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Seeing Beyond Morphology-Standardized Stress MRI to Assess Human Knee Joint Instability

Authors :
Nebelung, Eva-Maria Winkelmeyer
Justus Schock
Lena Marie Wollschläger
Philipp Schad
Marc Sebastian Huppertz
Niklas Kotowski
Andreas Prescher
Christiane Kuhl
Daniel Truhn
Sven
Source :
Diagnostics; Volume 11; Issue 6; Pages: 1035
Publication Year :
2021
Publisher :
Multidisciplinary Digital Publishing Institute, 2021.

Abstract

While providing the reference imaging modality for joint pathologies, MRI is focused on morphology and static configurations, thereby not fully exploiting the modality’s diagnostic capabilities. This study aimed to assess the diagnostic value of stress MRI combining imaging and loading in differentiating partial versus complete anterior cruciate ligament (ACL)-injury. Ten human cadaveric knee joint specimens were subjected to serial imaging using a 3.0T MRI scanner and a custom-made pressure-controlled loading device. Emulating the anterior-drawer test, joints were imaged before and after arthroscopic partial and complete ACL transection in the unloaded and loaded configurations using morphologic sequences. Following manual segmentations and registration of anatomic landmarks, two 3D vectors were computed between anatomic landmarks and registered coordinates. Loading-induced changes were quantified as vector lengths, angles, and projections on the x-, y-, and z-axis, related to the intact unloaded configuration, and referenced to manual measurements. Vector lengths and projections significantly increased with loading and increasing ACL injury and indicated multidimensional changes. Manual measurements confirmed gradually increasing anterior tibial translation. Beyond imaging of ligament structure and functionality, stress MRI techniques can quantify joint stability to differentiate partial and complete ACL injury and, possibly, compare surgical procedures and monitor treatment outcomes.

Details

Language :
English
ISSN :
20754418
Database :
OpenAIRE
Journal :
Diagnostics; Volume 11; Issue 6; Pages: 1035
Accession number :
edsair.multidiscipl..f16409dd54d0b0be3b40d9b5bb80f653
Full Text :
https://doi.org/10.3390/diagnostics11061035