Quantitative measurement of medial femoral knee cartilage volume - analysis of the OA Biomarkers Consortium FNIH Study cohort.

Quantitative measurement of medial femoral knee cartilage volume - analysis of the OA Biomarkers Consortium FNIH Study cohort.
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股骨内侧膝软骨体积的定量测量 - OA 生物标志物联盟 FNIH 研究队列的分析。

DOI:
10.1016/j.joca.2017.01.010
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发表时间:
2017
影响因子:
7
通讯作者:
Duryea,J
Duryea,J
中科院分区:
医学2区
文献类型:
--
作者:
Schaefer,LF;Sury,M;Yin,M;Jamieson,S;Donnell,I;Smith,SE;Lynch,JA;Nevitt,MC;Duryea,J

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目的:对膝骨关节炎(KOA)的大规模研究需要具有良好特征的有效方法来评估其进展。我们之前开发了局部软骨分割(LACS)软件方法,用于测量磁共振成像(MRI)扫描的软骨体积。本研究在更大的患者队列中进一步验证了该方法,并在病例对照研究中评估了预测有效性。方法骨性关节炎生物标志物联盟FNIH项目是骨性关节炎倡议(OAI)中骨性关节炎进展的病例对照研究,根据放射学和疼痛进展分为四个亚组,包括600名受试者。我们的软件工具测量了中心负重区内侧股骨软骨体积的变化。评估不同大小的软骨区域以探索其对变化的敏感性。这些读数是在基线和24个月访问时通过核磁共振扫描进行的。我们使用标准化反应方法(SRMs)来评估反应性,并使用逻辑回归来评估预测效度。结果软骨体积变化与影像学进展密切相关(优势比(OR) = 4.66;95%置信区间(CI) = 2.85-7.62)。OR是显著的,但对于放射学和疼痛进展的综合结果,OR值较小(OR = 1.70; 95% CI = 1.40-2.07)。在全部600名受试者中,最大分割区域的srrm为- 0.51。较小的软骨分割区域也能够预测病例-对照状态。每次扫描最大区域的平均读取时间不到20分钟。更小的区域可以用更少的读者时间来评估。结论:我们证明了LACS方法快速,反应灵敏,与放射学和疼痛进展相关,适用于现有和未来的KOA大型研究。
ObjectiveLarge studies of knee osteoarthritis (KOA) require well-characterized efficient methods to assess progression. We previously developed the local-area cartilage segmentation (LACS) software method, to measure cartilage volume on magnetic resonance imaging (MRI) scans. The present study further validates this method in a larger patient cohort and assesses predictive validity in a case–control study.MethodThe OA Biomarkers Consortium FNIH Project, a case–control study of KOA progression nested within the Osteoarthritis Initiative (OAI), includes 600 subjects in four subgroups based on radiographic and pain progression. Our software tool measured change in medial femoral cartilage volume in a central weight-bearing region. Different sized regions of cartilage were assessed to explore their sensitivity to change. The readings were performed on MRI scans at the baseline and 24-month visits. We used standardized response means (SRMs) for responsiveness and logistic regression for predictive validity.ResultsCartilage volume change was associated strongly with radiographic progression (odds ratios (OR) = 4.66; 95% confidence intervals (CI) = 2.85–7.62). OR were significant but of lesser magnitude for the combined radiographic and pain progression outcome (OR = 1.70; 95% CI = 1.40–2.07). For the full 600 subjects, theSRM was −0.51 for the largest segmented area. Smaller areas of cartilage segmentation were also able to predict the case–control status. The average reader time for the largest area was less than 20 min per scan. Smaller areas could be assessed with less reader time.ConclusionWe demonstrated that the LACS method is fast, responsive, and associated with radiographic and pain progression, and is appropriate for existing and future large studies of KOA.
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