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Kameyama M. Is Permeability Surface Area Product of [ 18F]Florbetaben Comparable to That of H 2O? J Nucl Med 2024; 65:992. [PMID: 38575186 DOI: 10.2967/jnumed.123.267291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 01/22/2024] [Accepted: 01/31/2024] [Indexed: 04/06/2024] Open
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Holy EN, Li E, Bhattarai A, Fletcher E, Alfaro ER, Harvey DJ, Spencer BA, Cherry SR, DeCarli CS, Fan AP. Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET. EJNMMI Res 2024; 14:39. [PMID: 38625413 PMCID: PMC11021392 DOI: 10.1186/s13550-024-01104-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/02/2024] [Indexed: 04/17/2024] Open
Abstract
BACKGROUND Kinetic modeling of 18F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. METHODS 18F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer's disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 s after injection. Dynamic time-activity curves (TACs) for 110 min were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT, Vs) in key brain regions with early amyloid accumulation. Non-displaceable binding potential ([Formula: see text] was also calculated from the multi-reference tissue model (MRTM). RESULTS Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with [Formula: see text] analysis. [Formula: see text]and VT from kinetic models were correlated (r² = 0.46, P < 2[Formula: see text] with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated ([Formula: see text]= 0.65, P < 2[Formula: see text]) with Logan graphical VT estimation. CONCLUSION Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to [Formula: see text]in amyloid-positive and amyloid-negative older individuals.
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Affiliation(s)
- Emily Nicole Holy
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA.
- Department of Biomedical Engineering, UC Davis, Davis, USA.
| | - Elizabeth Li
- Department of Biomedical Engineering, UC Davis, Davis, USA
| | - Anjan Bhattarai
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
- Department of Biomedical Engineering, UC Davis, Davis, USA
| | - Evan Fletcher
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
| | - Evelyn R Alfaro
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
| | | | - Benjamin A Spencer
- Department of Biomedical Engineering, UC Davis, Davis, USA
- Department of Radiology, UC Davis Health, Davis, USA
| | - Simon R Cherry
- Department of Biomedical Engineering, UC Davis, Davis, USA
- Department of Radiology, UC Davis Health, Davis, USA
| | - Charles S DeCarli
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
| | - Audrey P Fan
- Department of Neurology, University of California (UC) Davis Health, 1590 Drew Avenue, Davis, CA, 95618, USA
- Department of Biomedical Engineering, UC Davis, Davis, USA
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Na S, Lee C, Ho S, Hong YJ, Jeong JH, Park KH, Kim S, Wang MJ, Choi SH, Han S, Kang SW, Kang S, Yang DW. A Longitudinal Study on Memory Enhancement in Subjective Cognitive Decline Patients: Clinical and Neuroimaging Perspectives. J Alzheimers Dis 2024; 97:193-204. [PMID: 38108349 DOI: 10.3233/jad-230667] [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] [Indexed: 12/19/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) refers to the self-reported persistent cognitive decline despite normal objective testing, increasing the risk of dementia compared to cognitively normal individuals. OBJECTIVE This study aims to investigate the attributes of SCD patients who demonstrated memory function improvement. METHODS In this prospective study of SCD, a total of 120 subjects were enrolled as part of a multicenter cohort study aimed at identifying predictors for the clinical progression to mild cognitive impairment or dementia (CoSCo study). All subjects underwent 18F-florbetaben PET and brain MRI scans at baseline and annual neuropsychological tests. At the 24-month follow-up, we classified SCD patients based on changes in memory function, the z-score of the Seoul verbal learning test delayed recall. RESULTS Of the 120 enrolled patients, 107 successfully completed the 24-month follow-up assessment. Among these, 80 patients (74.8%) with SCD exhibited memory function improvements. SCD patients with improved memory function had a lower prevalence of coronary artery disease at baseline and performed better in the trail-making test part B compared to those without improvement. Anatomical and biomarker analysis showed a lower frequency of amyloid PET positivity and larger volumes in the left and right superior parietal lobes in subjects with improved memory function. CONCLUSIONS Our prospective study indicates that SCD patients experiencing memory improvement over a 24-month period had a lower amyloid burden, fewer cardiovascular risk factors, and superior executive cognitive function. Identifying these key factors associated with cognitive improvement may assist clinicians in predicting future memory function improvements in SCD patients.
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Affiliation(s)
- Seunghee Na
- Department of Neurology, College of Medicine, The Catholic University of Korea, Incheon St. Mary's Hospital, Incheon, South Korea
| | - Chonghwee Lee
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, South Korea
| | - SeongHee Ho
- Department of Neurology, Hanyang University Hanmaeum Changwon Hospital, Changwon, Korea
| | - Yun Jeong Hong
- Department of Neurology, College of Medicine, The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Uijeongbu, South Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University School of Medicine, Seoul, South Korea
| | - Kee Hyung Park
- Department of Neurology, Gachon University Gil Hospital, Incheon, South Korea
| | - SangYun Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | | | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, South Korea
| | | | - Seung Wan Kang
- Data Center for Korean EEG, College of Nursing, Seoul National University, Seoul, South Korea
- iMediSync Inc. Seoul, South Korea
| | - Sungmin Kang
- Research and Development, PeopleBio Inc., Seongnam-si, Gyeonggi-do, South Korea
| | - Dong Won Yang
- Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, South Korea
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Holy EN, Li E, Bhattarai A, Fletcher E, Alfaro ER, Harvey DJ, Spencer BA, Cherry SR, DeCarli CS, Fan AP. Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET. RESEARCH SQUARE 2023:rs.3.rs-3764930. [PMID: 38234716 PMCID: PMC10793501 DOI: 10.21203/rs.3.rs-3764930/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Purpose Kinetic modeling of 18F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. Methods 18F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer's disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 seconds after injection. Dynamic time-activity curves (TACs) for 110 minutes were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT, Vs) in key brain regions with early amyloid accumulation. Non-displaceable binding potential (BPND) was also calculated from the multi-reference tissue model (MRTM). Results Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with BPND analysis. BPND and VT from kinetic models were correlated (r2 = 0.46, P<2e-16) with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated (r2 = 0.65, P< 2e-16) with Logan graphical VT estimation. Conclusion Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to BPND in amyloid-positive and negative older individuals.
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Affiliation(s)
- Emily N Holy
- Department of Neurology, University of California (UC) Davis Health
- Department of Biomedical Engineering, UC Davis
| | | | - Anjan Bhattarai
- Department of Neurology, University of California (UC) Davis Health
- Department of Biomedical Engineering, UC Davis
| | - Evan Fletcher
- Department of Neurology, University of California (UC) Davis Health
| | - Evelyn R Alfaro
- Department of Neurology, University of California (UC) Davis Health
| | | | - Benjamin A Spencer
- Department of Biomedical Engineering, UC Davis
- Department of Radiology, UC Davis Health
| | - Simon R Cherry
- Department of Biomedical Engineering, UC Davis
- Department of Radiology, UC Davis Health
| | | | - Audrey P Fan
- Department of Neurology, University of California (UC) Davis Health
- Department of Biomedical Engineering, UC Davis
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Kim HY, Chia WK, Hsieh CJ, Guarino DS, Graham TJA, Lengyel-Zhand Z, Schneider M, Tomita C, Lougee MG, Kim HJ, Pagar VV, Lee H, Hou C, Garcia BA, Petersson EJ, O’Shea J, Kotzbauer PT, Mathis CA, Lee VMY, Luk KC, Mach RH. A Novel Brain PET Radiotracer for Imaging Alpha Synuclein Fibrils in Multiple System Atrophy. J Med Chem 2023; 66:12185-12202. [PMID: 37651366 PMCID: PMC10617560 DOI: 10.1021/acs.jmedchem.3c00779] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Abnormal α-synuclein (α-syn) aggregation characterizes α-synucleinopathies, including Parkinson's disease (PD) and multiple system atrophy (MSA). However, no suitable positron emission tomography (PET) radiotracer for imaging α-syn in PD and MSA exists currently. Our structure-activity relationship studies identified 4-methoxy-N-(4-(3-(pyridin-2-yl)-3,8-diazabicyclo[3.2.1]octan-8-yl)phenyl)benzamide (4i) as a PET radiotracer candidate for imaging α-syn. In vitro assays revealed high binding of 4i to recombinant α-syn fibrils (inhibition constant (Ki) = 6.1 nM) and low affinity for amyloid beta (Aβ) fibrils in Alzheimer's disease (AD) homogenates. However, [3H]4i also exhibited high specific binding to AD, progressive supranuclear palsy, and corticobasal degeneration tissues as well as PD and MSA tissues, suggesting notable affinity to tau. Nevertheless, the specific binding to pathologic α-syn aggregates in MSA post-mortem brain tissues was significantly higher than in PD tissues. This finding demonstrated the potential use of [11C]4i as a PET tracer for imaging α-syn in MSA patients. Nonhuman primate PET studies confirmed good brain uptake and rapid washout for [11C]4i.
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Affiliation(s)
- Ho Young Kim
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Wai Kit Chia
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Chia-Ju Hsieh
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Dinahlee Saturnino Guarino
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Thomas J. A. Graham
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Zsofia Lengyel-Zhand
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Mark Schneider
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Cosette Tomita
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Marshall G. Lougee
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323, USA
| | - Hee Jong Kim
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6303, USA
| | - Vinayak V. Pagar
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323, USA
| | - Hsiaoju Lee
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Catherine Hou
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
| | - Benjamin A. Garcia
- Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104-6303, USA
| | - E. James Petersson
- Department of Chemistry, University of Pennsylvania, Philadelphia, PA 19104-6323, USA
| | - Jennifer O’Shea
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110-1010, USA
| | - Paul T. Kotzbauer
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO 63110-1010, USA
| | - Chester A. Mathis
- Department of Radiology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Virginia M.-Y. Lee
- Center for Neurodegenerative Disease Research, Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104-2676, USA
| | - Kelvin C. Luk
- Center for Neurodegenerative Disease Research, Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104-2676, USA
| | - Robert H. Mach
- Department of Radiology, University of Pennsylvania, Vagelos Laboratories, 1012, 231 S. 34th Street, Philadelphia, PA 19104-6323, USA
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Hong YJ, Ho S, Jeong JH, Park KH, Kim S, Wang MJ, Choi SH, Yang DW. Impacts of baseline biomarkers on cognitive trajectories in subjective cognitive decline: the CoSCo prospective cohort study. Alzheimers Res Ther 2023; 15:132. [PMID: 37550761 PMCID: PMC10405399 DOI: 10.1186/s13195-023-01273-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 07/12/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is a risk factor for Alzheimer's disease (AD); however, the rates of cognitive decline are variable according to underlying pathologies and biomarker status. We conducted an observational study and aimed to investigate baseline characteristics and biomarkers related with cognitive declines in SCD. Our study also assessed whether SCD participants showed different cognitive and biomarker trajectories according to baseline amyloid deposition. METHODS This study is a part of a longitudinal cohort study conducted in multi-centers in South Korea between 2018 and 2021. Individuals (≥ 60 years old) with persistent cognitive complaint despite of normal cognitive functions were eligible for the study. All participants underwent neuropsychological tests, florbetaben PET scans, plasma amyloid markers, and brain MRI scans. Annual follow-up evaluations included neuropsychological tests and assessments for clinical progressions. Regional brain volumetry and amyloid burden represented by PET-based standardized uptake value ratio (SUVR) were measured. We compared cognitive and brain atrophic changes over 24 months between amyloid positive-SCD (Aβ + SCD) and amyloid negative-SCD (Aβ-SCD) groups. Baseline factors associated with cognitive outcomes were investigated. RESULTS A total of 120 participants with SCD were enrolled and 107 completed follow-up evaluations. Aβ + SCD participants (n = 20, 18.5%) were older and more frequently APOE4 carriers compared with Aβ-SCD participants (n = 87). Baseline cognitive scores were not different between the two groups, except the Seoul Verbal Learning Test (SVLT) scores showing lower scores in the Aβ + SCD group. After 24 months, plasma amyloid markers were higher, and regional volumes (entorhinal, hippocampal, and pallidum) were smaller in the Aβ + SCD participants compared with Aβ-SCD participants adjusted by age, sex, and baseline volumes. SVLT delayed recall and controlled oral word association test (COWAT) scores indicated more declines in Aβ + SCD participants. Baseline left entorhinal volumes were related to verbal memory decline, while baseline frontal volumes and global SUVR values were related to frontal functional decline. CONCLUSION Aβ + SCD participants showed more cognitive decline and medial temporal atrophic changes during 24 months. Baseline neurodegeneration and amyloid burden were related with future cognitive trajectories in SCD. TRIAL REGISTRATION This study was registered at CRIS (KCT0003397).
