Folkesson Jenny, Dam Erik B, Olsen Ole F, Karsdal Morten A, Pettersen Paola C, Christiansen Claus
Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2100 Copenhagen E, Denmark.
Magn Reson Med. 2008 Jun;59(6):1340-6. doi: 10.1002/mrm.21560.
The objective of this study was to quantitatively assess the surface curvature of the articular cartilage from low-field magnetic resonance imaging (MRI) data, and to investigate its role in populations with varying radiographic signs of osteoarthritis (OA), cross-sectionally and longitudinally. The curvature of the articular surface of the medial tibial compartment was estimated both on fine and coarse scales using two different automatic methods which are both developed from an automatic 3D segmentation algorithm. Cross-sectionally (n=288), the surface curvature for both the fine- and coarse-scale estimates were significantly higher in the OA population compared with the healthy population, with P<0.001 and P<<0.001, respectively. For the longitudinal study (n=245), there was a significant increase in fine-scale curvature for healthy and borderline OA populations (P<0.001), and in coarse-scale curvature for severe OA populations (P<0.05). Fine-scale curvature could predict progressors using the estimates of those healthy at baseline (P<0.001). The inter-scan precision was 2.2 and 6.5 (mean CV) for the fine- and coarse scale curvature measures, respectively. The results showed that quantitative curvature estimates from low-field MRI at different scales could potentially become biomarkers targeted at different stages of OA.
本研究的目的是从低场磁共振成像（MRI）数据中定量评估关节软骨的表面曲率，并从横断面和纵向研究其在具有不同骨关节炎（OA）影像学征象人群中的作用。使用两种均基于自动3D分割算法开发的不同自动方法，在精细和粗略尺度上估计内侧胫骨平台关节表面的曲率。横断面研究（n = 288）中，OA人群的精细和粗略尺度估计的表面曲率均显著高于健康人群，P值分别<0.001和<<0.001。纵向研究（n = 245）中，健康和边缘性OA人群的精细尺度曲率显著增加（P<0.001），重度OA人群的粗略尺度曲率显著增加（P<0.05）。精细尺度曲率可利用基线时健康者的估计值预测病情进展者（P<0.001）。精细和粗略尺度曲率测量的扫描间精度分别为2.2和6.5（平均CV）。结果表明，来自低场MRI的不同尺度定量曲率估计可能成为针对OA不同阶段的生物标志物。
