2018
DOI: 10.1002/jor.24147
|View full text |Cite
|
Sign up to set email alerts
|

MR study of longitudinal variations in proximal femur 3D morphological shape and associations with cartilage health in hip osteoarthritis

Abstract: The goal of this study was to use quantitative MRI analysis to longitudinally observe the relationship between 3D proximal femur shape and hip joint degenerative changes. Forty-six subjects underwent unilateral hip MR imaging at three time points (baseline, 18 and 36 months). 3D shape analysis, hip cartilage T1ρ/T2 relaxation time quantification, and SHOMRI MRI grading were performed at each time point. Subjects were grouped based on KL, SHOMRI, and HOOS pain scores. Associations between these score groupings,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
16
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(16 citation statements)
references
References 41 publications
(101 reference statements)
0
16
0
Order By: Relevance
“…Pedoia et al [35] reported shape change in the knee after anterior cruciate ligament injury in young persons, but this study differed in many ways from the current one, particularly in the injury-related context as well as using 3-D MRI rather than radiography. A study examining shape variations over time in a different joint, the hip, reported changes in the volume and shape of the femoral head and neck during 36 months that were associated with hip pain [20]. However, there are multiple differences from the current study: a different joint, much younger participant age (47 years versus almost 60 years), and MRI was used instead of radiography.…”
Section: Does the Shape Of The Knee Segregate Stably Into Different Gmentioning
confidence: 82%
See 2 more Smart Citations
“…Pedoia et al [35] reported shape change in the knee after anterior cruciate ligament injury in young persons, but this study differed in many ways from the current one, particularly in the injury-related context as well as using 3-D MRI rather than radiography. A study examining shape variations over time in a different joint, the hip, reported changes in the volume and shape of the femoral head and neck during 36 months that were associated with hip pain [20]. However, there are multiple differences from the current study: a different joint, much younger participant age (47 years versus almost 60 years), and MRI was used instead of radiography.…”
Section: Does the Shape Of The Knee Segregate Stably Into Different Gmentioning
confidence: 82%
“…Multiple studies using statistical shape modeling have found that there are sex-related differences in knee shape in individuals with and without knee OA [2,30,34,42,45], but these have all evaluated bone shape at a single timepoint. A few published studies described change in the knee's shape over time [20,35,50]; however, none of these trajectory-related statistical shape modeling studies examined the relation of sex to change in bone shape over time. This may be because all of the studies had relatively small numbers of participants and likely did not have power to identify sex-related differences.…”
Section: Do Females and Males Have Different Trajectories Of Bone Shamentioning
confidence: 99%
See 1 more Smart Citation
“…This raises the question of whether 50-70 years ago children were more active, and whether we are observing secular rather than within-individual changes. Furthermore, a recent longitudinal study in individuals with hip osteoarthritis suggests that FNA decreases with time over a period of 3 years (Inamdar et al, 2019). This might be due to localised addition of bone on the periosteal surface with increasing age, microfractures or the bony erosion due to the osteoarthritic condition.…”
Section: Epidemi Ologymentioning
confidence: 99%
“…Image analysis was performed automatically using an in‐house program developed in MATLAB (Mathworks, Natick, MA). The 3D shape analysis of the femur was performed using the methods as previously described by Pedoia et al, using an atlas‐based method refined by active contours and 3D statistical shape modeling (SSM) . The SSM has the ability to characterize complex shapes using principal component analysis (PCA).…”
Section: Methodsmentioning
confidence: 99%