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Fu JF, Juttukonda MR, Garimella A, Salvatore AN, Lois C, Ranasinghe A, Efthimiou N, Sari H, Aye W, Guehl NJ, El Fakhri G, Johnson KA, Dickerson BC, Izquierdo-Garcia D, Catana C, Price JC. [ 18F]MK-6240 Radioligand Delivery Indices as Surrogates of Cerebral Perfusion: Bias and Correlation Against [ 15O]Water. J Nucl Med 2025; 66:410-417. [PMID: 39947916 DOI: 10.2967/jnumed.124.268701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 01/06/2025] [Indexed: 03/05/2025] Open
Abstract
[18F]MK-6240 PET (where MK-6240 is 6-(fluoro)-3-(1H-pyrrolo[2,3-c]pyridin-1-yl)isoquinolin-5-amine) is used to assess in vivo tau deposition across the Alzheimer disease (AD) spectrum. We aimed to quantify the associations and bias of early-frame [18F]MK-6240 PET as surrogates for cerebral perfusion against gold standard [15O]water PET and the potential impact of cerebral perfusion on [18F]MK-6240 tau quantification across aging and the AD spectrum. Methods: Fourteen cognitively normal (CN, 4 young CN and 10 old CN) and 3 AD participants underwent dynamic [18F]MK-6240 PET, with 9 undergoing arterial sampling. A subset (n = 11) underwent [15O]water PET. [18F]MK-6240 perfusion indices were estimated as radiotracer delivery indices K 1 (using 2-tissue-compartment models), and relative perfusion indices were estimated as R1 (using compartmental and reference tissue models, cerebellar gray matter reference region) and early-frame SUV ratio (0-3 min). [15O]water K 1 and R1 were estimated using 1-tissue-compartment models). [18F]MK-6240 tau burden was estimated using distribution volume ratio and SUV ratio at 90-110 min. Spearman correlations, linear mixed-effect models, and Bland-Altman analyses examined relationships between [18F]MK-6240 perfusion indices against [15O]water and between estimates of perfusion and tau burden in tau-relevant regions. The impact of partial-volume correction was examined. Results: Significant correlations were observed between [18F]MK-6240 K 1 and [15O]water K 1 (ρ = 0.57); However, [18F]MK-6240 K 1 underestimated [15O]water K 1 by up to 50%, with a strong negative proportional bias. Significant correlations were observed between [18F]MK-6240 relative perfusion and [15O]water R1 (ρ > 0.84), with minimal bias. In 2 AD participants, significant correlations were observed between perfusion and [18F]MK-6240 retention. Applying partial-volume correction did not significantly impact the correlations or improve the underestimations in [18F]MK-6240 K 1 Conclusion: Using head-to-head [18F]MK-6240 and [15O]water data, we showed that [18F]MK-6240 exhibited a relatively low extraction fraction, leading to underestimation of cerebral perfusion. Our results provide further support for [18F]MK-6240 R1 as a reliable estimate of relative cerebral perfusion, with strong associations and minimal bias compared with [15O]water. In addition, lower perfusion may be associated with higher [18F]MK-6240 retention in tau-relevant regions in AD. These findings further support the use of dynamic [18F]MK-6240 in dual-imaging assessments of tau burden and vascular health.
