Phase 3 Trial of Flutemetamol Labeled With Radioactive Fluorine 18 Imaging and Neuritic Plaque Density
Open accessAbstract
IMPORTANCE: In vivo imaging of brain β-amyloid, a hallmark of Alzheimer disease, may assist in the clinical assessment of suspected Alzheimer disease. OBJECTIVE: To determine the sensitivity and specificity of positron emission tomography imaging with flutemetamol injection labeled with radioactive fluorine 18 to detect β-amyloid in the brain using neuropathologically determined neuritic plaque levels as the standard of truth. DESIGN, SETTING, AND PARTICIPANTS: Open-label multicenter imaging study that took place at dementia clinics, memory centers, and hospice centers in the United States and England from June 22, 2010, to November 23, 2011. Participants included terminally ill patients who were 55 years or older with a life expectancy of less than 1 year. INTERVENTIONS: Flutemetamol injection labeled with radioactive fluorine 18 (Vizamyl; GE Healthcare) administration followed by positron emission tomography imaging and subsequent brain donation. MAIN OUTCOMES AND MEASURES: Sensitivity and specificity of flutemetamol injection labeled with radioactive fluorine 18 positron emission tomography imaging for brain β-amyloid. Images were reviewed without and with computed tomography scans and classified as positive or negative for β-amyloid by 5 readers who were blind to patient information. In patients who died, neuropathologically determined neuritic plaque levels were used to confirm scan interpretations and determine sensitivity and specificity. RESULTS: Of 176 patients with evaluable images, 68 patients (38%) died during the study, were autopsied, and had neuritic plaque levels determined; 25 brains (37%) were β-amyloid negative; and 43 brains (63%) were β-amyloid positive. Imaging was performed a mean of 3.5 months (range, 0 to 13 months) before death. Sensitivity without computed tomography was 81% to 93% (median, 88%). Median specificity was 88%, with 4 of 5 of the readers having specificity greater than 80%. When scans were interpreted with computed tomography images, sensitivity and specificity improved for most readers but the differences were not significant. The area under the receiver operating curve was 0.90. There were no clinically meaningful findings in safety parameters. CONCLUSIONS AND RELEVANCE: This study showed that flutemetamol injection labeled with radioactive fluorine 18 was safe and had high sensitivity and specificity in an end-of-life population. In vivo detection of brain β-amyloid plaque density may increase diagnostic accuracy in cognitively impaired patients.
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These and other studies strongly support the concept of AD as an amyloid-provoked or facilitated tauopathy, although there is also evidence that both pathologies act in synergy.
“These and other studies 13,24,133,134 strongly support the concept of AD as being an amyloid-provoked, or facilitated, tauopathy, although there is also evidence that both pathologies act in synergy 135 .”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [134]
Positron emission tomography ligands have been shown to provide a minimally invasive estimate of the neuropathological features of Alzheimer disease, such as amyloid-β neuritic plaque deposition.
“Positron emission tomography (PET) ligands have been shown to provide a minimally invasive estimate of the neuropathological features of AD, such as Aβ neuritic plaque deposition.15,16,17,18”
From Positron Emission Tomography Imaging With [ <sup>18</sup> F]flortaucipir and Postmortem Assessment of Alzheimer Disease Neuropathologic Changes (2020) · cites this paper as [17]
Large autopsy studies have demonstrated a high sensitivity and specificity for amyloid positron emission tomography to distinguish individuals with subsequent autopsy findings of no or sparse neuritic plaque from individuals with moderate to frequent plaque.
“For example, large autopsy studies have demonstrated a high sensitivity and specificity for amyloid PET to distinguish individuals with subsequent autopsy findings of no or sparse neuritic plaque from individuals with moderate to frequent plaque.16,17,18”
From Positron Emission Tomography Imaging With [ <sup>18</sup> F]flortaucipir and Postmortem Assessment of Alzheimer Disease Neuropathologic Changes (2020) · cites this paper as [17]
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961 · see citing works
Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092 · see citing works
Self-citationTwo Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease
Salloway, S., Sperling, R., Fox, N. C., Blennow, K., Klunk, W., Raskind, M., Sabbagh, M., Honig, L. S., Porsteinsson, A. P., Ferris, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1304839 · Cited by 1,960 · see citing works
Self-citationStatistical Methods in Diagnostic Medicine
Zhou, X., Sun, J., Pennello, G. A., Obuchowski, N. A., & McClish, D. K. (2011) · Wiley series in probability and statistics · doi:10.1002/9780470906514 · Cited by 1,785 · see citing works
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542 · see citing works
Statistical Methods in Diagnostic Medicine
Zhou, X., Obuchowski, N. A., & McClish, D. K. (2002) · Wiley series in probability and statistics · doi:10.1002/9780470317082 · Cited by 1,181 · see citing works
Use of Florbetapir-PET for Imaging β-Amyloid Pathology
Clark, C. M. (2011) · JAMA · doi:10.1001/jama.2010.2008 · Cited by 1,117 · see citing works
Beach, T. G., Monsell, S. E., Phillips, L. E., & Kukull, W. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31824b211b · Cited by 1,103 · cited 1× · see citing works
“39) [0-30] 8.”
