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Single-subject SPM FDG-PET patterns predict risk of dementia progression in Parkinson disease

Authors :
Pilotto, A
Premi, E
Caminiti, S
Presotto, L
Turrone, R
Alberici, A
Paghera, B
Borroni, B
Padovani, A
Perani, D
Pilotto A.
Premi E.
Caminiti S. P.
Presotto L.
Turrone R.
Alberici A.
Paghera B.
Borroni B.
Padovani A.
Perani D.
Pilotto, A
Premi, E
Caminiti, S
Presotto, L
Turrone, R
Alberici, A
Paghera, B
Borroni, B
Padovani, A
Perani, D
Pilotto A.
Premi E.
Caminiti S. P.
Presotto L.
Turrone R.
Alberici A.
Paghera B.
Borroni B.
Padovani A.
Perani D.
Publication Year :
2018

Abstract

Objective To evaluate the statistical parametric mapping (SPM) procedure for fluorodeoxyglucose (FDG)-PET imaging as a possible single-subject marker of progression to dementia in Parkinson disease (PD). Methods Fifty-four consecutive patients with PD without dementia (age at onset of 59.9 ± 10.1 years, disease duration of 5.3 ± 3.4 years) entered the study. The patients underwent an extensive motor and cognitive assessment and a single-subject FDG-PET SPM evaluation at baseline. A 4-year follow-up provided disease progression and dementia diagnosis. Results The FDG-PET SPM was evaluated by 2 expert raters allowing the identification of a "typical PD pattern" in 29 patients, whereas 25 patients presented with "atypical patterns," namely, dementia with Lewy bodies (DLB)-like (n = 12), Alzheimer disease (AD)-like (n = 6), corticobasal syndrome (CBS)-like (n = 5), and frontotemporal dementia (FTD)-like (n = 2). At 4-year follow-up, 13 patients, all showing atypical brain metabolic patterns at baseline, progressed to dementia (PD dementia). The DLB-and AD-like SPM patterns were the best predictor for incident dementia (p < 0.005, sensitivity 85%, specificity 88%), independently from demographics or cognitive baseline classification. Conclusions This study suggests that FDG-PET SPM at the single-subject level might help in identifying patients with PD at risk of developing dementia.

Details

Database :
OAIster
Notes :
STAMPA, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1334334783
Document Type :
Electronic Resource