Baptiste MOREL1,2, Anne Sophie Piegay1, Maximilien Perivier1, Sandra Obry1, Bénédicte Maréchal3,4,5, Gian Franco Piredda3,4,5, Tom Hilbert3,4,5, Tobias Kober3,4,5, Clovis Tauber6, Pierre Castelnau6, and Jean Philippe Cottier1
1CHU de Tours, Tours, France, 2UMR 1253, iBrain, Université de Tours, INSERM, Tours, France, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 6INSERM U1253, Tours, France
Synopsis
In the initial exploration of children
with focal epilepsy of unknown cause, MRI is useful. To increase the
sensitivity of the MRI, we have defined a postprocessing
Morphometric Analysis Program allowed obtaining automatically both volumetry
and T1 relaxometry values in 38 brain regions. Deviations from reference ranges –
previously established from a cohort of healthy subjects – help radiologists to
quantify brain abnormalities undetected in brain MRI in more than 80% of our cases.
Purpose
Children with focal epilepsy are a very heterogeneous group where
MR-based detection of subtle brain lesions remains challenging. In the absence
of visible lesions and clinical-biological arguments for a genetic, metabolic,
immune or infectious cause, these epilepsies can be divided into two groups:
self-limited focal epilepsies (formerly called idiopathic or functional); and
epilepsies of unknown cause. The prevalence of patients with non-lesional epilepsy
defined by MRI is significantly higher in children (31%) than in adults (21%) (1). Our
hypothesis was that a Morphometric analysis program (MAP) will improve the
sensitivity of brain MRI in children with newly diagnosed focal epilepsy. Objectives
of this study were to compare quantitative brain values to a normal cohort and investigate
correlation with their electro-clinical presentations.Materials
A prospective monocentric study was conducted recruiting 13
consecutive children under sixteen years from a single University Hospital
between January 2017 and June 2020 with suspected focal epilepsy. We
prospectively included children with suspected focal epilepsy having a 1.5T brain
MRI (MAGNETOM Aera, Siemens Healthcare, Erlangen, Germany) using a 20-channel
head coil without general anesthesia. Whole-brain simultaneous T1-weighted
imaging and T1 mapping was achieved with the MP2RAGE sequence using acquisition
parameters tailored to pediatric applications (spatial resolution =
1.33x1.33x1.25 mm3, FOV = 256x240 mm2, TI1/TI2
= 600/2000 ms, flip angles = 5-6°, TR = 5000 ms, TA = 6:36 min). Automated
brain segmentation was performed using the MorphoBox prototype (2) with
a previously reported adaptation to pediatric application of its templates (3). The
segmentation of 38 anatomical brain structures was obtained according to the
standard anatomical nomenclature (4). A
postprocessing MAP allowed obtaining automatically both volumetry and T1
relaxometry values in 38 brain regions. Deviation from reference ranges –
previously established from a cohort of healthy subjects (3) – of
resulting regional volumes and T1 values were assessed by z-score.
Electroclinical data were collected. Medical records were reviewed for seizure
history, EEG, initial review of morphological MRI findings based on usual
clinical care. To avoid ambiguity in comparing MAP localizations to information
from clinical radiology, scalp EEG, we aggregated results by lobe and performed
concordance analysis with these modalities on a lobar level.
Approval was received by the local Ethics Committee in Human
research (RNI-2017-093). All the children’s parents gave informed consent.Results
Eleven children were included (7 girls and 4 boys). The mean age was
6.8 years +/- 3.8 years [2.5 -12.9]. Clinically, 10 children had focal
seizures, 1 with bilateral seizures. Two patients had Self Limited Epilepsy
with Centro Temporal Spikes (SLSLECTS). The average time from the epilepsy onset
to the MRI exam was 1.64 years (3 days – 4.5 years). Automated brain analysis
revealed abnormalities (i.e., z-score < -2 or > 2) in 9/11 SLECTS (81%) for
whom brain MRI scans were morphologically normal. The child with normal T1
relaxometry and brain volumes values was the one with any epileptic abnormality
in the electroencephalogram. Eight patients (72.7%) had volume abnormalities
(six had focused involvement and two a diffuse increased grey and white matter
volumes). Six patients (54%) showed abnormal T1 relaxometry values (two had
focal cortical grey matter involvements, three had diffuse white matter and grey
matter involvements and one had diffuse white matter with basal ganglia involvement.
A possible epileptogenic zone was identified in 4/11 patients (36%).Discussion
The results of our study on children with focal epilepsy and
morphologically normal brain MRI corroborate our hypothesis that a brain morphometric
analysis program (MAP) would reveal undetected subtle epileptogenic
abnormalities. Children had frequentlu abnormal quantitative volumetric or T1
relaxometry data. Diffuse or more localized T1 volume or relaxometry
abnormalities have been observed in patients with SLSLECTS, which by definition
are non-lesional epilepsies (5). This
is consistent with the structural brain disorganization in SLECTS patients
already described (6). The presence of volumetric and T1 relaxometry
abnormalities in some of our patients, despite stereotyped focal seizures
recorded in video-EEG, suggests a pathological neurodevelopmental process
associating abnormal brain maturation and focal epilepsy. Access to an
optimized, precise and reproducible imaging technique such as a 3D MP2RAGE
sequence with MAP for the etiological assessment of focal epilepsies would
allow improving the recommendation of our patients to pediatric centers
specialized for epilepsy surgeryConclusion
A combined
analysis of brain volumetry and T1 relaxometry of children with focal epilepsy could
describe brain abnormalities undetected in conventional brain MRI in more than 80%
of our cases. This automated post-processing method could have a significant
impact on clinical care, while helping to select more
efficiently patients requiring a pre-surgical second line assessment, with a
more precise brain region to explore.Acknowledgements
The authors thank the pediatric
patients and their parents who agreed to contribute to the study. The authors
acknowledge Mrs M. Samalbide and Mr G. Binninger for their invaluable support.
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