Flortaucipir F 18 quantitation using parametric estimation of reference signal intensity.
Open accessAbstract
PET imaging of tau pathology in Alzheimer disease may benefit from the use of white matter reference regions. These regions have shown reduced variability compared with conventional cerebellar regions in amyloid imaging. However, they are susceptible to contamination from partial-volume blurring of tracer uptake in the cortex. We present a new technique, PERSI (Parametric Estimation of Reference Signal Intensity), for flortaucipir F 18 count normalization that leverages the advantages of white matter reference regions while mitigating potential partial-volume effects. Methods: Subjects with a clinical diagnosis of Alzheimer disease, mild cognitive impairment, or normal cognition underwent T1-weighted MRI and florbetapir imaging (to determine amyloid [Aβ] status) at screening and flortaucipir F 18 imaging at single or multiple time points. Flortaucipir F 18 images, acquired as 4 × 5 min frames 80 min after a 370-MBq injection, were motion-corrected, averaged, and transformed to Montreal Neurological Institute (MNI) space. The PERSI reference region was calculated for each scan by fitting a bimodal gaussian distribution to the voxel-intensity histogram within an atlas-based white matter region and using the center and width of the lower-intensity peak to identify the voxel intensities to be included. Four conventional reference regions were also evaluated: whole cerebellum, cerebellar gray matter, atlas-based white matter, and subject-specific white matter. SUVr (standardized uptake value ratio) was calculated for a statistically defined neocortical volume of interest. Performance was evaluated with respect to test–retest variability in a phase 2 study of 21 subjects (5–34 d between scans). Baseline variability in controls (SD of SUVr and ΔSUVr) and effect sizes for group differences (Cohen d; Aβ-positive impaired vs. Aβ-negative normal) were evaluated in another phase 2 study with cross-sectional data (n = 215) and longitudinal data (n = 142/215; 18 ± 2 mo between scans). Results: PERSI showed superior test–retest reproducibility (1.84%) and group separation ability (cross-sectional Cohen d = 9.45; longitudinal Cohen d = 2.34) compared with other reference regions. Baseline SUVr variability and ΔSUVr were minimal in Aβ control subjects with no specific flortaucipir F 18 uptake (SUVr, 1.0 ± 0.04; ΔSUVr, 0.0 ± 0.02). Conclusion: PERSI reduced variability while enhancing discrimination between diagnostic cohorts. Such improvements could lead to more accurate disease staging and robust measurements of changes in tau burden over time for the evaluation of putative therapies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Flortaucipir is being developed as a positron emission tomography tracer for detection of the aggregated tau of Alzheimer disease.
“Flortaucipir is being developed as a PET tracer for detection of the aggregated tau of AD.19,21,22,23,24”
From Positron Emission Tomography Imaging With [ <sup>18</sup> F]flortaucipir and Postmortem Assessment of Alzheimer Disease Neuropathologic Changes (2020) · cites this paper as [22]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507 · see citing works
Unbiased nonlinear average age-appropriate brain templates from birth to adulthood
Fonov, V., Evans, A., McKinstry, R. C., Almli, C. R., & Collins, D. L. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70884-5 · Cited by 2,092 · see citing works
The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET
Klunk, W. E., Koeppe, R. A., Price, J. C., Benzinger, T. L., Devous, M. D., Jagust, W. J., Johnson, K. A., Mathis, C. A., Minhas, D., Pontecorvo, M. J., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.07.003 · Cited by 1,348 · see citing works
Self-citationParametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model
Gunn, R. N., Lammertsma, A. A., Hume, S. P., & Cunningham, V. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0303 · Cited by 1,085 · see citing works
Mintun, M. A., Raichle, M. E., Kilbourn, M. R., Wooten, G. F., & Welch, M. J. (1984) · Annals of Neurology · doi:10.1002/ana.410150302 · Cited by 956 · see citing works
Self-citationCorrection for partial volume effects in PET: principle and validation.