Self-citationPost-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Ikonomovic, M. D., Klunk, W. E., Abrahamson, E. E., Mathis, C. A., Price, J. C., Tsopelas, N. D., Lopresti, B. J., Ziolko, S., Bi, W., Paljug, W. R., et al. (2008) · Brain · doi:10.1093/brain/awn016 · Cited by 933 · see citing works
Clark, C. M., Pontecorvo, M. J., Beach, T. G., Bedell, B. J., Coleman, R. E., Doraiswamy, P. M., Fleisher, A. S., Reiman, E. M., Sabbagh, M. N., Sadowsky, C. H., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70142-4 · Cited by 855 · see citing works
Self-citationVandenberghe, R. R., Laere, K. V., Ivanoiu, A., Salmon, É., Bastin, C., Triau, E., Hasselbalch, S. G., Law, I. G., Andersen, A., Kørner, A., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22068 · Cited by 648 · see citing works
Self-citationJohnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Carrillo, M. C., Hartley, D. M., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.002 · Cited by 603 · see citing works
Barthel, H., Gertz, H., Dresel, S. H. J., Peters, O., Bartenstein, P., Büerger, K., Hiemeyer, F. J., Wittemer‐Rump, S., Seibyl, J. P., Reininger, C. B., et al. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70077-1 · Cited by 588 · see citing works
Computerized densitometry and color coding of [14C] deoxyglucose autoradiographs
Goochee, C. F., Rasband, W. S., & Sokoloff, L. (1980) · Annals of Neurology · doi:10.1002/ana.410070414 · Cited by 344 · see citing works
Nelissen, N., Laere, K. V., Thurfjell, L., Owenius, R., Vandenbulcke, M., Koole, M. J. B., Bormans, G. M., Brooks, D. J., & Vandenberghe, R. R. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.063305 · Cited by 331 · see citing works
Self-citationBrain Amyloid Imaging — FDA Approval of Florbetapir F18 Injection
Yang, L. L., Rieves, D., & Ganley, C. J. (2012) · New England Journal of Medicine · doi:10.1056/nejmp1208061 · Cited by 202 · see citing works
Rowe, C. C., Pejoska, S., Mulligan, R. S., Jones, G. R., Chan, J. G., Svensson, S., Cselényi, Z., Masters, C. L., & Villemagne, V. L. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.114785 · Cited by 193 · see citing works
Multimodality imaging characteristics of dementia with Lewy bodies
Kantarci, K., Lowe, V. J., Boeve, B. F., Weigand, S. D., Senjem, M. L., Przybelski, S. A., Dickson, D. W., Parisi, J. E., Knopman, D. S., Smith, G. E., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.024 · Cited by 175 · see citing works
Vemuri, P., Whitwell, J. L., Kantarci, K., Josephs, K. A., Parisi, J. E., Shiung, M. S., Knopman, D. S., Boeve, B. F., Petersen, R. C., Dickson, D. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.012 · Cited by 172 · see citing works
Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Hedrick, S., Pappas, V., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.06.001 · Cited by 108 · see citing works
Delineation of Positron Emission Tomography Imaging Agent Binding Sites on β-Amyloid Peptide Fibrils
Ye, L., Morgenstern, J. L., Gee, A. D., Hong, G., Brown, J., & Lockhart, A. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m501285200 · Cited by 97 · see citing works
Rinne, J. O., Wong, D. F., Wolk, D. A., Leinonen, V., Arnold, S. E., Buckley, C. J., Smith, A. P. L., McLain, R. W., Sherwin, P. F., Farrar, G., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1051-z · Cited by 82 · see citing works
Self-citationSchipke, C. G., Peters, O., Heuser, I., Grimmer, T., Sabbagh, M. N., Sabri, O., Hock, C., Kunz, M., Kuhlmann, J., Reininger, C. B., et al. (2012) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000339367 · Cited by 63 · see citing works
Self-citationNew temperature modification makes the Bielschowsky silver stain reproducible
Litchfield, S., & Nagy, Z. (2001) · Acta Neuropathologica · doi:10.1007/s004010000248 · Cited by 54 · see citing works
Added Diagnostic Value of 11C-PiB-PET in Memory Clinic Patients with Uncertain Diagnosis
Frederiksen, K. S., Hasselbalch, S. G., Hejl, A., Law, I. G., Højgaard, L. D., & Waldemar, G. (2012) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000345783 · Cited by 46 · see citing works
Wong, D. F., Moghekar, A., Rigamonti, D., Brašić, J. R., ROUSSET, O. G., Willis, W. D., Buckley, C. J., Smith, A. P. L., Gok, B., Sherwin, P. F., et al. (2012) · Molecular Imaging and Biology · doi:10.1007/s11307-012-0583-x · Cited by 45 · see citing works
Self-citationLeinonen, V., Rinne, J. O., Virtanen, K. A., Eskola, O., Rummukainen, J., Huttunen, J., zu Fraunberg, M. V. U., Nerg, O., Koivisto, A. M., Rinne, J., et al. (2013) · European Journal of Neurology · doi:10.1111/ene.12102 · Cited by 43 · see citing works
