February 16, 2011
Neurologists Develop Software Application To Help Identify Subtle Epileptic Lesions
Proof-of-concept research at NYU Langone validated by leading MRI methods, warrants further research
Researchers from the Department of Neurology at NYU Langone Medical Center identified potential benefits of a new computer application that automatically detects subtle brain lesions in MRI scans in patients with epilepsy. In a study published in the February 2011 issue of PlosOne, the authors discuss the software's potential to assist radiologists in better identifying and locating visually undetectable, operable lesions.
The proof-of-concept study, entitled "Detection of epileptogenic cortical malformations with surface-based MRI morphometry," demonstrates that non-invasive and automated detection of known epileptogenic structural abnormalities in cortex is possible, and supports its potential use as a tool for diagnosis and planning of epilepsy surgery.
The researchers are encouraged by the initial results and have already started evaluating the applications ability to determine undetected lesions in previously negative MRI scans, with findings to be published later this year.
The study's other authors include Chad Carlson, Brian T. Quinn, Orrin Devinsky, Jonathan DuBois, Jacqueline French, Olga Felsovalyi, Xiuyuan Wang and Ruben Kuzniecky from NYU Langone Medical Center; Carrie R. McDonald and Eric Halgren from the University of California, San Diego and Richard Leventer from the Royal Children's Hospital, Murdoch Children's Research Institute, University of Melbourne, Australia. The article on PlosOne can be found at http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0016430.
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