ROUSSET, O. G., Ma, Y., & Evans, A. C. (1998) · PubMed · Cited by 919 · 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-citationMüller‐Gärtner, H. W., Links, J. M., Prince, J. L., Bryan, R. N., McVeigh, E. R., Leal, J. P., Davatzikos, C. A., & Frost, J. J. (1992) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1992.81 · Cited by 756 · see citing works
Erlandsson, K., Buvat, I., Pretorius, P. H., Thomas, B. A., & Hutton, B. F. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/r119 · Cited by 731 · see citing works
Amyloid Deposition, Hypometabolism, and Longitudinal Cognitive Decline
Landau, S. M., Mintun, M., Joshi, A. D., Koeppe, R., Petersen, R. C., Aisen, P., Weiner, M., & Jagust, W. J. (2012) · Annals of Neurology · doi:10.1002/ana.23650 · Cited by 723 · see citing works
Self-citationKinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B
Price, J. C., Klunk, W. E., Lopresti, B. J., Lu, X., Hoge, J. A., Ziolko, S. K., Holt, D. P., MELTZER, C. C., DeKosky, S. T., & Mathis, C. A. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600146 · Cited by 712 · see citing works
Wong, D. F., Rosenberg, P. B., Zhou, Y., Kumar, A., Raymont, V., Ravert, H. T., Dannals, R. F., Nandi, A., Brašić, J. R., Ye, W., et al. (2010) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.069088 · Cited by 684 · see citing works
Self-citationUnderstanding the standardized uptake value, its methods, and implications for usage.
Thie, J. A. (2004) · PubMed · Cited by 532 · see citing works
Graphical analysis of PET data applied to reversible and irreversible tracers
Logan, J. (2000) · Nuclear Medicine and Biology · doi:10.1016/s0969-8051(00)00137-2 · Cited by 416 · see citing works
Joshi, A. D., Pontecorvo, M. J., Clark, C. M., Carpenter, A. P., Jennings, D. L., Sadowsky, C., Adler, L. P., Kovnat, K. D., Seibyl, J. P., Arora, A., et al. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.090340 · Cited by 391 · see citing works
Self-citationLandau, S. M., Fero, A., Baker, S. L., Koeppe, R., Mintun, M., Chen, K., Reiman, E. M., & Jagust, W. J. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.148981 · Cited by 364 · see citing works
Self-citationPontecorvo, 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-citationCorrection of PET Data for Partial Volume Effects in Human Cerebral Cortex by MR Imaging
MELTZER, C. C., Leal, J. P., Mayberg, H. S., Wagner, H. N., & Frost, J. J. (1990) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199007000-00011 · Cited by 329 · see citing works
Thomas, B. A., Erlandsson, K., Marc Modat, A., Thurfjell, L., Vandenberghe, R. R., Sebastien Ourselin, A., & Hutton, B. F. (2011) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-011-1745-9 · Cited by 317 · see citing works
Reference and target region modeling of [11C]-(R)-PK11195 brain studies.
Turkheimer, F., Edison, P., Pavese, N., Roncaroli, F., Anderson, A. N., Hammers, A., Gerhard, A., Hinz, R., Tai, Y., & Brooks, D. J. (2007) · PubMed · Cited by 275 · see citing works
Chen, K., Roontiva, A., Thiyyagura, P., Lee, W., Liu, X., Ayutyanont, N., Protas, H. D., Luo, J., Bauer, R. J., III, Reschke, C., et al. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.149732 · Cited by 158 · see citing works
A Semiautomated Method for Quantification of F 18 Florbetapir PET Images
Joshi, A. D., Pontecorvo, M. J., Lu, M., Skovronsky, D., Mintun, M. A., & Devous, M. D. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.153494 · Cited by 92 · see citing works
Self-citationTest-retest reproducibility for the tau PET imaging agent flortaucipir F 18.
Devous, M. D., Joshi, A. D., Navitsky, M., Southekal, S., Pontecorvo, M. J., Shen, H., Lu, M., Shankle, W. R., Seibyl, J. P., Marek, K., et al. (2018) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.200691 · Cited by 79 · 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
Self-citationKhalil, M. M. (2017) · Springer eBooks · doi:10.1007/978-3-319-40070-9 · Cited by 50 · see citing works
Sattarivand, M., Kusano, M. L., Poon, I., & Caldwell, C. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/21/7101 · Cited by 45 · see citing works
Quantitative analysis of [18F]FDDNP PET using subcortical white matter as reference region
Wong, K. P., Wardak, M., Shao, W., Dahlbom, M. L., Kepe, V., Liu, J., Satyamurthy, N., Small, G. W., Barrio, J. R., & Huang, S. (2009) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-009-1293-8 · Cited by 37 · see citing works
Abdi, H., Williams, L. J., Beaton, D., Posamentier, M. T., Harris, T. S., Krishnan, A., & Devous, M. D. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-112111 · Cited by 35 · see citing works
Self-citationElevated 18 F-AV-1451 PET tracer uptake detected in incidental imaging findings
Lockhart, S. N., Ayakta, N., Winer, J. R., Joie, R. L., Rabinovici, G. D., & Jagust, W. J. (2017) · Neurology · doi:10.1212/wnl.0000000000003724 · Cited by 35 · see citing works
Kimura, Y., Endo, H., Ichise, M., Shimada, H., Seki, C., Ikoma, Y., Shinotoh, H., Yamada, M., Higuchi, M., Zhang, M., et al. (2016) · EJNMMI Research · doi:10.1186/s13550-016-0182-y · Cited by 23 · see citing works
Joshi, A. D., Pontecorvo, M. J., Navitsky, M. A., Kennedy, I. A., Mintun, M. A., & Devous, M. D. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.07.087 · Cited by 8 · see citing works
Self-citationIC‐P‐171: Region‐dependent kinetics of the Tau PET tracer [18 F]‐AV‐1451 (T807)
Shcherbinin, S., Devous, M. D., Schwarz, A. J., Joshi, A. D., Navitsky, M. A., & Mintun, M. A. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.06.194 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
2 of the 34 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Huang S, Phelps M. Principles of tracer kinetic modeling in positron emission tomography and autoradiography. In: Phelps ME, Mazziotta JC, Schelbert HR, eds. Positron Emission Tomography and Autoradiography: Principles and Applications for the Brain and Heart. New York, NY: Raven Press; 1986: 287-346.
