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Jutkowitz E, Shewmaker P, Ford CB, Smith VA, O'Brien E, Shepherd-Banigan M, Belanger E, Plassman BL, Burke JR, Van Houtven CH, Wetle T. Association between results of an amyloid PET scan and healthcare utilization in individuals with cognitive impairment. J Am Geriatr Soc 2024; 72:707-717. [PMID: 38069618 DOI: 10.1111/jgs.18696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 10/15/2023] [Accepted: 11/05/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND The Imaging Dementia Evidence for Amyloid Scanning (IDEAS) study reports that amyloid PET scans help providers diagnose and manage Alzheimer's disease and related dementias (ADRD). Using CARE-IDEAS, an IDEAS supplemental study, we examined the association between amyloid PET scan result (elevated or non-elevated amyloid), patient characteristics, and participant healthcare utilization. METHODS We linked respondents in CARE-IDEAS study to their Medicare fee-for-service records (n = 1333). We examined participants' cognitive impairment-related, outpatient, emergency department (ED), and inpatient encounters in the year before compared with the 2 years after the amyloid PET scan. RESULTS Individuals with a non-elevated amyloid scan had more healthcare encounters throughout the overall study period than those with an elevated amyloid scan. Regardless of the amyloid scan result, cognitive impairment-related and outpatient encounters overall decreased, but ED and inpatient encounters increased in the 2 years after the scan compared with the year prior. There was minimal evidence of differences in healthcare utilization between participants with an elevated and non-elevated amyloid scan. CONCLUSIONS There is no difference in change in healthcare utilization between people with scans showing elevated and non-elevated beta-amyloid.
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Affiliation(s)
- Eric Jutkowitz
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
- Evidence Synthesis Program Center Providence VA Medical Center, Providence, Rhode Island, USA
| | - Peter Shewmaker
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Cassie B Ford
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
| | - Valerie A Smith
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- Division of General Internal Medicine, Department of Medicine, Duke University, Durham, North Carolina, USA
| | - Emily O'Brien
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
| | - Megan Shepherd-Banigan
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- Duke Margolis Health Policy Center, Duke University, Durham, North Carolina, USA
| | - Emmanuelle Belanger
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Brenda L Plassman
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
| | - James R Burke
- Department of Neurology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Courtney H Van Houtven
- Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Health Care System, Durham, North Carolina, USA
- Duke Margolis Health Policy Center, Duke University, Durham, North Carolina, USA
| | - Terrie Wetle
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island, USA
- Center for Gerontology and Healthcare Research, Brown University School of Public Health, Providence, Rhode Island, USA
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2
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Carlos AF, Josephs KA. The Role of Clinical Assessment in the Era of Biomarkers. Neurotherapeutics 2023; 20:1001-1018. [PMID: 37594658 PMCID: PMC10457273 DOI: 10.1007/s13311-023-01410-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 08/19/2023] Open
Abstract
Hippocratic Medicine revolved around the three main principles of patient, disease, and physician and promoted the systematic observation of patients, rational reasoning, and interpretation of collected information. Although these remain the cardinal features of clinical assessment today, Medicine has evolved from a more physician-centered to a more patient-centered approach. Clinical assessment allows physicians to encounter, observe, evaluate, and connect with patients. This establishes the patient-physician relationship and facilitates a better understanding of the patient-disease relationship, as the ultimate goal is to diagnose, prognosticate, and treat. Biomarkers are at the core of the more disease-centered approach that is currently revolutionizing Medicine as they provide insight into the underlying disease pathomechanisms and biological changes. Genetic, biochemical, radiographic, and clinical biomarkers are currently used. Here, we define a seven-level theoretical construct for the utility of biomarkers in neurodegenerative diseases. Level 1-3 biomarkers are considered supportive of clinical assessment, capable of detecting susceptibility or risk factors, non-specific neurodegeneration or dysfunction, and/or changes at the individual level which help increase clinical diagnostic accuracy and confidence. Level 4-7 biomarkers have the potential to surpass the utility of clinical assessment through detection of early disease stages and prediction of underlying pathology. In neurodegenerative diseases, biomarkers can potentiate, but cannot substitute, clinical assessment. In this current era, aside from adding to the discovery, evaluation/validation, and implementation of more biomarkers, clinical assessment remains crucial to maintaining the personal, humanistic, and sociocultural aspects of patient care. We would argue that clinical assessment is a custom that should never go obsolete.
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Affiliation(s)
- Arenn F Carlos
- Department of Neurology, Mayo Clinic, 200 1st St. S.W., Rochester, MN, 55905, USA.
| | - Keith A Josephs
- Department of Neurology, Mayo Clinic, 200 1st St. S.W., Rochester, MN, 55905, USA
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3
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Bergeron D, Beauregard JM, Soucy JP, Verret L, Poulin S, Matias-Guiu JA, Cabrera-Martín MN, Bouchard RW, Laforce R. Posterior Cingulate Cortex Hypometabolism in Non-Amnestic Variants of Alzheimer's Disease. J Alzheimers Dis 2021; 77:1569-1577. [PMID: 32925054 DOI: 10.3233/jad-200567] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Hypometabolism of the posterior cingulate cortex (PCC) is an important diagnostic feature of late-onset, amnestic Alzheimer's disease (AD) measured with 18F-fluorodeoxyglucose positron emission tomography (FDG-PET). However, it is unclear whether PCC hypometabolism has diagnostic value in young-onset, non-amnestic variants of AD, which exhibit less pathology in the hippocampus and default mode network. OBJECTIVE Evaluate the prevalence and diagnostic value of PCC hypometabolism in non-amnestic variants of AD. METHODS We retrospectively identified 60 patients with young-onset, atypical dementia who have undergone a detailed clinical evaluation, FDG-PET, and an amyloid biomarker (amyloid-PET or cerebrospinal fluid analysis). We quantitatively analyzed regional hypometabolism in 70 regions of interest (ROI) using the MIMneuro® software. RESULTS Based on a cut-off of z-score < -1.5 for significant PCC hypometabolism, the prevalence of PCC hypometabolism in non-amnestic variants of AD was 65% compared to 28% in clinical variants of frontotemporal dementia (FTD). The ROI with the maximal hypometabolism was the dominant middle temporal gyrus in the language variant of AD (mean z score -2.28), middle occipital gyrus in PCA (-3.24), middle temporal gyrus in frontal AD (-2.70), and angular gyrus in corticobasal syndrome due to AD (-2.31). The PCC was not among the 10 most discriminant regions between non-amnestic variants of AD versus clinical variants of FTD. CONCLUSION We conclude that PCC hypometabolism is not a discriminant feature to distinguish non-amnestic variants of AD from clinical variants of FTD-and should be interpreted with caution in patients with young-onset, non-amnestic dementia.
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Affiliation(s)
- David Bergeron
- Clinique Interdisciplinaire de Mémoire (CIME) du CHU de Québec, Québec, Canada
| | | | - Jean-Paul Soucy
- Department of Nuclear Medicine, Montreal Neurological Institute (MNI), Montreal Neurological Institute, McGill University, Montreal, Canada
| | - Louis Verret
- Clinique Interdisciplinaire de Mémoire (CIME) du CHU de Québec, Québec, Canada
| | - Stéphane Poulin
- Clinique Interdisciplinaire de Mémoire (CIME) du CHU de Québec, Québec, Canada
| | - Jordi A Matias-Guiu
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - María Nieves Cabrera-Martín
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - Rémi W Bouchard
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME) du CHU de Québec, Québec, Canada
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4
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Damian A, Portugal F, Niell N, Quagliata A, Bayardo K, Alonso O, Ferrando R. Clinical Impact of PET With 18F-FDG and 11C-PIB in Patients With Dementia in a Developing Country. Front Neurol 2021; 12:630958. [PMID: 34017300 PMCID: PMC8129494 DOI: 10.3389/fneur.2021.630958] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 04/06/2021] [Indexed: 12/03/2022] Open
Abstract
Introduction: The objective of this study was to evaluate the clinical impact PET with 18F-FDG and 11C-PIB in patients with dementia in a developing country. Methodology: Retrospective study of the patients referred for the evaluation of dementia to the only PET center in Uruguay. A total of 248 patients were identified, from which 70 patients were included based on the availability of medical history and clinical follow-up. Main outcomes included change in diagnosis, diagnostic dilemma and AD treatment. We evaluated the association of clinical outcomes with PET concordance with baseline diagnosis, diagnostic dilemma, level of education, AD pathology/Non-AD pathology (AD/Non-AD), baseline diagnosis and 11C-PIB PET result. Results: Baseline clinical diagnosis was concordant with 18F-FDG and 11C-PIB PET results in 64.7 and 77.1% of the patients, respectively. Change in diagnosis after PET was identified in 30.0% of the patients and was associated with discordant 18F-FDG (p = 0.002) and 11C-PIB (p < 0.001) PET results, previous diagnostic dilemma (p = 0.005), low education (p = 0.027), Non-AD baseline diagnosis (p = 0.027), and negative 11C-PIB PET result (p < 0.001). Only the last variable remained significant in the multivariate analysis (adjusted p = 0.038). Diagnostic dilemma decreased after PET from 15.7 to 7.1% (p = 0.11) and was associated with Non-AD diagnosis (p = 0.002) and negative 11C-PIB PET result (p = 0.003). Change in AD treatment after PET occurred in 45.7% of the patients. Conclusion:18F-FDG and 11C-PIB PET had a significant clinical impact in terms of change in diagnosis and treatment in patients with dementia in a developing country, similar to that reported in high-income countries.
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Affiliation(s)
- Andres Damian
- Centro Uruguayo de Imagenología Molecular (CUDIM), Montevideo, Uruguay.,Centro de Medicina Nuclear e Imagenología Molecular, Hospital de Clínicas, Universidad de la República (UdelaR), Montevideo, Uruguay
| | - Fabiola Portugal
- Centro de Medicina Nuclear e Imagenología Molecular, Hospital de Clínicas, Universidad de la República (UdelaR), Montevideo, Uruguay
| | - Nicolas Niell
- Centro Uruguayo de Imagenología Molecular (CUDIM), Montevideo, Uruguay.,Centro de Medicina Nuclear e Imagenología Molecular, Hospital de Clínicas, Universidad de la República (UdelaR), Montevideo, Uruguay
| | - Adriana Quagliata
- Centro Uruguayo de Imagenología Molecular (CUDIM), Montevideo, Uruguay
| | - Karina Bayardo
- Centro de Medicina Nuclear e Imagenología Molecular, Hospital de Clínicas, Universidad de la República (UdelaR), Montevideo, Uruguay
| | - Omar Alonso
- Centro Uruguayo de Imagenología Molecular (CUDIM), Montevideo, Uruguay.,Centro de Medicina Nuclear e Imagenología Molecular, Hospital de Clínicas, Universidad de la República (UdelaR), Montevideo, Uruguay
| | - Rodolfo Ferrando
- Centro Uruguayo de Imagenología Molecular (CUDIM), Montevideo, Uruguay.,Centro de Medicina Nuclear e Imagenología Molecular, Hospital de Clínicas, Universidad de la República (UdelaR), Montevideo, Uruguay
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5
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Outcomes of clinical utility in amyloid-PET studies: state of art and future perspectives. Eur J Nucl Med Mol Imaging 2021; 48:2157-2168. [PMID: 33594474 PMCID: PMC8175294 DOI: 10.1007/s00259-020-05187-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 12/28/2020] [Indexed: 12/15/2022]
Abstract
PURPOSE To review how outcomes of clinical utility are operationalized in current amyloid-PET validation studies, to prepare for formal assessment of clinical utility of amyloid-PET-based diagnosis. METHODS Systematic review of amyloid-PET research studies published up to April 2020 that included outcomes of clinical utility. We extracted and analyzed (a) outcome categories, (b) their definition, and (c) their methods of assessment. RESULTS Thirty-two studies were eligible. (a) Outcome categories were clinician-centered (found in 25/32 studies, 78%), patient-/caregiver-centered (in 9/32 studies, 28%), and health economics-centered (5/32, 16%). (b) Definition: Outcomes were mainly defined by clinical researchers; only the ABIDE study expressly included stakeholders in group discussions. Clinician-centered outcomes mainly consisted of incremental diagnostic value (25/32, 78%) and change in patient management (17/32, 53%); patient-/caregiver-centered outcomes considered distress after amyloid-pet-based diagnosis disclosure (8/32, 25%), including quantified burden of procedure for patients' outcomes (n = 8) (1/8, 12.5%), impact of disclosure of results (6/8, 75%), and psychological implications of biomarker-based diagnosis (75%); and health economics outcomes focused on costs to achieve a high-confidence etiological diagnosis (5/32, 16%) and impact on quality of life (1/32, 3%). (c) Assessment: all outcome categories were operationalized inconsistently across studies, employing 26 different tools without formal rationale for selection. CONCLUSION Current studies validating amyloid-PET already assessed outcomes for clinical utility, although non-clinician-based outcomes were inconsistent. A wider participation of stakeholders may help produce a more thorough and systematic definition and assessment of outcomes of clinical utility and help collect evidence informing decisions on reimbursement of amyloid-PET.
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Bao YW, Chau ACM, Chiu PKC, Shea YF, Kwan JSK, Chan FHW, Mak HKF. Heterogeneity of Amyloid Binding in Cognitively Impaired Patients Consecutively Recruited from a Memory Clinic: Evaluating the Utility of Quantitative 18F-Flutemetamol PET-CT in Discrimination of Mild Cognitive Impairment from Alzheimer's Disease and Other Dementias. J Alzheimers Dis 2021; 79:819-832. [PMID: 33361593 PMCID: PMC7902948 DOI: 10.3233/jad-200890] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND With the more widespread use of 18F-radioligand-based amyloid-β (Aβ) PET-CT imaging, we evaluated Aβ binding and the utility of neocortical 18F-Flutemetamol standardized uptake value ratio (SUVR) as a biomarker. OBJECTIVE 18F-Flutemetamol SUVR was used to differentiate 1) mild cognitive impairment (MCI) from Alzheimer's disease (AD), and 2) MCI from other non-AD dementias (OD). METHODS 109 patients consecutively recruited from a University memory clinic underwent clinical evaluation, neuropsychological test, MRI and 18F-Flutemetamol PET-CT. The diagnosis was made by consensus of a panel consisting of 1 neuroradiologist and 2 geriatricians. The final cohort included 13 subjective cognitive decline (SCD), 22 AD, 39 MCI, and 35 OD. Quantitative analysis of 16 region-of-interests made by Cortex ID software (GE Healthcare). RESULTS The global mean 18F-Flutemetamol SUVR in SCD, MCI, AD, and OD were 0.50 (SD-0.08), 0.53 (SD-0.16), 0.76 (SD-0.10), and 0.56 (SD-0.16), respectively, with SUVR in SCD and MCI and OD being significantly lower than AD. Aβ binding in SCD, MCI, and OD was heterogeneous, being 23%, 38.5%, and 42.9% respectively, as compared to 100% amyloid positivity in AD. Using global SUVR, ROC analysis showed AUC of 0.868 and 0.588 in differentiating MCI from AD and MCI from OD respectively. CONCLUSION 18F-Flutemetamol SUVR differentiated MCI from AD with high efficacy (high negative predictive value), but much lower efficacy from OD. The major benefit of the test was to differentiate cognitively impaired patients (either SCD, MCI, or OD) without AD-related-amyloid-pathology from AD in the clinical setting, which was under-emphasized in the current guidelines proposed by Amyloid Imaging Task Force.