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Affiliation(s)
- Jessie Fanglu Fu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts;
| | - Meher R Juttukonda
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Arun Garimella
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Andrew N Salvatore
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Cristina Lois
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Anthony Ranasinghe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Nikos Efthimiou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Hasan Sari
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - William Aye
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- New Zealand Brain Research Institute, Christchurch Central City, Canterbury, New Zealand; and
| | - Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Keith A Johnson
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bradford C Dickerson
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - David Izquierdo-Garcia
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ciprian Catana
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Julie C Price
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts;
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Alosco ML, Mejía Pérez J, Culhane JE, Shankar R, Nowinski CJ, Bureau S, Mundada N, Smith K, Amuiri A, Asken B, Groh JR, Miner A, Pettway E, Mosaheb S, Tripodis Y, Windon C, Mercier G, Stern RA, Grinberg LT, Soleimani-Meigooni DN, Christian BT, Betthauser TJ, Stein TD, McKee AC, Mathis CA, Abrahamson EE, Ikonomovic MD, Johnson SC, Mez J, La Joie R, Schonhaut D, Rabinovici GD. 18F-MK-6240 tau PET in patients at-risk for chronic traumatic encephalopathy. Mol Neurodegener 2025; 20:23. [PMID: 39994806 PMCID: PMC11852567 DOI: 10.1186/s13024-025-00808-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Accepted: 01/30/2025] [Indexed: 02/26/2025] Open
Abstract
BACKGROUND Molecular biomarkers of chronic traumatic encephalopathy (CTE) are lacking. We evaluated 18F-MK-6240 tau PET as a biomarker for CTE. Two studies were done: (1) 3H-MK-6240 autoradiography and an in-vitro brain homogenate binding studies on postmortem CTE tissue, (2) an in-vivo 18F-MK-6240 tau PET study in former American football players. METHODS Autoradiography and in-vitro binding studies were done using 3H-MK-6240 on frozen temporal and frontal cortex tissue from six autopsy cases with stage III CTE compared to Alzheimer's disease. Thirty male former National Football League (NFL) players with cognitive concerns (mean age = 58.9, SD = 7.8) completed tau (18F-MK-6240) and Aβ (18F-Florbetapir) PET. Controls included 39 Aβ-PET negative, cognitively normal males (mean age = 65.7, SD = 6.3). 18F-MK-6240 SUVr images were created using 70-90 min post-injection data with inferior cerebellar gray matter as the reference. We compared SUVr between players and controls using voxelwise and region-of-interest approaches. Correlations between 18F-MK-6240 SUVr and cognitive scores were tested. RESULTS All six CTE stage III cases had Braak NFT stage III but no neuritic plaques. Two had Thal Phase 1 for Aβ; one showed a laminar pattern of 3H-MK-6240 autoradiography binding in the superior temporal cortex and less so in the dorsolateral frontal cortex, corresponding to tau-immunoreactive lesions detected using the AT8 antibody (pSer202/pThr205 tau) in adjacent tissue sections. The other CTE cases had low frequencies of cortical tau-immunoreactive deposits and no well-defined autoradiography binding. In-vitro 3H-MK-6240 binding studies to CTE brain homogenates in the case with autoradiography signal indicated high binding affinity (KD = 2.0 ± 0.9 nM, Bmax = 97 ± 24 nM, n = 3). All NFL players had negative Aβ-PET. There was variable, low-to-intermediate intensity 18F-MK-6240 uptake across participants: 16 had no cortical signal, 7 had medial temporal lobe (MTL) uptake, 2 had frontal uptake, and 4 had MTL and frontal uptake. NFL players had higher SUVr in the entorhinal cortex (d = 0.86, p = 0.001), and the parahippocampal gyrus (d = 0.39, p = 0.08). Voxelwise regressions showed increased uptake in NFL players in two bilateral anterior MTL clusters (p < 0.05 FWE). Higher parahippocampal and frontal-temporal SUVrs correlated with worse memory (r = -0.38, r = -0.40) and semantic fluency (r = -0.38, r = -0.48), respectively. CONCLUSION We present evidence of 3H-MK-6240 in-vitro binding to post-mortem CTE tissue homogenates and in vivo 18F-MK-6240 PET binding in the MTL among a subset of participants. Additional studies in larger samples and PET-to-autopsy correlations are required to further elucidate the potential of 18F-MK-6240 to detect tau pathology in CTE.
