Amyloid and Glucose PET Imaging in Alzheimer and Vascular Cognitive Impairment Patients With Significant White Matter Disease
NCT ID: NCT02330510
Last Updated: 2024-12-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
80 participants
OBSERVATIONAL
2014-08-31
2024-12-10
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
The design of this study includes recruitment of two cohorts, including Mild Cognitive Impairment (MCI) and/or early Alzheimer Disease subjects from memory clinics and subjects with strokes/TIA from stroke prevention clinics. Inclusion criteria include the presence of moderate/extensive white matter disease, eg. Fazekas score of 2 (with confluent peri-ventricular hyperintensities) or Fazekas score of 3, as determined by previous MR or CT, \> 60 years of age, Mini-Mental Status Exam (MMSE) scores ≥ 20. Subjects will undergo 3T structural MRI (including T1, PD/T2, FLAIR, GRE, DTI, ASL, and resting state fMRI), glucose PET, amyloid PET (using AV-45 florbetapir) and neuropsychological testing, as well as blood sampling. Repeat MR and PET/CT imaging and neuropsychological testing will be conducted at 24 months. The follow up assessments can also be completed at either year 1 or year 3 or Year 4 depending on the availability of study participants. The imaging portion is designed to closely parallel the Alzheimer's Disease Neuroimaging Initiative (ADNI) in order to benefit from the availability of both cognitively normal controls (NC), MCI and Alzheimer's disease subjects with minimal WMD.
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Three imaging modalities will be used with each participant. 3 Telsa MRI scans will be acquired, using an ADNI based protocol, except for the addition of a PD/T2 interleved sequence. Participants will also undergo 18-fluoro PET with the AVID-45 ligand and 18-fluorodeoxyglucose PET using the ADNI protocols.
The primary objectives are to characterize at baseline and 2-year follow-up in patients with significant Periventricular White Matter Hyperintensities (pvWMH), presenting as transient cerebrovascular events or memory problems, patterns of: 1. Uptake of amyloid on Florbetapir F-18 PET/CT 2. Glucose uptake on 18F-FDG PET/CT 3. Volumetric measures of brain structure on MRI imaging 4. Performance on standard neuropsychological assessments, activities of daily living and gait speed.
Secondary objectives are to: 1. Compare the relationship between amyloid brain uptake, pvWMH volumes, and cognitive scores in patients with significant pvWMH and a control group of individuals that are cognitively normal, MCI or AD, with mild pvWMH, identified from the ADNI database. 2. Examine the relationship between amyloid uptake, ApoE e4 genotype, and structural MRI volumes in patients with a high burden of pvWMH. 3. Evaluate the utility of baseline brain amyloid to predict cognitive decline and increases in pvWMH volume at 2 years follow up. 4. Evaluate the safety of a single intravenous dose of Florbetapir F 18 Injection (370 MBq +/- 10%) in subjects with significant pvWMH.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Keywords
Explore important study keywords that can help with search, categorization, and topic discovery.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
Alzheimer's Disease
Individuals with early Alzheimer's Disease (AD) or amnestic or multi-domain Mild Cognitive Impairment who have extensive Periventricular White Matter Hyperintensities
No interventions assigned to this group
Transient Ischemic Attack/Mild Subcortical Stroke
Individuals who have had a mild subcortical stroke or a Transient Ischemic Attack (TIA) with extensive Periventricular White Matter Hyperintensities in the absence of cortical infarcts
No interventions assigned to this group
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. Age ≥ 60
3. Patients who have provided written informed consent
4. Patients with greater than 8 years of education
5. Patients with an expected survival of greater than 2 years
6. Patients that are sufficient fluency in French or English for cognitive testing
7. Patients with a Mini-Mental State Exam score of (MMSE) ≥ 20
8. Patients with pvWMH score on CT or MRI of ≥2 on the periventricular Fazekas scale 31 NOTE: Fazekas 2 patients can be included if they have bilateral posterior or anterior periventricular caps extending only 10mm from the ventricle (i.e. halfway into the surrounding white matter vs extending out to most of the surrounding white matter required for Fazekas 3)
Exclusion Criteria
2. Patients with cortical or non-lacunar infarct on imaging
3. Patients with persisting hemiparesis after a motor stroke, leg strength \<4/5 on the Medical Research Council (MRC) scale; significant cerebellar ataxia
4. Patients with contraindications to 3T MRI
5. Patients with major psychiatric disorder during the preceding 5 years
6. History of substance abuse within the past 2 years
7. Serious/chronic systemic or neurological illness (other than AD) such as Parkinson's disease, multi-infarct dementia, Huntington's disease, normal pressure hydrocephalus, brain tumor, progressive supranuclear palsy, seizure disorder, subdural hematoma, multiple sclerosis, or history of significant head trauma followed by persistent neurologic deficits or known structural brain abnormalities
8. Pain or sleep disorder that could interfere with testing
9. Claustrophobia
10. Patients that have received radiation therapy to the head or neck or have been in another research study involving radiation
11. Patients who are unable or unwilling to comply with protocol requirements or deemed by the investigator to be unfit for the study.