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Affiliation(s)
- Yi-Wen Bao
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Anson C M Chau
- Department of Medical Imaging, The University of Hong Kong (Shenzhen) Teaching Hospital , The University of Hong Kong, Hong Kong SAR, China
| | - Patrick Ka-Chun Chiu
- Division of Geriatrics, Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - Yat Fung Shea
- Division of Geriatrics, Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - Joseph S K Kwan
- Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Felix Hon Wai Chan
- Division of Geriatrics, Department of Medicine, Queen Mary Hospital, Hong Kong SAR, China
| | - Henry Ka-Fung Mak
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
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7
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Moon S, Kim S, Mankhong S, Choi SH, Vandijck M, Kostanjevecki V, Jeong JH, Yoon SJ, Park KW, Kim EJ, Yoon B, Kim HJ, Jang JW, Hong JY, Park DH, Shaw LM, Kang JH. Alzheimer's cerebrospinal biomarkers from Lumipulse fully automated immunoassay: concordance with amyloid-beta PET and manual immunoassay in Koreans : CSF AD biomarkers measured by Lumipulse in Koreans. ALZHEIMERS RESEARCH & THERAPY 2021; 13:22. [PMID: 33436035 PMCID: PMC7802266 DOI: 10.1186/s13195-020-00767-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2020] [Accepted: 12/29/2020] [Indexed: 12/14/2022]
Abstract
Background Alzheimer’s disease (AD) cerebrospinal fluid (CSF) biomarker cutoffs from immunoassays with low interlaboratory variability in diverse ethnic groups are necessary for their use in clinics and clinical trials. With lack of cutoffs from fully automated immunoassay platforms in diverse races, the aim of this study is to evaluate the clinical utility of CSF AD biomarkers from the Lumipulse fully automated immunoassay based on β-amyloid (Aβ) positron emission tomography (PET) status comparing with these from two manual immunoassays, in Koreans. Methods Among 331 Korean participants enrolled from a prospective, 3-year longitudinal observational study of the validation cohort of Korean Brain Aging Study for the Early Diagnosis and Prediction of AD, 139 (29 CN, 58 SCD, 29 MCI, and 23 AD) provided CSF and 271 underwent baseline amyloid PET (n = 128 with overlapping CSF and Aβ-PET, and 143 without CSFs). Three annual cognitive and neuropsychiatric function tests were conducted. Aβ42, Aβ40, total-tau, and phosphorylated-tau181 were measured by Lumipulse fully automated immunoassay and two manual immunoassays (INNO-BIA AlzBio3, INNOTEST). Clinical utility of CSF biomarker cutoffs, based on 128 participants with Aβ-PET, was evaluated. Results Cognitive and neuropsychological scores differed significantly among the groups, with descending performance among CN>SCD>MCI>AD. Biomarker levels among immunoassays were strongly intercorrelated. We determined the Aβ-PET status in a subgroup without CSF (n = 143), and then when we applied CSF biomarker cutoffs determined based on the Aβ-PET status, the CSF biomarkers (cutoffs of 642.1 pg/mL for Aβ42, 0.060 for Aβ42/Aβ40, 0.315 for t-tau/Aβ42, and 0.051 for p-tau/Aβ42, respectively) showed good agreement with Aβ-PET (overall AUC ranges of 0.840–0.898). Use of the Aβ-PET-based CSF cutoffs showed excellent diagnostic discrimination between AD and CN (Aβ42, Aβ42/Aβ40, t-tau/Aβ42, and p-tau/Aβ42) with overall AUC ranges of 0.876–0.952. During follow-up, participants with AD-like CSF signature determined by Aβ-PET-based cutoffs from Lumipulse showed rapid progression of cognitive decline in 139 subjects, after adjustment for potential confounders, compared with those with a normal CSF signature. Conclusion CSF AD biomarkers measured by different immunoassay platforms show strong intercorrelated agreement with Aβ-PET in Koreans. The Korean-specific Aβ-PET-based CSF biomarker cutoffs measured by the Lumipulse assay strongly predicts progression of cognitive decline. The clinical utility of CSF biomarkers from fully-automated immunoassay platforms should be evaluated in larger, more diverse cohorts.
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Affiliation(s)
- Sohee Moon
- Department of Pharmacology and Hypoxia-related Disease Research Center, College of Medicine, Inha University, Room 1015, 60th Anniversary Hall, 100, Inha-ro, Nam-gu, Incheon, 22212, South Korea
| | - Sujin Kim
- Department of Pharmacology and Hypoxia-related Disease Research Center, College of Medicine, Inha University, Room 1015, 60th Anniversary Hall, 100, Inha-ro, Nam-gu, Incheon, 22212, South Korea.,Department of Kinesiology, Inha University, Incheon, 22212, South Korea
| | - Sakulrat Mankhong
- Department of Pharmacology and Hypoxia-related Disease Research Center, College of Medicine, Inha University, Room 1015, 60th Anniversary Hall, 100, Inha-ro, Nam-gu, Incheon, 22212, South Korea.,Program in Biomedical Science and Engineering, Inha University, Incheon, 22212, South Korea
| | - Seong Hye Choi
- Department of Neurology, College of Medicine, Inha University, Incheon, 22332, South Korea
| | - Manu Vandijck
- Fujirebio-Europe N.V., Technologiepark 6, 9052, Ghent, Belgium
| | | | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, 07985, South Korea
| | - Soo Jin Yoon
- Department of Neurology, Eulji University Hospital, Eulji University School of Medicine, Daejeon, 35233, South Korea
| | - Kyung Won Park
- Department of Neurology, Dong-A Medical Center, Dong-A University College of Medicine, Busan, 49201, South Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, 49241, South Korea
| | - Bora Yoon
- Department of Neurology, Konyang University College of Medicine, Daejeon, 35365, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Chuncheon, 24289, South Korea
| | - Jin Yong Hong
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, 26426, South Korea
| | - Dong-Ho Park
- Department of Kinesiology, Inha University, Incheon, 22212, South Korea
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, 19104, PA, USA
| | - Ju-Hee Kang
- Department of Pharmacology and Hypoxia-related Disease Research Center, College of Medicine, Inha University, Room 1015, 60th Anniversary Hall, 100, Inha-ro, Nam-gu, Incheon, 22212, South Korea. .,Program in Biomedical Science and Engineering, Inha University, Incheon, 22212, South Korea.
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8
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Pozueta A, Lage C, García-Martínez M, Kazimierczak M, Bravo M, López-García S, Riancho J, González-Suarez A, Vázquez-Higuera JL, de Arcocha-Torres M, Banzo I, Jiménez-Bonilla J, Berciano J, Rodríguez-Rodríguez E, Sánchez-Juan P. Cognitive and Behavioral Profiles of Left and Right Semantic Dementia: Differential Diagnosis with Behavioral Variant Frontotemporal Dementia and Alzheimer's Disease. J Alzheimers Dis 2020; 72:1129-1144. [PMID: 31683488 DOI: 10.3233/jad-190877] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND Semantic dementia (SD) is a subtype of frontotemporal dementia (FTD) characterized by semantic memory loss and preserved abilities of other cognitive functions. The clinical manifestations of SD require a differential diagnosis with Alzheimer's disease (AD), especially those with early onset, and behavioral variant FTD (bvFTD). OBJECTIVE The present study aimed to compare cognitive performances and neuropsychiatric symptoms in a population of AD, bvFTD, and left and right SD defined with the support of molecular imaging (amyloid and 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography) and assessed the accuracy of different neuropsychological markers in distinguishing these neurodegenerative diseases. METHODS Eighty-seven participants (32 AD, 20 bvFTD, and 35 SD (17 Left-SD and 18 Right-SD) completed a comprehensive neuropsychological battery that included memory, language, attention and executive functions, visuospatial function, visuoconstructional skills, and tasks designed specifically to evaluate prosopagnosia and facial emotions recognition. The Neuropsychiatric Inventory was administered to assess neuropsychiatric symptoms. RESULTS An episodic memory test that included semantic cues, a visuospatial test (both impaired in AD), a naming test and a prosopagnosia task (both impaired in SD) were the four most valuable cognitive metrics for the differential diagnosis between groups. Several behavioral abnormalities were differentially present, of which aggression, self-care (both more frequent in bvFTD), and eating habits, specifically overeating and altered dietary preference (more frequent in SD), were the most valuable in group discrimination. CONCLUSION Our study highlights the value of a comprehensive neuropsychological and neuropsychiatric evaluation for the differential diagnosis between FTD syndromes and AD.
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Affiliation(s)
- Ana Pozueta
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Carmen Lage
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - María García-Martínez
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Martha Kazimierczak
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - María Bravo
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Sara López-García
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Javier Riancho
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Sierrallana, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Andrea González-Suarez
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - José Luis Vázquez-Higuera
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - María de Arcocha-Torres
- Department of Nuclear Medicine, University Hospital 'Marqués de Valdecilla', University of Cantabria, Molecular imaging Group - IDIVAL, Santander, Spain
| | - Ignacio Banzo
- Department of Nuclear Medicine, University Hospital 'Marqués de Valdecilla', University of Cantabria, Molecular imaging Group - IDIVAL, Santander, Spain
| | - Julio Jiménez-Bonilla
- Department of Nuclear Medicine, University Hospital 'Marqués de Valdecilla', University of Cantabria, Molecular imaging Group - IDIVAL, Santander, Spain
| | - José Berciano
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Eloy Rodríguez-Rodríguez
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Pascual Sánchez-Juan
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
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9
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Kolanko MA, Win Z, Loreto F, Patel N, Carswell C, Gontsarova A, Perry RJ, Malhotra PA. Amyloid PET imaging in clinical practice. Pract Neurol 2020; 20:451-462. [PMID: 32973035 DOI: 10.1136/practneurol-2019-002468] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2020] [Indexed: 02/07/2023]
Abstract
Amyloid positron emission tomography (PET) imaging enables in vivo detection of brain Aβ deposition, one of the neuropathological hallmarks of Alzheimer's disease. There is increasing evidence to support its clinical utility, with major studies showing that amyloid PET imaging improves diagnostic accuracy, increases diagnostic certainty and results in therapeutic changes. The Amyloid Imaging Taskforce has developed appropriate use criteria to guide clinicians by predefining certain scenarios where amyloid PET would be justified. This review provides a practical guide on how and when to use amyloid PET, based on the available research and our own experience. We discuss its three main appropriate indications and illustrate these with clinical cases. We stress the importance of a multidisciplinary approach when deciding who might benefit from amyloid PET imaging. Finally, we highlight some practical points and common pitfalls in its interpretation.
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Affiliation(s)
- Magdalena A Kolanko
- Department of Brain Sciences, Imperial College London, London, UK.,Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Flavia Loreto
- Department of Brain Sciences, Imperial College London, London, UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Christopher Carswell
- Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK.,Department of Neurology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK
| | | | - Richard J Perry
- Department of Brain Sciences, Imperial College London, London, UK.,Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK
| | - Paresh A Malhotra
- Department of Brain Sciences, Imperial College London, London, UK .,Department of Clinical Neurosciences, Imperial College Healthcare NHS Trust, London, UK.,UK Dementia Research Institute Care Research and Technology Centre, Imperial College London and the University of Surrey, UK
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10
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Ashford MT, Neuhaus J, Jin C, Camacho MR, Fockler J, Truran D, Mackin RS, Rabinovici GD, Weiner MW, Nosheny RL. Predicting amyloid status using self-report information from an online research and recruitment registry: The Brain Health Registry. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12102. [PMID: 33005723 PMCID: PMC7513627 DOI: 10.1002/dad2.12102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 07/30/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION This study aimed to predict brain amyloid beta (Aβ) status in older adults using collected information from an online registry focused on cognitive aging. METHODS Aβ positron emission tomography (PET) was obtained from multiple in-clinic studies. Using logistic regression, we predicted Aβ using self-report variables collected in the Brain Health Registry in 634 participants, as well as a subsample (N = 533) identified as either cognitively unimpaired (CU) or mild cognitive impairment (MCI). Cross-validated area under the curve (cAUC) evaluated the predictive performance. RESULTS The best prediction model included age, sex, education, subjective memory concern, family history of Alzheimer's disease, Geriatric Depression Scale Short-Form, self-reported Everyday Cognition, and self-reported cognitive impairment. The cross-validated AUCs ranged from 0.62 to 0.66. This online model could help reduce between 15.2% and 23.7% of unnecessary Aβ PET scans in CU and MCI populations. DISUCSSION The findings suggest that a novel, online approach could aid in Aβ prediction.
