Accuracy of 3D dual echo steady state (DESS) MR arthrography to quantify acetabular cartilage thickness

作者：Abraham Christine L; Bangerter Neal K; McGavin Lance S; Peters Christopher L; Drew Alex J; Hanrahan Christopher J; Anderson Andrew E^*

来源：Journal of Magnetic Resonance Imaging, 2015, 42(5): 1329-1338.

DOI：10.1002/jmri.24902

• hip
• DESS MRI
• cartilage thickness
• cartilage imaging
• osteoarthritis

PurposeTo deploy and quantify the accuracy of 3D dual echo steady state (DESS) MR arthrography with hip traction to image acetabular cartilage. Clinical magnetic resonance imaging (MRI) sequences used to image hip cartilage often have reduced out-of-plane resolution and may lack adequate signal-to-noise to image cartilage.
Materials and MethodsSaline was injected into four cadaver hips placed under traction. 3D DESS MRI scans were obtained before and after cores of cartilage were harvested from the acetabulum; the two MRIs were spatially aligned to reference core positions. The thickness of cartilage cores was measured under microscopy to serve as the reference standard. 3D reconstructions of cartilage and subchondral bone were generated using automatic and semiautomatic image segmentation. Cartilage thickness estimated from the 3D reconstructions was compared to physical measurements using Bland-Altman plots.
ResultsAs revealed by the automatic segmentation mask, saline imbibed the joint space throughout the articulating surface, with the exception of the posteroinferior region in two hips. Locations where air bubbles were introduced and regions of suspected low density bone disrupted an otherwise smooth automatic segmentation mask. Automatic and semiautomatic segmentation yielded a biasrepeatability coefficient (95% limits of agreement) of 0.10 +/- 0.51 mm (-0.41 to 0.61 mm) and 0.06 +/- 0.43 mm (-0.37 to 0.49 mm), respectively.
ConclusionCartilage thickness can be estimated to within approximate to 0.5 mm of the physical value with 95% confidence using 3D reconstructions of 3D DESS MR arthrography images. Manual correction of the automatic segmentation mask may improve reconstruction accuracy. J. Magn. Reson. Imaging 2015;42:1329-1338.

• 出版日期2015-11