Self-citationSwahn, B., Sandell, J., Pyring, D., Bergh, M., Jeppsson, F., Juréus, A., Neelissen, J. A. M., Johnström, P., Schou, M., & Svensson, S. (2012) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2012.05.011 · Cited by 26 · see citing works
Wolk, D. A., Duara, R., & Sadowsky, C. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.07.079 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Scheltens, P., Blennow, K., Breteler, M. M. B., de Strooper, B., Frisoni, G. B., Salloway, S., & Van der Flier, W. M. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01124-1 · Cited by 3,125 · see citing works
Self-citationRevised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Jack, C. R., Andrews, J. S., Beach, T. G., Buracchio, T., Dunn, B., Graf, A., Hansson, O., Ho, C., Jagust, W., McDade, E., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13859 · Cited by 2,803 · see citing works
Self-citationPreclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., Bakardjian, H., Benali, H., Bertram, L., Blennow, K., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.002 · Cited by 1,925 · see citing works
Self-citationMasters, C. L., Bateman, R., Blennow, K., Rowe, C. C., Sperling, R. A., & Cummings, J. L. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.56 · Cited by 1,853 · see citing works
Biomarkers for neurodegenerative diseases
Hansson, O. (2021) · Nature Medicine · doi:10.1038/s41591-021-01382-x · Cited by 1,159 · see citing works
The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics
Karran, E., & De Strooper, B. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00391-w · Cited by 742 · see citing works
Rabinovici, G. D., Gatsonis, C., Apgar, C., Chaudhary, K., Gareen, I., Hanna, L., Hendrix, J., Hillner, B. E., Olson, C., Lesman-Segev, O. H., et al. (2019) · JAMA · doi:10.1001/jama.2019.2000 · Cited by 674 · see citing works
Imaging the evolution and pathophysiology of Alzheimer disease
Jagust, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0067-3 · Cited by 604 · see citing works
Fleisher, A. S., Pontecorvo, M. J., Devous, M. D., Lu, M., Arora, A. K., Truocchio, S. P., Aldea, P., Flitter, M., Locascio, T., Devine, M., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0528 · Cited by 448 · see citing works
Self-citationImaging tau and amyloid-β proteinopathies in Alzheimer disease and other conditions
Villemagne, V. L., Doré, V., Burnham, S. C., Masters, C. L., & Rowe, C. C. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2018.9 · Cited by 440 · see citing works
Villeneuve, S., Rabinovici, G. D., Cohn-Sheehy, B. I., Madison, C., Ayakta, N., Ghosh, P. M., La Joie, R., Arthur-Bentil, S. K., Vogel, J. W., Marks, S. M., et al. (2015) · Brain · doi:10.1093/brain/awv112 · Cited by 408 · see citing works
Neuropathology of Alzheimer's Disease
Trejo‐Lopez, J. A., Yachnis, A. T., & Prokop, S. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01146-y · Cited by 398 · see citing works
Pontecorvo, M. J., Devous, M. D., Navitsky, M., Lu, M., Salloway, S., Schaerf, F. W., Jennings, D., Arora, A. K., McGeehan, A., Lim, N. C., et al. (2017) · Brain · doi:10.1093/brain/aww334 · Cited by 357 · see citing works
Self-citationRadiopharmaceuticals for PET and SPECT Imaging: A Literature Review over the Last Decade
Crișan, G., Moldovean-Cioroianu, N. S., Timaru, D.-G., Andrieș, G., Căinap, C., & Chiș, V. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23095023 · Cited by 283 · see citing works
La Joie, R., Ayakta, N., Seeley, W. W., Borys, E., Boxer, A. L., DeCarli, C., Doré, V., Grinberg, L. T., Huang, E., Hwang, J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.09.001 · Cited by 317 · see citing works
Cerebrospinal fluid neurogranin: relation to cognition and neurodegeneration in Alzheimer’s disease
Portelius, E., Zetterberg, H., Skillbäck, T., Törnqvist, U., Andreasson, U., Trojanowski, J. Q., Weiner, M. W., Shaw, L. M., & Mattsson, N. (2015) · Brain · doi:10.1093/brain/awv267 · Cited by 279 · see citing works
Schindler, S. E., Galasko, D. R., Pereira, A. C., Rabinovici, G. D., Salloway, S., Suárez‐Calvet, M., Khachaturian, A. S., Mielke, M. M., Udeh‐Momoh, C. T., Weiss, J. O., et al. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00977-5 · Cited by 311 · see citing works
Self-citationRadiopharmaceuticals and their applications in medicine
Zhang, S., Wang, X., Gao, X., Chen, X., Li, L., Li, G., Liu, C., Miao, Y., Wang, R., & Hu, K. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-02041-6 · Cited by 317 · see citing works
Chen, X., & Mobley, W. C. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00659 · Cited by 291 · see citing works