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Affiliation(s)
- Miriam T. Ashford
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - John Neuhaus
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Chengshi Jin
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Monica R. Camacho
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Juliet Fockler
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diana Truran
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - R. Scott Mackin
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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11
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Evaluation of choroidal thickness in prodromal Alzheimer's disease defined by amyloid PET. PLoS One 2020; 15:e0239484. [PMID: 32956392 PMCID: PMC7505462 DOI: 10.1371/journal.pone.0239484] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 09/07/2020] [Indexed: 12/27/2022] Open
Abstract
Objective To assess and compare the involvement of choroidal thickness (CT) in patients with mild cognitive impairment (MCI) and dementia due to Alzheimer’s disease (AD) defined by amyloid PET and healthy controls (HC). Methods Sixty-three eyes from 34 AD patients [12 eyes (19.0%) with dementia and 51 eyes (80.9%) with MCI], positive to 11C-labelled Pittsburgh Compound-B with positron emission tomography (11C-PiB PET/CT), and the same number of sex- and age-paired HC were recruited. All participants underwent enhanced depth imaging optical coherence tomography (EDI-OCT) assessing CT at 14 measurements from 2 B-scans. Paired Student t-test was used to compare CT measurements between MCI, dementia and sex- and age-paired HC. A univariate generalized estimating equations model (GEE) test was performed to compare MCI and dementia individually with all HC included. Results Compared with HC, eyes from patients with positive 11C-PiB PET/CT showed a significant CT thinning in 5 selected locations (in foveal thickness in vertical scan, in temporal scan at 1500μm, in superior scan at 500μm and in inferior scan at 1000μm and 1500μm, p = 0.020–0.045) whilst few significant CT reduction data was reported in MCI or dementia individually versus HC. However, the GEE test identified significant CT thinning in AD compared with all HC included (p = 0.015–0.046). Conclusions To our knowledge, the present study is the first measuring CT in eyes from MCI and dementia eyes positive to 11C-PiB PET/CT reporting a significant trend towards CT thinning in MCI patients which became more pronounced in dementia stage. We support further investigation involving larger and prospective OCT studies in AD population characterized with available biomarkers to describe whether choroidal vascular damage occurs specifically in prodromal stages of AD.
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12
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Li WW, Shen YY, Tian DY, Bu XL, Zeng F, Liu YH, Chen Y, Yao XQ, Li HY, Chen DW, Zhou FY, Yang H, Li QM, Bao WQ, Guan YH, Zhou HD, Jin RB, Wang YJ. Brain Amyloid-β Deposition and Blood Biomarkers in Patients with Clinically Diagnosed Alzheimer's Disease. J Alzheimers Dis 2020; 69:169-178. [PMID: 30958377 DOI: 10.3233/jad-190056] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Brain amyloid-β (Aβ) deposition is a hallmark to define Alzheimer's disease (AD). We investigated the positive rate of brain amyloid deposition assessed with 11C-Pittsburgh compound (PiB)-PET and blood Aβ levels in a cohort of probable AD patients who were diagnosed according to the 1984 NINCDS-ADRDA criteria. Eighty-four subjects with a clinical diagnosis of probable AD dementia, amnestic mild cognitive impairment (MCI), and cognitively normal (CN) status were subjected to PiB-PET and 18F-fluorodeoxyglucose (FDG)-PET scans. Plasma biomarkers of Aβ42, Aβ40, and T-tau were measured using single molecule array technology. The positive rate of PiB-PET, the associations between PiB-PET status and FDG-PET, plasma biomarkers, and clinical manifestations were analyzed. PiB-PET was positive in 77.36% of probable AD patients, 31.80% of MCI patients, and 0 of NC. Plasma Aβ42/Aβ40 ratio was associated with PiB-PET, the ROC curve analysis revealing an AUC of 0.77 (95% CI: 0.66-0.87), with a sensitivity of 82% and specificity of 64%. Some clinical manifestations were associated with PiB-PET imaging. Our findings indicate that only three-fourths of patients diagnosed with probable AD fit the pathological criteria, suggesting that we should be cautious regarding the accuracy of AD diagnosis when no biomarker evidence is available in our clinical practice.
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Affiliation(s)
- Wei-Wei Li
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Ying-Ying Shen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Ding-Yuan Tian
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Xian-Le Bu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Fan Zeng
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yu-Hui Liu
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yang Chen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Xiu-Qing Yao
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Hui-Yun Li
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Dong-Wan Chen
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Fa-Ying Zhou
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Heng Yang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Qi-Ming Li
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Wei-Qi Bao
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Yi-Hui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Hua-Dong Zhou
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Rong-Bing Jin
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, China
| | - Yan-Jiang Wang
- Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, China.,State Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, China.,Centre for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, China
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13
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Prosser A, Tossici-Bolt L, Kipps C. The impact of regional 99mTc-HMPAO single-photon-emission computed tomography (SPECT) imaging on clinician diagnostic confidence in a mixed cognitive impairment sample. Clin Radiol 2020; 75:714.e7-714.e14. [DOI: 10.1016/j.crad.2020.04.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 04/28/2020] [Indexed: 11/17/2022]
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14
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Perini G, Rodriguez-Vieitez E, Kadir A, Sala A, Savitcheva I, Nordberg A. Clinical impact of 18F-FDG-PET among memory clinic patients with uncertain diagnosis. Eur J Nucl Med Mol Imaging 2020; 48:612-622. [PMID: 32734458 PMCID: PMC7835147 DOI: 10.1007/s00259-020-04969-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 07/22/2020] [Indexed: 12/14/2022]
Abstract
Purpose To assess the clinical impact and incremental diagnostic value of 18F-fluorodeoxyglucose (FDG-PET) among memory clinic patients with uncertain diagnosis. Methods The study population consisted of 277 patients who, despite extensive baseline cognitive assessment, MRI, and CSF analyses, had an uncertain diagnosis of mild cognitive impairment (MCI) (n = 177) or dementia (n = 100). After baseline diagnosis, each patient underwent an FDG-PET, followed by a post-FDG-PET diagnosis formulation. We evaluated (i) the change in diagnosis (baseline vs. post-FDG-PET), (ii) the change in diagnostic accuracy when comparing each baseline and post-FDG-PET diagnosis to a long-term follow-up (3.6 ± 1.8 years) diagnosis used as reference, and (iii) comparative FDG-PET performance testing in MCI and dementia conditions. Results FDG-PET led to a change in diagnosis in 86 of 277 (31%) patients, in particular in 57 of 177 (32%) MCI and in 29 of 100 (29%) dementia patients. Diagnostic change was greater than two-fold in the sub-sample of cases with dementia “of unclear etiology” (change in diagnosis in 20 of 32 (63%) patients). In the dementia group, after results of FDG-PET, diagnostic accuracy improved from 77 to 90% in Alzheimer’s disease (AD) and from 85 to 94% in frontotemporal lobar degeneration (FTLD) patients (p < 0.01). FDG-PET performed better in dementia than in MCI (positive likelihood ratios >5 and < 5, respectively). Conclusion Within a selected clinical population, FDG-PET has a significant clinical impact, both in early and differential diagnosis of uncertain dementia. FDG-PET provides significant incremental value to detect AD and FTLD over a clinical diagnosis of uncertain dementia. Electronic supplementary material The online version of this article (10.1007/s00259-020-04969-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Giulia Perini
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, 141 52, Stockholm, Sweden.,Center for Cognitive and Behavioral Disorders, IRCCS Mondino Foundation and Dept of Brain and Behavior, University of Pavia, 27100, Pavia, Italy
| | - Elena Rodriguez-Vieitez
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, 141 52, Stockholm, Sweden
| | - Ahmadul Kadir
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, 141 52, Stockholm, Sweden.,Theme Aging, The Aging Brain Unit, Karolinska University Hospital, 141 86, Stockholm, Sweden
| | - Arianna Sala
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, 141 52, Stockholm, Sweden
| | - Irina Savitcheva
- Medical Radiation Physics and Nuclear Medicine Imaging, Section for Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institutet, 141 52, Stockholm, Sweden. .,Theme Aging, The Aging Brain Unit, Karolinska University Hospital, 141 86, Stockholm, Sweden.
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15
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Aungst A, Casady L, Dixon C, Maldonado J, Moreo N, Pearsall L, Robertson D. Assessing Barriers to Adherence with the Use of Dimethyl Fumarate in Multiple Sclerosis. Clin Drug Investig 2020; 40:73-81. [PMID: 31599395 DOI: 10.1007/s40261-019-00866-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic, inflammatory, central nervous system demyelinating disease that requires long-term use of disease-modifying therapies (DMT). Patient adherence to DMT is key in reducing the inflammation that leads to relapses and neurodegeneration. Dimethyl fumarate (DMF) poses unique challenges to adherence including being the only twice-daily dosing DMT. Previous research suggests there are direct roles that providers play on improving their patients' adherence rates, such as focusing on the patient-provider relationship, helping put the patient at ease so that they feel understood and respected. Also, route of administration affects adherence in other chronic healthcare conditions. However, the issue of adherence to DMT in MS is more complex than just route of administration, with adverse effects being the main predictor of adherence. OBJECTIVES (1) To define various patient specific factors (e.g. fatigue and mood disorders) that affect adherence with DMF and (2) to understand how patients' perceptions of treatment satisfaction (such as effectiveness, convenience, side effects and global satisfaction) and DMFs impact on quality of life (such as social support, activities of daily living, coping) influence adherence. METHODS Our study was a prospective, observational measurement of adherence to treatment with DMF in MS patients over 52 weeks. Twenty-five out of thirty-five patients enrolled completed the study. Adverse event (AE) data was reviewed on all participants. RESULTS Adherence rates correlated with patient's perceived effectiveness (0.25, p < 0.023) and the level of bothersome symptoms the patient experienced (0.45, p < 0.0001). The majority of new AE onset was reported within 12 weeks of DMF initiation. This is consistent with previously published data with DMF use. CONCLUSION Adherence rates are an important factor to be considered when starting patients on DMT. DMF creates its own barriers to adherence with our study highlighting some, including twice-daily dosing and AEs experienced following treatment initiation. Healthcare providers should be aware of these barriers prior to treatment initiation and counsel patients appropriately.
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Affiliation(s)
- Angela Aungst
- Department of Neurology Morsani College of Medicine, University of South Florida, 13330 USF Laurel Dr, Tampa, FL, 33612, USA.
| | - Lise Casady
- Department of Neurology Morsani College of Medicine, University of South Florida, 13330 USF Laurel Dr, Tampa, FL, 33612, USA
| | - Crystal Dixon
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Janice Maldonado
- Department of Neurology Morsani College of Medicine, University of South Florida, 13330 USF Laurel Dr, Tampa, FL, 33612, USA
| | - Natalie Moreo
- Department of Neurology Morsani College of Medicine, University of South Florida, 13330 USF Laurel Dr, Tampa, FL, 33612, USA
| | - Laurie Pearsall
- Department of Neurology Morsani College of Medicine, University of South Florida, 13330 USF Laurel Dr, Tampa, FL, 33612, USA
| | - Derrick Robertson
- Department of Neurology Morsani College of Medicine, University of South Florida, 13330 USF Laurel Dr, Tampa, FL, 33612, USA
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17
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Jutkowitz E, Van Houtven CH, Plassman BL, Mor V. Willingness to Undergo a Risky Treatment to Improve Cognition Among Persons With Cognitive Impairment Who Received an Amyloid PET Scan. Alzheimer Dis Assoc Disord 2020; 34:1-9. [PMID: 31414990 PMCID: PMC7015762 DOI: 10.1097/wad.0000000000000338] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate determinants of willingness to accept a treatment to return memory to normal among persons with cognitive impairment who received an amyloid positron emission tomography (PET) scan and their care partner and discordance in risk taking. METHODS Using data from CARE-IDEAS (n=1872 dyads), a supplement of the Imaging Dementia-Evidence for Amyloid Scanning study, we predicted scan recipient's willingness to accept a risky treatment, the risk care partners believed their care recipient would accept, and discordance in these perceptions. RESULTS Scan recipients were willing to accept a treatment with a 27.94% (SD=34.36) risk of death. Care partners believed their care recipient would accept a 29.68% (SD=33.74) risk of death; thus, overestimating risk acceptance by 1.74 (SD=41.88) percentage points. A positive amyloid PET scan was associated with willingness to accept greater risk. Poorer functioning of the care recipient was associated with care partners believing their care recipient would accept more risk. The amyloid PET scan result was not significantly associated with discordance, but poorer functioning of the care recipient resulted in care partners overestimating risk. CONCLUSIONS Scan recipients were willing to accept a treatment with a high risk of death. Discordance was affected by scan recipient's having poorer functioning.
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Affiliation(s)
- Eric Jutkowitz
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI
- Center of Innovation, Providence Veterans Health Administration (VA) Medical Center, Providence, RI
| | - Courtney Harold Van Houtven
- Durham ADAPT COIN, HSR&D, Durham VAMC
- Department of Population Health Sciences, Duke University School of Medicine
| | - Brenda L. Plassman
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine
- Department of Neurology, Duke University School of Medicine
| | - Vincent Mor
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI
- Center of Innovation, Providence Veterans Health Administration (VA) Medical Center, Providence, RI
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18
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James HJ, Van Houtven CH, Lippmann S, Burke JR, Shepherd-Banigan M, Belanger E, Wetle TF, Plassman BL. How Accurately Do Patients and Their Care Partners Report Results of Amyloid-β PET Scans for Alzheimer's Disease Assessment? J Alzheimers Dis 2020; 74:625-636. [PMID: 32065790 PMCID: PMC7183243 DOI: 10.3233/jad-190922] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND Amyloid-β PET scans will likely become an integral part of the diagnostic evaluation for Alzheimer's disease if Medicare approves reimbursement for the scans. However, little is known about patients' and their care partners' interpretation of scan results. OBJECTIVE This study seeks to understand how accurately patients with mild cognitive impairment (MCI) or dementia and their care partners report results of amyloid-β PET scans and factors related to correct reporting. METHODS A mixed-methods approach was used to analyze survey data from 1,845 patient-care partner dyads and responses to open-ended questions about interpretation of scan results from a sub-sample of 200 dyads. RESULTS Eighty-three percent of patients and 85% of care partners correctly reported amyloid-β PET scan results. Patients' higher cognitive function was associated with a small but significant decrease in the predicted probability of not only patients accurately reporting scan results (ME: -0.004, 95% CI: -0.007, -0.000), but also care partners accurately reporting scan results (ME: -0.006, 95% CI: -0.007, -0.001), as well as decreased concordance between patient and care partner reports (ME: -0.004, 95% CI: -0.007, -0.001). Content analysis of open-ended responses found that participants who reported the scan results incorrectly exhibited more confusion about diagnostic terminology than those who correctly reported the scan results. CONCLUSION Overall, patients with MCI or dementia showed high rates of accurate reporting of amyloid-β PET scan results. However, responses to questions about the meaning of the scan results highlight the need for improved provider communication, including providing written explanations and better prognostic information.
