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Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques

T2 mapping assesses tissue ultrastructure and composition, yet the association of imaging features and tissue functionality is oftentimes unclear. This study aimed to elucidate this association for the posterior cruciate ligament (PCL) across the micro- and macroscale and as a function of loading. T...

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Autores principales: Wilms, Lena Marie, Radke, Karl Ludger, Abrar, Daniel Benjamin, Latz, David, Schock, Justus, Frenken, Miriam, Windolf, Joachim, Antoch, Gerald, Filler, Timm Joachim, Nebelung, Sven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535058/
https://www.ncbi.nlm.nih.gov/pubmed/34679487
http://dx.doi.org/10.3390/diagnostics11101790
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author Wilms, Lena Marie
Radke, Karl Ludger
Abrar, Daniel Benjamin
Latz, David
Schock, Justus
Frenken, Miriam
Windolf, Joachim
Antoch, Gerald
Filler, Timm Joachim
Nebelung, Sven
author_facet Wilms, Lena Marie
Radke, Karl Ludger
Abrar, Daniel Benjamin
Latz, David
Schock, Justus
Frenken, Miriam
Windolf, Joachim
Antoch, Gerald
Filler, Timm Joachim
Nebelung, Sven
author_sort Wilms, Lena Marie
collection PubMed
description T2 mapping assesses tissue ultrastructure and composition, yet the association of imaging features and tissue functionality is oftentimes unclear. This study aimed to elucidate this association for the posterior cruciate ligament (PCL) across the micro- and macroscale and as a function of loading. Ten human cadaveric knee joints were imaged using a clinical 3.0T scanner and high-resolution morphologic and T2 mapping sequences. Emulating the posterior drawer test, the joints were imaged in the unloaded (δ(0)) and loaded (δ(1)) configurations. For the entire PCL, its subregions, and its osseous insertion sites, loading-induced changes were parameterized as summary statistics and texture variables, i.e., entropy, homogeneity, contrast, and variance. Histology confirmed structural integrity. Statistical analysis was based on parametric and non-parametric tests. Mean PCL length (37.8 ± 1.8 mm [δ(0)]; 44.0 ± 1.6 mm [δ(1)] [p < 0.01]), mean T2 (35.5 ± 2.0 ms [δ(0)]; 37.9 ± 1.3 ms [δ(1)] [p = 0.01]), and mean contrast values (4.0 ± 0.6 [δ(0)]; 4.9 ± 0.9 [δ(1)] [p = 0.01]) increased significantly under loading. Other texture features or ligamentous, osseous, and meniscal structures remained unaltered. Beyond providing normative T2 values across various scales and configurations, this study suggests that ligaments can be imaged morphologically and functionally based on joint loading and advanced MRI acquisition and post-processing techniques to assess ligament integrity and functionality in variable diagnostic contexts.
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spelling pubmed-85350582021-10-23 Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques Wilms, Lena Marie Radke, Karl Ludger Abrar, Daniel Benjamin Latz, David Schock, Justus Frenken, Miriam Windolf, Joachim Antoch, Gerald Filler, Timm Joachim Nebelung, Sven Diagnostics (Basel) Article T2 mapping assesses tissue ultrastructure and composition, yet the association of imaging features and tissue functionality is oftentimes unclear. This study aimed to elucidate this association for the posterior cruciate ligament (PCL) across the micro- and macroscale and as a function of loading. Ten human cadaveric knee joints were imaged using a clinical 3.0T scanner and high-resolution morphologic and T2 mapping sequences. Emulating the posterior drawer test, the joints were imaged in the unloaded (δ(0)) and loaded (δ(1)) configurations. For the entire PCL, its subregions, and its osseous insertion sites, loading-induced changes were parameterized as summary statistics and texture variables, i.e., entropy, homogeneity, contrast, and variance. Histology confirmed structural integrity. Statistical analysis was based on parametric and non-parametric tests. Mean PCL length (37.8 ± 1.8 mm [δ(0)]; 44.0 ± 1.6 mm [δ(1)] [p < 0.01]), mean T2 (35.5 ± 2.0 ms [δ(0)]; 37.9 ± 1.3 ms [δ(1)] [p = 0.01]), and mean contrast values (4.0 ± 0.6 [δ(0)]; 4.9 ± 0.9 [δ(1)] [p = 0.01]) increased significantly under loading. Other texture features or ligamentous, osseous, and meniscal structures remained unaltered. Beyond providing normative T2 values across various scales and configurations, this study suggests that ligaments can be imaged morphologically and functionally based on joint loading and advanced MRI acquisition and post-processing techniques to assess ligament integrity and functionality in variable diagnostic contexts. MDPI 2021-09-28 /pmc/articles/PMC8535058/ /pubmed/34679487 http://dx.doi.org/10.3390/diagnostics11101790 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wilms, Lena Marie
Radke, Karl Ludger
Abrar, Daniel Benjamin
Latz, David
Schock, Justus
Frenken, Miriam
Windolf, Joachim
Antoch, Gerald
Filler, Timm Joachim
Nebelung, Sven
Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques
title Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques
title_full Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques
title_fullStr Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques
title_full_unstemmed Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques
title_short Micro- and Macroscale Assessment of Posterior Cruciate Ligament Functionality Based on Advanced MRI Techniques
title_sort micro- and macroscale assessment of posterior cruciate ligament functionality based on advanced mri techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535058/
https://www.ncbi.nlm.nih.gov/pubmed/34679487
http://dx.doi.org/10.3390/diagnostics11101790
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