John David Biglands1,2,3, Steven F Tanner1,3, Ai Lyn Tan1,4, John P Ridgway1,3, Paul Emery1,4, Thorsten Feiweier5, Philip Robinson1, Andrew Grainger1, and Philip O'Connor1
1Leeds Biomedical Research Centre, The University of Leeds, Leeds, United Kingdom, 2Leeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom, 3Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom, 4Leeds Institute of Rheumatic and Musculoskeletal Medicine (LIRMM), The University of Leeds, Leeds, United Kingdom, 5Siemens Healthcare, Erlangen, Germany
Synopsis
The aim of this study
was to investigate the ability of diffusion tensor imaging (DTI) and T2
measurements to detect changes due to healing in athletes with muscle tears. 13
professional athletes were imaged within 2 days of injury and at the point that
they returned to training. Regions of interest depicting the tear were drawn at
visit 1 and were propagated to parameter maps from both visits taking into
account motion between images. The study showed significant differences in DTI
parameters and T2 values between visits, implying that these measures may be
useful quantitative markers in assessing muscle healing.
Introduction
Acute muscle
injuries are common in athletes, with tears due to active traumatic events
having a high prevalence (1).
Despite an increase in imaging based assessments of muscle tears and several
proposed grading systems the prevalent MRI-based classification is still based
on a qualitative quantification of the amount of torn fibres (2).
Diffusion tensor imaging (DTI) using Stimulated Echo Acquisition Mode (STEAM)
is particularly suited to muscle imaging as it allows long diffusion times
without strong T2-induced SNR loss and improved fat suppression of the olefinic
fat peak (3).
STEAM-DTI has been used successfully in muscle tear patients to show
differences between tear sites and contralateral healthy muscles (4),
but has not previously been used to show tissue changes due to healing in a
longitudinal study design. The aim of this study was to demonstrate
quantitative changes in STEAM-DTI and T2-measurements in muscle tears over
time. Methods
13 professional athletes were included in this NREC ethically approved
longitudinal pilot study. Participants were imaged on a MAGNETOM Verio 3T MR
system (Siemens Healthcare, Erlangen, Germany) within 2 days of muscle tear in
the thigh or calf. A second scan was performed when the participant was determined
“fit to return to training” by the team physiotherapist (range 12-56 days post
injury). Imaging consisted of a T1-weighted STIR volume positioned using an
anatomical reference point (the insertion point of the rectus femoris into the
tendon). The slice best depicting the muscle tear was identified for quantitative
imaging, which consisted of T2 measurements made using a turbo spin echo (TSE)
sequence and STEAM-DTI. The STEAM prototype sequence, with an echo planar
imaging (EPI) readout, used spectral
attenuated inversion recovery (SPAIR) fat suppression, TR/TE: 6300ms/42.4ms,
slice thickness 5mm, matrix 128x128, nominal b-values of 0 and 500 mm2s-1,
6 diffusion directions, an echo spacing of 0.76ms and a long diffusion mixing
time of 980ms to maximise sensitivity to restricted diffusion. Mean diffusivity
(MD) and fractional anisotropy (FA) parameter maps were generated. The TSE
sequence used TR=1500ms, TE=9.9ms to 153.4ms (16 echoes, equally spaced) and SPAIR
fat suppression.
An experienced
radiologist drew regions of interest (ROIs) within the tear site, haematoma (if
present), oedema, and nearby normal muscle on the visit 1 images. These ROIs were propagated on to the visit 2
images using image registration to correct for movement (figure 1). To correct
for misalignment between visits the visit 2 T1-weighted image was registered to
the corresponding visit 1 image using an intensity-based affine registration with
normalized mutual information as the similarity metric. The image transform
from this step was then applied to the individual visit 2 TSE images and
diffusion maps. Furthermore, to correct for movement between images in the same
visit, a rigid image registration was applied between the T1-weighted image and
the TSE and diffusion maps. To obtain T2 estimates a mono-exponential T2-fit
was applied to mean signal intensities from ROIs at each echo time taken from
the TSE image series. A paired samples t-test was used to test for differences
in quantitative parameters between visits for each ROI using a significance
level of 0.05. Results
The radiologist’s qualitative, visual assessment of registration
performance was good, and no manual corrections were necessary. MD was
significantly reduced at visit 2 in the tear site and oedema but not in
haematoma and normal muscle (figure 2). FA increased significantly in the later scan in all tear ROIs (figure 3) whereas
T2 was decreased in the later scans (figure 4). There were no differences in T2
or diffusion parameters in healthy tissue between visits.Discussion
The reduction in
MD with healing is consistent with reduced fluid content and/or increased
muscle fibre order, as is the observed increase in FA. The reduction in T2 with
healing is also consistent with a reduced fluid content and was the strongest
effect observed, implying that T2 measurements were the most sensitive to change in this
study. There were no significant differences in the normal muscle between
visits as expected. These results show that both DTI and T2 measurements are
sensitive to changes due to tear healing. This is likely to be due to changes
in fluid content or muscle fibre structure as well as changes in the volume of
the tear site. These findings provide evidence that such measures show
potential as quantitative tear severity scores.Conclusion
T2 measurements
and STEAM DTI measurements are sensitive to changes in muscle tear, haematoma
and oedema due to healing.Acknowledgements
This paper presents independent research funded by the
National Institute for Health Research (NIHR) and Health Education England. The
views expressed are those of the authors and not necessarily those of the NHS,
the NIHR or the Department of Health. We
are grateful to Rob Evans and Brian Chaka for carrying out the MR studies.References
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