Abstract #3561
Multi-contrast z-score comparison discriminates patients with psychiatric disorders from controls
Aziz M Ulug 1,2 , Mehmed Ozkan 2 , Peter B Kingsley 3 , Ivana De Lucia 1 , Azim Celik 4 , Pamela DeRosse 5,6 , Anil Malhotra 5,6 , and Philip R Szeszko 5,6
1
Center for Neurosciences, Feinstein
Institute for Medical Research, Manhasset, New York,
United States,
2
Institute
of Biomedical Engineering, Bogazici University,
Istanbul, Turkey,
3
North
Shore University Hospital, Manhasset, New York, United
States,
4
GE
Healthcare, Antalya, Turkey,
5
Center
for Psychiatric Neuroscience, Feinstein Institute for
Medical Research, Manhasset, New York, United States,
6
Psychiatry
Research, Zucker Hillside Hospital, North Shore-LIJ
Health System, New York, United States
Developing a neuroimaging tool that can determine the
normalcy of a multi-contrast MR examination will be
useful in clinical practice. In a given radiology
department, close to 50% of all MRI examinations are
read as normal by the staff radiologists. Here, we
describe a z-score based method which reduces the entire
MRI examination to a single number, which can be used to
determine the disease state. We have applied this
methodology to two groups of patients (schizophrenia and
bipolar disease) and two groups of matched healthy
controls. We show that although the clinical MR imaging
was not diagnostic, we can separate the patient groups
from controls using this method.
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