- Southekal S, Devous MD Sr, Navitsky M, Kennedy I, Joshi AD, Mintun MA. Correction for acquisition time discrepancies in SUVr analyses of 18 F-AV1451 tau images. In: 10th Human Amyloid Imaging: Conference Program and Abstracts. World Events Forum website. http://www.worldeventsforum.com/hai/wp-content/ uploads/2016/12/HAI2016_Book-1-6-16.pdf. Published 2016. Accessed March 15, 2018.
Cited by
Sorted by citations
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Donanemab in Early Symptomatic Alzheimer Disease: The TRAILBLAZER-ALZ 2 Randomized Clinical Trial
Sims, J. R., Zimmer, J. A., Evans, C. D., Lu, M., Ardayfio, P., Sparks, J., Wessels, A. M., Shcherbinin, S., Wang, H., Monkul Nery, E. S., et al. (2023) · JAMA · doi:10.1001/jama.2023.13239 · Cited by 2,932 · see citing works
Self-citationDonanemab in Early Alzheimer’s Disease
Mintun, M. A., Lo, A. C., Duggan Evans, C., Wessels, A. M., Ardayfio, P. A., Andersen, S. W., Shcherbinin, S., Sparks, J., Sims, J. R., Brys, M., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2100708 · Cited by 1,728 · see citing works
Self-citationAssociation of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study
Hanseeuw, B. J., Betensky, R. A., Jacobs, H. I. L., Schultz, A. P., Sepulcre, J., Becker, J. A., Cosio, D. M. O., Farrell, M., Quiroz, Y. T., Mormino, E. C., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1424 · Cited by 865 · see citing works
Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) investigators, Thijssen, E. H., La Joie, R., Wolf, A., Strom, A., Wang, P., Iaccarino, L., Bourakova, V., Cobigo, Y., Heuer, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0762-2 · Cited by 761 · see citing works
Tau PET imaging in neurodegenerative tauopathies—still a challenge
Leuzy, A., Chiotis, K., Lemoine, L., Gillberg, P.-G., Almkvist, O., Rodriguez-Vieitez, E., & Nordberg, A. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0342-8 · Cited by 628 · see citing works
Amyloid-β-independent regulators of tau pathology in Alzheimer disease
van der Kant, R., Goldstein, L. S. B., & Ossenkoppele, R. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-019-0240-3 · Cited by 580 · see citing works
Longitudinal tau PET in ageing and Alzheimer’s disease
Jack, C. R., Wiste, H. J., Schwarz, C. G., Lowe, V. J., Senjem, M. L., Vemuri, P., Weigand, S. D., Therneau, T. M., Knopman, D. S., Gunter, J. L., et al. (2018) · Brain · doi:10.1093/brain/awy059 · Cited by 452 · see citing works
Cerebrospinal fluid p-tau217 performs better than p-tau181 as a biomarker of Alzheimer's disease
Janelidze, S., Stomrud, E., Smith, R., Palmqvist, S., Mattsson, N., Airey, D. C., Proctor, N. K., Chai, X., Shcherbinin, S., Sims, J. R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15436-0 · Cited by 450 · 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-citationJack, C. R., Therneau, T. M., Weigand, S. D., Wiste, H. J., Knopman, D. S., Vemuri, P., Lowe, V. J., Mielke, M. M., Roberts, R. O., Machulda, M. M., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1971 · Cited by 300 · see citing works
A walk through tau therapeutic strategies
