T2* relaxometry and volume predict semi‐quantitative histological scoring of an ACL bridge‐enhanced primary repair in a porcine model |
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Authors: | Alison M. Biercevicz Benedikt L. Proffen Martha M. Murray Edward G. Walsh Braden C. Fleming |
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Affiliation: | 1. Department of Orthopaedics, Warren Alpert Medical School, Brown University/Rhode Island Hospital, Suite 404, 1 Hoppin Street, Providence, Rhode Island;2. School of Engineering, Brown University, Providence, Rhode Island;3. Department of Orthopaedic Surgery, Children's Hospital Boston, Boston, Massachusetts;4. Department of Neuroscience, Division of Biology and Medicine, Brown University, Providence, Rhode Island |
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Abstract: | Magnetic resonance imaging (MRI) variables, such as T2* and volume, can predict the healing ligament structural properties. How these MR variables relate to semi‐quantitative histology of the healing ACL is yet unknown. We hypothesized that T2* and volume would predict the histological scoring of a healing ACL. Yucatan minipigs underwent ACL transection and received bridge‐enhanced ACL repair or no treatment. The surgical legs were harvested after 52 weeks and imaged using a high resolution 2‐echo sequence. For each ligament, the volume and median T2* values were determined. The ACL specimens were then histologically analyzed using the advanced Ligament Maturity Index (LMI). The T2* of the healing ligaments significantly predicted the total LMI score as well as the cell, collagen and vessel sub‐scores; R2 = 0.78, 0.67, 0.65, and 0.60, respectively (p ≤ 0.001). The ligament volume also predicted the total LMI score, cell, and collagen sub‐scores; R2 = 0.39, 0.33, 0.37, and 0.60, respectively (p ≤ 0.001). A lower ligament T2* or a higher volume was associated with higher histological scores of the healing ligaments. This study provides a critical step in the development of a non‐invasive method to evaluate ligament healing on a microscopic scale. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:1180–1187, 2015. |
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Keywords: | MRI ACL histology ligament healing |
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