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Affiliation(s)
- Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - SeongHee Ho
- Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Kee Hyung Park
- Department of Neurology, Gachon University Gil Hospital, Incheon, South Korea
| | - SangYun Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Min Jeong Wang
- Department of Neurology, Roa Neurology Clinic, Seongnam, South Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, South Korea
| | - Dong Won Yang
- Department of Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, South Korea.
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Hong YJ, Lee SB, Kim SH, Lee MA, Park JW, Yang DW. Development of a home-based cognitive test for cognitive monitoring in subjective cognitive decline with high risk of Alzheimer's disease. Medicine (Baltimore) 2023; 102:e33096. [PMID: 36862894 PMCID: PMC9981357 DOI: 10.1097/md.0000000000033096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND AND PURPOSE Subjective cognitive decline (SCD) indicates a self-perceived persistent cognitive worsening despite of normal performance in standard neuropsychological tests. Owing to its heterogeneity and potential risk of Alzheimer's disease, baseline biomarkers to predict cognitive decline are important. In the present study, we developed a home-based cognitive test (HCT) to monitor cognitive changes regularly without visiting hospitals. This study aims to compare cognitive and biomarker trajectories during a 48-month period between amyloid positive SCD and amyloid negative SCD subjects. METHODS Data will be collected from a prospective observational cohort study conducted in South Korea. Eighty participants with SCD aged ≥ 60 years are eligible for the study. All participants undergo annual neuropsychological tests and neurological examinations, bi-annual brain MRI scans and plasma amyloid markers, and baseline florbetaben Positron Emission Tomography scans. The amyloid burden and regional volumes will be measured. Cognitive and biomarker changes will be compared between the amyloid-positive SCD and amyloid negative SCD groups. Validation would be performed to assess reliability and feasibility of HCT. CONCLUSIONS This study would suggest a perspective on SCD in terms of cognitive and biomarker trajectories. Baseline characteristics and biomarker status might affect faster cognitive decline and future biomarker trajectories. In addition, HCT could be an alternative option of in-person neuropsychological tests to track cognitive changes without visiting hospitals.
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Affiliation(s)
- Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
- * Correspondence: Yun Jeong Hong, Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, 271 Cheonbo-ro, Uijeongbu 11765, Gyeonggi-do, Korea (e-mail: )
| | - Si Baek Lee
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Seong Hoon Kim
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Myung Ah Lee
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Jeong Wook Park
- Department of Neurology, Uijeongbu St. Mary’s Hospital, The Catholic University of Korea, Uijeongbu, Korea
| | - Dong Won Yang
- Department of Neurology, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
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Franceschi AM, Petrover DR, Giliberto L, Clouston SAP, Gordon ML. Semiquantitative Approach to Amyloid Positron Emission Tomography Interpretation in Clinical Practice. World J Nucl Med 2023; 22:15-21. [PMID: 36923983 PMCID: PMC10010866 DOI: 10.1055/s-0042-1757290] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Objective Amyloid positron emission tomography (PET) plays a vital role in the in vivo detection of β-amyloid accumulation in Alzheimer's disease. Increasingly, trainees and infrequent readers are relying on semiquantitative analyses to support clinical diagnostic efforts. Our objective was to determine if the visual assessment of amyloid PET may be facilitated by relying on semiquantitative analysis. Methods We conducted a retrospective review of [ 18 F]-florbetaben PET/computed tomographies (CTs) from 2016 to 2018. Visual interpretation to determine Aβ+ status was conducted by two readers blinded to each other's interpretation. Scans were then post-processed utilizing the MIMneuro software, which generated regional-based semiquantitative Z-scores indicating cortical Aβ-burden. Results Of 167 [ 18 F]-florbetaben PET/CTs, 92/167 (reader-1) and 101/167 (reader-2) were positive for amyloid deposition (agreement = 92.2%, κ = 0.84). Additional nine scans were identified as possible Aβ-positive based solely on semiquantitative analyses. Largest semiquantitative differences were identified in the left frontal lobe (Z = 7.74 in Aβ + ; 0.50 in Aβ - ). All unilateral regions showed large statistically significant differences in Aβ-burden ( P ≤ 2.08E-28). Semiquantitative scores were highly sensitive to Aβ+ status and accurate in their ability to identify amyloid positivity, defined as a positive scan by both readers (AUC ≥ 0.90 [0.79-1.00]). Spread analyses suggested that amyloid deposition was most severe in the left posterior cingulate gyrus. The largest differences between Aβ +/Aβ- were in the left frontal lobe. Analyses using region-specific cutoffs indicated that the presence of amyloid in the temporal and anterior cingulate cortex, while exhibiting relatively low Z-scores, was most common. Conclusion Visual assessment and semiquantitative analysis provide highly congruent results, thereby enhancing reader confidence and improving scan interpretation. This is particularly relevant, given recent advances in amyloid-targeting disease-modifying therapeutics.
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Affiliation(s)
- Ana M Franceschi
- Neuroradiology Section, Department of Radiology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, New York, United States
| | - David R Petrover
- Neuroradiology Section, Department of Radiology, Lenox Hill Hospital, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, New York, United States
| | - Luca Giliberto
- Institute for Neurology and Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, United States.,Litwin-Zucker Research Center, Feinstein Institutes for Medical Research, Northwell Health, New York, United States
| | - Sean A P Clouston
- Department of Family, Population and Preventative Medicine and Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, United States
| | - Marc L Gordon
- Litwin-Zucker Research Center, Feinstein Institutes for Medical Research, Northwell Health, New York, United States.,Departments of Neurology and Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, United States
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Smith AM, Obuchowski NA, Foster NL, Klein G, Mozley PD, Lammertsma AA, Wahl RL, Sunderland JJ, Vanderheyden JL, Benzinger TLS, Kinahan PE, Wong DF, Perlman ES, Minoshima S, Matthews D. The RSNA QIBA Profile for Amyloid PET as an Imaging Biomarker for Cerebral Amyloid Quantification. J Nucl Med 2023; 64:294-303. [PMID: 36137760 PMCID: PMC9902844 DOI: 10.2967/jnumed.122.264031] [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: 02/16/2022] [Revised: 08/05/2022] [Accepted: 08/05/2022] [Indexed: 02/04/2023] Open
Abstract
A standardized approach to acquiring amyloid PET images increases their value as disease and drug response biomarkers. Most 18F PET amyloid brain scans often are assessed only visually (per regulatory labels), with a binary decision indicating the presence or absence of Alzheimer disease amyloid pathology. Minimizing technical variance allows precise, quantitative SUV ratios (SUVRs) for early detection of β-amyloid plaques and allows the effectiveness of antiamyloid treatments to be assessed with serial studies. Methods: The Quantitative Imaging Biomarkers Alliance amyloid PET biomarker committee developed and validated a profile to characterize and reduce the variability of SUVRs, increasing statistical power for these assessments. Results: On achieving conformance, sites can justify a claim that brain amyloid burden reflected by the SUVR is measurable to a within-subject coefficient of variation of no more than 1.94% when the same radiopharmaceutical, scanner, acquisition, and analysis protocols are used. Conclusion: This overview explains the claim, requirements, barriers, and potential future developments of the profile to achieve precision in clinical and research amyloid PET imaging.
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Affiliation(s)
- Anne M Smith
- Siemens Medical Solutions USA, Inc., Knoxville, Tennessee;
| | | | - Norman L Foster
- Department of Neurology, University of Utah, Salt Lake City, Utah
| | | | - P David Mozley
- Weill Medical College of Cornell University, New York, New York
| | - Adriaan A Lammertsma
- Amsterdam Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location VUmc, Amsterdam, The Netherlands
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Richard L Wahl
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
- Department of Radiation Oncology, Washington University in Saint Louis, St. Louis, Missouri
| | - John J Sunderland
- Division of Nuclear Medicine, Department of Radiology, University of Iowa, Iowa City, Iowa
| | | | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
- Department of Radiation Oncology, Washington University in Saint Louis, St. Louis, Missouri
| | - Paul E Kinahan
- Department of Radiology, School of Medicine, University of Washington, Seattle, Washington
| | - Dean F Wong
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | | | - Satoshi Minoshima
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah; and
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Santarelli MF, Genovesi D, Scipioni M, Positano V, Favilli B, Giorgetti A, Vergaro G, Landini L, Emdin M, Marzullo P. Cardiac amyloidosis characterization by kinetic model fitting on [18F]florbetaben PET images. J Nucl Cardiol 2022; 29:1919-1932. [PMID: 33864226 DOI: 10.1007/s12350-021-02608-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 03/11/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To evaluate the feasibility of kinetic modeling-based approaches from [18F]-Flobetaben dynamic PET images as a non-invasive diagnostic method for cardiac amyloidosis (CA) and to identify the two AL- and ATTR-subtypes. METHODS AND RESULTS Twenty-one patients with diagnoses of CA (11 patients with AL-subtype and 10 patients with ATTR-subtype of CA) and 15 Control patients with no-CA conditions underwent PET/CT imaging after [18F]Florbetaben bolus injection. A two-tissue-compartment (2TC) kinetic model was fitted to time-activity curves (TAC) obtained from left ventricle wall and left atrium cavity ROIs to estimate kinetic micro- and macro-parameters. Combinations of kinetic parameters were evaluated with the purpose of distinguishing Control subjects and CA patients, and to correctly label the last ones as AL- or ATTR-subtype. Resulting sensitivity, specificity, and accuracy for Control subjects were: 0.87, 0.9, 0.89; as far as CA patients, the sensitivity, specificity, and accuracy were respectively 0.9, 1, and 0.97 for AL-CA patients and 0.9, 0.92, 0.97 for ATTR-CA patients. CONCLUSION Pharmacokinetic analysis based on a 2TC model allows cardiac amyloidosis characterization from dynamic [18F]Florbetaben PET images. Estimated model parameters allows to not only distinguish between Control subjects and patients, but also between AL- and ATTR-amyloid patients.
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Affiliation(s)
- M F Santarelli
- CNR Institute of Clinical Physiology, CNR Research Area - Via Moruzzi, 1, 56124, Pisa, Italy.
