Tina Jeon1, Emil Stefan Vutescu2, Eric Aronowitz3, Henning U Voss3, Jonathan P Dyke3, and Darryl B Sneag1
1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 23Department of Hand and Upper Extremity Service, Hospital for Special Surgery, New York, NY, United States, 3Citigroup Biomedical Imaging Center, Weill Cornell Medical College, New York, NY
Synopsis
High-resolution DTI
is a promising tool to evaluate peripheral nerve regeneration following
surgical repair of nerve injury. The spatial resolution achieved with 7.0 T allowed
us to more confidently interrogate the nerve for measuring fractional
anisotropy (FA) and diffusivity and to perform fiber tracking as compared to
3.0 T. Among DTI metrics, FA correlated the greatest with axonal density and
diameter. These findings support that DTI has the potential to measure axonal
regeneration in the peripheral nerves at preclinical and clinical field
strengths.
Purpose
Ex-vivo high
resolution diffusion tensor imaging (DTI) of the rabbit sciatic nerve at 7.0T is
able to capture complex fiber configurations such as sharp curves and
convergence/divergence of tracts. Given the small diameter of the rabbit sciatic
nerve (2-3 mm), sub-millimeter resolution is necessary to properly evaluate
axonal integrity, without bias, to avoid partial volume averaging of complex
fiber architecture and to improve accuracy of DTI-based fiber tracking.1
We investigated sciatic nerve regeneration following transection repaired with
autograft with ex-vivo DTI correlated with histology.Methods
Surgical procedure: Under anesthesia, a 10 mm transection gap was
created in the sciatic nerve of the proximal thigh of 24 adult male New Zealand white rabbits and the gap was bridged with either autograft or a
synthetic conduit. In-vivo analysis was performed of all rabbits on 3.0T but
for this ex-vivo study, 12 rabbit limbs were
harvested and scanned (9 from non-operated (control) limbs and 3 autograft). Specimen Preparation: The excised
sciatic nerve was fixed in phosphate buffer solution 24 hours before imaging.
The nerve was then embedded in surgical gauze and placed in a MR-compatible
plastic tube filled with Fomblin Grade 06/6. Data acquisition 7.0T: DTI was performed on a 7.0T Bruker
BioSpin MRI with a 1 channel microimaging coil. 3D diffusion-weighted
multi-shot spin echo EPI; TR/TE: 2000/30ms; spatial resolution: 0.15625 mm
isotropic; b-values=0,2000 s/mm2; 1 acquisition; 60 gradient
directions; imaging time=10hrs24 min; bandwidth=1171.875 MHz. Data acquisition 3.0T: DTI was performed
on a 3.0T Siemens Healthcare Prisma with combined 8-ch flexible array coil
placed anteriorly on a 32-channel spine coil placed anteriorly with the rabbit
prone. DTI was acquired using a single-shot EPI with SENSE (SENSitivity
Encoding reduction factor=2) parallel imaging scheme. FOV=130x75mm[DBS1] ; matrix=76x44mm, ST=1.7mm,
TE/TR=47/3400ms, Acquisitions=10; 20 gradient directions, b-values=0,700 sec/mm2,
total imaging time=11:42 mins. Sciatic
nerve segmentation and white matter tracking: Tractography was performed
with Trackvis (trackvis.org) using deterministic fiber tracking, turning angle
< 30, FA threshold=0.10, and the tract then served as a mask for
segmentation. DTI measurements:
Tensor fitting was conducted with Diffusion Toolkit to obtain the DTI
contrasts. Histopathological analysis:
A 5 mm segment of the sciatic nerve was harvested from the operated and
non-operated limbs distal to and at the surgical site. Samples were analyzed
for axonal density and myelin fiber diameter. Correlation of in-vivo and ex-vivo DTI metrics with histology:
Paired t-test was conducted between the DTI metrics for the in-vivo and ex-vivo
study at 13 weeks post-op and between the non-operated and the operated
nerve. Pearson correlation between the ex-vivo study and axon diameters
and axonal density was performed with Bonferroni correction for multiple
comparisons (alpha<0.05).Results
FA change on the operated limb: As shown in Fig.1, there was a significant FA
decrease in the autograft 13 weeks postop compared to the operated limb
(p<0.0004). Comparison between
in-vivo and ex-vivo: There was a significant FA decrease with in-vivo
studies compared to ex-vivo 7.0T (Fig.2a) and corresponding increases in the
DTI contrasts, Fig.2b-d. Tractography:
Fiber tracking can reveal fine details of the non-surgical and surgical limb
(Fig.3), including a discontinuity in the nerve at the surgical site and consequently significantly reduced axonal
diameters and axonal density distal to the surgical site. Correlation with histology: Figure 4 shows a tight
correlation between FA and axonal diameter when the non-operated and operated
nerves are combined (p<0.0024). Additionally, there is a significant
correlation between FA and axonal density (p<0.016).Discussion and conclusion
This study’s results
suggest that DTI is a sensitive measure of nerve microstructure in a rabbit
sciatic nerve transection model and can provide DTI parameters that are in
agreement with in-vivo studies and histology (Figs.1,2,4). FA is sensitive to
cellular processes such as apoptosis, edema, axonal packing, demyelination and
an increase in cellularity at the surgical site which changes
grossly with nerve regeneration, resulting in lower FA values on the operated
limb3,4. Lower FA and higher mean diffusivity values at 3.0T (Fig.2)
compared to 7.0T could be due to partial volume effects near the borders of nerve/adjacent
tissue. Furthermore, FA has been found to decrease with increasing
signal-to-noise ratio (SNR), whereas MD decreases with increasing SNR5.
Reliable fiber tracking with in-vivo 3.0T MRI was not possible due to
inadequate spatial resolution; however, we were able to visualize them with
ex-vivo 7.0T (Fig.3). Fiber tracking allows the opportunity to potentially elucidate
the longitudinal extent of axonal regeneration thatcannot reliably be measured
with electrophysiological testing. Given the recent interest in peripheral
nerve imaging with DTI, we anticipate the further exploration of in-vivo and
ex-vivo studies to assess microstructural changes to evaluate nerve
regeneration.Acknowledgements
This study is sponsored
by Radiology and Imaging Center at the Hospital for Special Surgery. We would
like to thank Toyobo Co. Ltd. for funding the in-vivo study and the
MRI technologist Eric Aronowitz.References
[1]
Lehmann et al (2010) Exp Neurol 223: 238. [2] Boyer et al (2015) Neurosurgical
Focus 39: E9. [3] Pierpaoli and Basser (1996) MRM 36:893. [4] Basser et al (1994) Biophys J 66: 259. [5] Landman et al (2008) MRI 29: 739.