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Affiliation(s)
- Michael L Alosco
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston Medical Center, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jhony Mejía Pérez
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Julia E Culhane
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ranjani Shankar
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Nidhi Mundada
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Karen Smith
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Alinda Amuiri
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Breton Asken
- Department of Clinical & Health Psychology, 1Florida Alzheimer's Disease Research Center, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
| | - Jenna R Groh
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Annalise Miner
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Erika Pettway
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Sydney Mosaheb
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Yorghos Tripodis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Charles Windon
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Gustavo Mercier
- Molecular Imaging and Nuclear Medicine, Boston Medical Center, Boston, MA, USA
| | - Robert A Stern
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurosurgery, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Lea T Grinberg
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
| | - David N Soleimani-Meigooni
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Bradley T Christian
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA
| | - Tobey J Betthauser
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA
- Department of Medicine, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
- Department of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Thor D Stein
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
- U.S.Department of Veteran Affairs, VA Boston Healthcare System, Jamaica Plain, MA, USA
- Department of Psychiatry and Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Ann C McKee
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
- U.S.Department of Veteran Affairs, VA Boston Healthcare System, Jamaica Plain, MA, USA
- Department of Psychiatry and Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Chester A Mathis
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Eric E Abrahamson
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | - Milos D Ikonomovic
- Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Sterling C Johnson
- Wisconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, USA
- School of Medicine and Public Health, Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, Madison, USA
| | - Jesse Mez
- Department of Neurology, Boston University Alzheimer's Disease Research Center, Boston University CTE Center, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Renaud La Joie
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Daniel Schonhaut
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA
| | - Gil D Rabinovici
- Department of Neurology, Alzheimer's Disease Research Center, Memory & Aging Center, University of California San Francisco, San Francisco, CA, USA.
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
- University of California, San Francisco (UCSF), Memory and Aging Center MC: 1207, 675 Nelson Rising Lane, Suite 190, San Francisco, CA, 94158, USA.
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3
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Oh M, Oh SJ, Lee SJ, Oh JS, Seo SY, Ryu S, Roh JH, Lee JH, Kim JS. One-Year Longitudinal Changes in Tau Accumulation on [ 18F]PI-2620 PET in the Alzheimer Spectrum. J Nucl Med 2024; 65:453-461. [PMID: 38302152 DOI: 10.2967/jnumed.123.265893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 12/08/2023] [Accepted: 12/08/2023] [Indexed: 02/03/2024] Open
Abstract
We investigated the longitudinal changes in cortical tau accumulation and their association with cognitive decline in patients in the Alzheimer disease (AD) continuum using 2-(2-([18F]fluoro)pyridin-4-yl)-9H-pyrrolo[2,3-b:4,5c']dipyridine ([18F]PI-2620) PET. Methods: We prospectively enrolled 52 participants (age, 69.7 ± 8.4 y; 18 men and 34 women): 7 with normal cognition, 28 with mild cognitive impairment, and 17 with AD. They all completed the [18F]PI-2620 and [18F]florbetaben PET, MRI, and neuropsychologic tests at baseline and, excepting the [18F]florbetaben PET, at the 1-y follow-up. Amyloid-β (Aβ) PET images were visually scored as positive (+) or negative (-). Patients on the AD continuum, including Aβ+ mild cognitive impairment and AD, were classified into early-onset (EO+) (<65 y old) or late-onset (LO+) (≥65 y old) groups. [18F]PI-2620 PET SUV ratios (SUVRs) were determined by calculating the cerebral-to-inferior cerebellar ratio. Cortical volumes were calculated using 3-dimensional T1-weighted MRI. The correlation between tau accumulation progression and cognitive decline was also investigated. Results: The global [18F]PI-2620 PET SUVRs were 1.04 ± 0.07 in 15 Aβ- patients, 1.18 ± 0.21 in 20 LO+ patients (age, 76.7 ± 3.8 y), and 1.54 ± 0.38 in 17 EO+ patients (age, 63.4 ± 5.4 y; P < 0.001) at baseline. The global SUVR increased over 1 y by 0.05 ± 0.07 (3.90%) and 0.13 ± 0.22 (8.41%) in the LO+ and EO+ groups, respectively, whereas in the Aβ- groups, it remained unchanged. The EO+ group showed higher global and regional tau deposition than did the Aβ- and LO+ groups (P < 0.05 for each) and rapid accumulation in Braak stage V (0.15 ± 0.25; 9.10% ± 12.27%; P = 0.016 and 0.008), Braak stage VI (0.08 ± 0.12; 7.16% ± 10.06%; P < 0.006 and 0.005), and global SUVR (P = 0.013) compared with the Aβ- group. In the EO+ group, the changes in SUVR in Braak stages II-VI were strongly correlated with the baseline and changes in verbal memory (P < 0.03). The LO+ group showed higher tau accumulation in Braak stage I-IV areas than did the Aβ- group (P < 0.001 for each). In the LO+ group, the change in SUVR in Braak stages III and IV moderately correlated with the change in attention (P < 0.05), and the change in SUVR in Braak stages V and VI moderately correlated with the change in visuospatial function (P < 0.005). Conclusion: These findings suggest that [18F]PI-2620 PET can be a biomarker to provide regional and chronologic information about tau pathology in the AD continuum.
