Russell Glenn1, Leonardo Bonilha1, Barbara Kreilkamp2, Mark P Richardson3, Bernd Weber4, and Simon S Keller2
1Medical University of South Carolina, Charleston, SC, United States, 2University of Liverpool, Liverpool, United Kingdom, 3King's College London, London, United Kingdom, 4University Hospital Bonn, Bonn, Germany
Synopsis
Imaging
markers of postoperative seizure control in refractory temporal lobe epilepsy
(TLE) would provide a useful clinical tool for surgical decision making. In the
present diffusion tensor imaging study, we report that regional tissue
characteristics of the fornix ipsilateral to the side of intended resection are
related to postoperative seizure control in patients with TLE. Interestingly,
areas found to be abnormal only in patients with a suboptimal outcome were
located outside the margins of resection. The identification of fornical
abnormalities outside the area of intended resection may be an important
prognostic marker of suboptimal seizure control after temporal lobe surgery. Background and Purpose
The
reasons for persistent postoperative seizures (PS) in patients with refractory
temporal lobe epilepsy (TLE) due to hippocampal sclerosis (HS) remain unknown. Despite
few applications, preoperative diffusion tensor imaging (DTI) may provide new
insights into the causes of postoperative seizures after temporal lobe surgery.
The vast majority of tractography approaches in epilepsy have quantified mean
scalar metrics of whole white matter tracts, which can be insensitive to
regional tract pathologic alterations. In the present study, we reconstructed
the fornix from DTI data and quantified regional tissue properties along the
fornical pathway to investigate whether preoperative fornical tract profiles
were related to postoperative seizure outcome in patients with refractory TLE. Non-invasive
neuroimaging prognostic markers that stratify patients according to likely
postoperative outcome would be extremely helpful for clinical decision making
and preoperative counselling.
Methods
We
recruited 42 patients with TLE due to HS and 44 healthy age- and sex-matched controls
into this study. All patients underwent comprehensive preoperative evaluation,
preoperative MRI including 60-direction DTI, amygdalaohippocampectomy, and
postoperative seizure outcome assessment, as described recently.
1
Controls received the same imaging protocol. We reconstructed the left and
right fornix and generated fornical tract profiles from the DTI data for each
participant using an extension of automated fibre quantification (AFQ) methods.
2 Each
tract profile was reconstructed for mean diffusivity (MD) and fractional
anisotropy (FA) along 100 nodes between two reference regions of interest
(ROIs) which were defined based on anatomical landmarks on a T1 template image.
Group-wise comparisons were made between controls and patients with an
excellent (ILAE 1) or suboptimal (ILAE 2+) postoperative seizure outcome using
the standardised International League Against Epilepsy (ILAE) outcome
classification.
3 Tract
profiles for each patient were separated into ipsilateral and contralateral
side based on the side of seizure onset determined during presurgical
evaluation. For statistical analyses, every 20 consecutive nodes were averaged
to generate 5 distinct fornical ROIs and statistical tests were performed between
each group using a two-sample t-test at a significance level of α = 0.05. Multiple comparisons were corrected for using
false discovery rate (FDR) thresholding with n = 30 total comparisons. Node-wise
t-scores were also reconstructed along the length of the tract to demonstrate
regional group-wise differences, anatomically. The basic fornix identification
and segmentation scheme is illustrated in Figure 1. Tract profiles and ROIs
begin with the lowest node or ROI number at the top of the thalamus and
continue along fornix into the medial temporal lobe with the most anterior
portion of the segmented tracts corresponding to the highest node or ROI
number.
Results
22 (52%)
patients were found to have an excellent postoperative seizure outcome and 20 (48%)
had a suboptimal outcome. There were no significant differences in the FA tract
profiles, but significant differences were detected in in the MD tract profiles
for both patient groups in the ipsilateral temporal lobe. Significant
differences were detected in patients with suboptimal surgical outcomes outside
of the ipsilateral temporal lobe up to ROI 2 with a trend towards significant
differences in ROI 1, but not in patients with excellent response. Contralateral
fornices demonstrated more normal tract profiles although a significant
difference was detected in ROI 3 in the patients with excellent outcomes. MD tract
profiles are illustrated in Figure 2.
Discussion and Conclusion
We
observed that patients with a suboptimal postoperative outcome deviated from
healthy controls and patients with an excellent outcome in tissue properties of
the ipsilateral fornix extending outside of the temporal lobe. This abnormal
tissue is located outside the margins of resection of conventional temporal
lobe surgery, and may contribute to support a postoperative epileptogenic
network. This extends recent findings indicating that thalamohippocampal
pathways – that are largely mediated by the fornix – are preferentially
abnormal in patients with persistent postoperative seizures.
1 Abnormal
tissue characteristics of the ipsilateral fornix outside the margins of
resection may be a candidate imaging prognostic marker of continuing
postoperative seizures in refractory TLE.
Acknowledgements
This
work was funded by a UK Medical Research Council grant awarded to SSK
(MR/K023152/1).References
1. Keller SS, Richardson MP, Schoene-Bake JC, et al.
Thalamotemporal alteration and postoperative seizures in temporal lobe
epilepsy. Ann Neurol. 2015 May;77(5):760-74.
2. Yeatman JD, Dougherty RF, Myall NJ, Wandell BA, Feldman
HM. Tract profiles of white matter properties: automating fiber-tract
quantification. PLoS One. 2012;7(11):e49790.
3. Wieser HG, Blume WT, Fish D, et al. ILAE Commission
Report. Proposal for a new classification of outcome with respect to epileptic
seizures following epilepsy surgery. Epilepsia. 2001 Feb;42(2):282-6.