Magnetic resonance and diffusion tensor imaging of the adolescent rabbit growth plate of the kneeShow others and affiliations
2023 (English)In: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 89, no 1, p. 331-342Article in journal (Refereed) Published
Abstract [en]
PURPOSE: To assess the ability of MRI-DTI to evaluate growth plate morphology and activity compared with that of histomorphometry and micro-CT in rabbits.
METHODS: The hind limbs of female rabbits aged 16, 20, and 24 wk (n = 4 per age group) were studied using a 9.4T MRI scanner with a multi-gradient echo 3D sequence and DTI in 14 directions (b-value = 984 s/mm2 ). After MRI, the right and left hind limb were processed for histological analysis and micro-CT, respectively. The Wilcoxon signed-rank test was used to evaluate the height and volume of the growth plate. Intraclass correlation and Pearson correlation coefficient were used to evaluate the association between DTI metrics and age.
RESULTS: The growth plate height and volume were similar for all modalities at each time point and age. Age was correlated with all tractography and DTI metrics in both the femur and tibia. A correlation was also observed between all the metrics at both sites. Tract number and volume declined with age; however, tract length did not show any changes. The fractional anisotropy color map showed lateral diffusion centrally in the growth plate and perpendicular diffusion in the hypertrophic zone, as verified by histology and micro-CT.
CONCLUSION: MRI-DTI may be useful for evaluating the growth plates.
Place, publisher, year, edition, pages
John Wiley & Sons, 2023. Vol. 89, no 1, p. 331-342
Keywords [en]
Cartilage, diffusion-tensor imaging (DTI), growth plate, magnetic resonance imaging (MRI), skeletal maturation
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:oru:diva-101421DOI: 10.1002/mrm.29432ISI: 000854034400001PubMedID: 36110062Scopus ID: 2-s2.0-85138045112OAI: oai:DiVA.org:oru-101421DiVA, id: diva2:1698401
Note
Funding agency:
Stockholm University Brain Imaging Centre
2022-09-232022-09-232023-12-08Bibliographically approved