Chiara Giraudo1, Stanislav Motyka1, Michael Weber2, Manuela Karner1, Christoph Resinger3, Siegfried Trattnig1, and Wolfgang Bogner1
1Department of Biomedical Imaging and Image-guided Therapy-MR Centre of Excellence, Medical University of Vienna, Vienna, Austria, 2Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 3Orthopedic Department, Evangelisches Krankenhaus Wien, Vienna, Austria
Synopsis
STEAM-based DTI was applied to investigate lower limbs’ muscle
tears in athletes using the contralateral muscles as reference.To account for
possible physiological differences in DTI metrics between right and left limb,
a ratio between two ROIs on the injured side (i.e.,one on the tear and one on a
healthy area) and two ROIs on the contralateral limb (i.e.,both on healthy
areas) was used. The ratio showed that structural changes, expressed by
modifications in MD, FA, RD, fibers’ number and length, occur in muscle tears and
are quantifiable by DTI.These findings are expected to improve the therapeutic
management of muscle injuries.
PURPOSE
To investigate acute muscle tears affecting the lower limb
of football players with Stimulated
Echo Diffusion Tensor Imaging (STEAM-DTI).
METHODS
Football players with clinically diagnosed acute muscle tear
of the lower limb were investigated on a 3T TIM Trio MRI Scanner (Siemens Healthcare,
Erlangen, Germany) using an 8-channel knee coil or a combination of 4-channel
matrix array coil/12-channel spine coil.For the morphological assessment, axial,
coronal and sagittal proton density fat-sat and axial T1-weighted TSE sequences
were applied. Both limbs were also investigated using a
prototype ss-EPI STEAM-DTI sequence:
diffusion time 200ms, GRAPPA-2, FatSat, b-values 0 and 500s/mm2, 6
averages, 12 directions; 30 adjacent axial slices of 3.5mm thickness.Since STEAM-DTI
images are affected by random artifacts due to involuntary muscle contraction,
we applied a previously tested correction method based on the weighted mean of
voxels’ signal intensity[1]. Each injury was rated according to the Munich
Consensus classification[2] using morphological images. DSI Studio (http://dsi-studio.labsolver.org) was
used for the DTI analyses. DTI metrics (i.e.,fractional anisotropy (FA), mean-(MD),
radial-(RD) and axial (AD) diffusivity, number, length and volume of fiber
tracks) were collected, after manual segmentation, from the entire injured
muscle and from the healthy contralateral corresponding muscle and then
compared (Student’s t-test). Freehand ROIs were drawn along the borders of each
muscle tear (ROItear) and the same ROI was applied on the
corresponding healthy contralateral muscle (ROIhc_t).Additionally, two
other ROIs were drawn to rule out any physiological difference between right
and left limb:one on a healthy area ipsilateral to the injury (ROIhi)
and one on a corresponding contralateral area (ROIhc_i). To evaluate
possible changes in DTI metrics due to the tear or laterality even in healthy
tissue, all ROIs were compared using one-way ANOVA test Greenhouse-Geisser
post-hoc Bonferroni corrected. Ratios of DTI metrics of the injured side (ROItear/ROIhi)
and of the corresponding contralateral healthy areas (ROIhc_t/ROIhc_i)
were performed and compared (Student’s t-test). RESULTS
Eight patients with acute muscle tear were examined (all
males, age range 20-36 years).Five showed an injury of the thigh and three of
the calf. Seven lesions affected the right side and one the left.According to
the Munich Consensus classification, two tears were rated as minor partial and six
as moderate.
No significant differences occurred comparing the entire injured
muscle with the contralateral (p>0.05, each) except for higher AD values (+3.76%;p=0.048)(Fig.
1).
No differences in DTI metrics occurred among all ROIs placed
in healthy areas (p>0.05, each).
ROItear showed higher MD (+10.32%, +12.31%
respectively) and AD values (+6.60%, +9.08%, respectively)(p<0.05, each)
than ROIhc_t and ROIhc_i but no differences emerged with ROIhi
(all p>0.05). FA was lower in ROItear than in ROIhc_t and ROIhi (-11.49%, -19.81%;p<0.05,
each) but no differences emerged with ROIhc_i (p>0.05). RD was
higher in ROItear than in all other healthy areas (+13.14%, +10.46%,
+14.73%;p<0.05) whereas no differences emerged for fibers’ number, length
and volume (p>0.05).
Greater
differences occurred after normalizing the data.The comparison of the ratios (i.e.,
ROItear/ROIhi and ROIhc_t/ROIhc_i) revealed
higher MD and RD (+6.02% and +8.69%) and lower FA (-19.51%) as well as a reduced
number and length of fibers on the injured side (-55.65% and -39.47%) (p<0.05,
each).No significant changes emerged for AD and fibers’ volume (p>0.05,each)(Fig.
2).DISCUSSION
Acute muscle injuries are very common in elite and
non-elite athletes[3,4] but the prevalent MRI-based classification is still
based on a rough quantification of the amount of torn fibers[5]. DTI already
demonstrated to be highly suitable for the anatomical assessment of muscles but
only a few studies investigated muscle tears. Indeed, Zaraiskaya et al.[6] showed
lower FA and higher MD but only in two patients with acute lesions of the
gastrocnemius whereas Froeling et al.[7] successfully evaluated muscle changes in
marathon runners. For the first time, we used STEAM-based DTI to investigate
muscle tears in athletes using the contralateral healthy side as reference and applying
a normalization of the data.Indeed, physiological differences between right and
left muscles may occur and affect DTI metrics but the application of a ratio provided
robust results demonstrating that structural changes, affecting not only MD, FA
and RD but also fibers’ number and length, occur in the tears and are
quantifiable using DTI. CONCLUSIONS
STEAM-based DTI allowed a robust characterization and quantification
of the injured fibers in athletes especially when a ratio between the injured
and the contralateral muscles was applied. Aiming to improve the current
imaging-based classification of muscle tears as well as to increase the
accuracy of the therapeutic and prognostic management of injured athletes, future
studies including a larger population and evaluating muscle tears also during
the follow-up, are necessary.Acknowledgements
No acknowledgement found.References
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