Multimodal imaging in Alzheimer's disease: validity and usefulness for early detection
Teipel, S. J., Drzezga, A. E., Grothe, M. J., Barthel, H., Chételat, G., Schuff, N. W., Skudlarski, P., Cavedo, E., Frisoni, G. B., Hoffmann, W. U., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00093-9 · Cited by 263 · see citing works
Shaw, L. M., Arias, J., Blennow, K., Galasko, D., Molinuevo, J. L., Salloway, S., Schindler, S., Carrillo, M. C., Hendrix, J. A., Ross, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.220 · Cited by 266 · see citing works
Self-citationThe Role of Amyloid PET in Imaging Neurodegenerative Disorders: A Review
Chapleau, M., Iaccarino, L., Soleimani‐Meigooni, D. N., & Rabinovici, G. D. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263195 · Cited by 264 · see citing works
Pontecorvo, M. J., Devous, M. D., Kennedy, I., Navitsky, M., Lu, M., Galante, N., Salloway, S., Doraiswamy, P. M., Southekal, S., Arora, A. K., et al. (2019) · Brain · doi:10.1093/brain/awz090 · Cited by 249 · see citing works
Self-citationBiomarkers for the Early Detection and Progression of Alzheimer's Disease
Counts, S. E., Ikonomovic, M. D., Mercado, N., Vega, I. E., & Mufson, E. J. (2017) · Neurotherapeutics · doi:10.1007/s13311-016-0481-z · Cited by 224 · see citing works
Mueller, A., Bullich, S., Barret, O., Madonia, J., Berndt, M., Papin, C., Perrotin, A., Koglin, N., Kroth, H., Pfeifer, A., et al. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.119.236224 · Cited by 191 · see citing works
Amadoru, S., Doré, V., McLean, C. A., Hinton, F., Shepherd, C. E., Halliday, G. M., Leyton, C. E., Yates, P. A., Hodges, J. R., Masters, C. L., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00587-5 · Cited by 181 · see citing works
Thal, D. R., Beach, T. G., Zanette, M., Heurling, K., Chakrabarty, A., Ismail, A., Smith, A. P. L., & Buckley, C. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.018 · Cited by 159 · see citing works
Self-citationMicroglial dysfunction connects depression and Alzheimer’s disease
Santos, L. E., Beckman, D., & Ferreira, S. T. (2015) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2015.11.011 · Cited by 151 · see citing works
Dissecting the clinical heterogeneity of early-onset Alzheimer’s disease
Sirkis, D. W., Bonham, L. W., Johnson, T. P., La Joie, R., & Yokoyama, J. S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01531-9 · Cited by 151 · see citing works
The diagnostic value of FDG and amyloid PET in Alzheimer’s disease—A systematic review
Rice, L., & Bisdas, S. (2017) · European Journal of Radiology · doi:10.1016/j.ejrad.2017.07.014 · Cited by 150 · see citing works
Rabinovici, G. D., Knopman, D. S., Arbizu, J., Benzinger, T. L. S., Donohoe, K. J., Hansson, O., Herscovitch, P., Kuo, P. H., Lingler, J. H., Minoshima, S., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14338 · Cited by 151 · see citing works
Self-citationMolecular and cellular pathophysiology of preclinical Alzheimer’s disease
Mufson, E. J., Ikonomović, M. D., Counts, S., Perez, S. E., Malek‐Ahmadi, M. H., Scheff, S. W., & Ginsberg, S. D. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.030 · Cited by 128 · see citing works
Iaccarino, L., Joie, R. L., Lesman‐Segev, O. H., Lee, E. Y., Hanna, L., Allen, I. E., Hillner, B. E., Siegel, B. A., Whitmer, R. A., Carrillo, M. C., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.3962 · Cited by 125 · see citing works
Centiloid recommendations for clinical context‐of‐use from the AMYPAD consortium
Collij, L. E., Bollack, A., Joie, R. L., Shekari, M., Bullich, S., Roé-Vellvé, N., Koglin, N., Jovalekic, A., García, D. V., Drzezga, A. E., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14336 · Cited by 126 · see citing works
Self-citationJ-ADNI Study Group, Yamane, T., Ishii, K., Sakata, M., Ikari, Y., Nishio, T., Ishii, K., Kato, T., Ito, K., & Senda, M. (2016) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3591-2 · Cited by 121 · see citing works
Aβ-amyloid and Tau Imaging in Dementia
Villemagne, V. L., Doré, V., Bourgeat, P., Burnham, S. C., Laws, S., Salvado, O., Masters, C. L., & Rowe, C. C. (2017) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2016.09.006 · Cited by 110 · see citing works
Is amyloid-β harmful to the brain? Insights from human imaging studies
Jagust, W. (2016) · Brain · doi:10.1093/brain/awv326 · Cited by 110 · see citing works
Fluid and PET biomarkers for amyloid pathology in Alzheimer's disease
Cohen, A. D., Landau, S. M., Snitz, B. E., Klunk, W. E., Blennow, K., & Zetterberg, H. (2018) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.12.004 · Cited by 107 · see citing works