Jadhav, S., Ávila, J., Schöll, M., Kovács, G. G., Kövari, E., Škrabana, R., Evans, L., Kontseková, E., Malawska, B., de Silva, R., et al. (2019) · Acta Neuropathologica Communications · doi:10.1186/s40478-019-0664-z · Cited by 286 · see citing works
Longitudinal tau accumulation and atrophy in aging and alzheimer disease
Harrison, T. M., Joie, R. L., Maaß, A., Baker, S. L., Swinnerton, K. N., Fenton, L. E., Mellinger, T. J., Edwards, L., Pham, J. Q., Miller, B. L., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25406 · Cited by 262 · see citing works
Hsu, J., Wei, Y., Toh, C., Hsiao, I., Lin, K., Yen, T., Liao, M., & Ro, L. (2022) · Annals of Neurology · doi:10.1002/ana.26516 · Cited by 261 · 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-citationSchöll, M., Maaß, A., Mattsson, N., Ashton, N. J., Blennow, K., Zetterberg, H., & Jagust, W. J. (2018) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.12.001 · Cited by 227 · see citing works
Shcherbinin, S., Evans, C. D., Lu, M., Andersen, S. W., Pontecorvo, M. J., Willis, B. A., Gueorguieva, I., Hauck, P. M., Brooks, D. A., Mintun, M. A., et al. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2022.2793 · Cited by 210 · see citing works
Self-citationMicroglial activation and tau burden predict cognitive decline in Alzheimer’s disease
Malpetti, M., Kievit, R. A., Passamonti, L., Jones, P. S., Tsvetanov, K. A., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, W. R., Su, L., et al. (2020) · Brain · doi:10.1093/brain/awaa088 · Cited by 194 · see citing works
Tau PET Imaging in Neurodegenerative Disorders
Groot, C., Villeneuve, S., Smith, R., Hansson, O., & Ossenkoppele, R. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263196 · Cited by 137 · see citing works
The accumulation rate of tau aggregates is higher in females and younger amyloid-positive subjects
Smith, R. A., Strandberg, O. T., Mattsson, N., Leuzy, A., Palmqvist, S., Pontecorvo, M. J., Devous, M. D., Ossenkoppele, R., & Hansson, O. (2020) · Brain · doi:10.1093/brain/awaa327 · Cited by 132 · see citing works
Self-citationBaker, S. L., Harrison, T. M., Maass, A., La Joie, R., & Jagust, W. J. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.118.224113 · Cited by 132 · see citing works
Propagation of Tau Pathology: Integrating Insights From Postmortem and In Vivo Studies
Vogels, T., Leuzy, A., Cicognola, C., Ashton, N. J., Smolek, T., Novák, M., Blennow, K., Zetterberg, H., Hromádka, T., Žilka, N., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.09.019 · Cited by 94 · see citing works
Progressive Tau Accumulation in Alzheimer Disease: 2-Year Follow-up Study
Cho, H., Choi, J. Y., Lee, H. S., Lee, J. H., Ryu, Y. H., Lee, M. S., Jack, C. R., & Lyoo, C. H. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.118.221697 · Cited by 94 · see citing works
Longitudinal tau-PET uptake and atrophy in atypical Alzheimer's disease
Sintini, I., Martin, P. R., Graff‐Radford, J., Senjem, M. L., Schwarz, C. G., Machulda, M. M., Spychalla, A. J., Drubach, D. A., Knopman, D. S., Petersen, R. C., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101823 · Cited by 81 · see citing works
Test-retest reproducibility for the tau PET imaging agent flortaucipir F 18.
