Quantitative appraisal of the Amyloid Imaging Taskforce appropriate use criteria for amyloid-PET

2018 ◽  
Vol 14 (8) ◽  
pp. 1088-1098 ◽  
Author(s):  
Daniele Altomare ◽  
Clarissa Ferrari ◽  
Cristina Festari ◽  
Ugo Paolo Guerra ◽  
Cristina Muscio ◽  
...  
2016 ◽  
Vol 41 (1-2) ◽  
pp. 80-92 ◽  
Author(s):  
Michael Grundman ◽  
Keith A. Johnson ◽  
Ming Lu ◽  
Andrew Siderowf ◽  
Grazia Dell''Agnello ◽  
...  

Background: Published appropriate use criteria (AUC) describe patients for whom amyloid positron emission tomography (PET) might be most useful. This study compared the impact of amyloid PET on diagnosis and management in subjects likely to either meet or not meet AUC. Methods: Physicians provided a provisional diagnosis and management plan for patients presenting with cognitive decline before and after amyloid PET imaging with florbetapir F 18. Participants were classified as AUC-like or not, based on the prescan diagnosis and demographic features. Results: In all, 125 of 229 participants (55%) were classified as AUC-like. Sixty-two percent of the AUC-like subjects had a change in diagnosis after scanning compared with 45% of the non-AUC subjects (p = 0.011). Both groups demonstrated high rates of change in their management plans after scanning (88.0% for AUC-like cases, 85.6% for non-AUC cases). Conclusions: The impact of amyloid imaging on diagnosis and planned management was maintained and, if anything, amplified in AUC-like patients.


2013 ◽  
Vol 9 (1) ◽  
pp. E1-E16 ◽  
Author(s):  
Keith A. Johnson ◽  
Satoshi Minoshima ◽  
Nicolaas I. Bohnen ◽  
Kevin J. Donohoe ◽  
Norman L. Foster ◽  
...  

Medicine ◽  
2019 ◽  
Vol 98 (29) ◽  
pp. e16509
Author(s):  
Eva María Triviño-Ibáñez ◽  
Raquel Sánchez-Vañó ◽  
Pablo Sopena-Novales ◽  
Juan Carlos Romero-Fábrega ◽  
Antonio Rodríguez-Fernández ◽  
...  

2018 ◽  
Vol 65 (3) ◽  
pp. 765-779 ◽  
Author(s):  
Fermín Segovia ◽  
Manuel Gómez-Río ◽  
Raquel Sánchez-Vañó ◽  
Juan Manuel Górriz ◽  
Javier Ramírez ◽  
...  

2014 ◽  
Vol 10 ◽  
pp. P248-P249
Author(s):  
Andrew Siderowf ◽  
Michael Pontecorvo ◽  
Adam S. Fleisher ◽  
Anil K. Nair ◽  
Ming Lu ◽  
...  

2019 ◽  
Vol 15 (11) ◽  
pp. 1458-1467 ◽  
Author(s):  
Arno de Wilde ◽  
Rik Ossenkoppele ◽  
Wiesje Pelkmans ◽  
Femke Bouwman ◽  
Colin Groot ◽  
...  

2013 ◽  
Vol 9 (4) ◽  
pp. e106-e109 ◽  
Author(s):  
Keith A. Johnson ◽  
Satoshi Minoshima ◽  
Nicolaas I. Bohnen ◽  
Kevin J. Donohoe ◽  
Norman L. Foster ◽  
...  

2013 ◽  
Vol 54 (7) ◽  
pp. 1011-1013 ◽  
Author(s):  
K. A. Johnson ◽  
S. Minoshima ◽  
N. I. Bohnen ◽  
K. J. Donohoe ◽  
N. L. Foster ◽  
...  

2021 ◽  
Vol 92 (8) ◽  
pp. A9.1-A9
Author(s):  
Anna Fitzgerald ◽  
Flavia Loreto ◽  
Mara Golemme ◽  
Zarni Win ◽  
Neva Patel ◽  
...  

Objectives/AimsDepression has been reported as a possible risk factor for Alzheimer’s Disease, but also as one of the clinical features of Alzheimer’s as well as other dementias. Further, depression has long been associated with cognitive impairment in the absence of neurodegeneration (Connors et al. 2018). Here we sought to ascertain the prevalence of clinical depression in patients meeting widely accepted Appropriate Use Criteria for Amyloid PET Imaging (API). We examined the prevalence of lifetime depression in patients undergoing clinical API in a real-world clinical setting and compared our findings with population data from community-dwelling older adults. We also examined whether rates of depression were higher in amyloid positive or negative groups.MethodsOne-hundred-and-eighty-five older adults (mean age 67.079.37, 49% females) underwent diagnostic workup, including API, at the Imperial Memory Clinic between January 2017 and June 2019. API was performed in line with appropriate use criteria after multidisciplinary team discussion. History of depressive symptoms and features of depression were evaluated through a review of hospital records and clinical correspondence. Patients were defined as having a history of depression if there was evidence of previous or current depressive symptoms and/or of a formal diagnosis of depression in their clinical records.ResultsBased on visual reads, 83 individuals had positive Amyloid-PET scans and 102 were negative. Overall, 102 (55%) patients(mean age=66.758.99, 56% females) had a history of lifetime depressive symptoms, compared with just 12 and 19% of elderly individuals in the general population (McDougall et al. 2007; Biddulph et al. 2014). Of the 92 patients for whom further information regarding depression onset were available, 54 (58.7%) had early symptom onset (age <60), and 38 (41.3%) had late symptom onset (age ≥s60). At the time of the clinical assessment at the Imperial Memory Clinic, 71 of those 102 (69.6%) were on active treatment for depression. Finally, depression was not associated with amyloid status (χ2(1) =1.12p=.26), with 42 (41.2%) amyloid-positive and 60 (58.8%) amyloid-negative patients reporting a history of depression.ConclusionsOver half of patients with suspected cognitive impairment and meeting appropriate use criteria for clinical API had a history of depression, regardless of amyloid status. Depression is an important but incompletely understood factor in referral for evaluation with Amyloid-PET.


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