Literature DB >> 29777003

Impact of Reference and Target Region Selection on Amyloid PET SUV Ratios in the Phase 1b PRIME Study of Aducanumab.

Ping Chiao1, Barry J Bedell2,3, Brian Avants4, Alex P Zijdenbos2, Marilyn Grand'Maison2, Paul O'Neill5, John O'Gorman4, Tianle Chen4, Robert Koeppe6.   

Abstract

SUV ratios (SUVRs) are commonly used to quantify tracer uptake in amyloid-β PET. Here, we explore the impact of target and reference region-of-interest (ROI) selection on SUVR effect sizes using interventional data from the ongoing phase 1b PRIME study (NCT01677572) of aducanumab (BIIB037) in patients with prodromal or mild Alzheimer disease.
Methods: The florbetapir PET SUVR was calculated at baseline (screening) and at weeks 26 and 54 for patients randomized to receive placebo and each of 4 aducanumab doses (1, 3, 6, and 10 mg/kg) using the whole cerebellum, cerebellar gray matter, cerebellar white matter, pons, and subcortical white matter as reference regions. In addition to the prespecified composite cortex target ROI, individual cerebral cortical ROIs were assessed as targets.
Results: Of the reference regions used, subcortical white matter, cerebellar white matter, and the pons, alone or in combination, generated the largest effect sizes. The use of the anterior cingulate cortex as a target ROI resulted in larger effect sizes than the use of the composite cortex. SUVR calculations were not affected by correction for brain volume changes over time.
Conclusion: Dose- and time-dependent reductions in the amyloid PET SUVR were consistently observed with aducanumab only in cortical regions prone to amyloid plaque deposition, regardless of the reference region used. These data support the hypothesis that florbetapir SUVR responses associated with aducanumab treatment are a result of specific dose- and time-dependent reductions in the amyloid burden in patients with Alzheimer disease.
© 2019 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  Alzheimer disease; SUVR; aducanumab; amyloid PET; amyloid-plaque–devoid; amyloid-β

Mesh:

Substances:

Year:  2018        PMID: 29777003     DOI: 10.2967/jnumed.118.209130

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  15 in total

1.  Evaluation of 18F-flutemetamol amyloid PET image analysis parameters on the effect of verubecestat on brain amlyoid load in Alzheimer's disease.

Authors:  Cyrille Sur; Katarzyna Adamczuk; David Scott; James Kost; Mehul Sampat; Christopher Buckley; Gill Farrar; Ben Newton; Joyce Suhy; Idriss Bennacef; Michael F Egan
Journal:  Mol Imaging Biol       Date:  2022-07-07       Impact factor: 3.488

2.  Aducanumab Use in Symptomatic Alzheimer Disease Evidence in Focus: A Report of the AAN Guidelines Subcommittee.

Authors:  Gregory S Day; Nikolaos Scarmeas; Richard Dubinsky; Katherine Coerver; Anitra Mostacero; Brooks West; Scott R Wessels; Melissa J Armstrong
Journal:  Neurology       Date:  2022-02-23       Impact factor: 11.800

Review 3.  Imaging biomarkers in neurodegeneration: current and future practices.

Authors:  Peter N E Young; Mar Estarellas; Emma Coomans; Meera Srikrishna; Helen Beaumont; Anne Maass; Ashwin V Venkataraman; Rikki Lissaman; Daniel Jiménez; Matthew J Betts; Eimear McGlinchey; David Berron; Antoinette O'Connor; Nick C Fox; Joana B Pereira; William Jagust; Stephen F Carter; Ross W Paterson; Michael Schöll
Journal:  Alzheimers Res Ther       Date:  2020-04-27       Impact factor: 6.982

4.  Amyloid positron emission tomography and cerebrospinal fluid results from a crenezumab anti-amyloid-beta antibody double-blind, placebo-controlled, randomized phase II study in mild-to-moderate Alzheimer's disease (BLAZE).

Authors:  Stephen Salloway; Lee A Honigberg; William Cho; Michael Ward; Michel Friesenhahn; Flavia Brunstein; Angelica Quartino; David Clayton; Deborah Mortensen; Tobias Bittner; Carole Ho; Christina Rabe; Stephen P Schauer; Kristin R Wildsmith; Reina N Fuji; Shehnaaz Suliman; Eric M Reiman; Kewei Chen; Robert Paul
Journal:  Alzheimers Res Ther       Date:  2018-09-19       Impact factor: 6.982

5.  Pre-Clinical Safety and Efficacy Evaluation of Amytrap, a Novel Therapeutic to Treat Alzheimer's Disease.

Authors:  Omkar Gandbhir; Pazhani Sundaram
Journal:  J Alzheimers Dis Rep       Date:  2019-05-06

Review 6.  Drug Development for Alzheimer's Disease: Microglia Induced Neuroinflammation as a Target?

Authors:  Yuan Dong; Xiaoheng Li; Jinbo Cheng; Lin Hou
Journal:  Int J Mol Sci       Date:  2019-01-28       Impact factor: 5.923

7.  Strategies to reduce sample sizes in Alzheimer's disease primary and secondary prevention trials using longitudinal amyloid PET imaging.

Authors:  Isadora Lopes Alves; Fiona Heeman; Lyduine E Collij; Gemma Salvadó; Nelleke Tolboom; Natàlia Vilor-Tejedor; Pawel Markiewicz; Maqsood Yaqub; David Cash; Elizabeth C Mormino; Philip S Insel; Ronald Boellaard; Bart N M van Berckel; Adriaan A Lammertsma; Frederik Barkhof; Juan Domingo Gispert
Journal:  Alzheimers Res Ther       Date:  2021-04-19       Impact factor: 6.982

8.  Improved amyloid burden quantification with nonspecific estimates using deep learning.

Authors:  Haohui Liu; Ying-Hwey Nai; Francis Saridin; Tomotaka Tanaka; Jim O' Doherty; Saima Hilal; Bibek Gyanwali; Christopher P Chen; Edward G Robins; Anthonin Reilhac
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-01-07       Impact factor: 9.236

Review 9.  Aducanumab and Its Effects on Tau Pathology: Is This the Turning Point of Amyloid Hypothesis?

Authors:  Serena Silvestro; Andrea Valeri; Emanuela Mazzon
Journal:  Int J Mol Sci       Date:  2022-02-11       Impact factor: 5.923

10.  AMYQ: An index to standardize quantitative amyloid load across PET tracers.

Authors:  Jordi Pegueroles; Victor Montal; Alexandre Bejanin; Eduard Vilaplana; Mateus Aranha; Miguel Angel Santos-Santos; Daniel Alcolea; Ignasi Carrió; Valle Camacho; Rafael Blesa; Alberto Lleó; Juan Fortea
Journal:  Alzheimers Dement       Date:  2021-04-02       Impact factor: 21.566

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