Uzuegbunam, B. C., Librizzi, D., & Yousefi, B. H. (2020) · Molecules · doi:10.3390/molecules25040977 · Cited by 103 · see citing works
Doré, V., Bullich, S., Rowe, C. C., Bourgeat, P., Konate, S., Sabri, O., Stephens, A. W., Barthel, H., Fripp, J., Masters, C. L., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.02.005 · Cited by 93 · see citing works
PET Neuroimaging of Alzheimer's Disease: Radiotracers and Their Utility in Clinical Research
Bao, W., Xie, F., Zuo, C., Guan, Y., & Huang, Y. H. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.624330 · Cited by 102 · see citing works
Post-mortem histopathology underlying β-amyloid PET imaging following flutemetamol F 18 injection
Ikonomović, M. D., Buckley, C. J., Heurling, K., Sherwin, P. F., Jones, P. A., Zanette, M., Mathis, C. A., Klunk, W. E., Chakrabarty, A., Ironside, J. W., et al. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0399-z · Cited by 98 · see citing works
Self-citationConsiderations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease
Leuzy, A., Bollack, A., Pellegrino, D., Teunissen, C. E., Joie, R. L., Rabinovici, G. D., Franzmeier, N., Johnson, K. A., Barkhof, F., Shaw, L. M. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14528 · Cited by 97 · see citing works
Self-citationGarn, H., Coronel, C., Waser, M., Caravias, G., & Ransmayr, G. N. (2017) · Journal of Neural Transmission · doi:10.1007/s00702-017-1699-6 · Cited by 109 · see citing works
Pitfalls and Limitations of PET/CT in Brain Imaging
Salmon, É., Bernard, C., & Hustinx, R. (2015) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2015.03.008 · Cited by 90 · see citing works
Salloway, S., Gamez, J. E., Singh, U., Sadowsky, C. H., Villena, T., Sabbagh, M. N., Beach, T. G., Duara, R., Fleisher, A. S., Frey, K. A., et al. (2017) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.06.001 · Cited by 87 · see citing works
Self-citationMultipronged diagnostic and therapeutic strategies for Alzheimer's disease
Ramesh, M., & Govindaraju, T. (2022) · Chemical Science · doi:10.1039/d2sc03932j · Cited by 87 · see citing works
Multiscale optical and optoacoustic imaging of amyloid-β deposits in mice
Ni, R., Chen, Z., Deán‐Ben, X. L., Voigt, F. F., Kirschenbaum, D. S., Shi, G., Villois, A., Zhou, Q., Crimi, A., Arosio, P., et al. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00906-1 · Cited by 83 · see citing works
Macdonald, I. R., Maxwell, S. P., Reid, G. A., Cash, M. K., DeBay, D. R., & Darvesh, S. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170164 · Cited by 83 · see citing works
Caselli, R. J., Beach, T. G., Knopman, D. S., & Graff-Radford, N. R. (2017) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2017.02.011 · Cited by 81 · see citing works
Self-citationIaccarino, L., Burnham, S. C., Dell’Agnello, G., Dowsett, S. A., & Epelbaum, S. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.43 · Cited by 80 · see citing works
Lesman‐Segev, O. H., Joie, R. L., Iaccarino, L., Lobach, I. V., Rosen, H. J., Seo, S. W., Janabi, M., Baker, S. L., Edwards, L., Pham, J. Q., et al. (2020) · Annals of Neurology · doi:10.1002/ana.25968 · Cited by 79 · see citing works
Rabinovici, G. D., Knopman, D. S., Arbizu, J., Benzinger, T. L. S., Donohoe, K. J., Hansson, O., Herscovitch, P., Kuo, P. H., Lingler, J. H., Minoshima, S., et al. (2025) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.268756 · Cited by 82 · see citing works
Self-citationThe EMIF-AD PreclinAD study: study design and baseline cohort overview
Konijnenberg, E., Carter, S. F., ten Kate, M., den Braber, A., Tomassen, J., Amadi, C., Wesselman, L. M. P., Nguyen, H., van de Kreeke, J. A., Yaqub, M. M., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0406-7 · Cited by 75 · see citing works
Structural mechanism for specific binding of chemical compounds to amyloid fibrils
Tao, Y., Xia, W., Zhao, Q., Xiang, H., Han, C., Zhang, S., Gu, W., Tang, W., Li, Y., Tan, L., et al. (2023) · Nature Chemical Biology · doi:10.1038/s41589-023-01370-x · Cited by 72 · see citing works
Buckley, C. J., Sherwin, P. F., Smith, A. P. L., Wolber, J., Weick, S. M., & Brooks, D. J. (2016) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000000633 · Cited by 70 · see citing works
Self-citationApplications of nanobodies in brain diseases
Zheng, F., Pang, Y., Li, L., Pang, Y., Zhang, J., Wang, X., & Raes, G. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.978513 · Cited by 71 · see citing works
Mountz, J. M., Laymon, C. M., Cohen, A. D., Zhang, Z., Price, J. C., Boudhar, S., McDade, E., Aizenstein, H. J., Klunk, W. E., & Mathis, C. A. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.10.007 · Cited by 70 · see citing works
