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P3‐236: 18FDG‐PET (2‐DEOXY‐2‐( 18 F)Fluoro‐D‐Glucose Positron Emission Tomography)Pattern Can Facilitate Nmdar‐ Encephalitis Diagnosis: a Series of Cases at the National Institute of Neurology and Neurosurgery of Mexico
Author(s) -
Leon-Salas Jorge M.,
Sosa-Ortiz Ana Luisa,
Ojeda-Lopez Carmen
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.1898
Subject(s) - positron emission tomography , medicine , pathological , neurology , neuroradiology , pediatrics , population , catatonia , epilepsy , dementia , encephalitis , depression (economics) , electroencephalography , disease , psychiatry , nuclear medicine , virus , immunology , schizophrenia (object oriented programming) , environmental health , economics , macroeconomics
then generated using the cerebellum grey matter and the global white matter as reference regions. First, a receiver operating characteristic (ROC) curve was performed at every voxel contrasting controls and ADparticipants. Second, the optimal cut-off value at every voxelwas calculated using the least distance from (0,1) point to the ROC curve (best operating point) (Figure 1). Third, parametric maps of diagnostic sensitivity and specificity were generated (Figure 2). Finally, probabilistic maps for baseline Ab positivity at every voxel were generated for MCI converters (n1⁄4 55) and non-converters (n1⁄4 256) over 2 years (Figure 3). Results: The highest SUVR cut-off values were found in the precuneus, anterior and posterior cingulate cortices, whereas the lowest were found in clusters in the temporal lobe (Figure 1). Diagnostic sensitivity and specificity were the highest in clusters in the precuneus, posterior cingulate, temporal, and frontal cortices (Figure 2). Probabilistic maps showed that MCI non-converters did not present a specific pattern of amyloid deposition at baseline, whereas MCI converters reached 100% of positivity in voxels in the posterior cingulate, precuneus, frontal and temporal cortices (Figure 3).Conclusions: Our results revealed that the analysis of amyloid-PET cut-offs at every voxel might provide important information regarding the patterns of regional Ab abnormalities associated with the clinical progression to AD.