| Autor: |
Yang JY; Departments of 1 Neurosurgery.; Department of Paediatrics and., Beare R; Developmental Imaging Group and.; Department of Medicine, Monash University, Melbourne, Victoria, Australia., Seal ML; Developmental Imaging Group and.; Department of Paediatrics and., Harvey AS; Neurology, and.; Neuroscience Research Group., Anderson VA; Psychology, Royal Children's Hospital.; Clinical Sciences Theme, Murdoch Childrens Research Institute.; Department of Paediatrics and.; School of Psychological Sciences, University of Melbourne; and., Maixner WJ; Departments of 1 Neurosurgery.; Neuroscience Research Group. |
| Jazyk: |
angličtina |
| Zdroj: |
Journal of neurosurgery. Pediatrics [J Neurosurg Pediatr] 2017 May; Vol. 19 (5), pp. 592-605. Date of Electronic Publication: 2017 Mar 17. |
| DOI: |
10.3171/2016.11.PEDS16312 |
| Abstrakt: |
OBJECTIVE Characterization of intraoperative white matter tract (WMT) shift has the potential to compensate for neuronavigation inaccuracies using preoperative brain imaging. This study aimed to quantify and characterize intraoperative WMT shift from the global hemispheric to the regional tract-based scale and to investigate the impact of intraoperative factors (IOFs). METHODS High angular resolution diffusion imaging (HARDI) diffusion-weighted data were acquired over 5 consecutive perioperative time points (MR 1 to MR 5 ) in 16 epilepsy patients (8 male; mean age 9.8 years, range 3.8-15.8 years) using diagnostic and intraoperative 3-T MRI scanners. MR 1 was the preoperative planning scan. MR 2 was the first intraoperative scan acquired with the patient's head fixed in the surgical position. MR 3 was the second intraoperative scan acquired following craniotomy and durotomy, prior to lesion resection. MR 4 was the last intraoperative scan acquired following lesion resection, prior to wound closure. MR 5 was a postoperative scan acquired at the 3-month follow-up visit. Ten association WMT/WMT segments and 1 projection WMT were generated via a probabilistic tractography algorithm from each MRI scan. Image registration was performed through pairwise MRI alignments using the skull segmentation. The MR 1 and MR 2 pairing represented the first surgical stage. The MR 2 and MR 3 pairing represented the second surgical stage. The MR 3 and MR 4 (or MR 5 ) pairing represented the third surgical stage. The WMT shift was quantified by measuring displacements between a pair of WMT centerlines. Linear mixed-effects regression analyses were carried out for 6 IOFs: head rotation, craniotomy size, durotomy size, resected lesion volume, presence of brain edema, and CSF loss via ventricular penetration. RESULTS The average WMT shift in the operative hemisphere was 2.37 mm (range 1.92-3.03 mm) during the first surgical stage, 2.19 mm (range 1.90-3.65 mm) during the second surgical stage, and 2.92 mm (range 2.19-4.32 mm) during the third surgical stage. Greater WMT shift occurred in the operative than the nonoperative hemisphere, in the WMTs adjacent to the surgical lesion rather than those remote to it, and in the superficial rather than the deep segment of the pyramidal tract. Durotomy size and resection size were significant, independent IOFs affecting WMT shift. The presence of brain edema was a marginally significant IOF. Craniotomy size, degree of head rotation, and ventricular penetration were not significant IOFs affecting WMT shift. CONCLUSIONS WMT shift occurs noticeably in tracts adjacent to the surgical lesions, and those motor tracts superficially placed in the operative hemisphere. Intraoperative probabilistic HARDI tractography following craniotomy, durotomy, and lesion resection may compensate for intraoperative WMT shift and improve neuronavigation accuracy. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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