Data driven diagnostic classification in Alzheimer's disease based on different reference regions for normalization of PiB-PET images and correlation with CSF concentrations of A beta species


Por: Oliveira, F, Leuzy, A, Castelhano, J, Chiotis, K, Hasselbalch, SG, Rinne, J, Mendonca, A, Otto, M, Lleo, A, Santana, I, Johansson, J, Anderl-Straub, S, Arnim, C, Beer, A, Blesa, R, Fortea, J, Sanna-Kaisa, H, Portelius, E, Pannee, J, Zetterberg, H, Blennow, K, Moreira, AP, Abrunhosa, A, Nordberg, A, Castelo-Branco, M

Publicada: 1 ene 2018
Resumen:
Positron emission tomography (PET) neuroimaging with the Pittsburgh Compound_B (PiB) is widely used to assess amyloid plaque burden. Standard quantification approaches normalize PiB-PET by mean cerebellar gray matter uptake. Previous studies suggested similar pons and white-matter uptake in Alzheimer's disease (AD) and healthy controls (HC), but lack exhaustive comparison of normalization across the three regions, with data-driven diagnostic classification. We aimed to compare the impact of distinct reference regions in normalization, measured by data-driven statistical analysis, and correlation with cerebrospinal fluid (CSF) amyloid beta (A beta) species concentrations. 243 individuals with clinical diagnosis of AD, HC, mild cognitive impairment (MCI) and other dementias, from the Biomarkers for Alzheimer's/Parkinson's Disease (BIOMARKAPD) initiative were included. PiB-PET images and CSF concentrations of A beta(38), A beta(40) and A beta(42) were submitted to classification using support vector machines. Voxel-wise group differences and correlations between normalized PiB-PET images and CSF A beta concentrations were calculated. Normalization by cerebellar gray matter and pons yielded identical classification accuracy of AD (accuracy-96%, sensitivity-96%, specificity-95%), and significantly higher than A beta concentrations (best accuracy 91%). Normalization by the white-matter showed decreased extent of statistically significant multivoxel patterns and was the only method not outperforming CSF biomarkers, suggesting statistical inferiority. A beta(38) and A beta(40) correlated negatively with PiB-PET images normalized by the white-matter, corroborating previous observations of correlations with non-AD-specific subcortical changes in white-matter. In general, when using the pons as reference region, higher voxel-wise group differences and stronger correlation with A beta(42), the A beta(42)/A beta(40) or A beta(42)/A beta(38) ratios were found compared to normalization based on cerebellar gray matter.

Filiaciones:
Oliveira, F:
 Univ Coimbra, Fac Med, IBILI, CiBIT,ICNAS, Coimbra, Portugal

Leuzy, A:
 Karolinska Inst, Ctr Alzheimer Res, Translat Alzheimer Neurobiol, Dept Neurobiol Care Sci & Soc, Stockholm, Sweden

Castelhano, J:
 Univ Coimbra, Fac Med, IBILI, CiBIT,ICNAS, Coimbra, Portugal

Chiotis, K:
 Karolinska Inst, Ctr Alzheimer Res, Translat Alzheimer Neurobiol, Dept Neurobiol Care Sci & Soc, Stockholm, Sweden

Hasselbalch, SG:
 Univ Copenhagen, Rigshosp, Dept Neurol, Danish Dementia Res Ctr, Copenhagen, Denmark

Rinne, J:
 Univ Turku, Turku Univ Hosp, Dept Clin Neurosci, Turku, Finland

Mendonca, A:
 Univ Lisbon, Fac Med, Dept Neurol, Lisbon, Portugal

 Univ Lisbon, Fac Med, Lab Neurosci, Lisbon, Portugal

Otto, M:
 Univ Ulm, Dept Neurol, Ulm, Germany

 Hosp Santa Creu & Sant Pau, Neurol Dept, Barcelona, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Barcelona, Spain

Santana, I:
 Univ Coimbra, Ctr Hosp & Univ Coimbra, Fac Med, Neurol Dept, Coimbra, Portugal

Johansson, J:
 Turku Univ Hosp, Turku PET Ctr, Turku, Finland

Anderl-Straub, S:
 Univ Ulm, Dept Neurol, Ulm, Germany

Arnim, C:
 Univ Ulm, Dept Neurol, Ulm, Germany

Beer, A:
 Ulm Univ Hosp, Dept Nucl Med, Ulm, Germany

Blesa, R:
 Hosp Santa Creu & Sant Pau, Neurol Dept, Barcelona, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Barcelona, Spain

Fortea, J:
 Hosp Santa Creu & Sant Pau, Neurol Dept, Barcelona, Spain

 Ctr Invest Biomed Red Enfermedades Neurodegenerat, Barcelona, Spain

Sanna-Kaisa, H:
 Univ Eastern Finland, Dept Neurol, Kuopio, Finland

 Kuopio Univ Hosp, Kuopio, Finland

Portelius, E:
 Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden

 Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden

Pannee, J:
 Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden

 Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden

Zetterberg, H:
 Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden

 Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden

 UCL Inst Neurol, Dept Mol Neurosci, Queen Sq, London, England

 UK Dementia Res Inst, London, England

Blennow, K:
 Univ Gothenburg, Sahlgrenska Acad, Inst Neurosci & Physiol, Dept Psychiat & Neurochem, Molndal, Sweden

 Sahlgrens Univ Hosp, Clin Neurochem Lab, Molndal, Sweden

Moreira, AP:
 Univ Coimbra, Fac Med, IBILI, CiBIT,ICNAS, Coimbra, Portugal

Abrunhosa, A:
 Univ Coimbra, Fac Med, IBILI, CiBIT,ICNAS, Coimbra, Portugal

Nordberg, A:
 Karolinska Inst, Ctr Alzheimer Res, Translat Alzheimer Neurobiol, Dept Neurobiol Care Sci & Soc, Stockholm, Sweden

 Karolinska Univ Hosp Huddinge, Dept Geriatr Med, Stockholm, Sweden

Castelo-Branco, M:
 Univ Coimbra, Fac Med, IBILI, CiBIT,ICNAS, Coimbra, Portugal
ISSN: 22131582





NeuroImage-Clinical
Editorial
ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, Países Bajos
Tipo de documento: Article
Volumen: 20 Número:
Páginas: 603-610
WOS Id: 000450799000065
ID de PubMed: 30186764
imagen Gold, Green Published

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