- Fondazione Toscana "G. Monasterio", Pisa, Italy.
| | - D Genovesi
- Fondazione Toscana "G. Monasterio", Pisa, Italy
| | - M Scipioni
- CNR Institute of Clinical Physiology, CNR Research Area - Via Moruzzi, 1, 56124, Pisa, Italy
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - V Positano
- Fondazione Toscana "G. Monasterio", Pisa, Italy
| | - B Favilli
- Fondazione Toscana "G. Monasterio", Pisa, Italy
| | - A Giorgetti
- Fondazione Toscana "G. Monasterio", Pisa, Italy
| | - G Vergaro
- Scuola Universitaria Superiore 'S. Anna", Pisa, Italy
| | - L Landini
- Fondazione Toscana "G. Monasterio", Pisa, Italy
- Dipartimento di Ingegneria dell'Informazione: DII, Pisa University, Pisa, Italy
| | - M Emdin
- Fondazione Toscana "G. Monasterio", Pisa, Italy
- Scuola Universitaria Superiore 'S. Anna", Pisa, Italy
| | - P Marzullo
- Fondazione Toscana "G. Monasterio", Pisa, Italy
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11
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Heeman F, Yaqub M, Hendriks J, van Berckel BNM, Collij LE, Gray KR, Manber R, Wolz R, Garibotto V, Wimberley C, Ritchie C, Barkhof F, Gispert JD, Vállez García D, Lopes Alves I, Lammertsma AA. Impact of cerebral blood flow and amyloid load on SUVR bias. EJNMMI Res 2022; 12:29. [PMID: 35553267 PMCID: PMC9098761 DOI: 10.1186/s13550-022-00898-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/25/2022] [Indexed: 11/17/2022] Open
Abstract
Background Despite its widespread use, the semi-quantitative standardized uptake value ratio (SUVR) may be biased compared with the distribution volume ratio (DVR). This bias may be partially explained by changes in cerebral blood flow (CBF) and is likely to be also dependent on the extent of the underlying amyloid-β (Aβ) burden. This study aimed to compare SUVR with DVR and to evaluate the effects of underlying Aβ burden and CBF on bias in SUVR in mainly cognitively unimpaired participants. Participants were scanned according to a dual-time window protocol, with either [18F]flutemetamol (N = 90) or [18F]florbetaben (N = 31). The validated basisfunction-based implementation of the two-step simplified reference tissue model was used to derive DVR and R1 parametric images, and SUVR was calculated from 90 to 110 min post-injection, all with the cerebellar grey matter as reference tissue. First, linear regression and Bland–Altman analyses were used to compare (regional) SUVR with DVR. Then, generalized linear models were applied to evaluate whether (bias in) SUVR relative to DVR could be explained by R1 for the global cortical average (GCA), precuneus, posterior cingulate, and orbitofrontal region. Results Despite high correlations (GCA: R2 ≥ 0.85), large overestimation and proportional bias of SUVR relative to DVR was observed. Negative associations were observed between both SUVR or SUVRbias and R1, albeit non-significant. Conclusion The present findings demonstrate that bias in SUVR relative to DVR is strongly related to underlying Aβ burden. Furthermore, in a cohort consisting mainly of cognitively unimpaired individuals, the effect of relative CBF on bias in SUVR appears limited. EudraCT Number: 2018-002277-22, registered on: 25-06-2018. Supplementary Information The online version contains supplementary material available at 10.1186/s13550-022-00898-8.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Janine Hendriks
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Lyduine E Collij
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | | | | | | | - Valentina Garibotto
- NIMTLab, Faculty of Medicine, Geneva University, Geneva, Switzerland.,Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
| | - Catriona Wimberley
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Craig Ritchie
- Edinburgh Imaging, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Frederik Barkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,UCL, Institutes of Neurology and Healthcare Engineering, London, UK
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.,Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - David Vállez García
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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12
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García Vicente A, Tello Galán M, Pena Pardo F, Amo-Salas M, Mondejar Marín B, Navarro Muñoz S, Rueda Medina I, Poblete García V, Marsal Alonso C, Soriano Castrejón Á. Aumento de la confianza en la interpretación del PET con 18F-Florbetaben: “machine learning” basado en la aproximación cuantitativa. Rev Esp Med Nucl Imagen Mol 2022. [DOI: 10.1016/j.remn.2021.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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13
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Correlación entre el metabolismo de la glucosa cerebral (18F-FDG) y el flujo sanguíneo cerebral con marcadores de amiloide (18F-florbetapir) en práctica clínica: evidencias preliminares. Rev Esp Med Nucl Imagen Mol 2022. [DOI: 10.1016/j.remn.2021.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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14
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Hong YJ, Park JW, Lee SB, Kim SH, Kim Y, Ryu DW, Park KW, Yang DW. The Influence of Amyloid Burden on Cognitive Decline over 2 years in Older Adults with Subjective Cognitive Decline: A Prospective Cohort Study. Dement Geriatr Cogn Disord 2022; 50:437-445. [PMID: 34736258 DOI: 10.1159/000519766] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/18/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Subjective cognitive decline (SCD) is a self-perceived cognitive worsening without objective cognitive impairment. Due to its heterogeneity and potential risk of Alzheimer's disease (AD), baseline biomarkers to predict progression are clinically important. In the present study, cognitive trajectories during a 24-month period were compared between amyloid-positive SCD (A+SCD) and amyloid-negative SCD (A-SCD) subjects, and biomarkers associated with memory decline were investigated. METHODS Data from a prospective cohort study in Korea between 2016 and 2019 were analyzed. SCD subjects ≥50 years of age were eligible. All participants underwent neuropsychological tests, brain magnetic resonance imaging, and florbetaben positron emission tomography scans. Amyloid burden and regional volumes were measured. Cognitive changes corrected for age were compared between A+SCD and A-SCD groups. Biomarkers associated with memory decline were assessed. RESULTS Forty-seven SCD subjects (69.9 ± 6.7 years, mini-mental state examination (MMSE) score 27.5) were enrolled, and 31 completed at least 1 annual follow-up (mean follow-up: 24.7 months). Baseline characteristics except age, hippocampal atrophy, and white matter hyperintensities were similar between A+SCDs (n = 12, 25.6%) and A-SCDs (n = 35). A+SCD subjects showed greater decline in the verbal memory function compared with the A-SCD subjects after adjustment for age. MMSE scores decreased more in the A+SCD (1.1 in the A+SCD; 0.55 in the A-SCD), although it was not statistically significant. Amyloid burden and baseline memory score were associated with memory decline. CONCLUSIONS Within SCD, A+SCD subjects showed faster memory decline compared with the A-SCD subjects and amyloid burden might be associated with future memory decline in SCD.
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Affiliation(s)
- Yun Jeong Hong
- Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jeong Wook Park
- Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Si Baek Lee
- Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seong-Hoon Kim
- Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yongbang Kim
- Neurology, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dong-Woo Ryu
- Neurology, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kyung Won Park
- Neurology, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Dong Won Yang
- Neurology, Seoul St. Mary's Hospital, The Catholic University of Korea, Seoul, Republic of Korea
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15
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Zeng Q, Cui M. Current Progress in the Development of Probes for Targeting α-Synuclein Aggregates. ACS Chem Neurosci 2022; 13:552-571. [PMID: 35167269 DOI: 10.1021/acschemneuro.1c00877] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
α-Synuclein aggregates abnormally into intracellular inclusions in Parkinson's disease (PD), dementia with Lewy bodies (DLB), multiple system atrophy (MSA), and many other neurological disorders, closely connecting with their pathogenesis. The accurate tracking of α-synuclein by targeting probes is of great significance for early diagnosis, disease monitoring, and drug development. However, there have been no promising α-synuclein targeting probes for clinical application reported so far. This overview focuses on various potential α-synuclein targeting probes reported in the past two decades, including small-molecule fluorescent probes and radiolabeled probes. We provide the current status of the development of the small molecular α-synuclein imaging probes, including properties of promising imaging molecules, strategies of processing new probes, limited progress, and growth prospects in this field, expecting to help in the further development of α-synuclein targeting probes.
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Affiliation(s)
- Qi Zeng
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, Beijing Normal University, Beijing 100875, China
| | - Mengchao Cui
- Key Laboratory of Radiopharmaceuticals, Ministry of Education, Beijing Normal University, Beijing 100875, China
- Center for Advanced Materials Research, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai 519087, China
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16
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Electroencephalography for Early Detection of Alzheimer’s Disease in Subjective Cognitive Decline. Dement Neurocogn Disord 2022; 21:126-137. [DOI: 10.12779/dnd.2022.21.4.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 09/09/2022] [Accepted: 09/13/2022] [Indexed: 11/09/2022] Open
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17
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A missense variant in SHARPIN mediates Alzheimer's disease-specific brain damages. Transl Psychiatry 2021; 11:590. [PMID: 34785643 PMCID: PMC8595886 DOI: 10.1038/s41398-021-01680-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 08/04/2021] [Accepted: 08/27/2021] [Indexed: 01/23/2023] Open
Abstract
Established genetic risk factors for Alzheimer's disease (AD) account for only a portion of AD heritability. The aim of this study was to identify novel associations between genetic variants and AD-specific brain atrophy. We conducted genome-wide association studies for brain magnetic resonance imaging measures of hippocampal volume and entorhinal cortical thickness in 2643 Koreans meeting the clinical criteria for AD (n = 209), mild cognitive impairment (n = 1449) or normal cognition (n = 985). A missense variant, rs77359862 (R274W), in the SHANK-associated RH Domain Interactor (SHARPIN) gene was associated with entorhinal cortical thickness (p = 5.0 × 10-9) and hippocampal volume (p = 5.1 × 10-12). It revealed an increased risk of developing AD in the mediation analyses. This variant was also associated with amyloid-β accumulation (p = 0.03) and measures of memory (p = 1.0 × 10-4) and executive function (p = 0.04). We also found significant association of other SHARPIN variants with hippocampal volume in the Alzheimer's Disease Neuroimaging Initiative (rs3417062, p = 4.1 × 10-6) and AddNeuroMed (rs138412600, p = 5.9 × 10-5) cohorts. Further, molecular dynamics simulations and co-immunoprecipitation indicated that the variant significantly reduced the binding of linear ubiquitination assembly complex proteins, SHPARIN and HOIL-1 Interacting Protein (HOIP), altering the downstream NF-κB signaling pathway. These findings suggest that SHARPIN plays an important role in the pathogenesis of AD.
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18
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Clinical Implications of Amyloid-Beta Accumulation in Occipital Lobes in Alzheimer's Continuum. Brain Sci 2021; 11:brainsci11091232. [PMID: 34573252 PMCID: PMC8470691 DOI: 10.3390/brainsci11091232] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 05/18/2021] [Accepted: 08/16/2021] [Indexed: 11/16/2022] Open
Abstract
A substantial amount of amyloid-beta (Aβ) accumulates in the occipital cortices; however, it draws less attention. We investigated the clinical implications of Aβ accumulation in the occipital lobes in the Alzheimer’s disease (AD) continuum. [18F]-Florbetaben amyloid PET scans were performed in a total of 121 AD or amnestic mild cognitive impairment (aMCI) patients. Of the 121 patients, 74 Aβ positive patients were divided into occipital Aβ positive (OCC+) and occipital Aβ negative (OCC−) groups based on Aβ accumulation in the bilateral occipital lobes. The OCC+ group (41/74, 55.4%) was younger and had a younger age at onset than the OCC− group. The OCC+ group also had an increased standard uptake value ratio in the occipital lobes and greater cortical thinning in relevant areas. The OCC+ group had a higher global deterioration scale, lower performance for the copy, immediate recall, delayed recall, and recognition in Rey–Osterrieth Complex Figure tests than the OCC- group, although both groups had similar disease durations. AD or aMCI patients in the OCC+ group exhibited features noted in early onset AD with relevant neuropsychological and image findings. Occipital Aβ positivity in amyloid PET scans need to be considered as an underestimated marker of early onset AD continuum.
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19
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Relationship between F-18 florbetapir uptake in occipital lobe and neurocognitive performance in Alzheimer's disease. Jpn J Radiol 2021; 39:984-993. [PMID: 34019227 DOI: 10.1007/s11604-021-01132-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/05/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE To determine the association between occipital amyloid-PET uptake and neurocognitive performance in Alzheimer's disease (AD). MATERIALS AND METHODS Fifty-eight participants with normal aged, mild cognitive impairment (MCI) due to AD and AD subjects who underwent F-18 florbetapir brain PET/CT scans were divided into four groups (A, normal; B, MCI; C, mild AD; and D, moderate/severe AD). Semiquantitative analyses of SUVR images were performed. The differences between groups and the correlations between florbetapir uptake and Thai Mental State Examination (TMSE) scores were determined. Significant differences were defined using a P < 0.001, uncorrected, or a P < 0.05, FWE for the voxel-based analyses with Statistical Parametric Mapping (SPM). RESULTS There was a slightly higher florbetapir uptake in the precuneus, parietal, and occipital association cortices in Group B > A. The occipital florbetapir uptake in Groups C and D was significantly higher than in Group A, in addition to the precuneus, anterior cingulate, posterior cingulate, temporoparietal, and frontal cortices. There was a strong negative correlation between TMSE scores and florbetapir uptake in the occipital lobe. CONCLUSIONS Occipital amyloid uptake is associated with clinically advanced AD, and is inversely correlated with neurocognitive performance and may be useful for evaluating AD severity.
