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Quantitative morphometric patterns in cartilage and bone from the humeral heads of end-stage osteoarthritis patients

Pawson, D J; Glanzmann, M; Luechinger, R; Müller, R; Stok, K S (2015). Quantitative morphometric patterns in cartilage and bone from the humeral heads of end-stage osteoarthritis patients. Osteoarthritis and Cartilage, 23(8):1377-1387.

Abstract

OBJECTIVE: The purpose of this work is to investigate in a quantitative manner, the gross and regional structural patterns in cartilage and bone from the humeral head of end-stage OA patients, with the goal of identifying patterns of disease. Since the prevalence of primary OA of the shoulder is increasing as the population ages and the non-traumatic degenerative changes leading to this disease are poorly understood, a site-specific morphometric analysis speaks to the structure-function remodelling relationship of the pathological anatomy.
METHODS: Humeral heads were harvested from twenty-one patients undergoing shoulder arthroplasty for end-stage primary OA. The samples were scanned with micro-computed tomography and magnetic resonance imaging (MRI), and registered to provide reconstructed 3D datasets of the cartilage, cortical and trabecular bone tissues. Gross visual examination of the datasets allowed samples to be classified as OA-like, osteoporosis (OP)-like or OA/OP-like.
RESULTS: Volumes of interest (VOI) separating the OA-like samples into five distinct regions showed positive correlations between bone and cartilage morphometric parameters; specifically in areas where more cartilage has been lost, the underlying subchondral cortical bone was more porous and thicker, while the subchondral trabecular bone was more dense, including more connections and trabeculae. These differences were site-specific, where the central humeral head saw the greatest destruction of cartilage and bone sclerosis, followed by the anterior aspects.
CONCLUSION: The ability to correlate bone and cartilage changes is valuable, as these structural cues may allow a more targeted diagnostic approach and a better classification of the disease, leading to improved therapies.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Scopus Subject Areas:Health Sciences > Rheumatology
Physical Sciences > Biomedical Engineering
Health Sciences > Orthopedics and Sports Medicine
Language:English
Date:2015
Deposited On:21 Jan 2016 13:53
Last Modified:15 Aug 2024 01:37
Publisher:Elsevier
ISSN:1063-4584
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.joca.2015.04.009
PubMed ID:25887368

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