Dong, J. W., Jelescu, I. O., Ades-Aron, B., Novikov, D. S., Friedman, K., Babb, J. S., Osorio, R. S., Galvin, J. E., Shepherd, T. M., & Fieremans, E. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.009 · Cited by 70 · see citing works
(ADNI), F. T. A. D. N. I., Yan, Q., Nho, K., Del-Aguila, J. L., Wang, X., Risacher, S. L., Fan, K.-H., Snitz, B. E., Aizenstein, H. J., Mathis, C. A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-018-0246-7 · Cited by 73 · see citing works
Collij, L. E., Salvadó, G., Shekari, M., Alves, I. L., Reimand, J., Wink, A. M., Zwan, M. D., Niñerola‐Baizán, A., Perissinotti, A., Scheltens, P., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05174-2 · Cited by 69 · see citing works
Self-citationQuantitation of PET signal as an adjunct to visual interpretation of florbetapir imaging
Pontecorvo, M. J., Arora, A., Devine, M., Lu, M., Galante, N., Siderowf, A., Devadanam, C., Joshi, A. D., Heun, S. L., Teske, B. F., et al. (2017) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-016-3601-4 · Cited by 68 · see citing works
Hameed, S., Fuh, J., Senanarong, V., Ebenezer, E. G. M., Looi, I., Dominguez, J. C., Park, K. W., Karanam, A. K., & Simon, O. (2020) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-190143 · Cited by 67 · see citing works
Amyloid imaging: Past, present and future perspectives
Villemagne, V. L. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.005 · Cited by 64 · see citing works
Seo, S. W., Ayakta, N., Grinberg, L. T., Villeneuve, S., Lehmann, M., Reed, B., DeCarli, C., Miller, B. L., Rosen, H. J., Boxer, A. L., et al. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2016.11.008 · Cited by 63 · see citing works
Mallik, A. K., Drzezga, A. E., & Minoshima, S. (2016) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2016.09.005 · Cited by 62 · see citing works
The Spatial-Temporal Ordering of Amyloid Pathology and Opportunities for PET Imaging
Fantoni, E., Collij, L. E., Alves, I. L., Buckley, C. J., & Farrar, G. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.119.235879 · Cited by 63 · see citing works
Self-citationBlood Amyloid-β Oligomerization as a Biomarker of Alzheimer’s Disease: A Blinded Validation Study
Youn, Y. C., Lee, B. S., Kim, G. J., Ryu, J. S., Lim, K., Lee, R., Suh, J., Park, Y. H., Pyun, J., Ryu, N., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200061 · Cited by 63 · see citing works
A practical overview of the use of amyloid-PET Centiloid values in clinical trials and research
Iaccarino, L., Burnham, S. C., Tunali, I., Wang, J., Navitsky, M. A., Arora, A., & Pontecorvo, M. J. (2025) · NeuroImage Clinical · doi:10.1016/j.nicl.2025.103765 · Cited by 61 · see citing works
Nerella, S. G., Joshi, R. K., Bharath, R. D., & Kumar, P. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.111979 · Cited by 60 · see citing works
Extracellular vesicles as an emerging tool for the early detection of Alzheimer’s disease
Li, T.-R., Wang, X.-N., Sheng, C., Li, Y.-X., Li, F. Z.-T., Sun, Y., & Han, Y. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.111175 · Cited by 60 · see citing works
Heurling, K., Leuzy, A., Zimmer, E. R., Lubberink, M., & Nordberg, A. K. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3208-1 · Cited by 59 · see citing works
Fink, H. A., Linskens, E. J., Silverman, P. C., McCarten, J. R., Hemmy, L. S., Ouellette, J. M., Greer, N. L., Wilt, T. J., & Butler, M. (2020) · Annals of Internal Medicine · doi:10.7326/m19-3888 · Cited by 57 · see citing works
Ni, R., Villois, A., Deán‐Ben, X. L., Chen, Z., Vaas, M., Stavrakis, S., Shi, G., deMello, A. J., Ran, C., Razansky, D., et al. (2021) · Photoacoustics · doi:10.1016/j.pacs.2021.100285 · Cited by 55 · see citing works
Ceccaldi, M. P., Jonveaux, T., Verger, A., Krolak‐Salmon, P., Houzard, C., Godefroy, O., Shields, T., Perrotin, A., Gismondi, R., Bullich, S., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.09.009 · Cited by 56 · see citing works
Ikonomović, M. D., Buckley, C. J., Abrahamson, E. E., Kofler, J., Mathis, C. A., Klunk, W. E., & Farrar, G. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02175-1 · Cited by 55 · see citing works
Self-citationThal, D. R., Beach, T. G., Zanette, M., Lilja, J., Heurling, K., Chakrabarty, A., Ismail, A., Farrar, G., Buckley, C. J., & Smith, A. P. L. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1897-9 · Cited by 55 · see citing works
Self-citationNeuroimaging in aging and neurologic diseases
Risacher, S. L., & Saykin, A. J. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00012-1 · Cited by 54 · see citing works
Molecular Imaging Approaches in Dementia.
