Added value and limitations of amyloid-PET imaging: review and analysis of selected cases of mild cognitive impairment and dementia

References

• Abramson, S., Walders, N., Applegate, K. E., Gilkeson, R. C., & Robbin, M. R. (2000). Impact in the emergency department of unenhanced CT on diagnostic confidence and therapeutic efficacy in patients with suspected renal colic: A prospective survey. 2000 ARRS President’s Award. American roentgen ray society. American Journal of Roentgenology, 175, 1689–1695. doi:10.2214/ajr.175.6.1751689
   PubMed Web of Science ®Google Scholar
• Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., … Phelps, C. H. (2011). The diagnosis of mild cognitive impairment due to Alzheimer’s disease: Recommendations from the national institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia : the Journal of the Alzheimer’s Association, 7, 270–279. doi:10.1016/j.jalz.2011.03.008
   PubMed Web of Science ®Google Scholar
• Alzheimer’s Assocation. Retrieved October 1, 2015, from http://www.alz.org/publichealth/earlydetection.asp
   Google Scholar
• Barker, W. W., Luis, C. A., Kashuba, A., Luis, M., Harwood, D. G., Loewenstein, D., … Waters, R. (2002). Relative frequencies of Alzheimer disease, Lewy body, vascular and frontotemporal dementia, and hippocampal sclerosis in the State of Florida Brain Bank. Alzheimer Disease & Associated Disorders, 16, 203–212. doi:10.1097/00002093-200210000-00001
   PubMed Web of Science ®Google Scholar
• Beach, T. G., Monsell, S. E., Phillips, L. E., & Kukull, W. (2012). Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010. Journal of Neuropathology and Experimental Neurology, 71, 266–273. doi:10.1097/NEN.0b013e31824b211b
   PubMed Web of Science ®Google Scholar
• Beach, T. G., Schneider, J. A., Sue, L. I., Serrano, G., Dugger, B. N., Monsell, S. E., & Kukull, W. (2014). Theoretical impact of Florbetapir (18F) amyloid imaging on diagnosis of alzheimer dementia and detection of preclinical cortical amyloid. Journal of Neuropathology and Experimental Neurology, 73, 948–953. doi:10.1097/nen.0000000000000114
   PubMed Web of Science ®Google Scholar
• Binnewijzend, M. A. A., Benedictus, M. R., Kuijer, J. P. A., Van Der Flier, W. M., Tenuissen, C. E., Prins, N. D., … Barkhof, F. (2016). Cerebral perfusion in the predementia stages of Alzheimer’s disease[J]. European Radiology, 26, 506–514. doi:10.1007/s00330-015-3834-9
   PubMed Web of Science ®Google Scholar
• Blendon, R. J., Benson, J. M., Wikler, E. M., Weldon, K. J., Georges, J., Baumgart, M., & Kallmyer, B. A. (2012). The impact of experience with a family member with alzheimer’s disease on views about the disease across five countries. International Journal of Alzheimer’s Disease, 2012, 903645. doi:10.1155/2012/903645
   PubMedGoogle Scholar
• Camus, V., Payoux, P., Barre, L., Desgranges, B., Voisin, T., Tauber, C., … Guilloteau, D. (2012). Using PET with 18F-AV-45 (florbetapir) to quantify brain amyloid load in a clinical environment. European Journal of Nuclear Medicine and Molecular Imaging, 39, 621–631. doi:10.1007/s00259-011-2021-8
   PubMed Web of Science ®Google Scholar
• Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., Van Der Flier, W. M., Ossenkoppele, R., … Frisoni, G. B. (2015). Mild cognitive impairment with suspected nonamyloid pathology (SNAP): Prediction of progression. Neurology, 84, 508–515. doi:10.1212/wnl.0000000000001209
