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1.
Osteoarthritis Cartilage ; 24(3): 436-42, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26521012

ABSTRACT

OBJECTIVE: Developmental dysplasia of the hip (DDH) is associated with an increased risk of early hip osteoarthritis (OA). We aimed to examine the outcome at the completion of growth in a cohort of children who had residual acetabular dysplasia at age 1 year following early treatment for neonatal instability of the hip (NIH). DESIGN: We examined 21 of 30 subjects who had been treated with the von Rosen splint neonatally for NIH and had residual acetabular dysplasia at age 1 year. Mean follow-up time was 21 years (range 17-24). Signs of OA and acetabular dysplasia were assessed by radiography. Cartilage quality was assessed by delayed Gadolinium Enhanced Magnetic Resonance Imaging of Cartilage (dGEMRIC), a tool for molecular imaging of cartilage quality, at 1.5 T. Patient reported outcome (PRO) was assessed by the 12-item WOMAC score. RESULTS: No study participant had radiographic OA (defined as Kellgren-Lawrence grade ≥2) or minimum joint space width (JSW) ≤2 mm. The mean dGEMRIC index was 630 ms (95% CI: 600-666, range: 516-825) suggesting good cartilage quality. The mean 12-item WOMAC score was 1.2. Two of three radiographic measurements of DDH correlated positively to the dGEMRIC index. CONCLUSIONS: Children treated neonatally for NIH have good hip function and no signs of cartilage degeneration at 21-year follow-up, despite residual dysplasia at age 1 year. Unexpectedly, radiographic signs of dysplasia were associated with better cartilage quality, as assessed with dGEMRIC. This may indicate cartilage adaptation to increased mechanical stress in mild hip dysplasia.


Subject(s)
Hip Dislocation, Congenital/complications , Osteoarthritis, Hip/etiology , Cartilage, Articular/diagnostic imaging , Contrast Media , Female , Follow-Up Studies , Gadolinium DTPA , Hip Dislocation, Congenital/diagnostic imaging , Hip Dislocation, Congenital/therapy , Humans , Infant, Newborn , Magnetic Resonance Imaging/methods , Male , Osteoarthritis, Hip/diagnostic imaging , Prognosis , Radiography , Severity of Illness Index , Splints , Treatment Outcome
2.
Osteoarthritis Cartilage ; 22(10): 1511-5, 2014 Oct.
Article in English | MEDLINE | ID: mdl-25278060

ABSTRACT

OBJECTIVE: The quantitative interpretation of hip cartilage magnetic resonance imaging (MRI) has been limited by the difficulty of identifying and delineating the cartilage in a three-dimensional (3D) dataset, thereby reducing its routine usage. In this paper a solution is suggested by unfolding the cartilage to planar two-dimensional (2D) maps on which both morphology and biochemical degeneration patterns can be investigated across the entire hip joint. DESIGN: Morphological TrueFISP and biochemical delayed gadolinium enhanced MRI of cartilage (dGEMRIC) hip images were acquired isotropically for 15 symptomatic subjects with mild or no radiographic osteoarthritis (OA). A multi-template based label fusion technique was used to automatically segment the cartilage tissue, followed by a geometric projection algorithm to generate the planar maps. The segmentation performance was investigated through a leave-one-out study, for two different fusion methods and as a function of the number of utilized templates. RESULTS: For each of the generated planar maps, various patterns could be seen, indicating areas of healthy and degenerated cartilage. Dice coefficients for cartilage segmentation varied from 0.76 with four templates to 0.82 with 14 templates. Regional analysis suggests even higher segmentation performance in the superior half of the cartilage. CONCLUSIONS: The proposed technique is the first of its kind to provide planar maps that enable straightforward quantitative assessment of hip cartilage morphology and dGEMRIC values. This technique may have important clinical applications for patient selection for hip preservation surgery, as well as for epidemiological studies of cartilage degeneration patterns. It is also shown that 10-15 templates are sufficient for accurate segmentation in this application.


Subject(s)
Cartilage Diseases/pathology , Cartilage, Articular/pathology , Hip Joint/pathology , Imaging, Three-Dimensional/methods , Osteoarthritis, Hip/pathology , Adolescent , Adult , Cartilage Diseases/etiology , Female , Gadolinium , Humans , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging , Male , Middle Aged , Osteoarthritis, Hip/complications , Retrospective Studies , Severity of Illness Index , Young Adult
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