Villemagne, V., Barkhof, F., Garibotto, V., Landau, S., Nordberg, A., & van Berckel, B. N. (2021) · Radiology · doi:10.1148/radiol.2020200028 · Cited by 41 · see citing works
Bensaïdane, M. R., Beauregard, J., Poulin, S. P., Buteau, F.-A., Guimond, J. V., Bergeron, D., Verret, L., Fortin, M., Houde, M., Bouchard, R. W., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-151180 · Cited by 49 · see citing works
Diagnostic value of cerebrospinal fluid Aβ ratios in preclinical Alzheimer’s disease
Adamczuk, K., Schaeverbeke, J. M., Vanderstichele, H., Lilja, J., Nelissen, N., Laere, K. V., Dupont, P. J., Hilven, K., Poesen, K., & Vandenberghe, R. R. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0159-5 · Cited by 49 · see citing works
Self-citationBeach, T. G., Thal, D. R., Zanette, M., Smith, A. P. L., & Buckley, C. J. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150732 · Cited by 48 · see citing works
Self-citationPatient and caregiver reactions to clinical amyloid imaging
Grill, J. D., Cox, C. G., Kremen, S. A., Mendez, M. F., Teng, E., Shapira, J. S., Ringman, J. M., & Apostolova, L. G. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.01.001 · Cited by 48 · see citing works
Advances in Brain Amyloid Imaging
Krishnadas, N., Villemagne, V. L., Doré, V., & Rowe, C. C. (2021) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2020.12.005 · Cited by 48 · see citing works
Delmotte, K., Schaeverbeke, J. M., Poesen, K., & Vandenberghe, R. R. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00817-4 · Cited by 49 · see citing works
Self-citationA Review of Biomarkers for Neurodegenerative Disease: Will They Swing Us Across the Valley?
Beach, T. G. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0072-x · Cited by 47 · see citing works
Self-citationJan, A. T., Azam, M., Rahman, S., Almigeiti, A. M. S., Choi, D. H., Lee, E. J., Haq, Q. M. R., & Choi, I. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00356 · Cited by 47 · see citing works
Müller, E. G., Edwin, T. H., Stokke, C., Navelsaker, S. S., Babovic, A., Bogdanović, N., Knapskog, A., & Revheim, M. E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0221365 · Cited by 47 · see citing works
Engels, N., Koops, E. A., Prokopiou, P. C., Egroo, M. V., Schneider, C., Riphagen, J. M., Singhal, T., & Jacobs, H. I. L. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104998 · Cited by 44 · see citing works
Collij, L. E., Bischof, G. N., Altomare, D., Bader, I., Battle, M. R., García, D. V., Alves, I. L., Wolz, R., Gismondi, R., Stephens, A. W., et al. (2024) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.268119 · Cited by 46 · see citing works
Self-citationJovalekic, A., Roé-Vellvé, N., Koglin, N., Lagos‐Quintana, M., Nelson, A. S., Diemling, M., Lilja, J., Gómez-González, J. P., Doré, V., Bourgeat, P., et al. (2023) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06279-0 · Cited by 45 · see citing works
Discovery of High-Affinity Amyloid Ligands Using a Ligand-Based Virtual Screening Pipeline
Chisholm, T. S., Mackey, M. D., & Hunter, C. A. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.3c03749 · Cited by 45 · see citing works
Amyloid Imaging: Poised for Integration into Medical Practice
Anand, K., & Sabbagh, M. (2016) · Neurotherapeutics · doi:10.1007/s13311-016-0474-y · Cited by 39 · see citing works
Self-citationNeuropathological correlates of amyloid PET imaging in Down syndrome
Abrahamson, E. E., Head, E., Lott, I. T., Handen, B. L., Mufson, E. J., Christian, B. T., Klunk, W. E., & Ikonomović, M. D. (2019) · Developmental Neurobiology · doi:10.1002/dneu.22713 · Cited by 45 · see citing works
Amyloid PET imaging in clinical practice