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Affiliation(s)
- Hailey J. James
- Department of Health Policy and Management, University of North Carolina, Chapel Hill, NC, USA
- Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - Courtney Harold Van Houtven
- Department of Population Health Sciences, Duke University, Durham, NC, USA
- Health Services Research and Development in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC, USA
| | - Steven Lippmann
- Department of Population Health Sciences, Duke University, Durham, NC, USA
| | - James R. Burke
- Department of Neurology, School of Medicine, Duke University, Durham, NC, USA
| | - Megan Shepherd-Banigan
- Department of Population Health Sciences, Duke University, Durham, NC, USA
- Health Services Research and Development in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC, USA
| | - Emmanuelle Belanger
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, RI, USA
- Department of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, RI, USA
| | - Terrie Fox Wetle
- Department of Health Services, Policy and Practice, School of Public Health, Brown University, Providence, RI, USA
| | - Brenda L. Plassman
- Department of Neurology, School of Medicine, Duke University, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University, Durham, NC, USA
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19
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Shea YF, Barker W, Greig-Gusto MT, Loewenstein DA, DeKosky ST, Duara R. Utility of Amyloid PET Scans in the Evaluation of Patients Presenting with Diverse Cognitive Complaints. J Alzheimers Dis 2019; 66:1599-1608. [PMID: 30475766 DOI: 10.3233/jad-180683] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND The impact of amyloid positron emission tomography (Aβ-PET) in a "real-world" memory disorders clinic remains poorly studied. OBJECTIVE We studied the impact of Aβ-PET in diagnosis and management in the memory clinic and factors making the most impact in diagnosis and management. METHODS We studied 102 patients who had presented at a memory disorders clinic (the Wien Center for Alzheimer's Disease and Memory Disorders, Miami Beach, FL) and had a diagnostic work-up for cognitive complaints, including Aβ-PET scans. RESULTS Following Aβ-PET, changes were made in diagnosis (37.3%), in specific treatments for Alzheimer's disease (26.5%) and in psychiatric treatments (25.5%). The agreement between diagnosis pre-Aβ-PET versus post-Aβ-PET diagnosis was only fair, with a Cohen's kappa of 0.23 (95% CI 0-0.42). Patients with MRI findings suggestive of AD (medial temporal and/or parietal atrophy) were more frequently amyloid positive than amyloid negative (66.2% versus 33.8%, p = 0.04). Among patients with atypical clinical features for AD, but with MRI findings suggestive of AD, an amyloid negative PET scan had a greater impact than an amyloid positive PET scan on diagnosis (84.2% versus 17.1%, p < 0.001), management (84.2% versus 40%, p < 0.01) and discussion of results and advice on lifestyle (73.7% versus 22.9%, p < 0.001). CONCLUSIONS We conclude that MRI features suggestive of AD predict a positive amyloid PET scan. However, among those with MRI features suggestive of AD but with atypical clinical features of AD, the clinical impact on diagnosis and management is greater for an amyloid negative than an amyloid positive Aβ-PET scans.
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Affiliation(s)
- Yat-Fung Shea
- Wien Center for Alzheimer's Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA.,Department of Medicine, LKS Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - Warren Barker
- Wien Center for Alzheimer's Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Maria T Greig-Gusto
- Wien Center for Alzheimer's Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - David A Loewenstein
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, FL, USA
| | - Steven T DeKosky
- Department of Neurology, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Ranjan Duara
- Wien Center for Alzheimer's Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
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de Wilde A, van der Flier WM, Pelkmans W, Bouwman F, Verwer J, Groot C, van Buchem MM, Zwan M, Ossenkoppele R, Yaqub M, Kunneman M, Smets EMA, Barkhof F, Lammertsma AA, Stephens A, van Lier E, Biessels GJ, van Berckel BN, Scheltens P. Association of Amyloid Positron Emission Tomography With Changes in Diagnosis and Patient Treatment in an Unselected Memory Clinic Cohort: The ABIDE Project. JAMA Neurol 2019; 75:1062-1070. [PMID: 29889941 DOI: 10.1001/jamaneurol.2018.1346] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Importance Previous studies have evaluated the diagnostic effect of amyloid positron emission tomography (PET) in selected research cohorts. However, these research populations do not reflect daily practice, thus hampering clinical implementation of amyloid imaging. Objective To evaluate the association of amyloid PET with changes in diagnosis, diagnostic confidence, treatment, and patients' experiences in an unselected memory clinic cohort. Design, Setting, and Participants Amyloid PET using fluoride-18 florbetaben was offered to 866 patients who visited the tertiary memory clinic at the VU University Medical Center between January 2015 and December 2016 as part of their routine diagnostic dementia workup. Of these patients, 476 (55%) were included, 32 (4%) were excluded, and 358 (41%) did not participate. To enrich this sample, 31 patients with mild cognitive impairment from the University Medical Center Utrecht memory clinic were included. For each patient, neurologists determined a preamyloid and postamyloid PET diagnosis that existed of both a clinical syndrome (dementia, mild cognitive impairment, or subjective cognitive decline) and a suspected etiology (Alzheimer disease [AD] or non-AD), with a confidence level ranging from 0% to 100%. In addition, the neurologist determined patient treatment in terms of ancillary investigations, medication, and care. Each patient received a clinical follow-up 1 year after being scanned. Main Outcomes and Measures Primary outcome measures were post-PET changes in diagnosis, diagnostic confidence, and patient treatment. Results Of the 507 patients (mean [SD] age, 65 (8) years; 201 women [39%]; mean [SD] Mini-Mental State Examination score, 25 [4]), 164 (32%) had AD dementia, 70 (14%) non-AD dementia, 114 (23%) mild cognitive impairment, and 159 (31%) subjective cognitive decline. Amyloid PET results were positive for 242 patients (48%). The suspected etiology changed for 125 patients (25%) after undergoing amyloid PET, more often due to a negative (82 of 265 [31%]) than a positive (43 of 242 [18%]) PET result (P < .01). Post-PET changes in suspected etiology occurred more frequently in patients older (>65 years) than younger (<65 years) than the typical age at onset of 65 years (74 of 257 [29%] vs 51 of 250 [20%]; P < .05). Mean diagnostic confidence (SD) increased from 80 (13) to 89 (13%) (P < .001). In 123 patients (24%), there was a change in patient treatment post-PET, mostly related to additional investigations and therapy. Conclusions and Relevance This prospective diagnostic study provides a bridge between validating amyloid PET in a research setting and implementing this diagnostic tool in daily clinical practice. Both amyloid-positive and amyloid-negative results had substantial associations with changes in diagnosis and treatment, both in patients with and without dementia.
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Affiliation(s)
- Arno de Wilde
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Wiesje Pelkmans
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Jurre Verwer
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Colin Groot
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marieke M van Buchem
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marissa Zwan
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marleen Kunneman
- Department of Medical Psychology, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England
| | - Adriaan A Lammertsma
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | | | | | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Bart N van Berckel
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
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Patient and Caregiver Assessment of the Benefits From the Clinical Use of Amyloid PET Imaging. Alzheimer Dis Assoc Disord 2019; 32:35-42. [PMID: 29140859 DOI: 10.1097/wad.0000000000000220] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Few studies to date have explored patient and caregiver views on the clinical use of amyloid positron emission tomography (PET). METHODS A 7-item questionnaire assessing patient and caregiver views (510 total respondents) toward amyloid PET imaging was advertised broadly through alz.org/trialmatch. RESULTS We received 510 unique responses from 48 US states, 2 Canadian provinces, the Dominican Republic, and Greece. Both patients and caregivers indicated that they would want to receive amyloid imaging if offered the opportunity. Over 88% of respondents had a positive response (∼10% with neutral and 2% with negative responses) to whether amyloid PET should be offered routinely and be reimbursed. Such information was felt to be useful for long-term legal, financial, and health care planning. Respondents identifying with early age cognitive decline (younger than 65 y) were more likely to explore options for disability insurance (P=0.03). Responders from the Midwest were more likely to utilize information from amyloid imaging for legal planning (P=0.02), disability insurance (P=0.02), and life insurance (P=0.04) than other US regions. DISCUSSION Patients and caregivers supported the use of amyloid PET imaging in clinical practice and felt that the information would provide significant benefits particularly in terms of future planning.
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22
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Shea YF, Barker W, Greig-Gusto MT, Loewenstein DA, Duara R, DeKosky ST. Impact of Amyloid PET Imaging in the Memory Clinic: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2019; 64:323-335. [PMID: 29889075 DOI: 10.3233/jad-180239] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Patients with cognitive impairment or dementias of uncertain etiology are frequently referred to a memory disorders specialty clinic. The impact of and role for amyloid PET imaging (Aβ-PET) may be most appropriate in this clinical setting. OBJECTIVE The primary objective of this study was to perform a systematic review and meta-analysis of the impact of Aβ-PET on etiological diagnosis and clinical management in the memory clinic setting. METHODS A search of the literature on the impact of Aβ-PET in the memory clinic setting between 1 January 2004 and 12 February 2018 was conducted. Meta-analysis using a random effects model was performed to determine the pooled estimate of the impact of Aβ-PET in the changes of diagnoses and changes in management plan. RESULTS After rigorous review, results from 13 studies were extracted, involving 1,489 patients. Meta-analysis revealed a pooled effect of change in diagnoses of 35.2% (95% CI 24.6-47.5). Sub-analyses showed that the pooled effect in change in diagnoses if Aβ-PET was used under the appropriate use criteria (AUC) or non-AUC criteria were 47.8% (95% CI 25.9-70.5) and 29.6% (95% CI: 21.5-39.3), respectively. The pooled effect of a change of diagnosis from Alzheimer's disease (AD) to non-AD and from non-AD to AD were 22.7% (95% CI: 17.1-29.5) and 25.6% (95% CI: 17.6-35.8), respectively. The pooled effect leading to a change of management was 59.6% (95% CI 39.4-77.0). CONCLUSIONS Aβ-PET has a highly significant impact on both changes in diagnosis and management among patients being seen at a specialty memory clinic.
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Affiliation(s)
- Yat-Fung Shea
- Wien Center for Alzheimer's Disease and Memory Disorder, Mount Sinai Medical Center, Miami Beach, FL, USA.,Department of Medicine, LKS Faculty of Medicine, University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - Warren Barker
- Wien Center for Alzheimer's Disease and Memory Disorder, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Maria T Greig-Gusto
- Wien Center for Alzheimer's Disease and Memory Disorder, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - David A Loewenstein
- Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, FL, USA
| | - Ranjan Duara
- Wien Center for Alzheimer's Disease and Memory Disorder, Mount Sinai Medical Center, Miami Beach, FL, USA.,Departments of Neurology, Herbert Wertheim College of Medicine, Florida International University, Miami, FL and University of Florida College of Medicine, Gainesville, FL, USA
| | - Steven T DeKosky
- Department of Neurology, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
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23
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Lage C, Suarez AG, Pozueta A, Riancho J, Kazimierczak M, Bravo M, Jimenez Bonilla J, de Arcocha Torres M, Quirce R, Banzo I, Vazquez-Higuera JL, Rabinovici GD, Rodriguez-Rodriguez E, Sánchez-Juan P. Utility of Amyloid and FDG-PET in Clinical Practice: Differences Between Secondary and Tertiary Care Memory Units. J Alzheimers Dis 2019; 63:1025-1033. [PMID: 29710706 DOI: 10.3233/jad-170985] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The clinical utility of amyloid positron emission tomography (PET) has not been fully established. Our aim was to evaluate the effect of amyloid imaging on clinical decision making in a secondary care unit and compare our results with a previous study in a tertiary center following the same methods. We reviewed retrospectively 151 cognitively impaired patients who underwent amyloid (Pittsburgh compound B [PiB]) PET and were evaluated clinically before and after the scan in a secondary care unit. One hundred and fifty concurrently underwent fluorodeoxyglucose (FDG)-PET. We assessed changes between the pre- and post-PET clinical diagnosis and Alzheimer's disease treatment plan. The association between PiB/FDG results and changes in management was evaluated using χ2 and multivariate logistic regression. Concordance between classification based on scan readings and baseline diagnosis was 66% for PiB and 47% for FDG. The primary diagnosis changed after PET in 17.2% of cases. When examined independently, discordant PiB and discordant FDG were both associated with diagnostic change (p < 0.0001). However, when examined together in a multivariate logistic regression, only discordant PiB remained significant (p = 0.0002). Changes in treatment were associated with concordant PiB (p = 0.009) while FDG had no effect on treatment decisions. Based on our regression model, patients with diagnostic dilemmas, a suspected non-amyloid syndrome, and Clinical Dementia Rating <1 were more likely to benefit from amyloid PET due to a higher likelihood of diagnostic change. We found that changes in diagnosis after PET in our secondary center almost doubled those of our previous analysis of a tertiary unit (9% versus 17.2%). Our results offer some clues about the rational use of amyloid PET in a secondary care memory unit stressing its utility in mild cognitive impairment patients.
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Affiliation(s)
- Carmen Lage
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Andrea Gonzalez Suarez
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Ana Pozueta
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Javier Riancho
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Martha Kazimierczak
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Maria Bravo
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Julio Jimenez Bonilla
- Department of Nuclear Medicine, University Hospital Marqués de Valdecilla, University of Cantabria, Molecular Imaging Group - IDIVAL, Santander, Spain
| | - Marıa de Arcocha Torres
- Department of Nuclear Medicine, University Hospital Marqués de Valdecilla, University of Cantabria, Molecular Imaging Group - IDIVAL, Santander, Spain
| | - Remedios Quirce
- Department of Nuclear Medicine, University Hospital Marqués de Valdecilla, University of Cantabria, Molecular Imaging Group - IDIVAL, Santander, Spain
| | - Ignacio Banzo
- Department of Nuclear Medicine, University Hospital Marqués de Valdecilla, University of Cantabria, Molecular Imaging Group - IDIVAL, Santander, Spain
| | - Jose Luis Vazquez-Higuera
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Gil D Rabinovici
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, USA; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Lab, Berkeley, CA, USA; Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Eloy Rodriguez-Rodriguez
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
| | - Pascual Sánchez-Juan
- Neurology Service and Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 'Marqués de Valdecilla' University Hospital, University of Cantabria, Institute for Research 'Marqués de Valdecilla' (IDIVAL), Santander, Spain
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Does informant-based reporting of cognitive symptoms predict amyloid positivity on positron emission tomography? ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:424-429. [PMID: 31206008 PMCID: PMC6558087 DOI: 10.1016/j.dadm.2019.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Introduction Researchers are searching for clinical instruments to predict amyloid positivity for disease classification. Informant-based reports could detect disease status. This study compares subjective memory complaints captured by informant-based reports between positron emission tomography (PET)–positive and PET-negative patients and hypothesizes that amyloid PET positivity associates with increased informant-based cognitive complaints. Methods Ninety-eight amnestic mild cognitive impairment or mild dementia subjects were studied. Subjective report was captured by the informant-driven Alzheimer's Questionnaire (AQ) administered before PET. Differences in demographics and AQ score by diagnostic status and amyloid status were measured, and a receiver-operating characteristic curve was calculated. Results Sixty-five mild cognitive impairment/Alzheimer's disease amyloid PET-positive and 33 amyloid PET-negative subjects were included. AQ was significantly higher (12.51 ± 4.95) for amyloid PET-positive subjects (9.06 ± 3.65; P = .001). Conclusions Amyloid PET-positive subjects with Alzheimer's disease or mild cognitive impairment have more informant-based reports of cognitive decline, indicating utility for a brief informant measure.