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20
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Lim HJ, Park JE, Kim BC, Choi SM, Song MK, Cho SH, Seo HJ, Kim J, Song HC, Choi KY, Lee JJ, Kim HW, Ha JM, Song WK, Park SG, Lee JS, Lee KH. Comparison of Two Analytical Platforms in Cerebrospinal Fluid Biomarkers for the Classification of Alzheimer's Disease Spectrum with Amyloid PET Imaging. J Alzheimers Dis 2021; 75:949-958. [PMID: 32390627 DOI: 10.3233/jad-191331] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Cerebrospinal fluid (CSF) amyloid-β1-42 (Aβ1-42), total tau protein (t-Tau), and phosphorylated Tau (p-Tau) are ATN biomarkers for Alzheimer's disease (AD) and reflect pathogenic changes in the brain. CSF biomarkers of AD are considered for inclusion in the diagnostic criteria for research and clinical purposes to reduce the uncertainty of clinical diagnosis and to distinguish among AD stages. OBJECTIVE This study aims to compare two commercially available analytical platforms with respect to accuracy and the potential for early diagnosis of AD. METHODS A total of 211 CSF samples from healthy control (HC) and AD subjects were analyzed using two analytical platforms, INNOTEST ELISA and INNOBIA AlzBio3 xMAP kits. The accuracy of diagnosis and AUC values distinguishing study groups were compared between the two analytical platforms. RESULTS The absolute values for Aβ1-42, t-Tau, and p-Tau181 levels differed between the two platforms. The Aβ1-42 levels decreased, while t-Tau and p-Tau levels increased according to the AD stages. The AUC of Aβ1-42 and t-Tau, which distinguish the early stages of AD (preclinical and prodromal AD), were similar between the two platforms, whereas there were significant differences in p-Tau AUC values. CSF p-Tau using the INNOBIA was highly accurate for distinguishing both preclinical AD (AUC = 0.826, cut-off score≥38.89) and prodromal AD (AUC = 0.862, cut-off score≥41.88) from HC. CONCLUSION The accuracy of CSF p-Tau levels in the preclinical and prodromal AD is higher for the INNOBIA than the INNOTEST, and the early stage AD can be accurately distinguished from HC.
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Affiliation(s)
- Ho Jae Lim
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea
| | - Jung Eun Park
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,BK21-plus Research Team for Bioactive Control Technology, Chosun University, Gwangju, Republic of Korea
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Min-Kyung Song
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Hyeon Jeong Seo
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Jahae Kim
- Department of Nuclear Medicine, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Ho-Chun Song
- Department of Nuclear Medicine, Chonnam National University Medical School and Hospital, Gwangju, Republic of Korea
| | - Kyu Yeong Choi
- Gwangju Alzheimer's Disease and Related Dementias Cohort Center, Chosun University, Gwangju, Republic of Korea
| | - Jang Jae Lee
- Gwangju Alzheimer's Disease and Related Dementias Cohort Center, Chosun University, Gwangju, Republic of Korea
| | - Hoo-Won Kim
- Department of Neurology, Chosun University School of Medicine, Gwangju, Republic of Korea
| | - Jung-Min Ha
- Department of Nuclear Medicine, Chosun University School of Medicine, Gwangju, Republic of Korea
| | - Woo Keun Song
- Department of Life Science, Bioimaging and Cell Dynamics Research Center, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Sung-Gyoo Park
- Department of Life Science, Bioimaging and Cell Dynamics Research Center, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jung Sup Lee
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,BK21-plus Research Team for Bioactive Control Technology, Chosun University, Gwangju, Republic of Korea
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,Gwangju Alzheimer's Disease and Related Dementias Cohort Center, Chosun University, Gwangju, Republic of Korea.,Department of Neural Development and Disease, Korea Brain Research Institute, Daegu, Republic of Korea
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21
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Albano D, Premi E, Peli A, Camoni L, Bertagna F, Turrone R, Borroni B, Calhoun VD, Rodella C, Magoni M, Padovani A, Giubbini R, Paghera B. Correlation between brain glucose metabolism (18F-FDG) and cerebral blood flow with amyloid tracers (18F-Florbetapir) in clinical routine: Preliminary evidences. Rev Esp Med Nucl Imagen Mol 2021; 41:146-152. [DOI: 10.1016/j.remnie.2021.03.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 02/07/2021] [Indexed: 10/21/2022]
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22
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Kinetic isotope effects and synthetic strategies for deuterated carbon-11 and fluorine-18 labelled PET radiopharmaceuticals. Nucl Med Biol 2021; 96-97:112-147. [PMID: 33892374 DOI: 10.1016/j.nucmedbio.2021.03.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/19/2021] [Accepted: 03/30/2021] [Indexed: 11/22/2022]
Abstract
The deuterium labelling of pharmaceuticals is a useful strategy for altering pharmacokinetic properties, particularly for improving metabolic resistance. The pharmacological effects of such metabolites are often assumed to be negligible during standard drug discovery and are factored in later at the clinical phases of development, where the risks and benefits of the treatment and side-effects can be wholly assessed. This paradigm does not translate to the discovery of radiopharmaceuticals, however, as the confounding effects of radiometabolites can inevitably show in preliminary positron emission tomography (PET) scans and thus complicate interpretation. Consequently, the formation of radiometabolites is crucial to take into consideration, compared to non-radioactive metabolites, and the application of deuterium labelling is a particularly attractive approach to minimise radiometabolite formation. Herein, we provide a comprehensive overview of the deuterated carbon-11 and fluorine-18 radiopharmaceuticals employed in PET imaging experiments. Specifically, we explore six categories of deuterated radiopharmaceuticals used to investigate the activities of monoamine oxygenase (MAO), choline, translocator protein (TSPO), vesicular monoamine transporter 2 (VMAT2), neurotransmission and the diagnosis of Alzheimer's disease; from which we derive four prominent deuteration strategies giving rise to a kinetic isotope effect (KIE) for reducing the rate of metabolism. Synthetic approaches for over thirty of these deuterated radiopharmaceuticals are discussed from the perspective of deuterium and radioisotope incorporation, alongside an evaluation of the deuterium labelling and radiolabelling efficacies across these independent studies. Clinical and manufacturing implications are also discussed to provide a more comprehensive overview of how deuterated radiopharmaceuticals may be introduced to routine practice.
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23
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García Vicente AM, Tello Galán MJ, Pena Pardo FJ, Amo-Salas M, Mondejar Marín B, Navarro Muñoz S, Rueda Medina I, Poblete García VM, Marsal Alonso C, Soriano Castrejón Á. Increasing the confidence of 18F-Florbetaben PET interpretations: Machine learning quantitative approximation. Rev Esp Med Nucl Imagen Mol 2021; 41:153-163. [DOI: 10.1016/j.remnie.2021.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 01/27/2021] [Indexed: 11/28/2022]
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Heeman F, Yaqub M, Hendriks J, Bader I, Barkhof F, Gispert JD, van Berckel BNM, Lopes Alves I, Lammertsma AA. Parametric imaging of dual-time window [ 18F]flutemetamol and [ 18F]florbetaben studies. Neuroimage 2021; 234:117953. [PMID: 33762215 DOI: 10.1016/j.neuroimage.2021.117953] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/12/2021] [Accepted: 03/05/2021] [Indexed: 11/15/2022] Open
Abstract
Optimal pharmacokinetic models for quantifying amyloid beta (Aβ) burden using both [18F]flutemetamol and [18F]florbetaben scans have previously been identified at a region of interest (ROI) level. The purpose of this study was to determine optimal quantitative methods for parametric analyses of [18F]flutemetamol and [18F]florbetaben scans. Forty-six participants were scanned on a PET/MR scanner using a dual-time window protocol and either [18F]flutemetamol (N=24) or [18F]florbetaben (N=22). The following parametric approaches were used to derive DVR estimates: reference Logan (RLogan), receptor parametric mapping (RPM), two-step simplified reference tissue model (SRTM2) and multilinear reference tissue models (MRTM0, MRTM1, MRTM2), all with cerebellar grey matter as reference tissue. In addition, a standardized uptake value ratio (SUVR) was calculated for the 90-110 min post injection interval. All parametric images were assessed visually. Regional outcome measures were compared with those from a validated ROI method, i.e. DVR derived using RLogan. Visually, RPM, and SRTM2 performed best across tracers and, in addition to SUVR, provided highest AUC values for differentiating between Aβ-positive vs Aβ-negative scans ([18F]flutemetamol: range AUC=0.96-0.97 [18F]florbetaben: range AUC=0.83-0.85). Outcome parameters of most methods were highly correlated with the reference method (R2≥0.87), while lowest correlation were observed for MRTM2 (R2=0.71-0.80). Furthermore, bias was low (≤5%) and independent of underlying amyloid burden for MRTM0 and MRTM1. The optimal parametric method differed per evaluated aspect; however, the best compromise across aspects was found for MRTM0 followed by SRTM2, for both tracers. SRTM2 is the preferred method for parametric imaging because, in addition to its good performance, it has the advantage of providing a measure of relative perfusion (R1), which is useful for measuring disease progression.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Janine Hendriks
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Ilona Bader
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands; UCL, Institutes of Neurology and Healthcare Engineering, London, United Kingdom
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Bart N M van Berckel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
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Tamil Selvan S, Ravichandar R, Kanta Ghosh K, Mohan A, Mahalakshmi P, Gulyás B, Padmanabhan P. Coordination chemistry of ligands: Insights into the design of amyloid beta/tau-PET imaging probes and nanoparticles-based therapies for Alzheimer’s disease. Coord Chem Rev 2021. [DOI: 10.1016/j.ccr.2020.213659] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Heeman F, Yaqub M, Lopes Alves I, Heurling K, Bullich S, Gispert JD, Boellaard R, Lammertsma AA. Simulating the effect of cerebral blood flow changes on regional quantification of [ 18F]flutemetamol and [ 18F]florbetaben studies. J Cereb Blood Flow Metab 2021; 41:579-589. [PMID: 32281514 PMCID: PMC7907983 DOI: 10.1177/0271678x20918029] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Global and regional changes in cerebral blood flow (CBF) can result in biased quantitative estimates of amyloid load by PET imaging. Therefore, the current simulation study assessed effects of these changes on amyloid quantification using a reference tissue approach for [18F]flutemetamol and [18F]florbetaben. Previously validated pharmacokinetic rate constants were used to simulate time-activity curves (TACs) corresponding to full dynamic and dual-time-window acquisition protocols. CBF changes were simulated by varying the tracer delivery (K1) from +25 to -25%. The standardized uptake value ratio (SUVr) was computed and TACs were fitted using reference Logan (RLogan) and the simplified reference tissue model (SRTM) to obtain the relative delivery rate (R1) and volume of distribution ratio (DVR). RLogan was least affected by CBF changes (χ2 = 583 p < 0.001, χ2 = 81 p < 0.001, for [18F]flutemetamol and [18F]florbetaben, respectively) and the extent of CBF sensitivity generally increased for higher levels of amyloid. Further, SRTM-derived R1 changes correlated well with simulated CBF changes (R2 > 0.95) and SUVr's sensitivity to CBF changes improved for later uptake-times, with the exception of [18F]flutemetamol cortical changes. In conclusion, RLogan is the preferred method for amyloid quantification of [18F]flutemetamol and [18F]florbetaben studies and SRTM could be additionally used for obtaining a CBF proxy.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam, Netherlands
| | | | | | - Juan D Gispert
- Barcelonaβeta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.,Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Ronald Boellaard
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam, Netherlands
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Wang M, Yan Z, Zhang H, Lu J, Li L, Yu J, Wang J, Matsuda H, Zuo C, Jiang J. Parametric estimation of reference signal intensity in the quantification of amyloid-beta deposition: an 18F-AV-45 study. Quant Imaging Med Surg 2021; 11:249-263. [PMID: 33392026 PMCID: PMC7719939 DOI: 10.21037/qims-20-110] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 09/07/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Positron emission tomography (PET) with the radiotracer florbetapir (18F-AV-45) allows the pathophysiology of Alzheimer's disease (AD) to be tracked in vivo. The semi-quantification of amyloid-beta (Aβ) has been extensively evaluated with the standardized uptake value ratio (SUVR) but is susceptible to disturbance from the candidate reference region and the partial volume effect (PVE). In the present study, we applied the parametric estimation of reference signal intensity (PERSI) method to 18F-AV-45 PET images for intensity normalization. METHODS We enrolled 479 people with 18F-AV-45 images from the Alzheimer's Disease Neuroimaging Initiative database: 261 healthy controls (HCs), 102 patients with mild cognitive impairment (MCI), and 116 AD patients. We used white matter post-processed by PERSI (PERSI-WM) as the reference region and compared our proposed method with the traditional method for semi-quantification. SUVRs were calculated for eight regions of interest: the frontal lobe, the parietal lobe, the temporal lobe, the occipital lobe, the anterior cingulate cortex, the posterior cingulate cortex, the precuneus, and the global cortex. The SUVRs derived from PERSI-WM and other reference regions were evaluated by effect size and receiver-operator characteristic curve analyses. RESULTS The SUVRs derived from PERSI-WM showed significantly higher trace retention in the frontal, parietal, temporal, and occipital lobes, as well as in the anterior cingulate, posterior cingulate, precuneus, and global cortex in the AD Aβ-positive (+) group (mean: +43.3%±5.4%, P<0.01) and MCI Aβ+ group (mean: +29.6%±5.3%, P<0.01). For the global cortex, PERSI-WM had the greatest Cohen's d effect size compared with the HC Aβ-negative (-) group (AD Aβ+ and MCI Aβ+: 3.02, AD Aβ+: 3.56, MCI Aβ+: 2.34), and the highest area under the curve (AUC) between the HC Aβ- and AD Aβ+ groups (AUC: 0.983, 95% confidence interval: 0.978-0.998). CONCLUSIONS PERSI-WM could mitigate the influence of PVE and improve the semi-quantification of 18F-AV-45 images; therefore, it could be used for large-scale clinical application in the nuclear medicine domain.