Kolanko, M., Win, Z., Loreto, F., Patel, N., Carswell, C. J., Gontsarova, A., Perry, R. J., & Malhotra, P. (2020) · Practical Neurology · doi:10.1136/practneurol-2019-002468 · Cited by 45 · see citing works
Ni, R., Röjdner, J., Voytenko, L., Dyrks, T., Thiele, A., Marutle, A., & Nordberg, A. (2021) · Journal of Alzheimer's Disease · doi:10.3233/jad-201344 · Cited by 35 · see citing works
Mi, Z., Halfter, W. M., Abrahamson, E. E., Klunk, W. E., Mathis, C. A., Mufson, E. J., & Ikonomović, M. D. (2016) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlw062 · Cited by 43 · see citing works
Pontecorvo, M., Keene, C., Beach, T., Montine, T., Arora, A. K., Devous, M. D. S., Navitsky, M. A., Kennedy, I., Joshi, A. D., Lu, M., et al. (2020) · EJNMMI Research · doi:10.1186/s13550-020-00653-x · Cited by 39 · see citing works
Self-citationDiagnostic biomarkers in Alzheimer’s disease
Andersen, E., Casteigne, B., Chapman, W. D., Creed, A., Foster, F., Lapins, A., Shatz, R., & Sawyer, R. P. (2021) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2021.100041 · Cited by 42 · see citing works
Alzheimer's disease neuropathology and its estimation with fluid and imaging biomarkers
Thal, D. R., Poesen, K., Vandenberghe, R. R., & Meyer, S. D. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00819-y · Cited by 47 · see citing works
Self-citation
- Authors
- Curtis, C., Gamez, J. E., Singh, U., Sadowsky, C. H., Villena, T., Sabbagh, M. N., Beach, T. G., Duara, R., Fleisher, A. S., Frey, K. A., Walker, Z., Hunjan, A., Holmes, C., Escovar, Y. M., Vera, C. X., Agronin, M. E., Ross, J., Bozoki, A., Akinola, M., Shi, J., Vandenberghe, R., Ikonomovic, M. D., Sherwin, P. F., Grachev, I. D., Farrar, G., Smith, A. P. L., Buckley, C. J., McLain, R., & Salloway, S.
- Affiliations
- Compass Research (US)
- Galiz Research, Miami Springs, Florida
- Geriatric Solutions, Las Vegas, Nevada
- Nova Southeastern University (US)
- Premiere Research Institute (US)
- Banner Sun Health Research Institute (US)
- Mount Sinai Medical Center (US)
- University of California San Diego (US)
- University of Michigan (US)
- University College London (GB)
- North Essex Partnership University NHS Foundation Trust, Essex, England
- University of Southampton (GB)
- VERITAS Research, Miami Lakes, Florida
- University of Miami (US)
- Memory Enhancement Center of America (US)
- Michigan State University (US)
- Kennington Health Centre, Oxford, England
- Barrow Neurological Institute (US)
- Universitair Ziekenhuis Leuven (BE)
- Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania
- Medical Affairs, GE Healthcare–Life Sciences, Princeton, New Jersey
- Novartis (United States) (US)
- Amersham Hospital (GB)
- PFP Statistical Consulting LLC, Livonia, Michigan
- Brown University (US)
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2015-03-01
- Volume
- 72
- Issue
- 3
- Pages
- 287
- ISSN
- 2168-6149 (ISSN-L)
- OpenAlex
- W2164443763
- Cited by
- 332
- References
- 30
- Citations by year
- 2026: 17 · 2025: 41 · 2024: 26 · 2023: 20 · 2022: 29 · 2021: 34 · 2020: 36 · 2019: 29 · 2018: 20 · 2017: 24 · 2016: 33 · 2015: 22 · 2014: 1
- FWCI
- 26.77
- Type
- journal article
- Language
- en
- Open access
- green
- lirias.kuleuven.be
- Licence
- other-oa
- Locations
- JAMA Neurology (publishedVersion)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- Alzheimer's disease, sensitivity and specificity, dying patients, brain donation, dementia diagnosis
- MeSH terms
- Aged, Aged, 80 and over, Aniline Compounds, Female, Fluorine Radioisotopes, Humans, Male, Middle Aged, Single-Blind Method, Positron-Emission Tomography, Benzothiazoles, Plaque, Amyloid
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