A pilot study to assess the healing of meniscal tears in young adult goats

William Fedje-Johnston, Casey P. Johnson, Ferenc Tóth, Cathy S. Carlson, Arin M. Ellingson, Melissa Albersheim, Jack Lewis, Joan Bechtold, Jutta Ellermann, Aaron Rendahl, Marc Tompkins*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Meniscal tears are a common orthopedic injury, yet their healing is difficult to assess post-operatively. This impedes clinical decisions as the healing status of the meniscus cannot be accurately determined non-invasively. Thus, the objectives of this study were to explore the utility of a goat model and to use quantitative magnetic resonance imaging (MRI) techniques, histology, and biomechanical testing to assess the healing status of surgically induced meniscal tears. Adiabatic T1ρ, T2, and T2* relaxation times were quantified for both operated and control menisci ex vivo. Histology was used to assign healing status, assess compositional elements, and associate healing status with compositional elements. Biomechanical testing determined the failure load of healing lesions. Adiabatic T1ρ, T2, and T2* were able to quantitatively identify different healing states. Histology showed evidence of diminished proteoglycans and increased vascularity in both healed and non-healed menisci with surgically induced tears. Biomechanical results revealed that increased healing (as assessed histologically and on MRI) was associated with greater failure load. Our findings indicate increased healing is associated with greater meniscal strength and decreased signal differences (relative to contralateral controls) on MRI. This indicates that quantitative MRI may be a viable method to assess meniscal tears post-operatively.

Original languageEnglish
Article number14181
JournalScientific Reports
Issue number1
StatePublished - Dec 2021
Externally publishedYes


Dive into the research topics of 'A pilot study to assess the healing of meniscal tears in young adult goats'. Together they form a unique fingerprint.

Cite this