Devous, M. D., Joshi, A. D., Navitsky, M., Southekal, S., Pontecorvo, M. J., Shen, H., Lu, M., Shankle, W. R., Seibyl, J. P., Marek, K., et al. (2018) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.200691 · Cited by 79 · see citing works
Self-citationTakahata, K., Kimura, Y., Sahara, N., Koga, S., Shimada, H., Ichise, M., Saito, F., Moriguchi, S., Kitamura, S., Kubota, M., et al. (2019) · Brain · doi:10.1093/brain/awz238 · Cited by 79 · see citing works
Genistein effect on cognition in prodromal Alzheimer’s disease patients. The GENIAL clinical trial
Viña, J., Escudero, J. V., Baquero, M., Cebrián, M., Carbonell‐Asins, J. A., Muñoz, J. E., Satorres, E., Meléndez, J. C., Ferrer-Rebolleda, J., Cozar, M., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01097-2 · Cited by 74 · see citing works
PET molecular imaging for pathophysiological visualization in Alzheimer’s disease
Wang, J., Jin, C., Zhou, J., Zhou, R., Tian, M., Lee, H. J., & Zhang, H. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-05999-z · Cited by 66 · see citing works
Guo, T., Korman, D., Joie, R. L., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00665-8 · Cited by 66 · see citing works
Topographic staging of tau positron emission tomography images
Schwarz, A. J., Shcherbinin, S., Slieker, L. J., Risacher, S. L., Charil, A., Irizarry, M. C., Fleisher, A., Southekal, S. S., Joshi, A. D., Devous, M. D., et al. (2018) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.01.006 · Cited by 62 · see citing works
Self-citationBollack, A., Pemberton, H., Collij, L. E., Markiewicz, P. J., Cash, D. M., Farrar, G., & Barkhof, F. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13158 · Cited by 49 · see citing works
In vivo binding of a tau imaging probe, [11C]PBB3, in patients with progressive supranuclear palsy
Endo, H., Shimada, H., Sahara, N., Ono, M., Koga, S., Kitamura, S., Niwa, F., Hirano, S., Kimura, Y., Ichise, M., et al. (2019) · Movement Disorders · doi:10.1002/mds.27643 · Cited by 49 · see citing works
Assessment of Efficacy and Safety of Zagotenemab
Fleisher, A., Munsie, L. M., David, P., Andersen, S. W., Higgins, I. A., Hauck, P. M., Lo, A., Sims, J. R., Bryś, M., Mintun, M. A., et al. (2024) · Neurology · doi:10.1212/wnl.0000000000208061 · Cited by 47 · see citing works
Self-citationTosun, D., Demir, Z., Veitch, D. P., Weintraub, D. A., Aisen, P. S. S., Jack, C. R., Jagust, W., Petersen, R. C., Saykin, A. J., Shaw, L. M. J., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12480 · Cited by 46 · see citing works
Rasagiline effects on glucose metabolism, cognition, and tau in Alzheimer's dementia
Matthews, D. C., Ritter, A. R., Thomas, R. G., Andrews, R. D., Lukic, A. S., Revta, C., Kinney, J. W., Tousi, B., Leverenz, J. B., Fillit, H. M., et al. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12106 · Cited by 44 · see citing works
Donanemab in preclinical Alzheimer's disease: Screening and baseline data from TRAILBLAZER‐ALZ 3
Yaari, R., Holdridge, K. C., Williamson, M., Wessels, A. M., Shcherbinin, S., Kotari, V., Reiman, E. M., Tariot, P. N., Alexander, R., Langbaum, J. B. S., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70662 · Cited by 42 · see citing works
Schwarz, C. G., Therneau, T. M., Weigand, S. D., Gunter, J. L., Lowe, V. J., Przybelski, S. A., Senjem, M. L., Botha, H., Vemuri, P., Kantarci, K., et al. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118259 · Cited by 41 · see citing works
Temporal trajectories of in vivo tau and amyloid-β accumulation in Alzheimer’s disease
Baek, M. S., Cho, H., Lee, H. S., Choi, J. Y., Lee, J., Ryu, Y. H., Lee, M. S., & Lyoo, C. H. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-04773-3 · Cited by 36 · see citing works
Devous, M. D., Fleisher, A., Pontecorvo, M. J., Lu, M., Siderowf, A. D., Navitsky, M. A., Kennedy, I. A., Southekal, S. S., Harris, T. S., & Mintun, M. A. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-200808 · Cited by 37 · see citing works
Self-citationTimmers, T., Ossenkoppele, R., Visser, D., Tuncel, H., Wolters, E. E., Verfaillie, S. C. J., van der Flier, W. M., Boellaard, R., Golla, S. S. V., & van Berckel, B. N. M. (2019) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x19879226 · Cited by 32 · see citing works