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Affiliation(s)
- Minyoung Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seung Jun Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sang Ju Lee
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jungsu S Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seung Yeon Seo
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea
| | - Soorack Ryu
- Biostatistical Consulting and Research Laboratory, Medical Research Collaborating Center, Hanyang University, Seoul, Korea
| | - Jee Hoon Roh
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
- Departments of Biomedical Sciences and Physiology, Korea University College of Medicine, Seoul, Korea; and
- Department of Neurology, Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Jae-Hong Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea;
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Rani N, Alm KH, Corona-Long CA, Speck CL, Soldan A, Pettigrew C, Zhu Y, Albert M, Bakker A. Tau PET burden in Brodmann areas 35 and 36 is associated with individual differences in cognition in non-demented older adults. Front Aging Neurosci 2023; 15:1272946. [PMID: 38161595 PMCID: PMC10757623 DOI: 10.3389/fnagi.2023.1272946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/23/2023] [Indexed: 01/03/2024] Open
Abstract
Introduction The accumulation of neurofibrillary tau tangles, a neuropathological hallmark of Alzheimer's disease (AD), occurs in medial temporal lobe (MTL) regions early in the disease process, with some of the earliest deposits localized to subregions of the entorhinal cortex. Although functional specialization of entorhinal cortex subregions has been reported, few studies have considered functional associations with localized tau accumulation. Methods In this study, stepwise linear regressions were used to examine the contributions of regional tau burden in specific MTL subregions, as measured by 18F-MK6240 PET, to individual variability in cognition. Dependent measures of interest included the Clinical Dementia Rating Sum of Boxes (CDR-SB), Mini Mental State Examination (MMSE), and composite scores of delayed episodic memory and language. Other model variables included age, sex, education, APOE4 status, and global amyloid burden, indexed by 11C-PiB. Results Tau burden in right Brodmann area 35 (BA35), left and right Brodmann area 36 (BA36), and age each uniquely contributed to the proportion of explained variance in CDR-SB scores, while right BA36 and age were also significant predictors of MMSE scores, and right BA36 was significantly associated with delayed episodic memory performance. Tau burden in both left and right BA36, along with education, uniquely contributed to the proportion of explained variance in language composite scores. Importantly, the addition of more inclusive ROIs, encompassing less granular segmentation of the entorhinal cortex, did not significantly contribute to explained variance in cognition across any of the models. Discussion These findings suggest that the ability to quantify tau burden in more refined MTL subregions may better account for individual differences in cognition, which may improve the identification of non-demented older adults who are on a trajectory of decline due to AD.
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Affiliation(s)
- Nisha Rani
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Kylie H. Alm
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Caitlin A. Corona-Long
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Caroline L. Speck
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Yuxin Zhu
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Arnold Bakker
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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5
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Shuping JL, Matthews DC, Adamczuk K, Scott D, Rowe CC, Kreisl WC, Johnson SC, Lukic AS, Johnson KA, Rosa‐Neto P, Andrews RD, Van Laere K, Cordes L, Ward L, Wilde CL, Barakos J, Purcell DD, Devanand DP, Stern Y, Luchsinger JA, Sur C, Price JC, Brickman AM, Klunk WE, Boxer AL, Mathotaarachchi SS, Lao PJ, Evelhoch JL. Development, initial validation, and application of a visual read method for [ 18F]MK-6240 tau PET. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2023; 9:e12372. [PMID: 36873926 PMCID: PMC9983143 DOI: 10.1002/trc2.12372] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 12/14/2022] [Accepted: 12/15/2022] [Indexed: 02/15/2023]
Abstract
