Michael Pridmore1, Wesley P. Thayer2, Mark Does3, and Richard Dortch4
1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States
Synopsis
Current clinical
management following traumatic peripheral nerve injuries (TPNI) and repair
require physicians to rely on qualitative measures from patient
history/physical exam that can cause delay in patient care. Such delays can a
negative impact on outcomes because the healing of nerves must occur in a
timely fashion to avoid permanent loss of sensory and/or motor function. The
current study aims to test the feasibility of performing DTI measurements in
TPNI patients to better improve clinical outcomes.
Purpose
Presently, clinical management following traumatic peripheral nerve
injuries (TPNI) and repair requires physicians to “wait and watch” for months
to years and rely on qualitative measures from patient history/physical exam.
These delays have a negative impact on outcomes because re-innervation must
occur in a timely fashion to prevent permanent loss of sensorimotor function.
Previous work has shown that DTI of the distal nerves of the wrist is feasible
and reports on myelin and axon pathologies [1-4]. The long-term aim of this
project is to employ DTI in the median and/or ulnar nerves of patients
following TPNIs as a quantitative, early measure of nerve regeneration. The
current study aims to i) test the sensitivity of performing DTI in a
cross-section of TPNI patients and ii) acquire preliminary longitudinal data to
determine the ability of DTI to monitor recovery. Methods
Subjects: Three TPNI
patients with various injuries had their injured arm scanned approximately
three months after surgical repair (see Table 1). Each subject’s uninjured arm was
scanned during the same session and served as an internal control. One
subject (Patient 3) returned for a follow-up scan 3 months after the surgery. Data
acquisition: Subjects were imaged with a 3.0-T Philips Achieva MR scanner. An
8-channel wrist coil was used for RF reception in all subjects expect one,
where a larger 16-channel knee coil was used due to a cast covering the arm. High-resolution,
single-shot DTI scan was performed at a slice thicknesses of 4-mm with 10
slices in each subject. Additional parameters included: resolution =
0.75x0.75x4 mm3 (wrist coil acquisitions) or 1.25x1.25x8 mm3
(knee coil acquisitions), TR/TE = 3000/53 ms, averages = 12, 16 diffusion
directions, max b-factor of 800 s/mm2, and scan time ≈ 11 minutes.
Data analysis: Image registration/tensor estimation was performed using
FSL/CAMINO [5]. Regions
of interest (ROIs) were manually selected on all slices for the median and
ulnar nerves, and mean slice-wise fractional anisotropy (FA) values were
estimated. In addition, the ∆FA between the injured and uninjured nerve was
estimated in proximal and distal to the injury site (Table 2). Finally, fibertracking
results were accomplished via CAMINO using seed-points in the most proximal/medial/distal
slice, way-points halfway between each seed-point, and a curve/FA threshold of
20˚/0.2. Given
the small sample size and heterogeneity of injury types, we treat each patient
as an individual case study in the following analysis.Results
In patient 1, reductions
in FA (mean±SD) were found in the injured left-arm median nerve (0.33±0.18)
when compared to the median (0.61±0.10) nerve in the right uninjured arm. In
patient 2, similar reductions in FA were found in the injured left-arm ulnar
nerve (0.30±0.08), while the ulnar nerve in the right uninjured arm was higher (0.42±0.11).
In patient 3, reductions in FA were found in both median (0.30±0.05) and ulnar
(0.32±0.08) nerves in the injured right arm when compared to the uninjured nerves
(median/ulnar:0.54±0.10/0.49±0.12). Patient 3 returned 3-months later for a
follow-up scan with similar results for the right injured median (0.33±0.06)
and ulnar nerves (0.30±0.09) and the uninjured nerves (median/ulnar:0.64±0.11/.52±0.13).
Across all our patients, we found reduced FAs in the injured nerve compared to
other nerve in the same injured arm, as well from the uninjured nerves in the
other arm. Figure 1 illustrates the FA values we obtained in a representative
sample, with injured and noninjured arms compared in proximal and distal slices
of the wrist. It should be noted, however, that edema from injury can reduce FA at the
injury site. Additional existing challenges in this protocol were i) choosing a
suitable coil that minimized discomfort and fit around large casts and ii)
positioning of our participants during scanning (currently prone with arm above
head), which had an impact on scan time. Preliminary fibertracking results
comparing an injured median nerve to the uninjured median nerve in the same
patient can be shown on Figure 2. Note the continuous fiber tracts in the
uninjured median nerve, and the termination of the fiber tracts in the injured
median nerve at the site of injury.Discussion and Conclusions
DTI in the distal nerves of the wrist is feasible and sensitive to TPNI.
Further work will focus on i) obtaining data in a larger cohort of patients and
matched controls; ii) refining the scan protocol, specifically with coil
selection and subject position on the table; and iii) tracking patients over
the period of one year to determine the ability of DTI to track change over
time. Methods that model edema will also be investigated along with fiber
tracking methods to visualize nerve regeneration over time. Acknowledgements
R01 NS097821, MR 150075, W81-XWH-15-JPC-8/CDRMP-NMSIRA, and T32
EB014841-05 for funding References
[1] Guggenberger, et al.
Radiol 265:194-203 (2012). [2] Heckel, et al. PLoS ONE 10(6):e0130833
(2015). [3] Stein, et al. J Magn Reson Imag 29:657-662 (2009). [4] Zhou,
et al. J Magn Reson Imag 36(4):920– 927 (2012). [5] Soares, et al. Front
Neurosci. 7:31(2013).