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25
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Kim Y, Rosenberg P, Oh E. A Review of Diagnostic Impact of Amyloid Positron Emission Tomography Imaging in Clinical Practice. Dement Geriatr Cogn Disord 2019; 46:154-167. [PMID: 30199882 DOI: 10.1159/000492151] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 07/15/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Molecular imaging of brain amyloid for the diagnosis of Alzheimer's disease (AD) using positron emission tomography (PET) has been approved for use in clinical practice by the Food and Drug Administration (FDA) since 2012. However, the clinical utility and diagnostic impact of amyloid PET imaging remain controversial. We conducted a review of the recent studies investigating clinical utility of amyloid PET imaging with focus on changes in diagnosis, diagnostic confidence, and patient management. SUMMARY A total of 16 studies were included in the final analysis. Overall rate of changes in diagnosis after amyloid PET ranged from 9 to 68% (pooled estimate of 31%, 95% CI 23-39%). All studies reported overall increase in diagnostic confidence or diagnostic certainty after amyloid PET. Changes in patient management ranged from 37 to 87%; the most common type of change in management reported was either the initiation or discontinuation of planned AD medications. Key Messages: Amyloid PET imaging led to moderate to significant changes in diagnosis, diagnostic confidence, and subsequent patient management. It may be most useful in patients with high level of diagnostic uncertainty even after the completing the standard workup.
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Affiliation(s)
- Yejin Kim
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Paul Rosenberg
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Esther Oh
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, .,Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, .,Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland,
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Amyloid imaging for differential diagnosis of dementia: incremental value compared to clinical diagnosis and [ 18F]FDG PET. Eur J Nucl Med Mol Imaging 2018; 46:312-323. [PMID: 30094462 PMCID: PMC6333717 DOI: 10.1007/s00259-018-4111-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 07/10/2018] [Indexed: 11/24/2022]
Abstract
Purpose Cerebral beta-amyloid and regional glucose metabolism assessed by positron emission tomography (PET) are used as diagnostic biomarkers for Alzheimer’s disease (AD). The present study validates the incremental diagnostic value of amyloid PET in addition to clinical diagnosis and [18F]FDG PET in a real-life memory clinic population. Methods Of 138 consecutive patients with cognitive impairment who received combined [18F]FDG and [11C]PIB PET, 84 were diagnosed with major neurocognitive disorder (DSM-5) and included. Baseline clinical and [18F]FDG PET diagnoses were independently established with and without access to amyloid PET results and were dichotomized into AD or non-AD disorders. The incremental value of amyloid PET was evaluated in terms of: (1) the change in clinical and [18F]FDG PET diagnoses, (2) the change in agreement between clinical and [18F]FDG PET diagnoses, and (3) diagnostic accuracy using an interdisciplinary consensus diagnosis after an extended follow-up (2.4 ± 1.3 years after PET) as the reference. Results After disclosure of the amyloid PET results, clinical and [18F]FDG PET diagnoses changed in 23% and 18% of patients, respectively, and agreement between both ratings increased from 62% to 86% (p < 0.001). The accuracy of clinical and [18F]FDG PET diagnoses improved from 71% to 89% (p < 0.01) and from 76% to 94% (p < 0.001), respectively. The additional value of amyloid PET was rather uniform in relation to age at onset and consistency with appropriate use criteria. Conclusion Amyloid PET provides significant incremental diagnostic value beyond clinical and [18F]FDG PET diagnoses of AD. Given the high diagnostic accuracy of combined clinical and amyloid PET assessment, further studies are needed to clarify the role of an additional [18F]FDG PET scan in these patients.
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27
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Molecular imaging in dementia: Past, present, and future. Alzheimers Dement 2018; 14:1522-1552. [DOI: 10.1016/j.jalz.2018.06.2855] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 06/02/2018] [Accepted: 06/03/2018] [Indexed: 12/14/2022]
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28
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Chun KA. Beta-amyloid imaging in dementia. Yeungnam Univ J Med 2018; 35:1-6. [PMID: 31620564 PMCID: PMC6784662 DOI: 10.12701/yujm.2018.35.1.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2017] [Revised: 11/30/2017] [Accepted: 01/03/2018] [Indexed: 11/24/2022] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder associated with extracellular plaques, composed of amyloid-beta (Aβ), in the brain. Although the precise mechanism underlying the neurotoxicity of Aβ has not been established, Aβ accumulation is the primary event in a cascade of events that lead to neurofibrillary degeneration and dementia. In particular, the Aβ burden, as assessed by neuroimaging, has proved to be an excellent predictive biomarker. Positron emission tomography, using ligands such as 11C-labeled Pittsburgh Compound B or 18F-labeled tracers, such as 18F-florbetaben, 18F-florbetapir, and 18F-flutemetamol, which bind to Aβ deposits in the brain, has been a valuable technique for visualizing and quantifying the deposition of Aβ throughout the brain in living subjects. Aβ imaging has very high sensitivity for detecting AD pathology. In addition, it can predict the progression from mild cognitive impairment to AD, and contribute to the development of disease-specific therapies.
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Affiliation(s)
- Kyung Ah Chun
- Department of Nuclear Medicine, Yeungnam University College of Medicine, Daegu, Korea
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29
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Carswell CJ, Win Z, Muckle K, Kennedy A, Waldman A, Dawe G, Barwick TD, Khan S, Malhotra PA, Perry RJ. Clinical utility of amyloid PET imaging with (18)F-florbetapir: a retrospective study of 100 patients. J Neurol Neurosurg Psychiatry 2018; 89:294-299. [PMID: 29018162 DOI: 10.1136/jnnp-2017-316194] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 08/16/2017] [Accepted: 09/13/2017] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND OBJECTIVE Amyloid-positron emission tomography (PET) imaging (API) detects amyloid-beta pathology early in the course of Alzheimer's disease (AD) with high sensitivity and specificity. (18)F-florbetapir (Amyvid) is an amyloid-binding PET ligand with a half-life suitable for clinical use outside of the research setting. How API affects patient investigation and management in the 'real-world' arena is unknown. To address this, we retrospectively documented the effect of API in patients in the memory clinic. METHODS We reviewed the presenting clinical features, the pre-API and post-API investigations, diagnosis and outcomes for the first 100 patients who had API as part of their routine work-up at the Imperial Memory Centre, a tertiary referral clinic in the UK National Health Service. RESULTS API was primarily used to investigate patients with atypical clinical features (56 cases) or those that were young at onset (42 cases). MRI features of AD did not always predict positive API (67%), and 6 of 23 patients with MRIs reported as normal were amyloid-PET positive. There were significantly more cases categorised as non-AD dementia post-API (from 11 to 23). Patients investigated when API was initially available had fewer overall investigations and all patients had significantly fewer investigations in total post-API. CONCLUSIONS API has a clear impact on the investigation of young-onset or complex dementia while reducing the overall burden of investigations. It was most useful in younger patients, atypical presentations or individuals with multiple possible causes of cognitive impairment.
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Affiliation(s)
| | - Zarni Win
- Department of Neuroradiology, Imperial College Healthcare NHS Trust, London, UK
| | - Kirsty Muckle
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Angus Kennedy
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Adam Waldman
- Centre for Clinical Brain Sciences, Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
| | - Gemma Dawe
- Department of Neuroradiology, Imperial College Healthcare NHS Trust, London, UK
| | - Tara D Barwick
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK.,Division of Cancer and Surgery, Imperial College, London, UK
| | - Sameer Khan
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Paresh A Malhotra
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK.,Division of Brain Sciences, Faculty of Medicine, Imperial College, London, UK
| | - Richard J Perry
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK.,Division of Brain Sciences, Faculty of Medicine, Imperial College, London, UK
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Fantoni ER, Chalkidou A, O’ Brien JT, Farrar G, Hammers A. A Systematic Review and Aggregated Analysis on the Impact of Amyloid PET Brain Imaging on the Diagnosis, Diagnostic Confidence, and Management of Patients being Evaluated for Alzheimer's Disease. J Alzheimers Dis 2018; 63:783-796. [PMID: 29689725 PMCID: PMC5929301 DOI: 10.3233/jad-171093] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/26/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND Amyloid PET (aPET) imaging could improve patient outcomes in clinical practice, but the extent of impact needs quantification. OBJECTIVE To provide an aggregated quantitative analysis of the value added by aPET in cognitively impaired subjects. METHODS Systematic literature searches were performed in Embase and Medline until January 2017. 1,531 cases over 12 studies were included (1,142 cases over seven studies in the primary analysis where aPET was the key biomarker; the remaining cases included as defined groups in the secondary analysis). Data was abstracted by consensus among two observers and assessed for bias. Clinical utility was measured by diagnostic change, diagnostic confidence, and patient management before and after aPET. Three groups were further analyzed: control patients for whom feedback of aPET scan results was delayed; aPET Appropriate Use Criteria (AUC+) cases; and patients undergoing additional FDG/CSF testing. RESULTS For 1,142 cases with only aPET, 31.3% of diagnoses were revised, whereas 3.2% of diagnoses changed in the delayed aPET control group (p < 0.0001). Increased diagnostic confidence following aPET was found for 62.1% of 870 patients. Management changes with aPET were found in 72.2% of 740 cases and in 55.5% of 299 cases in the control group (p < 0.0001). The diagnostic value of aPET in AUC+ patients or when FDG/CSF were additionally available did not substantially differ from the value of aPET alone in the wider population. CONCLUSIONS Amyloid PET contributed to diagnostic revision in almost a third of cases and demonstrated value in increasing diagnostic confidence and refining management plans.
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Affiliation(s)
| | - Anastasia Chalkidou
- King’s Technology Evaluation Centre (KiTEC), London, UK
- Guy’s and St Thomas’ NHS Foundation Trust, London, UK; King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, UK
| | | | | | - Alexander Hammers
- Guy’s and St Thomas’ NHS Foundation Trust, London, UK; King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King’s College London, UK
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31
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Garibotto V, Herholz K, Boccardi M, Picco A, Varrone A, Nordberg A, Nobili F, Ratib O. Clinical validity of brain fluorodeoxyglucose positron emission tomography as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiol Aging 2017; 52:183-195. [PMID: 28317648 DOI: 10.1016/j.neurobiolaging.2016.03.033] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Revised: 03/09/2016] [Accepted: 03/22/2016] [Indexed: 10/19/2022]
Abstract
The use of Alzheimer's disease (AD) biomarkers is supported in diagnostic criteria, but their maturity for clinical routine is still debated. Here, we evaluate brain fluorodeoxyglucose positron emission tomography (FDG PET), a measure of cerebral glucose metabolism, as a biomarker to identify clinical and prodromal AD according to the framework suggested for biomarkers in oncology, using homogenous criteria with other biomarkers addressed in parallel reviews. FDG PET has fully achieved phase 1 (rational for use) and most of phase 2 (ability to discriminate AD subjects from healthy controls or other forms of dementia) aims. Phase 3 aims (early detection ability) are partly achieved. Phase 4 studies (routine use in prodromal patients) are ongoing, and only preliminary results can be extrapolated from retrospective observations. Phase 5 studies (quantify impact and costs) have not been performed. The results of this study show that specific efforts are needed to complete phase 3 evidence, in particular comparing and combining FDG PET with other biomarkers, and to properly design phase 4 prospective studies as a basis for phase 5 evaluations.
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Affiliation(s)
- Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Department of Medical Imaging, University Hospitals of Geneva, Geneva University, Geneva, Switzerland.
| | - Karl Herholz
- Wolfson Molecular Imaging Centre, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Marina Boccardi
- Laboratory of Neuroimaging and Alzheimer's Epidemiology, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; LANVIE (Laboratory of Neuroimaging of Aging), Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Agnese Picco
- LANVIE (Laboratory of Neuroimaging of Aging), Department of Psychiatry, University of Geneva, Geneva, Switzerland; Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Andrea Varrone
- Department of Clinical Neuroscience, Center for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Agneta Nordberg
- Department of Geriatric Medicine, Center for Alzheimer Research, Translational Alzheimer Neurobiology, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Flavio Nobili
- Department of Neuroscience (DINOGMI), Clinical Neurology, University of Genoa, and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Osman Ratib
- Division of Nuclear Medicine and Molecular Imaging, Department of Medical Imaging, University Hospitals of Geneva, Geneva University, Geneva, Switzerland
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32
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Pontecorvo MJ, Siderowf A, Dubois B, Doraiswamy PM, Frisoni GB, Grundman M, Nobili F, Sadowsky CH, Salloway S, Arora AK, Chevrette A, Deberdt W, Dell'Agnello G, Flitter M, Galante N, Lowrey MJ, Lu M, McGeehan A, Devous Sr. MD, Mintun MA. Effectiveness of Florbetapir PET Imaging in Changing Patient Management. Dement Geriatr Cogn Disord 2017; 44:129-143. [PMID: 28787712 PMCID: PMC5806476 DOI: 10.1159/000478007] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/05/2017] [Indexed: 12/24/2022] Open
Abstract
AIMS To evaluate the impact of amyloid PET imaging on diagnosis and patient management in a multicenter, randomized, controlled study. METHODS Physicians identified patients seeking a diagnosis for mild cognitive impairment or dementia, possibly due to Alzheimer disease (AD), and recorded a working diagnosis and a management plan. The patients underwent florbetapir PET scanning and were randomized to either immediate or delayed (1-year) feedback regarding amyloid status. At the 3-month visit, the physician updated the diagnosis and recorded a summary of the actual patient management since the post-scan visit. The study examined the impact of immediate versus delayed feedback on patient diagnosis/management at 3 and 12 months. RESULTS A total of 618 subjects were randomized (1:1) to immediate or delayed feedback arms, and 602 subjects completed the 3-month primary endpoint visit. A higher proportion of patients in the immediate feedback arm showed a change in diagnosis compared to the controls (32.6 vs. 6.4%; p = 0.0001). Similarly, a higher proportion of patients receiving immediate feedback had a change in management plan (68 vs. 55.5%; p < 0.002), mainly driven by changes in AD medication. Specifically, acetylcholinesterase inhibitors were prescribed to 67% of the amyloid-positive and 27% of the amyloid-negative subjects in the information group compared with 56 and 43%, respectively, in the control group (p < 0.0001). These between-group differences persisted until the 12-month visit. CONCLUSION Knowledge of the amyloid status affects the diagnosis and alters patient management.