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Affiliation(s)
- Min Wang
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Zhuangzhi Yan
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Huiwei Zhang
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiaying Lu
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ling Li
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jintai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian Wang
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Chuantao Zuo
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiehui Jiang
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - the Alzheimer’s Disease Neuroimaging Initiative
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
- PET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
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Changes of central noradrenaline transporter availability in immunotherapy-naïve multiple sclerosis patients. Sci Rep 2020; 10:14651. [PMID: 32887904 PMCID: PMC7474089 DOI: 10.1038/s41598-020-70732-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 07/17/2020] [Indexed: 02/07/2023] Open
Abstract
The neurotransmitter noradrenaline (NA) mediates arousal, attention and mood, and exerts anti-inflammatory and neuroprotective effects. Alterations of monoamine signalling were reported in multiple sclerosis (MS) and psychiatric illness and may account for the high prevalence of comorbid depression and fatigue in MS patients. We assessed central noradrenaline transporter (NAT) availability using positron emission tomography (PET) and the NAT selective radiotracer S,S-[11C]O-methylreboxetine in immunotherapy-naïve patients with relapsing–remitting MS (RRMS; n = 11) compared to healthy controls (HC; n = 12), and its association to lesion load, time since manifestation, the expanded disability status scale (EDSS), the fatigue scale Würzburger Erschöpfungsinventar bei MS (WEIMuS) and Beck Depression Inventory (BDI). We found NAT availability to be increased in the thalamus, amygdala, putamen and pons/midbrain of MS patients. No relation to clinical or psychometric variables was found. These first data indicate higher NAT availability in subcortical brain regions of immunotherapy-naïve RRMS patients. If these changes of noradrenergic neurotransmission predispose to psychiatric symptoms or associate with disease activity needs to be investigated in longitudinal studies or a larger sample which allows subgroup analyses.
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Giovacchini G, Giovannini E, Borsò E, Lazzeri P, Duce V, Ferrando O, Foppiano F, Ciarmiello A. Impact of Tracer Retention Levels on Visual Analysis of Cerebral [ 18F]- Florbetaben Pet Images. Curr Radiopharm 2020; 14:70-77. [PMID: 32727344 DOI: 10.2174/1874471013666200729155717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Revised: 06/15/2020] [Accepted: 06/19/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND To compare visual and semi-quantitative analysis of brain [18F]Florbetaben PET images in Mild Cognitive Impairment (MCI) patients and relate this finding to the degree of ß-amyloid burden. METHODS A sample of 71 amnestic MCI patients (age 74 ± 7.3 years, Mini Mental State Examination 24.2 ± 5.3) underwent cerebral [18F]Florbetaben PET/CT. Images were visually scored as positive or negative independently by three certified readers blinded to clinical and neuropsychological assessment. Amyloid positivity was also assessed by semiquantitative approach by means of a previously published threshold (SUVr ≥ 1.3). Fleiss kappa coefficient was used to compare visual analysis (after consensus among readers) and semi-quantitative analysis. Statistical significance was taken at P<0.05. RESULTS After the consensus reading, 43/71 (60.6%) patients were considered positive. Cases that were interpreted as visually positive had higher SUVr than visually negative patients (1.48 ± 0.19 vs 1.11 ± 0.09) (P<0.05). Agreement between visual analysis and semi-quantitative analysis was excellent (k=0.86, P<0.05). Disagreement occurred in 7/71 patients (9.9%) (6 false positives and 1 false negative). Agreement between the two analyses was 90.0% (18/20) for SUVr < 1.1, 83% (24/29) for SUVr between 1.1 and 1.5, and 100% (22/22) for SUVr > 1.5 indicating lowest agreement for the group with intermediate amyloid burden. CONCLUSION Inter-rater agreement of visual analysis of amyloid PET images is high. Agreement between visual analysis and SUVr semi-quantitative analysis decreases in the range of 1.1<SUVr <=1.5, where the clinical scenario is more challenging.
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Affiliation(s)
- Giampiero Giovacchini
- Nuclear Medicine Unit S. Andrea Hospital Via Vittorio Veneto, 197 19124 La Spezia, Italy
| | - Elisabetta Giovannini
- Nuclear Medicine Unit S. Andrea Hospital Via Vittorio Veneto, 197 19124 La Spezia, Italy
| | - Elisa Borsò
- Nuclear Medicine Unit S. Andrea Hospital Via Vittorio Veneto, 197 19124 La Spezia, Italy
| | - Patrizia Lazzeri
- Nuclear Medicine Unit S. Andrea Hospital Via Vittorio Veneto, 197 19124 La Spezia, Italy
| | - Valerio Duce
- Nuclear Medicine Unit S. Andrea Hospital Via Vittorio Veneto, 197 19124 La Spezia, Italy
| | | | | | - Andrea Ciarmiello
- Nuclear Medicine Unit S. Andrea Hospital Via Vittorio Veneto, 197 19124 La Spezia, Italy
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30
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Chang Y, Li C, Yang H, Wu Y, Xu B, Zhang J, Wang R. 18F-Florbetaben Amyloid PET Imaging: A Chinese Study in Cognitive Normal Controls, Mild Cognitive Impairment, and Alzheimer's Disease Patients. Front Neurosci 2020; 14:745. [PMID: 32848542 PMCID: PMC7405850 DOI: 10.3389/fnins.2020.00745] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Accepted: 06/24/2020] [Indexed: 11/13/2022] Open
Abstract
Objective To evaluate amyloid-β deposition with 18F-florbetaben (FBB) PET imaging against 11C-PIB PET in cognitive normal controls (NC), mild cognitive impairment (MCI), and Alzheimer’s disease (AD) patients. Methods We recruited 45 subjects (15 in each group of NC, MCI, and mild/moderate AD) who had undergone dynamic 18F-FBB amyloid PET imaging. For comparison study, 17 participants, including six NC, five MCI, and six AD patients, also underwent 11C-PIB PET imaging on separate days. Standardized uptake value ratios (SUVR) were calculated using the cerebellar cortex as the reference region with regions of interest (ROI) manually defined on co-registered CT. Quantitative analysis of mean cortical uptake was calculated using global SUVR. Spearman correlation analysis between MMSE scores and SUVR of 18F-FBB and 11C-PIB images were calculated. Results One (7%) of the 15 NC participants, nine (60%) of 15 MCI patients, and 12 (80%) of 15 AD patients had amyloid-positive lesions on 18F-FBB PET images. In AD patients, global SUVR was significantly higher than those of MCI patients (1.73 ± 0.62 vs. 1.55 ± 0.11, P < 0.001) and NC subjects (1.73 ± 0.62 vs. 1.13 ± 0.43, P < 0.001). In the comparison study, one NC participant, five MCI patients, and five AD patients had amyloid-positive lesions on 11C-PIB PET images. There was a significant linear correlation (r2 = 0.81, P < 0.001) between 18F-FBB and PIB global SUVR values. MMSE scores had negative correlations with SUVR on 11C-PIB PET (r1 = –0.650, P = 0.005) or SUVR on 18F-FBB PET (r2 = –0.754, P < 0.0001). Conclusion Our study suggests that 18F-FBB is a useful tracer for the evaluation of amyloid-β deposition in vivo and that global SUVR of 18F-FBB PET might be a reliable tool in the diagnosis of AD.
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Affiliation(s)
- Yan Chang
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Can Li
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Hui Yang
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Yue Wu
- Siemens Healthineers Ltd., Beijing, China
| | - Baixuan Xu
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Jinming Zhang
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
| | - Ruimin Wang
- Department of Nuclear Medicine, The First Medical Centre, Chinese PLA General Hospital, Beijing, China
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Jokar S, Behnammanesh H, Erfani M, Sharifzadeh M, Gholami M, Sabzevari O, Amini M, Geramifar P, Hajiramezanali M, Beiki D. Synthesis, biological evaluation and preclinical study of a novel 99mTc-peptide: A targeting probe of amyloid-β plaques as a possible diagnostic agent for Alzheimer's disease. Bioorg Chem 2020; 99:103857. [PMID: 32330736 DOI: 10.1016/j.bioorg.2020.103857] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 04/12/2020] [Accepted: 04/14/2020] [Indexed: 01/01/2023]
Abstract
With respect to the main role of amyloid-β (Aβ) plaques as one of the pathological hallmarks in the brain of Alzheimer's patients, the development of new imaging probes for targeted detection of Aβ plaques has attracted considerable interests. In this study, a novel cyclopentadienyl tricarbonyl Technetium-99 m (99mTc) agent with peptide scaffold, 99mTc-Cp-GABA-D-(FPLIAIMA)-NH2, for binding to the Aβ plaques was designed and successfully synthesized using the Fmoc solid-phase peptide synthesis method. This radiopeptide revealed a good affinity for Aβ42 aggregations (Kd = 20 µM) in binding affinity study and this result was confirmed by binding to Aβ plaques in brain sections of human Alzheimer's disease (AD) and rat models using in vitro autoradiography, fluorescent staining, and planar scintigraphy. Biodistribution studies of radiopeptide in AD and normal rats demonstrated a moderate initial brain uptake about 0.38 and 0.35% (ID/g) 2 min post-injection, respectively. Whereas, AD rats showed a notable retention time in the brain (0.23% ID/g at 30 min) in comparison with fast clearance in normal rat brains. Normal rats following treatment with cyclosporine A as a p-glycoprotein inhibitor showed a significant increase in the radiopeptide brain accumulation compared to non-treated ones. There was a good correlation between data gathered from single-photon emission computed tomography/computed tomography (SPECT/CT) imaging and biodistribution studies. Therefore, these findings showed that this novel radiopeptide could be a potential SPECT imaging agent for early detection of Aβ plaques in the brain of patients with AD.
