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Amyloid biomarkers as predictors of conversion from mild cognitive impairment to Alzheimer’s dementia: a comparison of methods

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Titel: Amyloid biomarkers as predictors of conversion from mild cognitive impairment to Alzheimer’s dementia: a comparison of methods
Autoren: Arnd Sörensen, Ganna Blazhenets, Florian Schiller, Philipp Tobias Meyer, Lars Frings, for the Alzheimer Disease Neuroimaging Initiative
Quelle: Alzheimers Res Ther
Alzheimer’s Research & Therapy, Vol 12, Iss 1, Pp 1-6 (2020)
Verlagsinformationen: Springer Science and Business Media LLC, 2020.
Publikationsjahr: 2020
Schlagwörter: 2. Zero hunger, Alzheimer's dementia, Amyloid beta-Peptides, PET image evaluation, Research, Humans [MeSH], Amyloid beta-Peptides [MeSH], Alzheimer Disease/diagnostic imaging [MeSH], Cognitive Dysfunction/diagnostic imaging [MeSH], Amyloid biomarkers, Positron-Emission Tomography [MeSH], Alzheimer Disease/complications [MeSH], Conversion prediction, Biomarkers [MeSH], Mild cognitive impairment, Neurosciences. Biological psychiatry. Neuropsychiatry, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, Positron-Emission Tomography, Humans, Cognitive Dysfunction, Neurology. Diseases of the nervous system, RC346-429, 10. No inequality, Biomarkers, RC321-571
Beschreibung: Background Amyloid-β (Aβ) PET is an established predictor of conversion from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD). We compared three PET (including an approach based on voxel-wise Cox regression) and one cerebrospinal fluid (CSF) outcome measures in their predictive power. Methods Datasets were retrieved from the ADNI database. In a training dataset (N = 159), voxel-wise Cox regression and principal component analyses were used to identify conversion-related regions (Cox-VOI and AD conversion-related pattern (ADCRP), respectively). In a test dataset (N = 129), the predictive value of mean normalized 18F-florbetapir uptake (SUVR) in AD-typical brain regions (composite SUVR) or the Cox-VOI and the pattern expression score (PES) of ADCRP and CSF Aβ42/Aβ40 as predictors were compared by Cox models (corrected for age and sex). Results All four Aβ measures were significant predictors (p c) showed step-wise significant increases from Cox-SUVR (c = 0.71; HR = 1.84 per Z-score increase), composite SUVR (c = 0.73; HR = 2.18), CSF Aβ42/Aβ40 (c = 0.75; HR = 3.89) to PES (c = 0.77; HR = 2.71). Conclusion The PES of ADCRP is the most predictive Aβ PET outcome measure, comparable to CSF Aβ42/Aβ40, with a slight but statistically significant advantage.
Publikationsart: Article
Conference object
Other literature type
Dateibeschreibung: pdf
Sprache: English
ISSN: 1758-9193
DOI: 10.1186/s13195-020-00721-3
Zugangs-URL: https://alzres.biomedcentral.com/track/pdf/10.1186/s13195-020-00721-3
https://pubmed.ncbi.nlm.nih.gov/33213489
https://doaj.org/article/f2723cbd1a7c47328441f0220c8cb078
https://link.springer.com/content/pdf/10.1186/s13195-020-00721-3.pdf
https://pubmed.ncbi.nlm.nih.gov/33213489/
https://alzres.biomedcentral.com/articles/10.1186/s13195-020-00721-3
https://europepmc.org/article/MED/33213489
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678323
https://www.ncbi.nlm.nih.gov/pubmed/33213489
https://repository.publisso.de/resource/frl:6452438
Rights: CC BY
Dokumentencode: edsair.doi.dedup.....4c5e3667b69abf37aea54c23a59eec8d
Datenbank: OpenAIRE
Beschreibung
Abstract:Background Amyloid-β (Aβ) PET is an established predictor of conversion from mild cognitive impairment (MCI) to Alzheimer’s dementia (AD). We compared three PET (including an approach based on voxel-wise Cox regression) and one cerebrospinal fluid (CSF) outcome measures in their predictive power. Methods Datasets were retrieved from the ADNI database. In a training dataset (N = 159), voxel-wise Cox regression and principal component analyses were used to identify conversion-related regions (Cox-VOI and AD conversion-related pattern (ADCRP), respectively). In a test dataset (N = 129), the predictive value of mean normalized 18F-florbetapir uptake (SUVR) in AD-typical brain regions (composite SUVR) or the Cox-VOI and the pattern expression score (PES) of ADCRP and CSF Aβ42/Aβ40 as predictors were compared by Cox models (corrected for age and sex). Results All four Aβ measures were significant predictors (p c) showed step-wise significant increases from Cox-SUVR (c = 0.71; HR = 1.84 per Z-score increase), composite SUVR (c = 0.73; HR = 2.18), CSF Aβ42/Aβ40 (c = 0.75; HR = 3.89) to PES (c = 0.77; HR = 2.71). Conclusion The PES of ADCRP is the most predictive Aβ PET outcome measure, comparable to CSF Aβ42/Aβ40, with a slight but statistically significant advantage.
ISSN:17589193
DOI:10.1186/s13195-020-00721-3