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Affiliation(s)
- Michael J. Pontecorvo
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA,*Michael J. Pontecorvo, PhD, Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), 3711 Market Street, Philadelphia, PA 19104 (USA), E-Mail
| | - Andrew Siderowf
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Bruno Dubois
- Dementia Research Center (IM2A), Institut du Cerveau et de la Moelle épinière (ICM), UMR-S975, Université Pierre et Marie Curie-Paris 6, AP-HP, Hôpital de la Salpêtrière, Paris, France
| | - P. Murali Doraiswamy
- Department of Psychiatry, Duke University Health System and the Duke Institute for Brain Sciences, Durham, North Carolina, USA
| | - Giovanni B. Frisoni
- Department of Psychiatry, University Hospitals and University of Geneva, Geneva, Switzerland,Department of Internal Medicine, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Michael Grundman
- Global R&D Partners, LLC, California, USA,University of California, San Diego, California, USA
| | - Flavio Nobili
- Clinical Neurology, Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy
| | | | | | - Anupa K. Arora
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Antoine Chevrette
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | | | | | - Matthew Flitter
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Nick Galante
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Mark J. Lowrey
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Ming Lu
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Anne McGeehan
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Michael D. Devous Sr.
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
| | - Mark A. Mintun
- Avid Radiopharmaceuticals (a wholly owned subsidiary of Eli Lilly and Company), Philadelphia, Pennsylvania, USA
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Ceccaldi M, Jonveaux T, Verger A, Krolak‐Salmon P, Houzard C, Godefroy O, Shields T, Perrotin A, Gismondi R, Bullich S, Jovalekic A, Raffa N, Pasquier F, Semah F, Dubois B, Habert M, Wallon D, Chastan M, Payoux P, Ceccaldi M, Guedj E, Ceccaldi M, Felician O, Didic M, Gueriot C, Koric L, Kletchkova‐Gantchev R, Guedj E, Godefroy O, Andriuta D, Devendeville A, Dupuis D, Binot I, Barbay M, Meyer M, Moullard V, Magnin E, Chamard L, Haffen S, Morel O, Drouet C, Boulahdour H, Goas P, Querellou‐Lefranc S, Sayette V, Cogez J, Branger P, Agostini D, Manrique A, Rouaud O, Bejot Y, Jacquin‐Piques A, Dygai‐Cochet I, Berriolo‐Riedinger A, Moreaud O, Sauvee M, Crépin CG, Pasquier F, Bombois S, Lebouvier T, Mackowiak‐Cordoliani M, Deramecourt V, Rollin‐Sillaire A, Cassagnaud‐Thuillet P, Chen Y, Semah F, Petyt G, Krolak‐Salmon P, Federico D, Danaila KL, Guilhermet Y, Magnier C, Makaroff Z, Rouch I, Xie J, Roubaud C, Coste M, David K, Sarciron A, Waissi AS, Scheiber C, Houzard C, Gabelle‐Deloustal A, Bennys K, Marelli C, Touati L, Mariano‐Goulart D, Verbizier‐Lonjon D, Jonveaux T, Benetos A, Kearney‐Schwartz A, Perret‐Guillaume C, Verger A, Vercelletto M, Boutoleau‐Bretonniere C, Pouclet‐Courtemanche H, Wagemann N, Pallardy A, Hugon J, Paquet C, Dumurgier J, Millet P, Queneau M, Dubois B, Epelbaum S, Levy M, Habert M, Novella J, Jaidi Y, Papathanassiou D, Morland D, Belliard S, Salmon A, Lejeune F, Hannequin D, Wallon D, Martinaud O, Zarea A, Chastan M, Pariente J, Thalamas C, Galitzky‐Gerber M, Tricoire Ricard A, Calvas F, Rigal E, Payoux P, Hitzel A, Delrieu J, Ousset P, Lala F, Sastre‐Hengan N, Stephens A, Guedj E. Added value of
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F‐florbetaben amyloid PET in the diagnostic workup of most complex patients with dementia in France: A naturalistic study. Alzheimers Dement 2017; 14:293-305. [DOI: 10.1016/j.jalz.2017.09.009] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 08/29/2017] [Accepted: 09/06/2017] [Indexed: 11/25/2022]
Affiliation(s)
- Mathieu Ceccaldi
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Thérèse Jonveaux
- Geriatric Department CHRU de Nancy–Hôpital Brabois Vandoeuvre‐les‐Nancy France
| | - Antoine Verger
- INSERM U947 Unité d'Imagerie Adaptative Diagnostique et Interventionnelle Nancy France
| | - Pierre Krolak‐Salmon
- Clinical and Research Memory Center of Lyon Hospices civils de Lyon, Université Claude Bernard Lyon 1 Inserm 1028 Lyon France
| | | | - Olivier Godefroy
- Neurology Department CHU Amiens Picardie–Hôpital Sud Amiens France
| | - Trevor Shields
- Nuclear Medicine Department CHU Amiens Picardie–Hôpital Sud Amiens France
| | - Audrey Perrotin
- Piramal Imaging Clinical Research and Development Berlin Germany
| | | | - Santiago Bullich
- AP‐HP–Hôpital Pitié Salpétrière Memory and Alzheimer Disease Institute IM2A Paris France
| | - Aleksandar Jovalekic
- Laboratoire d'Imagerie Biomédicale Sorbonne Universités, UPMC Univ Paris 06, Inserm U 1146, CNRS UMR 7371 Paris France
| | - Nicola Raffa
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Florence Pasquier
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Franck Semah
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Bruno Dubois
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Marie‐Odile Habert
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - David Wallon
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mathieu Chastan
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Pierre Payoux
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mathieu Ceccaldi
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Eric Guedj
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mathieu Ceccaldi
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Olivier Felician
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mira Didic
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Claude Gueriot
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Lejla Koric
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Radka Kletchkova‐Gantchev
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Eric Guedj
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Olivier Godefroy
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Daniela Andriuta
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Agnès Devendeville
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Diane Dupuis
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Ingrid Binot
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mélanie Barbay
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Marc‐Etienne Meyer
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Véronique Moullard
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Eloi Magnin
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Ludivine Chamard
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Sophie Haffen
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Olivier Morel
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Clément Drouet
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Hatem Boulahdour
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Philippe Goas
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Solène Querellou‐Lefranc
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Vincent Sayette
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Julien Cogez
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Pierre Branger
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Denis Agostini
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Alain Manrique
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Olivier Rouaud
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Yannick Bejot
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Agnès Jacquin‐Piques
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Inna Dygai‐Cochet
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Alina Berriolo‐Riedinger
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Olivier Moreaud
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mathilde Sauvee
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Céline Gallazzani Crépin
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Florence Pasquier
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Stéphanie Bombois
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Thibaud Lebouvier
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Marie‐Anne Mackowiak‐Cordoliani
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Vincent Deramecourt
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Adeline Rollin‐Sillaire
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Pascaline Cassagnaud‐Thuillet
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Yaohua Chen
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Franck Semah
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Grégory Petyt
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Pierre Krolak‐Salmon
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Denis Federico
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Keren Liora Danaila
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Yves Guilhermet
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Christophe Magnier
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Zaza Makaroff
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Isabelle Rouch
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Jing Xie
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Caroline Roubaud
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Marie‐Hélène Coste
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Kenny David
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Alain Sarciron
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Aziza Sediq Waissi
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Christian Scheiber
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Claire Houzard
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Audrey Gabelle‐Deloustal
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Karim Bennys
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Cecilia Marelli
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Lynda Touati
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Denis Mariano‐Goulart
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Delphine Verbizier‐Lonjon
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Thérèse Jonveaux
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Athanase Benetos
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Anna Kearney‐Schwartz
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Christine Perret‐Guillaume
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Antoine Verger
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Martine Vercelletto
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Claire Boutoleau‐Bretonniere
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Hélène Pouclet‐Courtemanche
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Nathalie Wagemann
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Amandine Pallardy
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Jacques Hugon
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Claire Paquet
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Julien Dumurgier
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Pascal Millet
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mathieu Queneau
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Bruno Dubois
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Stéphane Epelbaum
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Marcel Levy
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | | | - Jean‐Luc Novella
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Yacine Jaidi
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Dimitri Papathanassiou
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | | | - Serge Belliard
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Anne Salmon
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Florence Lejeune
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Didier Hannequin
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - David Wallon
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Olivier Martinaud
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Aline Zarea
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Mathieu Chastan
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | | | - Claire Thalamas
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | | | | | - Fabienne Calvas
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Emilie Rigal
- ToNIC, Toulouse NeuroImaging Center Université de Toulouse, Inserm, UPS Toulouse France
| | - Pierre Payoux
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Anne Hitzel
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Julien Delrieu
- Neurology Department CHU de Rouen–Hôpital Charles Nicolle Rouen France
| | - Pierre‐Jean Ousset
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Françoise Lala
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Nathalie Sastre‐Hengan
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Andrew Stephens
- AP‐HM–Hôpital de la Timone, Neurology and Neuropsychology Department Aix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes Marseille France
| | - Eric Guedj
- AP‐HM–Hôpital de la Timone, Nuclear Medicine Department Aix‐Marseille University, CERIMED, CNRS, INT, Institut de Neurosciences de la Timone Marseille France
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Bensaïdane MR, Beauregard JM, Poulin S, Buteau FA, Guimond J, Bergeron D, Verret L, Fortin MP, Houde M, Bouchard RW, Soucy JP, Laforce R. Clinical Utility of Amyloid PET Imaging in the Differential Diagnosis of Atypical Dementias and Its Impact on Caregivers. J Alzheimers Dis 2017; 52:1251-62. [PMID: 27104896 DOI: 10.3233/jad-151180] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Recent studies have supported a role for amyloid positron emission tomography (PET) imaging in distinguishing Alzheimer's disease (AD) pathology from other pathological protein accumulations leading to dementia. We investigated the clinical utility of amyloid PET in the differential diagnosis of atypical dementia cases and its impact on caregivers. Using the amyloid tracer 18F-NAV4694, we prospectively scanned 28 patients (mean age 59.3 y, s.d. 5.8; mean MMSE 21.4, s.d. 6.0) with an atypical dementia syndrome. Following a comprehensive diagnostic workup (i.e., history taking, neurological examination, blood tests, neuropsychological evaluation, MRI, and FDG-PET), no certain diagnosis could be arrived at. Amyloid PET was then conducted and classified as positive or negative. Attending physicians were asked to evaluate whether this result led to a change in diagnosis or altered management. They also reported their degree of confidence in the diagnosis. Caregivers were met after disclosure of amyloid PET results and completed a questionnaire/interview to assess the impact of the scan. Our cohort was evenly divided between positive (14/28) and negative (14/28) 18F-NAV4694 cases. Amyloid PET resulted in a diagnostic change in 9/28 cases (32.1%: 17.8% changed from AD to non-AD, 14.3% from non-AD to AD). There was a 44% increase in diagnostic confidence. Altered management occurred in 71.4% (20/28) of cases. Knowledge of amyloid status improved caregivers' outcomes in all domains (anxiety, depression, disease perception, future anticipation, and quality of life). This study suggests a useful additive role for amyloid PET in atypical cases with an unclear diagnosis beyond the extensive workup of a tertiary memory clinic. Amyloid PET increased diagnostic confidence and led to clinically significant alterations in management. The information gained from that test was well received by caregivers and encouraged spending quality time with their loved ones.
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Affiliation(s)
| | | | - Stéphane Poulin
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, QC, Canada
| | | | - Jean Guimond
- Département d'imagerie médicale, CHU de Québec, QC, Canada
| | - David Bergeron
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, QC, Canada
| | - Louis Verret
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, QC, Canada.,Département des Sciences Neurologiques, Université Laval, QC, Canada
| | | | - Michèle Houde
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, QC, Canada
| | - Rémi W Bouchard
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, QC, Canada.,Département des Sciences Neurologiques, Université Laval, QC, Canada
| | | | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, QC, Canada.,Département des Sciences Neurologiques, Université Laval, QC, Canada
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Additive value of amyloid-PET in routine cases of clinical dementia work-up after FDG-PET. Eur J Nucl Med Mol Imaging 2017; 44:2239-2248. [PMID: 28932894 DOI: 10.1007/s00259-017-3832-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 09/06/2017] [Indexed: 10/18/2022]
Abstract
PURPOSE In recent years, several [18F]-labeled amyloid-PET tracers have been developed and have obtained clinical approval. Despite their widespread scientific use, studies in routine clinical settings are limited. We therefore investigated the impact of [18F]-florbetaben (FBB)-PET on the diagnostic management of patients with suspected dementia that was still unclarified after [18F]-fluordeoxyglucose (FDG)-PET. METHODS All subjects were referred in-house with a suspected dementia syndrome due to neurodegenerative disease. After undergoing an FDG-PET exam, the cases were discussed by the interdisciplinary dementia board, where the most likely diagnosis as well as potential differential diagnoses were documented. Because of persistent diagnostic uncertainty, the patients received an additional FBB-PET exam. Results were interpreted visually and classified as amyloid-positive or amyloid-negative, and we then compared the individual clinical diagnoses before and after additional FBB-PET. RESULTS A total of 107 patients (mean age 69.4 ± 9.7y) were included in the study. The FBB-PET was rated as amyloid-positive in 65/107. In 83% of the formerly unclear cases, a final diagnosis was reached through FBB-PET, and the most likely prior diagnosis was changed in 28% of cases. The highest impact was observed for distinguishing Alzheimer's dementia (AD) from fronto-temporal dementia (FTLD), where FBB-PET altered the most likely diagnosis in 41% of cases. CONCLUSIONS FBB-PET has a high additive value in establishing a final diagnosis in suspected dementia cases when prior investigations such as FDG-PET are inconclusive. The differentiation between AD and FTLD was particularly facilitated by amyloid-PET, predicting a considerable impact on patient management, especially in the light of upcoming disease-modifying therapies.