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Affiliation(s)
- Safura Jokar
- Department of Nuclear Pharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Behnammanesh
- Department of Nuclear Pharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Erfani
- Radiation Application Research School, Nuclear Science and Technology Research Institute (NSTRI), Tehran, Iran.
| | - Mohammad Sharifzadeh
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran; Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Gholami
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran; Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran
| | - Omid Sabzevari
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran; Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohsen Amini
- Department of Medicinal Chemistry, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; Drug Design and Development Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Parham Geramifar
- Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Maliheh Hajiramezanali
- Department of Nuclear Pharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Davood Beiki
- Research Center for Nuclear Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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Grimmer T, Shi K, Diehl-Schmid J, Natale B, Drzezga A, Förster S, Förstl H, Schwaiger M, Yakushev I, Wester HJ, Kurz A, Yousefi BH. 18F-FIBT may expand PET for β-amyloid imaging in neurodegenerative diseases. Mol Psychiatry 2020; 25:2608-2619. [PMID: 30120417 PMCID: PMC7515824 DOI: 10.1038/s41380-018-0203-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Revised: 06/22/2018] [Accepted: 07/18/2018] [Indexed: 11/09/2022]
Abstract
18F-FIBT, 2-(p-Methylaminophenyl)-7-(2-[18F]fluoroethoxy)imidazo-[2,1-b]benzothiazole, is a new selective PET tracer under clinical investigation to specifically image β-amyloid depositions (Aβ) in humans in-vivo that binds to Aβ with excellent affinity (Kd 0.7 ± 0.2) and high selectivity over tau and α-synuclein aggregates (Ki > 1000 nM). We aimed to characterize 18F-FIBT in a series of patients with different clinical-pathophysiological phenotypes and to compare its binding characteristics to the reference compound PiB. Six patients (mild late-onset and moderate early-onset AD dementia, mild cognitive impairment due to AD, intermediate likelihood, mild behavioral variant of frontotemporal dementia, subjective memory impairment without evidence of neurodegeneration, and mild dementia due to Posterior Cortical Atrophy) underwent PET imaging with 18F-FIBT on PET/MR. With the guidance of MRI, PET images were corrected for partial volume effect, time-activity curves (TACs) of regions of interest (ROIs) were extracted, and non-displaceable binding potentials (BPnd), standardized uptake value ratios (SUVR), and distribution volume ratio (DVR) were compared. Specific binding was detected in the cases with evidence of the AD pathophysiological process visualized in images of BPnd, DVR and SUVR, consistently with patterns of different tracers in previous studies. SUVR showed the highest correlation with clinical severity. The previous preclinical characterization and the results of this case series suggest the clinical usefulness of FIBT as a selective and highly affine next-generation 18F-labeled tracer for amyloid-imaging with excellent pharmacokinetics in the diagnosis of neurodegenerative diseases. The results compare well to the gold standard PiB and hence support further investigation in larger human samples.
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Affiliation(s)
- Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
| | - Kuangyu Shi
- grid.15474.330000 0004 0477 2438Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany ,grid.5734.50000 0001 0726 5157Department of Nuclear Medicine, University of Bern, Freiburgstr. 10, 3010 Bern, Switzerland
| | - Janine Diehl-Schmid
- grid.15474.330000 0004 0477 2438Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Bianca Natale
- grid.15474.330000 0004 0477 2438Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Alexander Drzezga
- grid.411097.a0000 0000 8852 305XDepartment of Nuclear Medicine, University Hospital of Cologne, Kerpener Straße 62, 50937 Cologne, Germany
| | - Stefan Förster
- grid.15474.330000 0004 0477 2438Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Hans Förstl
- grid.15474.330000 0004 0477 2438Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Markus Schwaiger
- grid.15474.330000 0004 0477 2438Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Igor Yakushev
- grid.15474.330000 0004 0477 2438Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Hans-Jürgen Wester
- grid.6936.a0000000123222966Pharmaceutical Radiochemistry, Technische Universität München, Walther-Meißner-Str. 3, 85748 Garching, Germany
| | - Alexander Kurz
- grid.15474.330000 0004 0477 2438Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
| | - Behrooz Hooshyar Yousefi
- grid.15474.330000 0004 0477 2438Department of Nuclear Medicine, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675 Munich, Germany
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Segovia F, Gómez-Río M, Sánchez-Vañó R, Górriz JM, Ramírez J, Triviño-Ibáñez E, Carnero-Pardo C, Martínez-Lozano MD, Sopena-Novales P. Usefulness of Dual-Point Amyloid PET Scans in Appropriate Use Criteria: A Multicenter Study. J Alzheimers Dis 2019; 65:765-779. [PMID: 30103321 DOI: 10.3233/jad-180232] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Biomarkers of neurodegeneration play a major role in the diagnosis of Alzheimer's disease (AD). Information on both amyloid-β accumulation, e.g., from amyloid positron emission tomography (PET), and downstream neuronal injury, e.g., from 18F-fluorodeoxyglucose (FDG) PET, would ideally be obtained in a single procedure. OBJECTIVE On the basis that the parallelism between brain perfusion and glucose metabolism is well documented, the objective of this work is to evaluate whether brain perfusion estimated in a dual-point protocol of 18F-florbetaben (FBB) PET can be a surrogate of FDG PET in appropriate use criteria (AUC) for amyloid PET. METHODS This study included 47 patients fulfilling international AUC for amyloid PET. FDG PET, early FBB (pFBB) PET (0-10 min post injection), and standard FBB (sFBB) PET (90-110 min post injection) scans were acquired. Results of clinical subjective reports and of quantitative region of interest (ROI)-based analyses were compared between procedures using statistical techniques such as Pearson's correlation coefficients and t-tests. RESULTS pFBB and FDG visual reports on the 47 patients showed good agreement (k > 0.74); ROI quantitative analysis indicated that both data modalities are highly correlated; and the t-test analysis does not reject the null hypothesis that data from pFBB and FDG examinations comes from independent random samples from normal distributions with equal means and variances. CONCLUSIONS A good agreement was found between pFBB and FDG data as obtained by subjective visual and quantitative analyses. Dual-point FBB PET scans could offer complementary information (similar to that from FDG PET and FBB PET) in a single procedure, considering pFBB as a surrogate of FDG.
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Affiliation(s)
- Fermín Segovia
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.,DASCI Institute, University of Granada, Granada, Spain
| | - Manuel Gómez-Río
- Department of Nuclear Medicine, "Virgen de las Nieves" University Hospital, Granada, Spain.,Biosanitary Investigation Institute of Granada, Granada, Spain
| | - Raquel Sánchez-Vañó
- Department of Nuclear Medicine, "9 de Octubre" Hospital, Valencia, Spain.,Clinical Medicine and Public Health Doctoral Program of the University of Granada, Granada, Spain
| | - Juan Manuel Górriz
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.,DASCI Institute, University of Granada, Granada, Spain.,Biosanitary Investigation Institute of Granada, Granada, Spain
| | - Javier Ramírez
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.,DASCI Institute, University of Granada, Granada, Spain.,Biosanitary Investigation Institute of Granada, Granada, Spain
| | - Eva Triviño-Ibáñez
- Department of Nuclear Medicine, "Virgen de las Nieves" University Hospital, Granada, Spain.,Biosanitary Investigation Institute of Granada, Granada, Spain
| | - Cristóbal Carnero-Pardo
- Biosanitary Investigation Institute of Granada, Granada, Spain.,Department of Neurology, "Virgen de las Nieves" University Hospital, Granada, Spain
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Kalheim LF, Fladby T, Coello C, Bjørnerud A, Selnes P. [18F]-Flutemetamol Uptake in Cortex and White Matter: Comparison with Cerebrospinal Fluid Biomarkers and [18F]-Fludeoxyglucose. J Alzheimers Dis 2019; 62:1595-1607. [PMID: 29504529 PMCID: PMC6218124 DOI: 10.3233/jad-170582] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Flutemetamol (18F-Flut) is an [18F]-labelled amyloid PET tracer with increasing availability. The main objectives of this study were to investigate 1) cerebrospinal fluid (CSF) Aβ 1-42 (Aβ42) concentrations associated with regional 18F-Flut uptake, 2) associations between cortical 18F-Flut and [18F]-fludeoxyglucose (18F-FDG)-PET, and 3) the potential use of 18F-Flut in WM pathology. Cognitively impaired, nondemented subjects were recruited (n = 44). CSF was drawn, and 18F-Flut-PET, 18F-FDG-PET, and MRI performed. Our main findings were: 1) Different Alzheimer’s disease predilection areas showed increased 18F-Flut retention at different CSF Aβ42 concentrations (posterior regions were involved at higher concentrations). 2) There were strong negative correlations between regional cortical 18F-Flut and 18F-FDG uptake. 3) Increased 18F-Flut uptake were observed in multiple subcortical regions in amyloid positive subjects, including investigated reference regions. However, WM hyperintensity 18F-Flut standardized uptake value ratios (SUVr) were not significantly different, thus we cannot definitely conclude that the higher uptake in 18F-Flut(+) is due to amyloid deposition. In conclusion, our findings support clinical use of CSF Aβ42, putatively relate decreasing CSF Aβ42 concentrations to a sequence of regional amyloid deposition, and associate amyloid pathology to cortical hypometabolism. However, we cannot conclude that 18F-Flut-PET is a suitable marker for WM pathology due to high aberrant WM uptake.
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Affiliation(s)
- Lisa Flem Kalheim
- Department of Neurology, Akershus University Hospital, L-renskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Tormod Fladby
- Department of Neurology, Akershus University Hospital, L-renskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
| | - Christopher Coello
- Preclinical PET/CT, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Atle Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Per Selnes
- Department of Neurology, Akershus University Hospital, L-renskog, Norway.,Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway
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35
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Melzer TR, Stark MR, Keenan RJ, Myall DJ, MacAskill MR, Pitcher TL, Livingston L, Grenfell S, Horne KL, Young BN, Pascoe MJ, Almuqbel MM, Wang J, Marsh SH, Miller DH, Dalrymple-Alford JC, Anderson TJ. Beta Amyloid Deposition Is Not Associated With Cognitive Impairment in Parkinson's Disease. Front Neurol 2019; 10:391. [PMID: 31105633 PMCID: PMC6492461 DOI: 10.3389/fneur.2019.00391] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 04/01/2019] [Indexed: 12/20/2022] Open
Abstract
The extent to which Alzheimer neuropathology, particularly the accumulation of misfolded beta-amyloid, contributes to cognitive decline and dementia in Parkinson's disease (PD) is unresolved. Here, we used Florbetaben PET imaging to test for any association between cerebral amyloid deposition and cognitive impairment in PD, in a sample enriched for cases with mild cognitive impairment. This cross-sectional study used Movement Disorders Society level II criteria to classify 115 participants with PD as having normal cognition (PDN, n = 23), mild cognitive impairment (PD-MCI, n = 76), or dementia (PDD, n = 16). We acquired 18F-Florbetaben (FBB) amyloid PET and structural MRI. Amyloid deposition was assessed between the three cognitive groups, and also across the whole sample using continuous measures of both global cognitive status and average performance in memory domain tests. Outcomes were cortical FBB uptake, expressed in centiloids and as standardized uptake value ratios (SUVR) using the Centiloid Project whole cerebellum region as a reference, and regional SUVR measurements. FBB binding was higher in PDD, but this difference did not survive adjustment for the older age of the PDD group. We established a suitable centiloid cut-off for amyloid positivity in Parkinson's disease (31.3), but there was no association of FBB binding with global cognitive or memory scores. The failure to find an association between PET amyloid deposition and cognitive impairment in a moderately large sample, particularly given that it was enriched with PD-MCI patients at risk of dementia, suggests that amyloid pathology is not the primary driver of cognitive impairment and dementia in most patients with PD.
