Eckstein F