Literature DB >> 24792580

Improving the clinical efficiency of T2(*) mapping of ligament integrity.

A M Biercevicz1, E G Walsh2, M M Murray3, M R Akelman1, B C Fleming4.   

Abstract

Current MR methods use T2(*) relaxation time as a surrogate measure of ligament strength. Currently, a multi-echo voxel-wise least squares fit is the gold standard to create T2(*) maps; however, the post-processing is time-intensive and serves as a stopgap for clinical use. The study objective was to determine if an alternative method could improve post-processing time without sacrificing fidelity of T2(*) values for eventual translational use in the clinic. Using a 6 echo FLASH sequence, three different methods were used to determine intact posterior cruciate ligament (PCL) median T2(*) Two of these methods utilized a voxel-wise method to establish T2(*) maps: (1) a current "gold standard" method using a voxel-wise 6 echo least-squares fit (6LS) and (2) a voxel-wise 2 echo point T2(*) determination (2MM). The third method used median ligament signal intensity and a single nonlinear least-squares fit (6LSROI) instead of a voxel-wise basis. The resulting median T2(*) values of the PCL and computational time were compared. The median T2(*) values were 42% higher using the 2MM compared to the 6LS method (p<0.0001). However, a strong correlation was found for the median T2(*) values between the 2MM and 6LS methods (R(2)=0.80). The median T2(*) values were not significantly different between the 6LS and 6LSROI methods (p=0.519). Using the 2MM (which provides a regional map) and the 6LSROI (which efficiently provides the median T2(*) value) methods in tandem would take only minutes of post-processing computational time compared to the 6LS method (~540 min), and hence would facilitate clinical application of T2(*) maps to predict ligament structural properties as a patient outcome measure.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  MRI; Posterior cruciate ligament; T(2)(⁎) relaxometry

Mesh:

Year:  2014        PMID: 24792580      PMCID: PMC4057958          DOI: 10.1016/j.jbiomech.2014.03.037

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  12 in total

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7.  In Situ, noninvasive, T2*-weighted MRI-derived parameters predict ex vivo structural properties of an anterior cruciate ligament reconstruction or bioenhanced primary repair in a porcine model.

Authors:  Alison M Biercevicz; Daniel L Miranda; Jason T Machan; Martha M Murray; Braden C Fleming
Journal:  Am J Sports Med       Date:  2013-01-24       Impact factor: 6.202

8.  Correlation of meniscal T2* with multiphoton microscopy, and change of articular cartilage T2 in an ovine model of meniscal repair.

Authors:  M F Koff; P Shah; S Pownder; B Romero; R Williams; S Gilbert; S Maher; L A Fortier; S A Rodeo; H G Potter
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9.  Accuracy and precision in the measurement of relaxation times from nuclear magnetic resonance images.

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Authors:  Timothy C Dunn; Ying Lu; Hua Jin; Michael D Ries; Sharmila Majumdar
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2.  Rapid single scan ramped hybrid-encoding for bicomponent T2* mapping in a human knee joint: A feasibility study.

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3.  The uncertainty of predicting intact anterior cruciate ligament degeneration in terms of structural properties using T(2)(*) relaxometry in a human cadaveric model.

Authors:  A M Biercevicz; M R Akelman; L E Rubin; E G Walsh; D Merck; B C Fleming
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4.  Magnetic resonance measurements of tissue quantity and quality using T2 * relaxometry predict temporal changes in the biomechanical properties of the healing ACL.

Authors:  Jillian E Beveridge; Jason T Machan; Edward G Walsh; Ata M Kiapour; Naga Padmini Karamchedu; Kaitlyn E Chin; Benedikt L Proffen; Jakob T Sieker; Martha M Murray; Braden C Fleming
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5.  A Weighted Stochastic Conjugate Direction Algorithm for Quantitative Magnetic Resonance Images-A Pattern in Ruptured Achilles Tendon T2-Mapping Assessment.

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

Authors:  Alison M Biercevicz; Benedikt L Proffen; Martha M Murray; Edward G Walsh; Braden C Fleming
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8.  Quantifiable Imaging Biomarkers for Evaluation of the Posterior Cruciate Ligament Using 3-T Magnetic Resonance Imaging: A Feasibility Study.

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9.  Compositional MRI of the anterior cruciate ligament of professional alpine ski racers: preliminary report on seasonal changes and load sensitivity.

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10.  Relationship of Anterior Cruciate Ligament Volume and T2* Relaxation Time to Anterior Knee Laxity.

Authors:  Hsin-Min Wang; Sandra J Shultz; Scott E Ross; Robert A Henson; David H Perrin; Randy J Schmitz
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  10 in total

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