   PubMed Web of Science ®Google Scholar
• Clark, C. M., Pontecorvo, M. J., Beach, T. G., Bedell, B. J., Coleman, R. E., Doraiswamy, P. M., … Skovronsky, D. M. (2012). Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-beta plaques: A prospective cohort study. Lancet Neurology, 11, 669–678. doi:10.1016/s1474-4422(12)70142-4
   PubMed Web of Science ®Google Scholar
• Doraiswamy, P. M., Sperling, R. A., Johnson, K., Reiman, E. M., Wong, T. Z., Sabbagh, M. N., … Pontecorvo, M. J. (2014). Florbetapir F 18 amyloid PET and 36-month cognitive decline: A prospective multicenter study. Molecular Psychiatry, 19, 1044–1051. doi:10.1038/mp.2014.9
   PubMed Web of Science ®Google Scholar
• Fleisher, A. S., Chen, K., Liu, X., Ayutyanont, N., Roontiva, A., Thiyyagura, P., … Reiman, E. M. (2013). Apolipoprotein E epsilon4 and age effects on florbetapir positron emission tomography in healthy aging and Alzheimer disease. Neurobiology of Aging, 34, 1–12. doi:10.1016/j.neurobiolaging.2012.04.017
   PubMed Web of Science ®Google Scholar
• Fleisher, A. S., Chen, K., Liu, X., Roontiva, A., Thiyyagura, P., Ayutyanont, N., … Reiman, E. M. (2011). Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease. Archives of Neurology, 68, 1404–1411. doi:10.1001/archneurol.2011.150
   PubMedGoogle Scholar
• Grundman, M., Pontecorvo, M. J., Salloway, S. P., Doraiswamy, P. M., Fleisher, A. S., Sadowsky, C. H., … Mintun, M. A. (2013). Potential impact of amyloid imaging on diagnosis and intended management in patients with progressive cognitive decline. Alzheimer Disease and Associated Disorders, 27, 4–15. doi:10.1097/WAD.0b013e318279d02a
   PubMed Web of Science ®Google Scholar
• Hall, G. R., Shapira, J., Gallagher, M., & Denny, S. S. (2013). Managing differences: Care of the person with frontotemporal degeneration. Journal of Gerontological Nursing, 39, 10–14. doi:10.3928/00989134-20130131-02
   PubMed Web of Science ®Google Scholar
• Imaging Dementia–Evidence for Amyloid Scanning. Imaging Dementia— Evidence for Amyloid Scanning (IDEAS) Study. Retrieved September 1, 2015, from. https://clinicaltrials.gov/ct2/show/NCT02420756?term=ideas&rank=1
   Google Scholar
• Jack, C. R., Jr., Knopman, D. S., Chetelat, G., Dickson, D., Fagan, A. M., Frisoni, G. B., … Vos, S. J. (2016). Suspected non-Alzheimer disease pathophysiology–concept and controversy. Nature Reviews. Neurology, 12, 117–124. doi:10.1038/nrneurol.2015.251
   PubMed Web of Science ®Google Scholar
• Jack, C. R., Jr., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Mielke, M. M., … Petersen, R. C. (2014). Age-specific population frequencies of cerebral beta-amyloidosis and neurodegeneration among people with normal cognitive function aged 50-89 years: A cross-sectional study. Lancet Neurology, 13, 997–1005. doi:10.1016/s1474-4422(14)70194-2
   PubMed Web of Science ®Google Scholar
• Jansen, W. J., Ossenkoppele, R., Knol, D. L., Tijms, B. M., Scheltens, P., Verhey, F. R., … Zetterberg, H. (2015). Prevalence of cerebral amyloid pathology in persons without dementia: A meta-analysis. Jama, 313, 1924–1938. doi:10.1001/jama.2015.4668
   PubMed Web of Science ®Google Scholar
• Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., … Thies, W. H. (2013). Appropriate use criteria for amyloid PET: A report of the amyloid imaging task force, the society of nuclear medicine and molecular imaging, and the alzheimer’s association. Alzheimer’s & Dementia : the Journal of the Alzheimer’s Association, 9, e-1-e-16. doi:10.1016/j.jalz.2013.01.002