Phillips, J. S., Nitchie, F. J., Re, F. D., Olm, C. A., Cook, P. A., McMillan, C. T., Irwin, D. J., Gee, J. C., Dubroff, J. G., Grossman, M., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12456 · Cited by 31 · see citing works
Burnham, S. C., Iaccarino, L., Pontecorvo, M. J., Fleisher, A., Lu, M., Collins, E. C., & Devous, M. D. (2023) · Brain Communications · doi:10.1093/braincomms/fcad305 · Cited by 29 · see citing works
Self-citationTagai, K., Ikoma, Y., Endo, H., Debnath, O. B., Seki, C., Matsuoka, K., Matsumoto, H., Oya, M., Hirata, K., Shinotoh, H., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119763 · Cited by 28 · see citing works
Li, Y., Ng, Y. L., Paranjpe, M. D., Ge, Q., Gu, F., Li, P., Yan, S., Lu, J., Wang, X., Zhou, Y., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25774 · Cited by 25 · see citing works
Kotari, V., Southekal, S. S., Navitsky, M. A., Kennedy, I. A., Lu, M., Morris, A., Zimmer, J. A., Fleisher, A., Mintun, M. A., Devous, M. D., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01160-6 · Cited by 23 · see citing works
Self-citationZhou, Y., Flores, S. E., Mansor, S., Hornbeck, R. C., Tu, Z., Perlmutter, J. S., Ances, B. M., Morris, J. C., Gropler, R. J., & Benzinger, T. L. S. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05134-w · Cited by 21 · see citing works
Advances in PET imaging of protein aggregates associated with neurodegenerative disease
Higuchi, M., Tagai, K., Takahata, K., & Endo, H. (2025) · Nature Reviews Neurology · doi:10.1038/s41582-025-01126-2 · Cited by 19 · see citing works
PET-based classification of corticobasal syndrome
Nakano, Y., Shimada, H., Shinotoh, H., Hirano, S., Tagai, K., Sano, Y., Yamamoto, Y., Endo, H., Matsuoka, K., Takahata, K., et al. (2022) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2022.04.015 · Cited by 17 · see citing works
Moscoso, A., Grothe, M. J., Schöll, M., & Initiative, A. D. N. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05195-5 · Cited by 16 · see citing works
Zhang, H., Wang, M., Lu, J., Bao, W., Li, L., Jiang, J., Zuo, C., & Initiative, A. A. D. N. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.598234 · Cited by 16 · see citing works
Tau as a diagnostic instrument in clinical trials to predict amyloid in Alzheimer's disease
Shcherbinin, S., Morris, A., Higgins, I. A., Tunali, I., Lu, M., Deveau, C., Southekal, S. S., Kotari, V., Evans, C. D., Arora, A., et al. (2023) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12415 · Cited by 15 · see citing works
Self-citationPET/CT/MRI in Clinical Trials of Alzheimer’s Disease
Høilund‐Carlsen, P. F., Alavi, A. A., & Barrio, J. R. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240206 · Cited by 13 · see citing works
Initiative, T. A. D. N., Wang, M., Yan, Z., Zhang, H., Lu, J., Li, L., Yu, J., Wang, J., Matsuda, H., Zuo, C., et al. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-110 · Cited by 13 · see citing works
Lagarde, J., Olivieri, P., Tonietto, M., Rodrigo, S., Gervais, P., Caillé, F., Moussion, M., Bottlaender, M., & Sarazin, M. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01237-2 · Cited by 13 · see citing works
Tau accumulation in autosomal dominant Alzheimer’s disease: a longitudinal [18F]flortaucipir study
O’Connor, A., Cash, D. M., Poole, T., Markiewicz, P. J., Fraser, M. R., Malone, I. B., Jiao, J., Weston, P. S. J., Flores, S. E., Hornbeck, R. C., et al. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01234-5 · Cited by 14 · see citing works
Hsu, J., Wei, Y., Hsiao, I., Lin, K., Yen, T., Lu, C., Wang, H., Leemans, A., Weng, Y.-H., & Huang, K. (2024) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000005141 · Cited by 12 · see citing works
Association of tau accumulation and atrophy in mild cognitive impairment: a longitudinal study
Xu, G., Zheng, S., Zhu, Z., Yu, X., Jiang, J. C., Jiang, J., Chu, Z., & Initiative, A. D. N. (2020) · Annals of Nuclear Medicine · doi:10.1007/s12149-020-01506-2 · Cited by 12 · see citing works
Is longitudinal tau PET ready for use in Alzheimer’s disease clinical trials?
