T2* relaxometry and volume predict semi-quantitative histological scoring of an ACL bridge-enhanced primary repair in a porcine model.

T2* relaxometry and volume predict semi-quantitative histological scoring of an ACL bridge-enhanced primary repair in a porcine model.
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DOI:
10.1002/jor.22874
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发表时间:
2015-08
影响因子:
2.8
通讯作者:
Fleming, Braden C.
Fleming, Braden C.
中科院分区:
医学3区
文献类型:
--
作者:
Biercevicz, Alison M.;Proffen, Benedikt L.;Murray, Martha M.;Walsh, Edward G.;Fleming, Braden C.

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磁共振成像(MRI)变量,如T2* 和体积,可以预测愈合韧带的结构特性。这些MR变量与愈合ACL的半定量组织学如何相关尚不清楚。我们假设T2* 和体积可以预测ACL愈合的组织学评分。尤卡坦小型猪进行ACL横断,并接受:桥接增强ACL修复或不治疗。52周后收集手术腿,并使用高分辨率双回波序列成像。对于每个韧带,确定体积和中值T2* 值。然后使用高级韧带成熟度指数(LMI)对ACL标本进行组织学分析。愈合韧带的T2* 可显著预测LMI总评分以及细胞、胶原和血管分项评分; R2分别=0.78、0.67、0.65和0.60(p≤0.001)。韧带体积还预测了总LMI评分、细胞和胶原亚评分; R2分别=0.39、0.33、0.37和0.60(p≤0.001)。较低的韧带T2* 或较高的体积与愈合韧带的较高组织学评分相关。这项研究提供了一个关键的一步,在发展的非侵入性方法,以评估韧带愈合的微观尺度。
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 noninvasive method to evaluate ligament healing on a microscopic scale.
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