   Google Scholar
• Kelley, J. M., Kraft-Todd, G., Schapira, L., Kossowsky, J., & Riess, H. (2014). The influence of the patient-clinician relationship on healthcare outcomes: A systematic review and meta-analysis of randomized controlled trials. Plos One, 9, e94207. doi:10.1371/journal.pone.0094207
   PubMedGoogle Scholar
• Knopman, D. S., Dekosky, S. T., Cummings, J. L., Chui, H., Corey-Bloom, J., Relkin, N., … Stevens, J. C. (2001). Practice parameter: Diagnosis of dementia (an evidence-based review). Report of the quality standards subcommittee of the American academy of neurology. Neurology, 56, 1143–1153. doi:10.1212/WNL.56.9.1143
   PubMed Web of Science ®Google Scholar
• Ma, Y., Zhang, S., Li, J., Zheng, D. M., Guo, Y., Feng, J., & Ren, W. D. (2014). Predictive accuracy of amyloid imaging for progression from mild cognitive impairment to Alzheimer disease with different lengths of follow-up: A meta-analysis. [Corrected]. Medicine (Baltimore), 93, e150. doi:10.1097/MD.0000000000000150
   PubMedGoogle Scholar
• Mesulam, M. M., Rogalski, E. J., Wieneke, C., Hurley, R. S., Geula, C., Bigio, E. H., … Weintraub, S. (2014). Primary progressive aphasia and the evolving neurology of the language network. Nature Reviews. Neurology, 10, 554–569. doi:10.1038/nrneurol.2014.159
   PubMed Web of Science ®Google Scholar
• Mitsis, E. M., Bender, H. A., Kostakoglu, L., Machac, J., Martin, J., Woehr, J. L., … Gandy, S. (2014). A consecutive case series experience with [18 F] florbetapir PET imaging in an urban dementia center: Impact on quality of life, decision making, and disposition. Molecular Neurodegeneration, 9, 10. doi:10.1186/1750-1326-9-10
   PubMed Web of Science ®Google Scholar
• Monsell, S. E., Kukull, W. A., Roher, A. E., Maarouf, C. L., Serrano, G., Beach, T. G., … Reiman, E. M. (2015). Characterizing apolipoprotein E epsilon4 carriers and noncarriers with the clinical diagnosis of mild to moderate alzheimer dementia and minimal beta-amyloid peptide plaques. JAMA Neurology, 72, 1124–1131. doi:10.1001/jamaneurol.2015.1721
   PubMed Web of Science ®Google Scholar
• Morris, E., Chalkidou, A., Hammers, A., Peacock, J., Summers, J., & Keevil, S. (2016). Diagnostic accuracy of (18)F amyloid PET tracers for the diagnosis of Alzheimer’s disease: A systematic review and meta-analysis. European Journal of Nuclear Medicine and Molecular Imaging, 43, 374–385. doi:10.1007/s00259-015-3228-x
   PubMed Web of Science ®Google Scholar
• Musiek, E. S., & Holtzman, D. M. (2015). Three dimension of the amyloid hypothesis: Time, space, and “wingmen”. Nature Neuroscience, 18, 800–806. doi:10.1038/nn.4018
   PubMed Web of Science ®Google Scholar
• Nasreddine, Z. S., Phillips, N. A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., … Chertkow, H. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695–699. doi:10.1111/j.1532-5415.2005.53221.x
   PubMed Web of Science ®Google Scholar
• Nordlund, A., Rolstad, S., Hellstrom, P., Sjogren, M., Hansen, S., & Wallin, A. (2005). The Goteborg MCI study: Mild cognitive impairment is a heterogeneous condition. Journal of Neurology, Neurosurgery, and Psychiatry, 76, 1485–1490. doi:10.1136/jnnp.2004.050385
   PubMed Web of Science ®Google Scholar