60 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Dr. Sandra E Black
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Dr. Sandra E Black
Principal Investigator
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Sandra E. Black, MD
Role: PRINCIPAL_INVESTIGATOR
Sunnybrook Health Sciences Centre
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
University of Alberta Health Services
Calgary, Alberta, Canada
University of British Columbia Hospital
Vancouver, British Columbia, Canada
Hamilton General Hospital
Hamilton, Ontario, Canada
Parkwood Hospital St. Joseph's Health Care
London, Ontario, Canada
Sunnybrook Health Sciences Centre
Toronto, Ontario, Canada
Jewish General Hospital
Montreal, Quebec, Canada
CHU de Sherbrooke
Québec, Quebec, Canada
CHU de Quebec
Québec, Quebec, Canada
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
Xhima K, Ottoy J, Gibson E, Zukotynski K, Scott C, Feliciano GJ, Adamo S, Kuo PH, Borrie MJ, Chertkow H, Frayne R, Laforce R Jr, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Sossi V, Thiel A, Soucy JP, Tardif JC, Goubran M, Black SE, Ramirez J; Medical Imaging Trials Network of Canada (MITNEC). Distinct spatial contributions of amyloid pathology and cerebral small vessel disease to hippocampal morphology. Alzheimers Dement. 2024 May;20(5):3687-3695. doi: 10.1002/alz.13791. Epub 2024 Apr 4.
Boone L, Biparva M, Mojiri Forooshani P, Ramirez J, Masellis M, Bartha R, Symons S, Strother S, Black SE, Heyn C, Martel AL, Swartz RH, Goubran M. ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI. Neuroimage. 2023 Sep;278:120289. doi: 10.1016/j.neuroimage.2023.120289. Epub 2023 Jul 24.
Ottoy J, Ozzoude M, Zukotynski K, Kang MS, Adamo S, Scott C, Ramirez J, Swardfager W, Lam B, Bhan A, Mojiri P, Kiss A, Strother S, Bocti C, Borrie M, Chertkow H, Frayne R, Hsiung R, Laforce RJ, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Kuo PH, Chad JA, Pasternak O, Sossi V, Thiel A, Soucy JP, Tardif JC, Black SE, Goubran M; Medical Imaging Trials Network of Canada (MITNEC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Amyloid-PET of the white matter: Relationship to free water, fiber integrity, and cognition in patients with dementia and small vessel disease. J Cereb Blood Flow Metab. 2023 Jun;43(6):921-936. doi: 10.1177/0271678X231152001. Epub 2023 Jan 25.
Ottoy J, Ozzoude M, Zukotynski K, Adamo S, Scott C, Gaudet V, Ramirez J, Swardfager W, Cogo-Moreira H, Lam B, Bhan A, Mojiri P, Kang MS, Rabin JS, Kiss A, Strother S, Bocti C, Borrie M, Chertkow H, Frayne R, Hsiung R, Laforce RJ, Noseworthy MD, Prato FS, Sahlas DJ, Smith EE, Kuo PH, Sossi V, Thiel A, Soucy JP, Tardif JC, Black SE, Goubran M; Medical Imaging Trial Network of Canada (MITNEC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Vascular burden and cognition: Mediating roles of neurodegeneration and amyloid PET. Alzheimers Dement. 2023 Apr;19(4):1503-1517. doi: 10.1002/alz.12750. Epub 2022 Sep 1.
Mojiri Forooshani P, Biparva M, Ntiri EE, Ramirez J, Boone L, Holmes MF, Adamo S, Gao F, Ozzoude M, Scott CJM, Dowlatshahi D, Lawrence-Dewar JM, Kwan D, Lang AE, Marcotte K, Leonard C, Rochon E, Heyn C, Bartha R, Strother S, Tardif JC, Symons S, Masellis M, Swartz RH, Moody A, Black SE, Goubran M. Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation. Hum Brain Mapp. 2022 May;43(7):2089-2108. doi: 10.1002/hbm.25784. Epub 2022 Jan 28.
Ntiri EE, Holmes MF, Forooshani PM, Ramirez J, Gao F, Ozzoude M, Adamo S, Scott CJM, Dowlatshahi D, Lawrence-Dewar JM, Kwan D, Lang AE, Symons S, Bartha R, Strother S, Tardif JC, Masellis M, Swartz RH, Moody A, Black SE, Goubran M. Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs. Neuroinformatics. 2021 Oct;19(4):597-618. doi: 10.1007/s12021-021-09510-1. Epub 2021 Feb 1.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
Ml1-112246
Identifier Type: -
Identifier Source: org_study_id