Yajun Ma1, Heinz R Hoenecke2, Douglas G Chang3, Jiang Du1, and Eric Y Chang1,4
1University of California, San Diego, San Diego, CA, United States, 2Orthopedic Surgery, Scripps Clinic, San Diego, California, USA, 3Orthopedic Surgery, University of California, San Diego, United States, 4Radiology Service, VA San Diego Healthcare System, San Diego, United States
Synopsis
Myotendinous
injuries are very common in sports, most often affecting the lower extremities.
Both clinical examination and MRI have been widely used for the diagnosis and
prognosis of acute myotendinous injuries. However, current paradigms remain
insufficient as re-injury rates are as high as 34%. For elite athletes, the
balance between rehabilitation time and risk of re-injury after return to play
can be extremely challenging. Using conventional MRI techniques, clinical
interpretation focuses on the evaluation of edema, fluid, and hemorrhage rather
than the assessment of the injured/healing components of the myotendinous
junction. Furthermore, immature and mature fibrous scar tissue as well as
native tendon have very short T2 values and are “invisible” with clinical MRI,
thus precluding their distinction and assessment. A technique to quantitatively
characterize macromolecules in injured/healing myotendinous junctions could be
particularly useful in recovering athletes.
Introduction
Myotendinous
injuries are very common in sports, most often affecting the lower extremities.
Both clinical examination and MRI have been widely used for the diagnosis and
prognosis of acute myotendinous injuries. However, current paradigms remain
insufficient as re-injury rates are as high as 34%. For elite athletes, the
balance between rehabilitation time and risk of re-injury after return to play
can be extremely challenging. Using conventional MRI techniques, clinical
interpretation focuses on the evaluation of edema, fluid, and hemorrhage rather
than the assessment of the injured/healing components of the myotendinous
junction. Furthermore, immature and mature fibrous scar tissue as well as
native tendon have very short T2 values and are “invisible” with clinical MRI,
thus precluding their distinction and assessment. A technique to quantitatively
characterize macromolecules in injured/healing myotendinous junctions could be
particularly useful in recovering athletes.Purpose
To utilize the 3D ultrashort echo time magnetization
transfer (UTE-MT) technique with two-pool quantitative MT modeling to assess
the healing myotendinous junction in elite athletes.Methods
Subjects: Three athletes (2 professional baseball
players and an elite soccer player, mean 30 years of age) were imaged after
myotendinous junction injuries. Injuries ranged from grades 2-3 and occurred
from a range of 2 weeks to 2 years prior to imaging. Protocol: Imaging
was performed on a 3T clinical scanner (Signa HDx, GE Healthcare, Milwaukee, WI)
using an 8-channel receive-only torso coil. Both lower extremities were imaged,
including ipsilateral injured sides and contralateral uninjured sides for
comparison as internal controls. In addition to conventional clinical
sequences, 3D UTE-MT imaging was performed. The MT preparation consisted of a
Fermi shaped RF pulse and two MT powers (300° and 700°) and five MT frequency
offsets (2, 5, 10, 20 and 50 kHz) were used. A 3D UTE-Cones sequence1 was
used for acquisition with the following parameters: TR=100ms, TE=32μs, FA=7°,
FOV=30-33cm, matrix=256×256, slice thickness=5mm, 26 slices. In total 10
different 3D MT datasets were acquired at 2.5 min per dataset. Image
Processing and Analysis: Analysis was performed using MATLAB (Mathworks,
Natick, MA). Two‐pool UTE‐MT modeling was performed on the datasets using a new
rectangular pulse (RP) approximation model with multiple spokes (Nsp) acquired
per MT preparation 2, which outperforms the widely used continues
wave power equivalent (CWPE) model 3. UTE-MT modeling parameters
were generated including macromolecular and water pool fractions, T2 value of
the macromolecular pool, and exchange rates from macromolecular to water
protons. Results
Figure 1 demonstrates images from a professional
baseball player with a grade 2 hamstring injury 2 weeks prior. The
macromolecular fraction of the injured left biceps femoris muscle measured
5.3%, which was 61% of the value compared to the uninjured side (measuring
8.7%). The patient was able to return to play three weeks after the MRI.
Figure 2 demonstrates images from another
professional baseball player with a grade 3 quadriceps injury 4 months prior.
The macromolecular fraction of the injured left rectus femoris muscle measured
4.7%, which was 75% of the value compared to the uninjured side (measuring
6.3%). The patient was able to return to play one week after the MRI.
Figure 3 demonstrates images from an elite
soccer player with a grade 3 quadriceps injury 2 years prior. The
macromolecular fraction of the healed tendon was 9.2%, which was 55% of the
value compared to the uninjured side (measuring 16.5%). This lower value is
consistent with what is well known in the literature regarding tendon healing,
which is dominated by scar tissue formation with inferior biomechanical
properties.Discussion
The UTE-MT technique can be used to assess
all of the tissues at the injured/healing myotendinous junction, including muscle,
tendon, and fibrous scar. Consistent with previous studies evaluating MT
parameters acquired using longer TEs4, range of UTE-MT parameters
such as macromolecular fraction depends on particular tissue type and location.
Since most MT parameters are magic-angle insensitive2, these
variations may represent differences in regional composition and structure.
Despite regional variations in macromolecular
fraction, simultaneous imaging of the unaffected, contralateral limb at the
same cross-sectional location provides an internal control which can be used
for comparison. For healing tissues, our results suggest that macromolecular
fraction may not return to baseline values of the contralateral side, even
after two years and return to full activity. This is consistent with histological
studies which have shown that the majority of tendon and some of muscle healing
is characterized by fibrovascular scarring 5,6. The UTE-MT technique
may be able to characterize these changes and future studies will be performed
to determine the usefulness of these measures in aiding return to play
decisions.
Acknowledgements
The authors acknowledge grant support from NIH
(1R01 AR062581-01A1, 1 R01 AR068987-01) and VA Clinical Science
R&D Service (Merit Award I01CX001388).References
[1] Chen J, Chang EY, Carl M, Ma Y, Shao H,
Chen B, Wu Z, Du J. Measurement of bound and pore water T1 relaxation times in
cortical bone using three-dimensional ultrashort echo time cones sequences.
Magn Reson Med. 2016.
[2] Ma YJ, Shao H, Du J, Chang EY. Ultrashort
echo time magnetization transfer (UTE-MT) imaging and modeling: magic angle
independent biomarkers of tissue properties. NMR Biomed. 2016
Nov;29(11):1546-1552.
[3]
Ramani A, Dalton C, Miller DH, Tofts PS, Barker GJ. Precise estimate of
fundamental in-vivo MT parameters in human brain in clinically feasible times.
Magn Reson Imaging. 2002;20(10):721–731.
[4] Stanisz GJ, Odrobina EE, Pun J,
Escaravage M, Graham SJ, Bronskill MJ, Henkelman RM. T1, T2 relaxation and
magnetization transfer in tissue at 3T. Magn Reson Med. 2005 Sep;54(3):507-12.
[5] Yang
G, Rothrauff BB, Tuan RS. Tendon and ligament regeneration and repair: clinical
relevance and developmental paradigm. Birth Defects Res C Embryo Today.
2013;99(3):203-22.
[6] Gharaibeh B, Chun-Lansinger Y, Hagen T,
Ingham SJ, Wright V, Fu F, Huard J. Biological approaches to improve skeletal
muscle healing after injury and disease. Birth Defects Res C Embryo Today.
2012;96(1):82-94.