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P1‐333: MEDICAL INFORMATICS PLATFORM (MIP): A VALIDATION STUDY ACROSS CLINICAL ITALIAN COHORTS
Author(s) -
Redolfi Alberto,
De Francesco Silvia,
Palesi Fulvia,
Kherif Ferath,
Muscio Cristina,
Nigri Anna,
Bottini Gabriella,
Frisoni Giovanni B.,
Tagliavini Fabrizio,
Bruzzone Maria Grazia,
Ryvlin Philippe,
Démonet Jean-François,
Cappa Stefano,
D'Angelo Egidio
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.2019.06.888
Subject(s) - artificial intelligence , informatics , machine learning , cohort , medicine , gradient boosting , computer science , imputation (statistics) , logistic regression , missing data , random forest , electrical engineering , engineering
compared against slow/moderate decline groups. A p<0.05 FWE corrected threshold was used. Results: The deficit patterns were markedly different for the three decliner subgroups when compared to controls, involving frontal and parietal lobes bilaterally in the fast decliners, parietal and superior frontal regions for moderate decliners, and a posterior pattern involving both occipital and parietal lobes for the slow decliners. Decliners showed significant perfusion deficits in bilateral angular gyrus, precuneus and bilateral superior frontal lobe regions when compared to non-decliners. When comparing decliner groups, perfusion was significantly reduced in the left orbitofrontal and superior frontal gyrus for the fast decliner group compared to the moderate and slow groups. Conclusions: Regional perfusion SPECT abnormality provides prognostic information that can aid clinician reporting, and quantify the likely time course of decline. Patients with frontal hypoperfusion are at higher risk when compared to other cognitively impaired individuals. Those with posterior only patterns may decline more slowly.