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Affiliation(s)
- Tracy R Melzer
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand
| | - Megan R Stark
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Ross J Keenan
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Pacific Radiology Group, Christchurch, New Zealand
| | - Daniel J Myall
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Michael R MacAskill
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Toni L Pitcher
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand
| | - Leslie Livingston
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Sophie Grenfell
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Kyla-Louise Horne
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand
| | - Bob N Young
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Maddie J Pascoe
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Mustafa M Almuqbel
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Pacific Radiology Group, Christchurch, New Zealand
| | - Jian Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Steven H Marsh
- Department of Physics and Astronomy, University of Canterbury, Christchurch, New Zealand
| | - David H Miller
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Institute of Neurology, University College London, London, United Kingdom
| | - John C Dalrymple-Alford
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand.,Department of Psychology, University of Canterbury, Christchurch, New Zealand
| | - Tim J Anderson
- New Zealand Brain Research Institute, Christchurch, New Zealand.,Department of Medicine, University of Otago, Christchurch, New Zealand.,Brain Research New Zealand Rangahau Roro Aotearoa Centre of Research Excellence, Christchurch, New Zealand.,Department of Neurology, Christchurch Hospital, Christchurch, New Zealand
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36
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Prediction of Alzheimer's Pathological Changes in Subjective Cognitive Decline Using the Self-report Questionnaire and Neuroimaging Biomarkers. Dement Neurocogn Disord 2019; 18:19-29. [PMID: 31097969 PMCID: PMC6494779 DOI: 10.12779/dnd.2019.18.1.19] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 03/27/2019] [Accepted: 04/09/2019] [Indexed: 12/02/2022] Open
Abstract
Background and Purpose Subjective cognitive decline (SCD) may be the first symptomatic stage of Alzheimer's disease (AD). Hence, a screening tool to characterize the patients' complaints and assess the risk of AD is required. We investigated the SCD neuroimaging biomarker distributions and the relevance between the self-report questionnaire and Alzheimer's pathologic changes. Methods Individuals aged 50 and above with consistent cognitive complaints without any objective cognitive impairments were eligible for the study. The newly developed questionnaire consisted of 2 parts; 10 questions translated from the ‘SCD-plus criteria’ and a Korean version of the cognitive failure questionnaire by Broadbent. All the subjects underwent physical examinations such as blood work, detailed neuropsychological tests, the self-report questionnaire, brain magnetic resonance imagings, and florbetaben positron emission tomography (PET) scans. Amyloid PET findings were interpreted using both visual rating and quantitative analysis. Group comparisons and association analysis were performed using SPSS (version 18.0). Results A total of 31 participants with SCD completed the study and 25.8% showed positive amyloid depositions. The degree of periventricular white matter hyperintensities (WMH) and hippocampal atrophy were more severe in amyloid-positive SCDs compared to the amyloid-negative group. In the self-reported questionnaire, the ‘informant's report a decline’ and ‘symptom's onset after 65 years of age’ were associated with more Alzheimer's pathologic changes. Conclusions Amyloid-positive SCDs differed from amyloid-negative SCDs on WMH, hippocampal atrophy, and a few self-reported clinical features, which gave clues on the prediction of AD pathology.
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37
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Heeman F, Yaqub M, Lopes Alves I, Heurling K, Berkhof J, Gispert JD, Bullich S, Foley C, Lammertsma AA. Optimized dual-time-window protocols for quantitative [ 18F]flutemetamol and [ 18F]florbetaben PET studies. EJNMMI Res 2019; 9:32. [PMID: 30919133 PMCID: PMC6437225 DOI: 10.1186/s13550-019-0499-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 03/11/2019] [Indexed: 12/12/2022] Open
Abstract
Background A long dynamic scanning protocol may be required to accurately measure longitudinal changes in amyloid load. However, such a protocol results in a lower patient comfort and scanning efficiency compared to static scans. A compromise can be achieved by implementing dual-time-window protocols. This study aimed to optimize these protocols for quantitative [18F]flutemetamol and [18F]florbetaben studies. Methods Rate constants for subjects across the Alzheimer’s disease spectrum (i.e., non-displaceable binding potential (BPND) in the range 0.02–0.77 and 0.02–1.04 for [18F]flutemetamol and [18F]florbetaben, respectively) were established based on clinical [18F]flutemetamol (N = 6) and [18F]florbetaben (N = 20) data, and used to simulate tissue time-activity curves (TACs) of 110 min using a reference tissue and plasma input model. Next, noise was added (N = 50) and data points corresponding to different intervals were removed from the TACs, ranging from 0 (i.e., 90–90 = full-kinetic curve) to 80 (i.e., 10–90) minutes, creating a dual-time-window. Resulting TACs were fitted using the simplified reference tissue method (SRTM) to estimate the BPND, outliers (≥ 1.5 × BPND max) were removed and the bias was assessed using the distribution volume ratio (DVR = BPND + 1). To this end, acceptability curves, which display the fraction of data below a certain bias threshold, were generated and the area under those curves were calculated. Results [18F]Flutemetamol and [18F]florbetaben data demonstrated an increased bias in amyloid estimate for larger intervals and higher noise levels. An acceptable bias (≤ 3.1%) in DVR could be obtained with all except the 10–90 and 20–90-min intervals. Furthermore, a reduced fraction of acceptable data and most outliers were present for these two largest intervals (maximum percentage outliers 48 and 32 for [18F]flutemetamol and [18F]florbetaben, respectively). Conclusions The length of the interval inversely correlates with the accuracy of the BPND estimates. Consequently, a dual-time-window protocol of 0–30 and 90–110 min (=maximum of 60 min interval) allows for accurate estimation of BPND values for both tracers. [18F]flutemetamol: EudraCT 2007-000784-19, registered 8 February 2007, [18F]florbetaben: EudraCT 2006-003882-15, registered 2006. Electronic supplementary material The online version of this article (10.1186/s13550-019-0499-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan, 1117, Amsterdam, Netherlands.
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan, 1117, Amsterdam, Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan, 1117, Amsterdam, Netherlands
| | - Kerstin Heurling
- Wallenberg Centre for Molecular and Translational Medicine and the Department of Psychiatry and Neurochemistry, University of Gothenburg, 405 30, Gothenburg, Sweden
| | - Johannes Berkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Biostatistics, De Boelelaan, 1117, Amsterdam, Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Carrer de Wellington, 30, 08005, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain.,Universitat Pompeu Fabra, Plaça de la Mercè, 10, 08002, Barcelona, Spain
| | - Santiago Bullich
- Life Molecular Imaging GmbH, Tegeler Str. 7, 13353, Berlin, Germany
| | | | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan, 1117, Amsterdam, Netherlands
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38
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Park JE, Choi KY, Kim BC, Choi SM, Song MK, Lee JJ, Kim J, Song HC, Kim HW, Ha JM, Seo EH, Song WK, Park SG, Lee JS, Lee KH. Cerebrospinal Fluid Biomarkers for the Diagnosis of Prodromal Alzheimer's Disease in Amnestic Mild Cognitive Impairment. Dement Geriatr Cogn Dis Extra 2019; 9:100-113. [PMID: 31011328 PMCID: PMC6465729 DOI: 10.1159/000496920] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 01/14/2019] [Indexed: 12/31/2022] Open
Abstract
Background/Aims Disease-modifying therapy for Alzheimer's disease (AD) has led to a need for biomarkers to identify prodromal AD and very early stage of AD dementia. We aimed to identify the cutoff values of cerebrospinal fluid (CSF) biomarkers for detecting prodromal AD. Methods We assessed 56 patients with amnestic mild cognitive impairment (aMCI) who underwent lumbar puncture. Additionally, 87 healthy elderly individuals and 34 patients with AD dementia served as controls. Positron emission tomography was performed using florbetaben as a probe. We analyzed the concentration of Aβ1–42, total tau protein (t-Tau), and tau protein phosphorylated at threonine 181 (p-Tau181) in CSF with INNOTEST enzyme-linked immunosorbent assay. Results For the detection of prodromal AD in patients with aMCI, the cutoff values of CSF Aβ1–42, t-Tau, and p-Tau181 were 749.5 pg/mL, 225.6 pg/mL, and 43.5 pg/mL, respectively. To discriminate prodromal AD in patients with aMCI, the t-Tau/Aβ1–42 and p-Tau181/Aβ1–42 ratios defined cutoff values at 0.298 and 0.059, respectively. Conclusions CSF biomarkers are very useful tools for the differential diagnosis of prodromal AD in aMCI patients. The concentration of CSF biomarkers is well correlated with the stages of the AD spectrum.
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Affiliation(s)
- Jung Eun Park
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,BK21-PLUS Research Team for Bioactive Control Technology, Chosun University, Gwangju, Republic of Korea
| | - Kyu Yeong Choi
- National Research Center for Dementia, Chosun University, Gwangju, Republic of Korea
| | - Byeong C Kim
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Seong-Min Choi
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Min-Kyung Song
- Department of Neurology, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Jang Jae Lee
- National Research Center for Dementia, Chosun University, Gwangju, Republic of Korea
| | - Jahae Kim
- Department of Nuclear Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Ho-Chun Song
- Department of Nuclear Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea
| | - Hoo-Won Kim
- Department of Neurology, School of Medicine, Chosun University, Gwangju, Republic of Korea
| | - Jung-Min Ha
- Department of Nuclear Medicine, School of Medicine, Chosun University, Gwangju, Republic of Korea
| | - Eun Hyun Seo
- Premedical Science, College of Medicine, Chosun University, Gwangju, Republic of Korea
| | - Woo Keun Song
- School of Life Science, Bioimaging, and Cell Dynamics Research Center, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Sung-Gyoo Park
- School of Life Science, Bioimaging, and Cell Dynamics Research Center, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Jung Sup Lee
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,BK21-PLUS Research Team for Bioactive Control Technology, Chosun University, Gwangju, Republic of Korea
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea.,National Research Center for Dementia, Chosun University, Gwangju, Republic of Korea
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39
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Chen KT, Gong E, de Carvalho Macruz FB, Xu J, Boumis A, Khalighi M, Poston KL, Sha SJ, Greicius MD, Mormino E, Pauly JM, Srinivas S, Zaharchuk G. Ultra-Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs. Radiology 2019; 290:649-656. [PMID: 30526350 PMCID: PMC6394782 DOI: 10.1148/radiol.2018180940] [Citation(s) in RCA: 144] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 10/05/2018] [Accepted: 10/23/2018] [Indexed: 01/17/2023]
Abstract
Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic quality by using deep learning methods. Materials and Methods Forty data sets from 39 patients (mean age ± standard deviation [SD], 67 years ± 8), including 16 male patients and 23 female patients (mean age, 66 years ± 6 and 68 years ± 9, respectively), who underwent simultaneous amyloid (fluorine 18 [18F]-florbetaben) PET/MRI examinations were acquired from March 2016 through October 2017 and retrospectively analyzed. One hundredth of the raw list-mode PET data were randomly chosen to simulate a low-dose (1%) acquisition. Convolutional neural networks were implemented with low-dose PET and multiple MR images (PET-plus-MR model) or with low-dose PET alone (PET-only) as inputs to predict full-dose PET images. Quality of the synthesized images was evaluated while Bland-Altman plots assessed the agreement of regional standard uptake value ratios (SUVRs) between image types. Two readers scored image quality on a five-point scale (5 = excellent) and determined amyloid status (positive or negative). Statistical analyses were carried out to assess the difference of image quality metrics and reader agreement and to determine confidence intervals (CIs) for reading results. Results The synthesized images (especially from the PET-plus-MR model) showed marked improvement on all quality metrics compared with the low-dose image. All PET-plus-MR images scored 3 or higher, with proportions of images rated greater than 3 similar to those for the full-dose images (-10% difference [eight of 80 readings], 95% CI: -15%, -5%). Accuracy for amyloid status was high (71 of 80 readings [89%]) and similar to intrareader reproducibility of full-dose images (73 of 80 [91%]). The PET-plus-MR model also had the smallest mean and variance for SUVR difference to full-dose images. Conclusion Simultaneously acquired MRI and ultra-low-dose PET data can be used to synthesize full-dose-like amyloid PET images. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by Catana in this issue.
