TY - JOUR

T1 - Automatic quantification of local and global articular cartilage surface curvature

T2 - biomarkers for osteoarthritis?

AU - Folkesson, Jenny

AU - Dam, Erik B

AU - Olsen, Ole F

AU - Karsdal, Morten A

AU - Pettersen, Paola C

AU - Christiansen, Claus

N1 - Copyright (c) 2008 Wiley-Liss, Inc.

PY - 2008/6

Y1 - 2008/6

N2 - 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.

AB - 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.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Biomarkers

KW - Cartilage, Articular

KW - Cross-Sectional Studies

KW - Female

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Longitudinal Studies

KW - Magnetic Resonance Imaging

KW - Male

KW - Middle Aged

KW - Osteoarthritis, Knee

KW - Reproducibility of Results

KW - Surface Properties

KW - Journal Article

U2 - 10.1002/mrm.21560

DO - 10.1002/mrm.21560

M3 - Journal article

C2 - 18506845

VL - 59

SP - 1340

EP - 1346

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

IS - 6

ER -