Quantification of amyloid PET for future clinical use. A state-of-the-art review
Creators
- Pemberton, Hugh G.1, 2, 3
- Collij, Lyduine E.4
- Heeman, Fiona4
- Vallez Garcia, David4
- Bollack, Ariane2
- Shekari, Mahnaz5, 6, 7
- Salvadó, Gemma8, 7
- Lopes Alves, Isadora9, 4
- Battle, Mark8, 3
- Buckley, Christopher3
- Farrar, Gill3
- Stephens, Andrew W.10
- Bullich, Santiago10
- Garibotto, Valentina11, 12
- Barkhof, Frederik4, 1, 2
- Domingo Gispert, Juan13, 5, 6, 7
- The AMYPAD consortium
- 1. UCL Queen Square Institute of Neurology, University College London, London (United Kingdom)
- 2. Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London (United Kingdom)
- 3. GE Healthcare, Amersham (United Kingdom)
- 4. Department of Radiology and Nuclear Medicine, Amsterdam Neurocience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam (Netherlands)
- 5. IMIM (Hospital del Mar Medical Research Institute), Barcelona (Spain)
- 6. Universitat Pompeu Fabra, Barcelona (Spain)
- 7. Barcelonabeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona (Spain)
- 8. Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö (Sweden)
- 9. Brain Research Center, Amsterdam (Netherlands)
- 10. Life Molecular Imaging GmbH, Berlin (Germany)
- 11. NIMTLab, Faculty of Medicine, University of Geneva, Geneva (Switzerland)
- 12. Division of Nuclear Medicine and Molecular Imaging, University Hospitals of Geneva, Geneva (Switzerland)
- 13. Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid (ES)
Description
Amyloid-β (Aβ) pathology is one of the earliest detectable brain changes in Alzheimer's disease (AD) pathogenesis. The overall load and spatial distribution of brain Aβ can be determined in vivo using positron emission tomography (PET), for which three fluorine-18 labelled radiotracers have been approved for clinical use. In clinical practice, trained readers will categorise scans as either Aβ positive or negative, based on visual inspection. Diagnostic decisions are often based on these reads and patient selection for clinical trials is increasingly guided by amyloid status. However, tracer deposition in the grey matter as a function of amyloid load is an inherently continuous process, which is not sufficiently appreciated through binary cut-offs alone. State-of-the-art methods for amyloid PET quantification can generate tracer-independent measures of Aβ burden. Recent research has shown the ability of these quantitative measures to highlight pathological changes at the earliest stages of the AD continuum and generate more sensitive thresholds, as well as improving diagnostic confidence around established binary cut-offs. With the recent FDA approval of aducanumab and more candidate drugs on the horizon, early identification of amyloid burden using quantitative measures is critical for enrolling appropriate subjects to help establish the optimal window for therapeutic intervention and secondary prevention. In addition, quantitative amyloid measurements are used for treatment response monitoring in clinical trials. In clinical settings, large multi-centre studies have shown that amyloid PET results change both diagnosis and patient management and that quantification can accurately predict rates of cognitive decline. Whether these changes in management reflect an improvement in clinical outcomes is yet to be determined and further validation work is required to establish the utility of quantification for supporting treatment endpoint decisions. In this state-of-the-art review, several tools and measures available for amyloid PET quantification are summarised and discussed. Use of these methods is growing both clinically and in the research domain. Concurrently, there is a duty of care to the wider dementia community to increase visibility and understanding of these methods.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00259-022-05784-yAdditional details
Identifiers
Publishing Information
- Journal Title
- European Journal of Nuclear Medicine and Molecular Imaging
- Journal Volume
- 49
- Journal Issue
- 10
- Journal Page Range
- p. 3508-3528
- ISSN
- 1619-7070
- CODEN
- EJNMA6
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 53099212
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BIOLOGICAL ACCUMULATION; BRAIN; CLINICAL TRIALS; DIAGNOSIS; FLUORINE 18; IMAGE PROCESSING; IN VIVO; MENTAL DISORDERS; NERVOUS SYSTEM DISEASES; PATHOGENESIS; PATHOLOGICAL CHANGES; POSITRON COMPUTED TOMOGRAPHY; RADIOPHARMACEUTICALS; REVIEWS; SPATIAL DISTRIBUTION; TRACER TECHNIQUES; UPTAKE; VALIDATION
- Descriptors DEC
- BETA DECAY RADIOISOTOPES; BETA-PLUS DECAY RADIOISOTOPES; BODY; CENTRAL NERVOUS SYSTEM; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; DISEASES; DISTRIBUTION; DOCUMENT TYPES; DRUGS; EMISSION COMPUTED TOMOGRAPHY; FLUORINE ISOTOPES; HOURS LIVING RADIOISOTOPES; ISOMERIC TRANSITION ISOTOPES; ISOTOPE APPLICATIONS; ISOTOPES; LABELLED COMPOUNDS; LIGHT NUCLEI; MATERIALS; NANOSECONDS LIVING RADIOISOTOPES; NERVOUS SYSTEM; NUCLEI; ODD-ODD NUCLEI; ORGANS; PROCESSING; RADIOACTIVE MATERIALS; RADIOISOTOPES; TESTING; TOMOGRAPHY
Optional Information
- Collaborations
- The AMYPAD consortium