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Barthel H, Sabri O. Clinical Use and Utility of Amyloid Imaging. J Nucl Med 2017; 58:1711-1717. [PMID: 28818990 DOI: 10.2967/jnumed.116.185017] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 08/10/2017] [Indexed: 11/16/2022] Open
Abstract
Currently, 3 amyloid PET tracers are approved and commercially available for clinical use. They allow for the accurate in vivo detection of amyloid plaques, one hallmark of Alzheimer disease. Here, we review the current knowledge on the clinical use and utility of amyloid imaging. Appropriate use criteria for the clinical application of amyloid imaging are established, and most currently available data point to their validity. Visual amyloid image analysis is highly standardized. Disclosure of amyloid imaging results is desired by many cognitively impaired subjects and seems to be safe once appropriate education is delivered to the disclosing clinicians. Regarding clinical utility, increasing evidence points to a change in diagnosis via amyloid imaging in about 30% of cases, to an increase in diagnostic confidence in about 60% of cases, to a change in patient management in about 60% of cases, and specifically to a change in medication in about 40% of cases. Also, amyloid imaging results seem to have a relevant impact on caregivers. Further, initial simulation studies point to a potential positive effect on patient outcome and to cost effectiveness of amyloid imaging. These features, however, will require confirmation in prospective clinical trials. More work is also required to determine the clinical utility of amyloid imaging specifically in subjects with mild cognitive impairment and in comparison with or in conjunction with other Alzheimer disease biomarkers. In summary, the clinical use of amyloid imaging is being studied, and the currently available data point to a relevant clinical utility of this imaging technique. Ongoing research will determine whether this accurate and noninvasive approach to amyloid plaque load detection will translate into a benefit to cognitively impaired subjects.
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Affiliation(s)
- Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
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Grill JD, Apostolova LG, Bullain S, Burns JM, Cox CG, Dick M, Hartley D, Kawas C, Kremen S, Lingler J, Lopez OL, Mapstone M, Pierce A, Rabinovici G, Roberts JS, Sajjadi SA, Teng E, Karlawish J. Communicating mild cognitive impairment diagnoses with and without amyloid imaging. ALZHEIMERS RESEARCH & THERAPY 2017; 9:35. [PMID: 28472970 PMCID: PMC5418690 DOI: 10.1186/s13195-017-0261-y] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/16/2017] [Accepted: 04/06/2017] [Indexed: 11/10/2022]
Abstract
Background Mild cognitive impairment (MCI) has an uncertain etiology and prognosis and may be challenging for clinicians to discuss with patients and families. Amyloid imaging may aid specialists in determining MCI etiology and prognosis, but creates novel challenges related to disease labeling. Methods We convened a workgroup to formulate recommendations for clinicians providing care to MCI patients. Results Clinicians should use the MCI diagnosis to validate patient and family concerns and educate them that the patient’s cognitive impairment is not normal for his or her age and education level. The MCI diagnosis should not be used to avoid delivering a diagnosis of dementia. For patients who meet Appropriate Use Criteria after standard-of-care clinical workup, amyloid imaging may position specialists to offer more information about etiology and prognosis. Clinicians must set appropriate expectations, including ensuring that patients and families understand the limitations of amyloid imaging. Communication of negative results should include that patients remain at elevated risk for dementia and that negative scans do not indicate a specific diagnosis or signify brain health. Positive amyloid imaging results should elicit further monitoring and conversations about appropriate advance planning. Clinicians should offer written summaries, including referral to appropriate social services. Conclusions In patients with MCI, there is a need to devote considerable time and attention to patient education and shared decision-making. Amyloid imaging may be a tool to aid clinicians. Careful management of patient expectations and communication of scan results will be critical to the appropriate use of amyloid imaging information.
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Affiliation(s)
- Joshua D Grill
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA. .,Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA. .,Institute for Memory Impairments and Neurological Disorders, University of California, 3204 Biological Sciences III, Irvine, CA, 92697, USA.
| | - Liana G Apostolova
- Alzheimer's Disease Center, Department of Neurology, Radiology, Medical and Molecular Genetics, University of Indiana, Indianapolis, IN, USA.,Mary S. Easton Center for Alzheimer's Disease Research, Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Szofia Bullain
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.,Department of Neurology, University of California, Irvine, CA, USA
| | | | - Chelsea G Cox
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | - Malcolm Dick
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA
| | | | - Claudia Kawas
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.,Department of Neurology, University of California, Irvine, CA, USA
| | - Sarah Kremen
- Mary S. Easton Center for Alzheimer's Disease Research, Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | | | | | - Mark Mapstone
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.,Department of Neurology, University of California, Irvine, CA, USA
| | - Aimee Pierce
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.,Department of Neurology, University of California, Irvine, CA, USA
| | | | - J Scott Roberts
- University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Seyed Ahmad Sajjadi
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, CA, USA.,Department of Neurology, University of California, Irvine, CA, USA
| | - Edmond Teng
- Mary S. Easton Center for Alzheimer's Disease Research, Department of Neurology, David Geffen School of Medicine at University of California, Los Angeles, CA, USA.,Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
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Chiotis K, Saint-Aubert L, Boccardi M, Gietl A, Picco A, Varrone A, Garibotto V, Herholz K, Nobili F, Nordberg A, Frisoni GB, Winblad B, Jack CR. Clinical validity of increased cortical uptake of amyloid ligands on PET as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework. Neurobiol Aging 2017; 52:214-227. [DOI: 10.1016/j.neurobiolaging.2016.07.012] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Revised: 06/10/2016] [Accepted: 07/06/2016] [Indexed: 12/31/2022]
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Diagnostic role of 11C-Pittsburgh compound B retention patterns and glucose metabolism by fluorine-18-fluorodeoxyglucose PET/CT in amnestic and nonamnestic mild cognitive impairment patients. Nucl Med Commun 2017; 37:1189-96. [PMID: 27341411 DOI: 10.1097/mnm.0000000000000569] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Amyloid imaging clinically is usually reported as positive or negative, and the role of amyloid topography has not been studied before. To evaluate in a clinical setting the regional distribution patterns of C-Pittsburgh compound B (C-PIB) and the fluorine-18-fluorodeoxyglucose (F-FDG) uptake in patients with mild cognitive impairment (MCI), we designed this study. METHODS We studied 81 consecutive MCI patients, 64 amnestic (A-MCI) and 17 nonamnestic (NA-MCI) by C-PIB and F-FDG PET/computed tomography, by visual analysis. PIB retention was classified according to the regional distribution into the following patterns: A (frontal, lateral temporal, basal ganglia and anterior cingulate) and B (global retention). F-FDG images were considered positive only if temporoparietal hypometabolism consistent with Alzheimer's disease was observed. RESULTS In 42 of the 64 A-MCI, C-PIB was positive. Twelve of the 42 positive A-MCI showed an A-pattern, all F-FDG negative, and 30 a B-pattern, 10 F-FDG positive and 20 F-FDG negative. Of the 17 NA-MCI, C-PIB was positive in three and F-FDG was positive in one. The different proportion of C-PIB positivity in A-MCI and NA-MCI was highly significant (P<0.001). CONCLUSION Two different C-PIB patterns were observed in MCI patients and for the A-pattern, glucose hypometabolism consistent with Alzheimer's disease is highly unlikely. These findings may contribute towards a better selection of patients for future potential treatments and also to optimize the use of F-FDG-PET/CT.
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41
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Grill JD, Cox CG, Kremen S, Mendez MF, Teng E, Shapira J, Ringman JM, Apostolova LG. Patient and caregiver reactions to clinical amyloid imaging. Alzheimers Dement 2017; 13:924-932. [PMID: 28174068 DOI: 10.1016/j.jalz.2017.01.001] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 12/15/2016] [Accepted: 01/02/2017] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Amyloid imaging is a tool that has recently become available to dementia specialists evaluating patients with possible Alzheimer's disease. Studies have assessed the impact of amyloid imaging on diagnostic and treatment decisions, but patient and family perspectives have received less attention. METHODS To examine how amyloid imaging affects the diagnostic experience of patients and families, we interviewed members of 26 patient-caregiver dyads with whom a neurologist discussed the option of amyloid positron emission tomography. RESULTS Most participants who chose to undergo amyloid imaging would choose to do so again. Regardless of the scan outcome, patients and caregivers commonly expressed relief on learning the scan results. Some participants expressed expectations that were beyond scan capabilities. DISCUSSION Amyloid imaging may provide information that patients and their families find useful. Clinicians must set correct expectations and ensure that families understand the limitations of amyloid imaging.
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Affiliation(s)
- Joshua D Grill
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA; Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA.
| | - Chelsea G Cox
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Sarah Kremen
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mario F Mendez
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA; Greater Los Angeles VA Healthcare System, Los Angeles, CA, USA
| | - Edmond Teng
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA; Greater Los Angeles VA Healthcare System, Los Angeles, CA, USA
| | - Jill Shapira
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA; Greater Los Angeles VA Healthcare System, Los Angeles, CA, USA
| | - John M Ringman
- Department of Neurology, University of Southern California, Los Angeles, CA, USA
| | - Liana G Apostolova
- Department of Neurology, University of California, Los Angeles, Los Angeles, CA, USA; Alzheimer's Disease Center, University of Indiana, Indianapolis, IN, USA; Department of Neurology, University of Indiana, Indianapolis, IN, USA; Department of Radiology, University of Indiana, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, University of Indiana, Indianapolis, IN, USA
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Zwan MD, Bouwman FH, Konijnenberg E, van der Flier WM, Lammertsma AA, Verhey FRJ, Aalten P, van Berckel BNM, Scheltens P. Diagnostic impact of [ 18F]flutemetamol PET in early-onset dementia. ALZHEIMERS RESEARCH & THERAPY 2017; 9:2. [PMID: 28093088 PMCID: PMC5240413 DOI: 10.1186/s13195-016-0228-4] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 12/08/2016] [Indexed: 12/20/2022]
Abstract
Background Early-onset dementia patients often present with atypical clinical symptoms, hampering an accurate clinical diagnosis. The purpose of the present study was to assess the diagnostic impact of the amyloid-positron emission tomography (PET) imaging agent [18F]flutemetamol in early-onset dementia patients, in terms of change in (confidence in) diagnosis and patient management plan. Methods This prospective bi-center study included 211 patients suspected of early-onset dementia who visited a tertiary memory clinic. Patients were eligible with Mini Mental State Examination ≥ 18 and age at diagnosis ≤ 70 years and in whom the diagnostic confidence was <90% after routine diagnostic work-up. All patients underwent [18F]flutemetamol PET, which was interpreted as amyloid-negative or amyloid-positive based on visual rating. Before and after disclosing the PET results, we assessed the diagnostic confidence (using a visual analog scale of 0–100%) and clinical diagnosis. The impact of [18F]flutemetamol PET on the patient management plan was also evaluated. Results [18F]flutemetamol PET scans were positive in 133 out of 211 (63%) patients, of whom 110 out of 144 (76%) patients had a pre-PET Alzheimer’s disease (AD) diagnosis and 23 out of 67 (34%) patients had a non-AD diagnosis. After disclosure of PET results, 41/211 (19%) diagnoses changed. Overall, diagnostic confidence increased from 69 ± 12% to 88 ± 15% after disclosing PET results (P < 0.001; in 87% of patients). In 79 (37%) patients, PET results led to a change in patient management and predominantly the initiation of AD medication when PET showed evidence for amyloid pathology. Conclusions [18F]flutemetamol PET changed clinical diagnosis, increased overall diagnostic confidence, and altered the patient management plan. Our results suggest that amyloid PET may have added value over the standardized diagnostic work-up in early-onset dementia patients with uncertain clinical diagnosis. This study provides evidence for the recommendations put forward in the appropriate use criteria for amyloid PET in clinical practice. Trial registration Nederlands Trial Register NTR3743. Registered 7 December 2012.
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Affiliation(s)
- Marissa D Zwan
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands. .,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands.
| | - Femke H Bouwman
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Elles Konijnenberg
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Frans R J Verhey
- School for Mental Health and Neuroscience, Alzheimer Centre Limburg, European Graduate School of Neuroscience EURON, Maastricht University, Maastricht, The Netherlands
| | - Pauline Aalten
- School for Mental Health and Neuroscience, Alzheimer Centre Limburg, European Graduate School of Neuroscience EURON, Maastricht University, Maastricht, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center & Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands
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Weston PS, Paterson RW, Dickson J, Barnes A, Bomanji JB, Kayani I, Lunn MP, Mummery CJ, Warren JD, Rossor MN, Fox NC, Zetterberg H, Schott JM. Diagnosing Dementia in the Clinical Setting: Can Amyloid PET Provide Additional Value Over Cerebrospinal Fluid? J Alzheimers Dis 2016; 54:1297-1302. [PMID: 27567830 PMCID: PMC5181662 DOI: 10.3233/jad-160302] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2016] [Indexed: 11/28/2022]
Abstract
Cerebrospinal fluid (CSF) measures of amyloid and tau are the first-line Alzheimer's disease biomarkers in many clinical centers. We assessed if and when the addition of amyloid PET following CSF measurements provides added diagnostic value. Twenty patients from a cognitive clinic, who had undergone detailed assessment including CSF measures, went on to have amyloid PET. The treating neurologist's working diagnosis, and degree of diagnostic certainty, was assessed both before and after the PET. Amyloid PET changed the diagnosis in 7/20 cases. Amyloid PET can provide added diagnostic value, particularly in young-onset, atypical dementias, where CSF results are borderline and diagnostic uncertainty remains.