Hansson, O., & Mormino, E. C. (2018) · Brain · doi:10.1093/brain/awy065 · Cited by 10 · see citing works
Santillo, A. F., Leuzy, A., Honer, M., Waldö, M. L., Tideman, P., Harper, L., Ohlsson, T. G., Moes, S., Giannini, L., Jögi, J., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-06065-4 · Cited by 10 · see citing works
Clear‐headed into old age: Resilience and resistance against brain aging—A PET imaging perspective
Hoenig, M. C., & Drzezga, A. E. (2022) · Journal of Neurochemistry · doi:10.1111/jnc.15598 · Cited by 9 · see citing works
Lu, J., Clement, C., Hong, J., Wang, M., Li, X., Cavinato, L., Yen, T., Jiao, F., Wu, P., Wu, J., et al. (2023) · iScience · doi:10.1016/j.isci.2023.107426 · Cited by 10 · see citing works
Centiloid scale analysis for 18F-THK5351 PET imaging in Alzheimer’s disease
Yamao, T., Miwa, K., Wagatsuma, K., Shigemoto, Y., Sato, N., Akamatsu, G., Ito, H., & Matsuda, H. (2021) · Physica Medica · doi:10.1016/j.ejmp.2021.02.017 · Cited by 10 · see citing works
Wang, X., Wang, M., Wang, X., Zhou, F., Jiang, J., Liu, H., & Han, Y. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00558-w · Cited by 9 · see citing works
Tosun, D., Thropp, P., Southekal, S. S., Spottiswoode, B. S., Fahmi, R., & Initiative, A. D. N. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13164 · Cited by 8 · see citing works
Self-citationSenda, M., Ishii, K., Ito, K., Ikeuchi, T., Matsuda, H., Iwatsubo, T., Iwata, A., Ihara, R., Suzuki, K., Kasuga, K., et al. (2021) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2021.37 · Cited by 7 · see citing works
Liu, M., Chang, H., Huang, S., Huang, C., Hsu, S., Lin, K., Ho, T., Huang, K., Cheng, C., & Chang, C. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111343 · Cited by 4 · see citing works
Continuum of Core 1 biomarkers in preclinical Alzheimer’s disease
Digma, L. A., Young, C. B., Winer, J. R., Cody, K. A., Younes, K., Sheng, J., Insel, P. S., Rissman, R. A., Sperling, R. A., & Mormino, E. C. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02044-1 · Cited by 4 · see citing works
Tau positron emission tomography in tauopathies: A narrative review
Lee, H., Gu, Y., Seo, S. W., & Moon, S. H. (2023) · Precision and Future Medicine · doi:10.23838/pfm.2023.00016 · Cited by 3 · see citing works
He, M., Baker, S. L., Shah, V. D., Lockhart, S. N., & Jagust, W. J. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2870441 · Cited by 3 · see citing works
Connectome-Mediated Prediction of Future Tau-PET Burden in Alzheimer’s Disease
Damasceno, P. F., Joie, R. L., Shcherbinin, S., Southekal, S. S., Kotari, V., Higgins, I. A., Collins, E. C., Rabinovici, G. D., Mintun, M. A., & Raj, A. (2022) · Journal of Biotechnology and Biomedicine · doi:10.26502/jbb.2642-91280065 · Cited by 3 · see citing works
Self-citationJoint EANM/SNMMI recommendations on the use of Tau PET imaging in Alzheimer's disease
Brendel, M., Kuo, P. H., Brumberg, J., Doré, V., Drzezga, A. E., Garibotto, V., Leuzy, A., Mathoux, G., Meyer, P. T., Moscoso, A., et al. (2026) · The EANM Journal · doi:10.1016/j.eanmj.2026.100214 · Cited by 3 · see citing works
Ikari, Y., Akamatsu, G., Matsumoto, K., Yamane, T., Senda, M., & Fukuchi, K. (2024) · Journal of Nuclear Medicine Technology · doi:10.2967/jnmt.123.267113 · Cited by 2 · see citing works
de Vries, B. M., Timmers, T., Wolters, E. E., Ossenkoppele, R., Verfaillie, S. C. J., Schuit, R. C., Scheltens, P., van der Flier, W. M., Windhorst, A. D., van Berckel, B. N. M., et al. (2021) · Molecular Imaging and Biology · doi:10.1007/s11307-020-01572-y · Cited by 2 · see citing works
Updates of nuclear medicine imaging in neurodegenerative disorders
Huang, S., Lin, K., Hung, G., & Hsiao, I. (2025) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2025.11.032 · Cited by 1 · see citing works
Tau conformation, distribution and PET imaging correlations in progressive supranuclear palsy
Dong, C., Ma, J., Qiao, H., Tamagnan, G. D., Chan, P., & Liu, S. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00545-5 · Cited by 2 · see citing works
Matthews, D. C., Ritter, A. R., Thomas, R. G., Andrews, R. D., Lukic, A. S., Revta, C., Kinney, J. W., Tousi, B., Leverenz, J. B., Fillit, H. M., et al. (2020) · doi:10.21203/rs.3.rs-39380/v1 · Cited by 1 · see citing works
Brain Imaging for Alzheimer’s Disease Clinical Trials
Matthews, D. C., & Schmidt, M. E. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108975759.034