Background The positron emission tomography (PET) radiotracer [18F]MK-6240 exhibits high specificity for neurofibrillary tangles (NFTs) of tau protein in Alzheimer's disease (AD), high sensitivity to medial temporal and neocortical NFTs, and low within-brain background. Objectives were to develop and validate a reproducible, clinically relevant visual read method supporting [18F]MK-6240 use to identify and stage AD subjects versus non-AD and controls. Methods Five expert readers used their own methods to assess 30 scans of mixed diagnosis (47% cognitively normal, 23% mild cognitive impairment, 20% AD, 10% traumatic brain injury) and provided input regarding regional and global positivity, features influencing assessment, confidence, practicality, and clinical relevance. Inter-reader agreement and concordance with quantitative values were evaluated to confirm that regions could be read reliably. Guided by input regarding clinical applicability and practicality, read classifications were defined. The readers read the scans using the new classifications, establishing by majority agreement a gold standard read for those scans. Two naïve readers were trained and read the 30-scan set, providing initial validation. Inter-rater agreement was further tested by two trained independent readers in 131 scans. One of these readers used the same method to read a full, diverse database of 1842 scans; relationships between read classification, clinical diagnosis, and amyloid status as available were assessed. Results Four visual read classifications were determined: no uptake, medial temporal lobe (MTL) only, MTL and neocortical uptake, and uptake outside MTL. Inter-rater kappas were 1.0 for the naïve readers gold standard scans read and 0.98 for the independent readers 131-scan read. All scans in the full database could be classified; classification frequencies were concordant with NFT histopathology literature. Discussion This four-class [18F]MK-6240 visual read method captures the presence of medial temporal signal, neocortical expansion associated with disease progression, and atypical distributions that may reflect different phenotypes. The method demonstrates excellent trainability, reproducibility, and clinical relevance supporting clinical use. Highlights A visual read method has been developed for [18F]MK-6240 tau positron emission tomography.The method is readily trainable and reproducible, with inter-rater kappas of 0.98.The read method has been applied to a diverse set of 1842 [18F]MK-6240 scans.All scans from a spectrum of disease states and acquisitions could be classified.Read classifications are consistent with histopathological neurofibrillary tangle staging literature.
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Affiliation(s)
| | | | | | | | - Christopher C. Rowe
- Department of Molecular Imaging and TherapyAustin HealthMelbourneVictoriaAustralia
- Florey Department of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - William C. Kreisl
- Department of NeurologyThe Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Columbia University Irving Medical CenterVagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
| | - Sterling C. Johnson
- Department of MedicineDivision of GeriatricsAlzheimer's Disease Research Center, University of WisconsinMadisonWisconsinUSA
| | | | - Keith A. Johnson
- The Gordon Center for Medical ImagingDepartment of NeurologyCenter for Alzheimer Research and TreatmentBrigham and Women's HospitalBostonMassachusettsUSA
- Department of RadiologyAthinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Pedro Rosa‐Neto
- Montreal Neurological InstituteMcGill UniversityMontréalQuebecCanada
| | | | - Koen Van Laere
- Nuclear Medicine and Molecular ImagingDepartment of Imaging and Pathology KU LeuvenLeuvenBelgium
| | | | - Larry Ward
- Florey Department of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | | | | | | | - Davangere P. Devanand
- Department of NeurologyThe Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Columbia University Irving Medical CenterVagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
- Department of PsychiatryColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Yaakov Stern
- Department of NeurologyThe Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Columbia University Irving Medical CenterVagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
- Department of PsychiatryColumbia University Irving Medical CenterNew YorkNew YorkUSA
- Department of NeurologyGertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
| | - Jose A. Luchsinger
- Columbia University Irving Medical CenterVagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
- Department of Medicine and EpidemiologyColumbia University Irving Medical CenterNew York, NY, 10032 USA For Dr. LuchsingerUSA
| | | | - Julie C. Price
- Department of RadiologyAthinoula A. Martinos Center for Biomedical ImagingMassachusetts General HospitalHarvard Medical SchoolCharlestownMassachusettsUSA
| | - Adam M. Brickman
- Department of NeurologyThe Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Columbia University Irving Medical CenterVagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
- Department of NeurologyGertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
| | - William E. Klunk
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Adam L. Boxer
- Department of NeurologyMemory and Aging CenterUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | | | - Patrick J. Lao
- Department of NeurologyThe Taub Institute for Research on Alzheimer's Disease and the Aging BrainColumbia UniversityNew YorkNew YorkUSA
- Columbia University Irving Medical CenterVagelos College of Physicians and SurgeonsNew YorkNew YorkUSA
- Department of NeurologyGertrude H. Sergievsky CenterColumbia UniversityNew YorkNew YorkUSA
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