Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.

Journal: NeuroImage
PMID: 29097316

Abstract

OBJECTIVE: Focal cortical dysplasias (FCDs) often cause pharmacoresistant epilepsy, and surgical resection can lead to seizure-freedom. Magnetic resonance imaging (MRI) and positron emission tomography (PET) play complementary roles in FCD identification/localization; nevertheless, many FCDs are small or subtle, and difficult to find on routine radiological inspection. We aimed to automatically detect subtle or visually-unidentifiable FCDs by building a classifier based on an optimized cortical surface sampling of combined MRI and PET features.

Authors

  • Yee-Leng Tan
    Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Neurology, National Neuroscience Institute, Singapore. Electronic address: tan.yee.leng.neuro@singhealth.com.sg.
  • Hosung Kim
    Laboratory of Neuro Imaging, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA. Electronic address: hosung.kim@loni.usc.edu.
  • Seunghyun Lee
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. Electronic address: seunghyun.lee.22@gmail.com.
  • Tarik Tihan
    Department of Neurology, University of California, San Francisco, San Francisco, CA, USA. Electronic address: tarik.tihan@ucsf.edu.
  • Lawrence Ver Hoef
    Department of Neurology, University of Alabama, Birmingham, United Kingdom. Electronic address: lverhoef@uab.edu.
  • Susanne G Mueller
    Department of Radiology, Seoul National University Hospital, Republic of Korea. Electronic address: susanne.mueller@ucsf.edu.
  • Anthony James Barkovich
    Department of Radiology, Seoul National University Hospital, Republic of Korea. Electronic address: james.barkovich@ucsf.edu.
  • Duan Xu
    Department of Radiology, Seoul National University Hospital, Republic of Korea. Electronic address: duan.xu@ucsf.edu.
  • Robert Knowlton
    Department of Neurology, University of California, San Francisco, San Francisco, CA, USA. Electronic address: robert.knowlton@ucsf.edu.

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