Quantative MRI predicts tendon mechanical behavior, collagen composition, and organization

Autor: Jennifer A. Zellers, Masoud Edalati, Jeremy D. Eekhoff, Reika McNish, Simon Y. Tang, Spencer P. Lake, Michael J. Mueller, Mary K. Hastings, Jie Zheng
Rok vydání: 2022
Předmět:
Zdroj: Journal of Orthopaedic Research.
ISSN: 1554-527X
0736-0266
DOI: 10.1002/jor.25471
Popis: Quantitative magnetic resonance imaging (qMRI) measures have provided insights into the composition, quality, and structure-function of musculoskeletal tissues. Low signal-to-noise ratio has limited application to tendon. Advances in scanning sequences and sample positioning have improved signal from tendon allowing for evaluation of structure and function. The purpose of this study was to elucidate relationships between tendon qMRI metrics (T1, T2, T1ρ and diffusion tensor imaging [DTI] metrics) with tendon tissue mechanics, collagen concentration and organization. Sixteen human Achilles tendon specimens were collected, imaged with qMRI, and subjected to mechanical testing with quantitative polarized light imaging. T2 values were related to tendon mechanics [peak stress (r
Databáze: OpenAIRE
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