• Ossenkoppele, R., Jansen, W. J., Rabinovici, G. D., Knol, D. L., Van Der Flier, W. M., Van Berckel, B. N., … Brooks, D. J. (2015). Prevalence of amyloid PET positivity in dementia syndromes: A meta-analysis. Jama, 313, 1939–1949. doi:10.1001/jama.2015.4669
   PubMed Web of Science ®Google Scholar
• Ossenkoppele, R., Pijnenburg, Y. A., Perry, D. C., Cohn-Sheehy, B. I., Scheltens, N. M., Vogel, J. W., … Rabinovici, G. D. (2015). The behavioural/dysexecutive variant of Alzheimer’s disease: Clinical, neuroimaging and pathological features. Brain, 138, 2732–2749. doi:10.1093/brain/awv191
   PubMed Web of Science ®Google Scholar
• Palmqvist, S., Mattsson, N., & Hansson, O. (2016). Cerebrospinal fluid analysis detects cerebral amyloid-beta accumulation earlier than positron emission tomography. Brain, 139, 1226–1236. doi:10.1093/brain/aww015
   PubMed Web of Science ®Google Scholar
• Prestia, A., Caroli, A., Wade, S. K., Van Der Flier, W. M., Ossenkoppele, R., Van Berckel, B., … Frisoni, G. B. (2015). Prediction of AD dementia by biomarkers following the NIA-AA and IWG diagnostic criteria in MCI patients from three European memory clinics. Alzheimer’s & Dementia : the Journal of the Alzheimer’s Association, 11, 1191–1201. doi:10.1016/j.jalz.2014.12.001
   PubMed Web of Science ®Google Scholar
• Rabinovici, G. D., Furst, A. J., O’Neil, J. P., Racine, C. A., Mormino, E. C., Baker, S. L., … Jagust, W. J. (2007). 11C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration. Neurology, 68, 1205–1212. doi:10.1212/01.wnl.0000259035.98480.ed
   PubMed Web of Science ®Google Scholar
• Resnick, S. M., Sojkova, J., Zhou, Y., An, Y., Ye, W., Holt, D. P., … Wong, D. F. (2010). Longitudinal cognitive decline is associated with fibrillar amyloid-beta measured by [11C]PiB. Neurology, 74, 807–815. doi:10.1212/WNL.0b013e3181d3e3e9
   PubMed Web of Science ®Google Scholar
• Riepe, M., Weinman, J., Osae-Larbi, J., Mulick Cassidy, A., Knox, S., Chaves, R., & Muller, B. (2015). Factors associated with greater adherence to and satisfaction with transdermal rivastigmine in patients with alzheimer’s disease and their caregivers. Dementia and Geriatric Cognitive Disorders, 40, 107–119. doi:10.1159/000381894
   PubMed Web of Science ®Google Scholar
• Schipke, C. G., Peters, O., Heuser, I., Grimmer, T., Sabbagh, M. N., Sabri, O., … Blankenburg, M. (2012). Impact of beta-amyloid-specific florbetaben PET imaging on confidence in early diagnosis of Alzheimer’s disease. Dementia and Geriatric Cognitive Disorders, 33, 416–422. doi:10.1159/000339367
   PubMed Web of Science ®Google Scholar
• Schreiber, S., Landau, S. M., Fero, A., Schreiber, F., & Jagust, W. J. (2015). Comparison of visual and quantitative florbetapir F 18 positron emission tomography analysis in predicting mild cognitive impairment outcomes. JAMA Neurology, 72, 1183–1190. doi:10.1001/jamaneurol.2015.1633
   PubMed Web of Science ®Google Scholar
• Trembath, L., Newell, M., & Devous, M. D., Sr. (2015). Technical considerations in brain amyloid PET imaging with 18F-florbetapir. Journal of Nuclear Medicine Technology, 43, 175–184. doi:10.2967/jnmt.115.156679
   PubMedGoogle Scholar
• Zhang, S., Smailagic, N., Hyde, C., Noel-Storr, A. H., Takwoingi, Y., McShane, R., & Feng, J. (2014, July 23). (11)C-PIB-PET for the early diagnosis of Alzheimer’s disease dementia and other dementias in people with mild cognitive impairment (MCI). Cochrane Database of Systematic Reviews (Online), 7, CD010386. doi:10.1002/14651858.CD010386.pub2
   Google Scholar