Tianyi Qian1, Yi Shan2, Peipei Wang2, Bénédicte Maréchal3,4,5, Jie Lu2, and Kuncheng Li2
1MR Collaborations NE Asia, Siemens Healthcare, Beijing, China, People's Republic of, 2Radiology, Xuanwu Hospital, Capital Medical University, beijing, China, People's Republic of, 3Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare, Lausanne, Switzerland, 4Radiology, University Hospital (CHUV), Lausanne, Switzerland, 5LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Synopsis
Quantitative
measurement of hippocampal volume using high-resolution MRI provides morphological
and clinically relevant information in medial temporal lobe epilepsy with hippocampal
sclerosis. In this study we applied an inline morphometry package in temporal-lobe
HS epilepsy patients to investigate the degenerative patterns of this patient
group. The volume computed by the inline segmentation tool could provide
accurate information about the brain volume changes of temporal-lobe HS
epilepsy patients. The tool also provided whole-brain structure volumetric
information which was valuable for surgical or treatment planning.PURPOSE
Neuronal
loss and gliosis of the hippocampus are the histopathological hallmarks of
hippocampal sclerosis (HS), the most common cause of intractable medial
temporal-lobe epilepsy. Typical MRI features of HS include reduced hippocampal
volume and increased T2 signal intensity. Quantitative measurement of
hippocampal volume using high-resolution MRI provides histologic and clinical
information in medial temporal-lobe epilepsy with HS. Stand-alone offline
segmentation software packages such as Freesurfer and SPM are not able to
produce structured reports immediately after the scanning, requiring intensive
post-processing effort. In this study, we applied an inline
morphometry package in temporal-lobe HS epilepsy patients to investigate the
degenerative patterns of this patient group.
METHODS
19
subjects with temporal-lobe HS epilepsy (EP) and 19 age- and gender-matched
healthy control (NC) subjects were enrolled in this study. The epilepsy focus was
confirmed by intracranial EEG, and the HS was confirmed by post-surgical pathology.
Each patient was scanned on a 3T scanner (MAGNETOM Trio Tim, Siemens
Healthcare, Erlangen, Germany) using a 3D MPRAGE sequence (TR=2300ms;
TE=3.01ms; TI=900ms; flip angle=9°; matrix size=256x256x176; voxel size=1×1×1mm3).
Prior to this acquisition, a routine MRI exam was performed to screen for
obvious abnormalities, e.g., patchy cerebral infarcts or occupying lesions. All
MPRAGE scans were then processed using a prototype volume-based morphometry
package 1. Volume values for a total of 25 regions were calculated
and normalized by the total intracranial volume (TIV), namely: global grey
matter, white matter and CSF, thalamus, putamen, caudate, pallidum, deep white
matter, hippocampus, ventricles, cingulate gyrus, insula, cerebellum,
mesencephalon, pons, medulla oblongata, corpus callosum, grey and white matter
in frontal/parietal/occipital/temporal lobe (Fig.1). The prototype package automatically
compares each of these volumes to an age-matched reference distribution
calibrated on a large-scale Caucasian database and flagged as abnormal. in
order to have all lesions located if the left hippocampus, we flipped the
volume value from right to left and then did the group analysis of each
sub-structure segmented by morphometry package. An FDG-PET exam was also
performed on each patient. The clinical evaluation of the PET data was
performed by two experienced radiologists.
RESULTS
Figure 1
shows the volume (in percentage, normalized by whole-brain volume) of the areas
showing group differences between NC and EP. The whole EP group showed brain
structure degeneration, and the CSF volume was significantly larger than that
in normal control, although the value was still in normal range when compared to
the large population database. The bilateral temporal lobes all showed
significant decrease of volume in EP group (14/19 in the lesion side and 12/19
in the contralateral side) and the brain structure in the lesion side shows
more abnormal value than the health hemisphere. The white matter in frontal
lobe, mesancephalon and the deep white matter of the lesion side hemisphere
also showed degeneration. The volume of deep white matter in the healthy hemisphere
increased significantly (P<0.01). Compared to PET results, most of the areas
showing decreased volume also had decreased metabolism on PET.
DISCUSSION
The
white matter in the frontal lobe links the frontal lobe to the temporal lobe,
which is a main component of the default mode network. A volume decrease might
be associated to HS and may reflect restricted connectivity between the frontal
and the temporal lobe. The increase of deep white matter volume in the
contralateral hemisphere is a sign of brain plasticity could potentially be useful
to predict the outcome and rehabilitation of some functions after surgery.
CONCLUSION
The
volume measured by the inline segmentation tool could provide accurate
information about the brain volume changes of temporal-lobe HS epilepsy
patients. It also could provide a whole-brain structure overview and provide
evidence for physicians to make the surgery or treatment plan.
Acknowledgements
No acknowledgement found.References
1. Schmitter D,
Roche A, Maréchal B, et al. An evaluation of volume-based morphometry for
prediction of mild cognitive impairment and Alzheimer's disease. J. NeuroImage:
Clinical, 2015, 7: 7-17.