Premium
P4‐319: CENTILOID SCALE TRANSFORMATION OF FLORBETAPIR DATA ACQUIRED ON A PET/MR SCANNER
Author(s) -
Coath William,
Modat Marc,
Cardoso Jorge,
Markiewicz Pawel J.,
Lane Christopher A.,
Parker Thomas D.,
Keuss Sarah E.,
Buchanan Sarah M.,
Burgos Ni,
Dickson John,
Barnes Anna,
Thomas David L.,
Beasley Daniel,
Malone Ian B.,
Wong Andrew,
Thomas Ben A.,
Ourselin Sebastien,
Richards Marcus,
Fox Nick C.,
Schott Jonathan M.,
Cash David M.
Publication year - 2019
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.2019.06.3989
Subject(s) - nuclear medicine , correction for attenuation , medicine , pipeline (software) , positron emission tomography , computer science , programming language
between EMCIs and LMCIs in cognitive decline rate or tracer uptake, thus the subjects were combined for further analysis. Chisquare test found no difference between A-T-, A+T-, A-T+, A+T+ groups (Fisher exact test P1⁄40.68). Fast decliners had significant higher tau load in temporal lobe (P1⁄40.16), hippocampus (P1⁄40.02), para-hippocampal gyrus (P<0.01), while no significant difference of amyloid load or glucose metabolic rate (MRGlc) was observed. Significant correlation was found between cognitive decline rate and tau deposition in medial temporal lobe (P1⁄40.02) and parahippocampal gyrus (P1⁄40.01) but not amyloid load, rCMRGlc or initial ADAS score. Logistic regression found only parahippocampal gyrus tau load (P<0.01) was predictive for fast decliners. Conclusions: Tau load is identified as the most important predictor for short-term cognitive decline among MCI patients regardless of amyloid load. Interestingly, baseline glucose metabolic rate or initial ADAS score did not predict the future deterioration in MCI subjects.