Hyppää sisältöön
    • Suomeksi
    • In English
  • Suomeksi
  • In English
  • Kirjaudu
Näytä aineisto 
  •   Etusivu
  • 3. UTUCris-artikkelit
  • Rinnakkaistallenteet
  • Näytä aineisto
  •   Etusivu
  • 3. UTUCris-artikkelit
  • Rinnakkaistallenteet
  • Näytä aineisto
JavaScript is disabled for your browser. Some features of this site may not work without it.

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 Aβ species

Francisco Oliveira; Antoine Leuzy; João Castelhano; Konstantinos Chiotis; Steen Gregers Hasselbalch; Juha Rinne; Alexandre Mendonça; Markus Otto; Alberto Lleó; Isabel Santana; Jarkko Johansson; Sarah Anderl-Straub; Christine Arnim; Ambros Beer; Rafael Blesa; Juan Fortea; Herukka Sanna-Kaisa; Erik Portelius; Josef Pannee; Henrik Zetterberg; Kaj Blennow; Ana P. Moreira; Antero Abrunhosa; Agneta Nordberg; Miguel Castelo-Branco

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 Aβ species

Francisco Oliveira
Antoine Leuzy
João Castelhano
Konstantinos Chiotis
Steen Gregers Hasselbalch
Juha Rinne
Alexandre Mendonça
Markus Otto
Alberto Lleó
Isabel Santana
Jarkko Johansson
Sarah Anderl-Straub
Christine Arnim
Ambros Beer
Rafael Blesa
Juan Fortea
Herukka Sanna-Kaisa
Erik Portelius
Josef Pannee
Henrik Zetterberg
Kaj Blennow
Ana P. Moreira
Antero Abrunhosa
Agneta Nordberg
Miguel Castelo-Branco
Katso/Avaa
Publisher's PDF (1.048Mb)
Lataukset: 

Elsevier Inc.
doi:10.1016/j.nicl.2018.08.023
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2021042719732
Tiivistelmä
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 β (Aβ) 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 Aβ38, Aβ40 and Aβ42 were submitted to classification using support vector machines. Voxel-wise group differences and correlations between normalized PiB-PET images and CSF Aβ 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 Aβ 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. Aβ38 and Aβ40 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 Aβ42, the Aβ42/Aβ40 or Aβ42/Aβ38 ratios were found compared to normalization based on cerebellar gray matter.
Kokoelmat
  • Rinnakkaistallenteet [29335]

Turun yliopiston kirjasto | Turun yliopisto
julkaisut@utu.fi | Tietosuoja | Saavutettavuusseloste
 

 

Tämä kokoelma

JulkaisuajatTekijätNimekkeetAsiasanatTiedekuntaLaitosOppiaineYhteisöt ja kokoelmat

Omat tiedot

Kirjaudu sisäänRekisteröidy

Turun yliopiston kirjasto | Turun yliopisto
julkaisut@utu.fi | Tietosuoja | Saavutettavuusseloste