Open AccessNovel diffusion tractography methodology using Kalman filter prediction to improve preoperative benefit-risk analysis in pediatric epilepsy surgery
Author(s) -
Min Hee Lee,
Nolan O'Hara,
Hirotaka Motoi,
Aimee F. Luat,
Csaba Juhász,
Sandeep Sood,
Eishi Asano,
JeongWon Jeong
Publication year - 2019
Publication title -
journal of neurosurgery. pediatrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.992
H-Index - 67
eISSN - 1933-0715
pISSN - 1933-0707
DOI - 10.3171/2019.4.peds1994
Subject(s) - tractography , diffusion mri , epilepsy surgery , voxel , epilepsy , medicine , temporal lobe , margin (machine learning) , radiology , nuclear medicine , computer science , magnetic resonance imaging , machine learning , psychiatry
In this study the authors investigated the clinical reliability of diffusion weighted imaging maximum a posteriori probability (DWI-MAP) analysis with Kalman filter prediction in pediatric epilepsy surgery. This approach can yield a suggested resection margin as a dynamic variable based on preoperative DWI-MAP pathways. The authors sought to determine how well the suggested margin would have maximized occurrence of postoperative seizure freedom (benefit) and minimized occurrence of postoperative neurological deficits (risk).