Genistein effect on cognition in early Alzheimer’s disease patients. The GENIAL clinical trialPreprint
Viña, J., Escudero, J. V., Baquero, M., Carbonell‐Asins, J. A., Tarazona‐Santabalbina, F. J., Cebrián, M., Muñoz, J. E., Satorres, E., Meléndez, J. C., Rebolleda, J. F., et al. (2022) · medRxiv · doi:10.1101/2022.06.01.22275832
Oliveira, F. P. M., & Costa, D. C. (2023) · European Radiology · doi:10.1007/s00330-023-09637-6
Liu, M., Huang, C., Huang, S., Chang, H., Hsu, S., Lin, K., Ho, T., Huang, K., Cheng, C., & Chang, C. (2024) · Research Square · doi:10.21203/rs.3.rs-3932300/v1
Lam, J., Rodríguez‐Cruces, R., Arafat, T., Royer, J., Chen, J., Dascal, A., Sahlas, E., Pana, R., Hopewell, R., Hsiao, C. H.-H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.13.655622
Kotari, V., Southekal, S. S., Navitsky, M. A., Kennedy, I. A., Lu, M., Morris, A., Zimmer, J. A., Fleisher, A. S., Mintun, M. A., Devous, M. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26571886
Self-citationViña, J., Escudero, J., Baquero, M., Cebrián, M., Carbonell-Asíns, J. A., Muñoz, J. E., Satorres, E., Melendez, J. C., Ferrer-Rebolleda, J., Cózar-Santiago, M. D. P., et al. (2022) · Figshare · doi:10.6084/m9.figshare.21500779
Kotari, V., Southekal, S. S., Navitsky, M. A., Kennedy, I. A., Lu, M., Morris, A., Zimmer, J. A., Fleisher, A. S., Mintun, M. A., Devous, M. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26571898
Self-citationKotari, V., Southekal, S. S., Navitsky, M. A., Kennedy, I. A., Lu, M., Morris, A., Zimmer, J. A., Fleisher, A. S., Mintun, M. A., Devous, M. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26571892
Self-citationKotari, V., Southekal, S. S., Navitsky, M. A., Kennedy, I. A., Lu, M., Morris, A., Zimmer, J. A., Fleisher, A. S., Mintun, M. A., Devous, M. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26571895
Self-citationKotari, V., Southekal, S. S., Navitsky, M. A., Kennedy, I. A., Lu, M., Morris, A., Zimmer, J. A., Fleisher, A. S., Mintun, M. A., Devous, M. D., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26571889
Self-citationO’Connor, A., Cash, D. M., Poole, T., Markiewicz, P. J., Fraser, M. R., Malone, I. B., Jiao, J., Weston, P. S. J., Flores, S. E., Hornbeck, R. C., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23208001
Spatiotemporal Tau Accumulation and Its Clinical Impact on PSP: Longitudinal Florzolotau (18F) PETPreprint
Chishiki, Y., Tagai, K., Kataoka, Y., Goto, R., Osawa, K., Oyama, A., Matsumoto, H., Ichihashi, M., Momota, Y., Kamada, T., et al. (2026) · medRxiv · doi:10.64898/2026.04.26.26350467
Interchangeability of CSF and PET to identify Alzheimer's disease pathology
Burnham, S. C., Arora, A., Iaccarino, L., Kennedy, I. A., Kotari, V., Wijayawardana, S. R., Shaw, L. M. J., Benina, N., Lu, M., Pontecorvo, M. J., et al. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70288
Self-citationHuang, C.-W., Chang, H.-I., Chang, T., Lin, K., Hsu, S., Lee, C.-C., Huang, S., & Chang, C. (2026) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-026-08121-9
Chishiki, Y., Tagai, K., Kataoka, Y., Goto, R., Osawa, K., Oyama, A., Matsumoto, H., Ichihashi, M., Momota, Y., Kamada, T., et al. (2026) · Movement Disorders · doi:10.1002/mds.70468
- Authors
- Southekal, S., Devous, M. D., Kennedy, I., Navitsky, M., Lu, M., Joshi, A. D., Pontecorvo, M. J., & Mintun, M. A.
- Affiliations
- Avid Radiopharmaceuticals (United States) (US)
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2017-11-30
- Volume
- 59
- Issue
- 6
- Pages
- 944-951
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2771176174
- Cited by
- 92
- References
- 34
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 10 · 2023: 12 · 2022: 14 · 2021: 13 · 2020: 10 · 2019: 13 · 2018: 7 · 2017: 1
- FWCI
- 6.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nuclear Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eli Lilly and Company
- Avid Radiopharmaceuticals
- 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
- tau PET, Persis, standardized uptake value ratio, test-retest reproducibility, Alzheimer's disease, mild cognitive impairment, amyloid status, florbetapir
- MeSH terms
- Aged, Alzheimer Disease, Carbolines, Female, Humans, Image Processing, Computer-Assisted, Male, Reference Standards, Positron-Emission Tomography
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review