1. In Situ Loading and Time-Resolved Synchrotron-Based Phase Contrast Tomography for the Mechanical Investigation of Connective Knee Tissues: A Proof-of-Concept Study.
- Author
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Dejea H, Pierantoni M, Orozco GA, B Wrammerfors ET, Gstöhl SJ, Schlepütz CM, and Isaksson H
- Subjects
- Animals, Cattle, Proof of Concept Study, Knee Joint diagnostic imaging, Meniscus diagnostic imaging, Biomechanical Phenomena, Connective Tissue diagnostic imaging, X-Ray Microtomography methods, Osteoarthritis, Knee diagnostic imaging, Stress, Mechanical, Synchrotrons, Cartilage, Articular diagnostic imaging
- Abstract
Articular cartilage and meniscus transfer and distribute mechanical loads in the knee joint. Degeneration of these connective tissues occurs during the progression of knee osteoarthritis, which affects their composition, microstructure, and mechanical properties. A deeper understanding of disease progression can be obtained by studying them simultaneously. Time-resolved synchrotron-based X-ray phase-contrast tomography (SR-PhC-µCT) allows to capture the tissue dynamics. This proof-of-concept study presents a rheometer setup for simultaneous in situ unconfined compression and SR-PhC-µCT of connective knee tissues. The microstructural response of bovine cartilage (n = 16) and meniscus (n = 4) samples under axial continuously increased strain, or two steps of 15% strain (stress-relaxation) is studied. The chondrocyte distribution in cartilage and the collagen fiber orientation in the meniscus are assessed. Variations in chondrocyte density reveal an increase in the top 40% of the sample during loading, compared to the lower half. Meniscus collagen fibers reorient perpendicular to the loading direction during compression and partially redisperse during relaxation. Radiation damage, image repeatability, and image quality assessments show little to no effects on the results. In conclusion, this approach is highly promising for future studies of human knee tissues to understand their microstructure, mechanical response, and progression in degenerative diseases., (© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.)
- Published
- 2024
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