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Affiliation(s)
- Philip S.J. Weston
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Ross W. Paterson
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - John Dickson
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Anna Barnes
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Jamshed B. Bomanji
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Irfan Kayani
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Michael P. Lunn
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, UK
| | - Catherine J. Mummery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Jason D. Warren
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Martin N. Rossor
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Nick C. Fox
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, UK
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Jonathan M. Schott
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
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Multimodality Imaging of Neurodegenerative Processes: Part 2, Atypical Dementias. AJR Am J Roentgenol 2016; 207:883-895. [DOI: 10.2214/ajr.14.12910] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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45
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Multimodality Imaging of Neurodegenerative Processes: Part 1, The Basics and Common Dementias. AJR Am J Roentgenol 2016; 207:871-882. [PMID: 27505704 DOI: 10.2214/ajr.14.12842] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
OBJECTIVE Multimodality imaging plays an important role in the structural and functional characterization of neurodegenerative conditions. This article illustrates the basic concepts of anatomic, metabolic, and amyloid imaging and describes the application of a multimodality approach in the evaluation of patients with the more common neurodegenerative dementia processes. Proper utilization of clinically available imaging techniques allows greater insight into these common disease processes. CONCLUSION Recognizing the strength of combined anatomic, metabolic, and amyloid imaging can allow a more complete and confident assessment of patients with common degenerative dementias. This added knowledge can improve clinical care, allow initiation of appropriate therapies and counseling, and improve prognostication.
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Chételat G, Ossenkoppele R, Villemagne VL, Perrotin A, Landeau B, Mézenge F, Jagust WJ, Dore V, Miller BL, Egret S, Seeley WW, van der Flier WM, La Joie R, Ames D, van Berckel BNM, Scheltens P, Barkhof F, Rowe CC, Masters CL, de La Sayette V, Bouwman F, Rabinovici GD. Atrophy, hypometabolism and clinical trajectories in patients with amyloid-negative Alzheimer's disease. Brain 2016; 139:2528-39. [PMID: 27357349 DOI: 10.1093/brain/aww159] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 05/16/2016] [Indexed: 11/14/2022] Open
Abstract
See O'Sullivan and Vann (doi:10.1093/aww166) for a scientific commentary on this article.About 15% of patients clinically diagnosed with Alzheimer's disease do not show high tracer retention on amyloid positon emission tomography imaging. The present study investigates clinical and demographic features, patterns of brain atrophy and hypometabolism and longitudinal clinical trajectories of these patients. Forty amyloid-negative patients carrying a pre-scan diagnosis of Alzheimer's disease dementia from four centres were included (11/29 females/males; mean age = 67 ± 9). Detailed clinical histories, including the clinical diagnoses before and after the amyloid scan and at follow-up, were collected. Patients were classified according to their pre-scan clinical phenotype as amnestic (memory predominant), non-amnestic (predominant language, visuospatial or frontal symptoms), or non-specific (diffuse cognitive deficits). Demographic, clinical, neuropsychological, magnetic resonance imaging and (18)F-fluorodeoxyglucose positon emission tomography data were compared to 27 amyloid-positive typical Alzheimer's disease cases (14/13 females/males; mean age = 71 ± 10) and 29 amyloid-negative controls (15/14 females/males; mean age = 69 ± 12) matched for age, gender and education. There were 21 amnestic, 12 non-amnestic, and seven non-specific amyloid-negative Alzheimer's disease cases. Amyloid-negative subgroups did not differ in age, gender or education. After the amyloid scan, clinicians altered the diagnosis in 68% of amyloid-negative patients including 48% of amnestic versus 94% of non-amnestic and non-specific cases. Amnestic amyloid-negative cases were most often reclassified as frontotemporal dementia, non-amnestic as frontotemporal dementia or corticobasal degeneration, and non-specific as dementia with Lewy bodies or unknown diagnosis. The longer-term clinical follow-up was consistent with the post-scan diagnosis in most cases (90%), including in amnestic amyloid-negative cases whose post-positon emission tomography diagnosis remained Alzheimer's disease. While the non-amnestic and non-specific amyloid-negative cases usually showed patterns of atrophy and hypometabolism suggestive of another degenerative disorder, the amnestic amyloid-negative cases had subtle atrophy and hypometabolism, restricted to the retrosplenial/posterior cingulate cortex. Patients with a negative amyloid positon emission tomography scan following an initial clinical diagnosis of Alzheimer's disease have heterogeneous clinical presentations and neuroimaging profiles; a majority showed a clinical progression that was consistent with a neurodegenerative condition. In contrast, in the subgroup of amnestic amyloid-negative cases, the clinical presentation and follow-up usually remained consistent with Alzheimer's disease. An alternative diagnosis was not made in about half of the amnestic amyloid-negative cases, highlighting the need for a clinical framework and terminology to define these patients, who may have underlying limbic-predominant, non-amyloid-related pathologies.
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Affiliation(s)
- Gaël Chételat
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France
| | - Rik Ossenkoppele
- 5 VU University Medical Centre, Neuroscience Campus Amsterdam, Department of Neurology and Alzheimer Centre, 1081 HZ Amsterdam, The Netherlands 6 VU University Medical Centre, Department of Radiology and Nuclear Medicine, 1081 HZ Amsterdam, The Netherlands 7 University of California San Francisco, Memory and Aging Centre, Department of Neurology, San Francisco, CA 94720, USA
| | - Victor L Villemagne
- 8 Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, VIC 3084, Australia
| | - Audrey Perrotin
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France
| | - Brigitte Landeau
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France
| | - Florence Mézenge
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France
| | - William J Jagust
- 9 Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley CA 94720, USA; Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Vincent Dore
- 8 Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, VIC 3084, Australia 10 Commonwealth Scientific Industrial Research Organization Health and Biosecurity Flagship, Brisbane, QLD 4006, Australia
| | - Bruce L Miller
- 7 University of California San Francisco, Memory and Aging Centre, Department of Neurology, San Francisco, CA 94720, USA
| | - Stéphanie Egret
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France
| | - William W Seeley
- 7 University of California San Francisco, Memory and Aging Centre, Department of Neurology, San Francisco, CA 94720, USA
| | - Wiesje M van der Flier
- 6 VU University Medical Centre, Department of Radiology and Nuclear Medicine, 1081 HZ Amsterdam, The Netherlands 11 VU University Medical Centre, Department of Epidemiology and Biostatistics, 1081 HZ Amsterdam, The Netherlands
| | - Renaud La Joie
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France
| | - David Ames
- 12 Academic Unit for Psychiatry of Old Age, St. Vincent's Health, Department of Psychiatry, The University of Melbourne, Kew, VIC 3101, Australia 13 National Ageing Research Institute, Parkville, VIC 3052, Australia
| | - Bart N M van Berckel
- 6 VU University Medical Centre, Department of Radiology and Nuclear Medicine, 1081 HZ Amsterdam, The Netherlands
| | - Philip Scheltens
- 5 VU University Medical Centre, Neuroscience Campus Amsterdam, Department of Neurology and Alzheimer Centre, 1081 HZ Amsterdam, The Netherlands
| | - Frederik Barkhof
- 6 VU University Medical Centre, Department of Radiology and Nuclear Medicine, 1081 HZ Amsterdam, The Netherlands
| | - Christopher C Rowe
- 8 Department of Nuclear Medicine and Centre for PET, Austin Health, Melbourne, VIC 3084, Australia
| | - Colin L Masters
- 14 The Florey Institute of Neuroscience and Mental Health, Mental Health, Melbourne, VIC 3010, Australia
| | - Vincent de La Sayette
- 1 INSERM, U1077, 14074 Caen, France 2 Université de Caen Basse-Normandie UMR-S1077, 14074 Caen, France 3 Ecole Pratique des Hautes Etudes, UMR-S1077, 14074 Caen, France 4 CHU de Caen, U1077, 14000 Caen, France 15 CHU de Caen, Service de Neurologie, 14000 Caen, France
| | - Femke Bouwman
- 5 VU University Medical Centre, Neuroscience Campus Amsterdam, Department of Neurology and Alzheimer Centre, 1081 HZ Amsterdam, The Netherlands
| | - Gil D Rabinovici
- 7 University of California San Francisco, Memory and Aging Centre, Department of Neurology, San Francisco, CA 94720, USA 9 Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley CA 94720, USA; Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Patterns of 11 C-PIB cerebral retention in mild cognitive impairment patients. Rev Esp Med Nucl Imagen Mol 2016. [DOI: 10.1016/j.remnie.2015.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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48
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Ossenkoppele R, Schonhaut DR, Schöll M, Lockhart SN, Ayakta N, Baker SL, O'Neil JP, Janabi M, Lazaris A, Cantwell A, Vogel J, Santos M, Miller ZA, Bettcher BM, Vossel KA, Kramer JH, Gorno-Tempini ML, Miller BL, Jagust WJ, Rabinovici GD. Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. Brain 2016; 139:1551-67. [PMID: 26962052 PMCID: PMC5006248 DOI: 10.1093/brain/aww027] [Citation(s) in RCA: 730] [Impact Index Per Article: 91.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2015] [Revised: 12/21/2015] [Accepted: 01/11/2016] [Indexed: 11/13/2022] Open
Abstract
SEE SARAZIN ET AL DOI101093/BRAIN/AWW041 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: The advent of the positron emission tomography tracer (18)F-AV1451 provides the unique opportunity to visualize the regional distribution of tau pathology in the living human brain. In this study, we tested the hypothesis that tau pathology is closely linked to symptomatology and patterns of glucose hypometabolism in Alzheimer's disease, in contrast to the more diffuse distribution of amyloid-β pathology. We included 20 patients meeting criteria for probable Alzheimer's disease dementia or mild cognitive impairment due to Alzheimer's disease, presenting with a variety of clinical phenotypes, and 15 amyloid-β-negative cognitively normal individuals, who underwent (18)F-AV1451 (tau), (11)C-PiB (amyloid-β) and (18)F-FDG (glucose metabolism) positron emission tomography, apolipoprotein E (APOE) genotyping and neuropsychological testing. Voxel-wise contrasts against controls (at P < 0.05 family-wise error corrected) showed that (18)F-AV1451 and (18)F-FDG patterns in patients with posterior cortical atrophy ('visual variant of Alzheimer's disease', n = 7) specifically targeted the clinically affected posterior brain regions, while (11)C-PiB bound diffusely throughout the neocortex. Patients with an amnestic-predominant presentation (n = 5) showed highest (18)F-AV1451 retention in medial temporal and lateral temporoparietal regions. Patients with logopenic variant primary progressive aphasia ('language variant of Alzheimer's disease', n = 5) demonstrated asymmetric left greater than right hemisphere (18)F-AV1451 uptake in three of five patients. Across 30 FreeSurfer-defined regions of interest in 16 Alzheimer's disease patients with all three positron emission tomography scans available, there was a strong negative association between (18)F-AV1451 and (18)F-FDG uptake (Pearson's r = -0.49 ± 0.07, P < 0.001) and less pronounced positive associations between (11)C-PiB and (18)F-FDG (Pearson's r = 0.16 ± 0.09, P < 0.001) and (18)F-AV1451 and (11)C-PiB (Pearson's r = 0.18 ± 0.09, P < 0.001). Voxel-wise linear regressions thresholded at P < 0.05 (uncorrected) showed that, across all patients, younger age was associated with greater (18)F-AV1451 uptake in wide regions of the neocortex, while older age was associated with increased (18)F-AV1451 in the medial temporal lobe. APOE ϵ4 carriers showed greater temporal and parietal (18)F-AV1451 uptake than non-carriers. Finally, worse performance on domain-specific neuropsychological tests was associated with greater (18)F-AV1451 uptake in key regions implicated in memory (medial temporal lobes), visuospatial function (occipital, right temporoparietal cortex) and language (left > right temporoparietal cortex). In conclusion, tau imaging-contrary to amyloid-β imaging-shows a strong regional association with clinical and anatomical heterogeneity in Alzheimer's disease. Although preliminary, these results are consistent with and expand upon findings from post-mortem, animal and cerebrospinal fluid studies, and suggest that the pathological aggregation of tau is closely linked to patterns of neurodegeneration and clinical manifestations of Alzheimer's disease.
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Affiliation(s)
- Rik Ossenkoppele
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA Department of Neurology and Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Daniel R Schonhaut
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Michael Schöll
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA MedTech West and the Department of Clinical Neuroscience and Rehabilitation, University of Gothenburg, Sweden
| | - Samuel N Lockhart
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Nagehan Ayakta
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Suzanne L Baker
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - James P O'Neil
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Mustafa Janabi
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Andreas Lazaris
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Averill Cantwell
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Jacob Vogel
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Miguel Santos
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Brianne M Bettcher
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Rocky Mountain Alzheimer's Disease Center, Departments of Neurosurgery and Neurology, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Keith A Vossel
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Gil D Rabinovici
- Memory and Aging Center, University of California San Francisco, San Francisco, CA, USA Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
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Canadian Consensus Guidelines on Use of Amyloid Imaging in Canada: Update and Future Directions from the Specialized Task Force on Amyloid imaging in Canada. Can J Neurol Sci 2016; 43:503-12. [DOI: 10.1017/cjn.2015.401] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
AbstractPositron emission tomography (PET) imaging of brain amyloid beta is now clinically available in several countries including the United States and the United Kingdom, but not Canada. It has become an established technique in the field of neuroimaging of aging and dementia, with data incorporated in the new consensus guidelines for the diagnosis of Alzheimer disease and predementia Alzheimer’s disease–related conditions. At this point, there are three US Food and Drug Administration– and European Union–approved tracers. Guided by appropriate use criteria developed in 2013 by the Alzheimer’s Association and the Society of Nuclear Medicine and Molecular Imaging, the utility of amyloid imaging in medical practice is now supported by a growing body of research. In this paper, we aimed to provide an update on the 2012 Canadian consensus guidelines to dementia care practitioners on proper use of amyloid imaging. We also wished to generate momentum for the industry to submit a new drug proposal to Health Canada. A group of local, national, and international dementia experts and imaging specialists met to discuss scenarios in which amyloid PET could be used appropriately. Peer-reviewed and published literature between January 2004 and May 2015 was searched. Technical and regulatory considerations pertaining to Canada were considered. The results of a survey of current practices in Canadian dementia centers were considered. A set of specific clinical and research guidelines was agreed on that defines the types of patients and clinical circumstances in which amyloid PET could be used in Canada. Future research directions were also outlined, notably the importance of studies that would assess the pharmaco-economics of amyloid imaging.
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50
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Sadeghi MM. Molecular cardiovascular imaging is ready for prime time: almost there. J Nucl Cardiol 2016; 23:67-70. [PMID: 26542993 DOI: 10.1007/s12350-015-0237-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 06/30/2015] [Indexed: 10/22/2022]
Affiliation(s)
- Mehran M Sadeghi
- Section of Cardiovascular Medicine and Cardiovascular Research Center, Yale School of Medicine, New Haven, CT, USA.
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA.
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