2003
DOI: 10.1016/s1063-4584(03)00091-8
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Templates of the cartilage layers of the patellofemoral joint and their use in the assessment of osteoarthritic cartilage damage

Abstract: This technique can be useful for in vivo clinical evaluation of cartilage thinning in the osteoarthritic patellofemoral joint.

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Cited by 72 publications
(69 citation statements)
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“…The patellar cartilage thickness is approximately 4 mm [3,6], although there is progressive thinning after the age of 50 years [16], presumably a normal aging process. The cartilage thickness in patients in our CT-based study was on average 2.5 mm and one possible reason may be all of these patients were older than 60 years.…”
Section: Discussionmentioning
confidence: 99%
“…The patellar cartilage thickness is approximately 4 mm [3,6], although there is progressive thinning after the age of 50 years [16], presumably a normal aging process. The cartilage thickness in patients in our CT-based study was on average 2.5 mm and one possible reason may be all of these patients were older than 60 years.…”
Section: Discussionmentioning
confidence: 99%
“…In order to track local/regional thickness changes over time, techniques for displaying regional thickness patterns have been developed (91,94,100,(113)(114)(115). These techniques have also been applied to the detection of cartilage lesions, but only a limited number of thickness intervals can be displayed with a limited number of color codes or gray levels.…”
Section: Image Analysis Techniquesmentioning
confidence: 99%
“…These local errors are relatively large in comparison with the average cartilage thickness (ThC) in the human knee, but are not surprising, given the limited section thickness of MR images. Cohen et al (114) used matching techniques to generate templates of 'normal' regional cartilage thickness from several healthy subjects and matched thickness maps from patients to these, in order to identify regions of cartilage loss.…”
Section: Image Analysis Techniquesmentioning
confidence: 99%
“…Stammberger et al proposed elastic registration of 3D cartilage surfaces to detect local changes in cartilage thickness; in both synthetic and volunteer data, thickness differences recovered from the registration method were similar to that from using Euclidean distance transformations (Stammberger et al, 2000). Cohen et al generated templates of cartilage of the patellofemoral joint and demonstrated the potential of using the standard thickness maps by comparing it with thickness maps generated for individual patients to identify regions with maximum loss of cartilage in patients with Osteoarthritis (Cohen et al, 2003). Recently, Carballido-Gamio et al performed inter-subject comparison of knee cartilage thickness after registration to a common reference space (Carballido-Gamio et al, 2008).…”
Section: Introductionmentioning
confidence: 99%