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Affiliation(s)
- Kevin T. Chen
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Enhao Gong
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Fabiola Bezerra de Carvalho Macruz
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Junshen Xu
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Athanasia Boumis
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Mehdi Khalighi
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Kathleen L. Poston
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Sharon J. Sha
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Michael D. Greicius
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Elizabeth Mormino
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - John M. Pauly
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Shyam Srinivas
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
| | - Greg Zaharchuk
- From the Departments of Radiology (K.T.C., F.B.d.C.M., S.S., G.Z.),
Electrical Engineering (E.G., J.M.P.), and Neurology and Neurological Sciences
(A.B., K.L.P., S.J.S., M.D.G., E.M.), Stanford University, 1201 Welch Rd,
Stanford, CA 94305; Department of Engineering Physics, Tsinghua University,
Beijing, PR China (J.X.); GE Healthcare, Menlo Park, Calif (M.K.); and Subtle
Medical, Menlo Park, CA (E.G.)
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Son HJ, Jeong YJ, Yoon HJ, Lee SY, Choi GE, Park JA, Kim MH, Lee KC, Lee YJ, Kim MK, Cho K, Kang DY. Assessment of brain beta-amyloid deposition in transgenic mouse models of Alzheimer's disease with PET imaging agents 18F-flutemetamol and 18F-florbetaben. BMC Neurosci 2018; 19:45. [PMID: 30053803 PMCID: PMC6063010 DOI: 10.1186/s12868-018-0447-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 07/23/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Although amyloid beta (Aβ) imaging is widely used for diagnosing and monitoring Alzheimer's disease in clinical fields, paralleling comparison between 18F-flutemetamol and 18F-florbetaben was rarely attempted in AD mouse model. We performed a comparison of Aβ PET images between 18F-flutemetamol and 18F-florbetaben in a recently developed APPswe mouse model, C57BL/6-Tg (NSE-hAPPsw) Korl. RESULTS After an injection (0.23 mCi) of 18F-flutemetamol and 18F-florbetaben at a time interval of 2-3 days, we compared group difference of SUVR and kinetic parameters between the AD (n = 7) and control (n = 7) mice, as well as between 18F-flutemetamol and 18F-florbetaben image. In addition, bio-distribution and histopathology were conducted. With visual image and VOI-based SUVR analysis, the AD group presented more prominent uptake than did the control group in both the 18F-florbetaben and 18F-flutemetamol images. With kinetic analysis, the 18F-florbetaben images showed differences in K1 and k4 between the AD and control groups, although 18F-flutemetamol images did not show significant difference. 18F-florbetaben images showed more prominent cortical uptake and matched well to the thioflavin S staining images than did the 18F-flutemetamol image. In contrast, 18F-flutemetamol images presented higher K1, k4, K1/k2 values than those of 18F-florbetaben images. Also, 18F-flutemetamol images presented prominent uptake in the bowel and bladder, consistent with higher bio-distribution in kidney, lung, blood and heart. CONCLUSIONS Compared with 18F-flutemetamol images, 18F-florbetaben images showed prominent visual uptake intensity, SUVR, and higher correlations with the pathology. In contrast, 18F-flutemetamol was more actively metabolized than was 18F-florbetaben (Son et al. in J Nucl Med 58(Suppl 1):S278, 2017].
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Affiliation(s)
- Hye Joo Son
- Department of Nuclear Medicine, Dong-A University Medical Center, Dong-A University College of Medicine, 26 Daesingongwon-ro, Seo-gu, Busan, 602-812 Korea
| | - Young Jin Jeong
- Department of Nuclear Medicine, Dong-A University Medical Center, Dong-A University College of Medicine, 26 Daesingongwon-ro, Seo-gu, Busan, 602-812 Korea
| | - Hyun Jin Yoon
- Department of Nuclear Medicine, Dong-A University Medical Center, Dong-A University College of Medicine, 26 Daesingongwon-ro, Seo-gu, Busan, 602-812 Korea
| | - Sang Yoon Lee
- Department of Nuclear Medicine, Dong-A University Medical Center, Dong-A University College of Medicine, 26 Daesingongwon-ro, Seo-gu, Busan, 602-812 Korea
| | - Go-Eun Choi
- Institute of Convergence Bio-Health, Dong-A University, Busan, Korea
| | - Ji-Ae Park
- Division of RI-Convergence Research, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Min Hwan Kim
- Division of RI-Convergence Research, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Kyo Chul Lee
- Division of RI-Convergence Research, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Yong Jin Lee
- Division of RI-Convergence Research, Korea Institute of Radiological and Medical Sciences, Seoul, Korea
| | - Mun Ki Kim
- Pohang Center of Evolution of Biomaterials, Pohang Technopark, Pohang, Korea
| | - Kook Cho
- Institute of Convergence Bio-Health, Dong-A University, Busan, Korea
| | - Do-Young Kang
- Department of Nuclear Medicine, Dong-A University Medical Center, Dong-A University College of Medicine, 26 Daesingongwon-ro, Seo-gu, Busan, 602-812 Korea
- Institute of Convergence Bio-Health, Dong-A University, Busan, Korea
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41
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Kawai R, Araki M, Yoshimura M, Kamiya N, Ono M, Saji H, Okuno Y. Core Binding Site of a Thioflavin-T-Derived Imaging Probe on Amyloid β Fibrils Predicted by Computational Methods. ACS Chem Neurosci 2018; 9:957-966. [PMID: 29381047 DOI: 10.1021/acschemneuro.7b00389] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Development of new diagnostic imaging probes for Alzheimer's disease, such as positron emission tomography (PET) and single photon emission computed tomography (SPECT) probes, has been strongly desired. In this study, we investigated the most accessible amyloid β (Aβ) binding site of [123I]IMPY, a Thioflavin-T-derived SPECT probe, using experimental and computational methods. First, we performed a competitive inhibition assay with Orange-G, which recognizes the KLVFFA region in Aβ fibrils, suggesting that IMPY and Orange-G bind to different sites in Aβ fibrils. Next, we precisely predicted the IMPY binding site on a multiple-protofilament Aβ fibril model using computational approaches, consisting of molecular dynamics and docking simulations. We generated possible IMPY-binding structures using docking simulations to identify candidates for probe-binding sites. The binding free energy of IMPY with the Aβ fibril was calculated by a free energy simulation method, MP-CAFEE. These computational results suggest that IMPY preferentially binds to an interfacial pocket located between two protofilaments and is stabilized mainly through hydrophobic interactions. Finally, our computational approach was validated by comparing it with the experimental results. The present study demonstrates the possibility of computational approaches to screen new PET/SPECT probes for Aβ imaging.
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Affiliation(s)
- Ryoko Kawai
- Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Mitsugu Araki
- Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo-ku, Kyoto 606-8507, Japan
- RIKEN Advanced Institute for Computational Science, 7-1-26 Minatojima Minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, JAPAN
| | - Masashi Yoshimura
- Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Narutoshi Kamiya
- Graduate School of Simulation Studies, University of Hyogo, 7-1-28 Minatojima Minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
| | - Masahiro Ono
- Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Hideo Saji
- Graduate School of Pharmaceutical Sciences, Kyoto University, 46-29 Yoshida Shimoadachi-cho, Sakyo-ku, Kyoto 606-8501, Japan
| | - Yasushi Okuno
- Graduate School of Medicine, Kyoto University, 53 Shogoin-Kawaharacho, Sakyo-ku, Kyoto 606-8507, Japan
- RIKEN Advanced Institute for Computational Science, 7-1-26 Minatojima Minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, JAPAN
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42
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Cerami C, Dodich A, Iannaccone S, Magnani G, Santangelo R, Presotto L, Marcone A, Gianolli L, Cappa SF, Perani D. A biomarker study in long-lasting amnestic mild cognitive impairment. ALZHEIMERS RESEARCH & THERAPY 2018; 10:42. [PMID: 29695292 PMCID: PMC5918759 DOI: 10.1186/s13195-018-0369-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Accepted: 03/19/2018] [Indexed: 01/09/2023]
Abstract
Background Mild cognitive impairment (MCI) is a heterogeneous syndrome resulting from Alzheimer’s disease (AD) as well as to non-AD and non-neurodegenerative conditions. A subset of patients with amnestic MCI (aMCI) present with an unusually long-lasting course, a slow rate of clinical neuropsychological progression, and evidence of focal involvement of medial temporal lobe structures. In the present study, we explored positron emission tomography (PET) and cerebrospinal fluid (CSF) biomarkers in a sample of subjects with aMCI with such clinical features in order to provide in vivo evidence to improve disease characterisation in this subgroup. Methods Thirty consecutive subjects with aMCI who had long-lasting memory impairment (more than 4 years from symptom onset) and a very slow rate of cognitive progression were included. All subjects underwent fluorodeoxyglucose-positron emission tomography (FDG-PET) metabolic imaging. A measure of cerebral amyloid load, by PET and/or CSF, was obtained in 26 of 30 subjects. The mean clinical follow-up was 58.3 ± 10.1 months. Results No patient progressed to dementia during the follow-up. The typical AD FDG-PET pattern of temporoparietal hypometabolism was not present in any of the subjects. In contrast, a selective medial temporal lobe hypometabolism was present in all subjects, with an extension to frontolimbic regions in some subjects. PET imaging showed absent or low amyloid load in the majority of samples. The values were well below those reported in prodromal AD, and they were slightly elevated in only two subjects, consistent with the CSF β-amyloid (1–42) protein values. Notably, no amyloid load was present in the hippocampal structures. Conclusions FDG-PET and amyloid-PET together with CSF findings questioned AD pathology as a unique neuropathological substrate in this aMCI subgroup with long-lasting disease course. The possibility of alternative pathological conditions, such as argyrophilic grain disease, primary age-related tauopathy or age-related TDP-43 proteinopathy, known to spread throughout the medial temporal lobe and limbic system structures should be considered in these patients with MCI.
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Affiliation(s)
- Chiara Cerami
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy. .,Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy.
| | - Alessandra Dodich
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy
| | - Sandro Iannaccone
- Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy
| | | | | | - Luca Presotto
- Nuclear Medicine Department, San Raffaele Hospital, Milan, Italy
| | - Alessandra Marcone
- Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy
| | - Luigi Gianolli
- Nuclear Medicine Department, San Raffaele Hospital, Milan, Italy
| | - Stefano F Cappa
- NeTS Center, Istituto Universitario di Studi Superiori, Pavia, Italy.,IRCCS S. Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniela Perani
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.,Nuclear Medicine Department, San Raffaele Hospital, Milan, Italy.,Università Vita-Salute San Raffaele, Milan, Italy
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Chauhan K, Tiwari AK, Chadha N, Kaul A, Singh AK, Datta A. Chalcone Based Homodimeric PET Agent, 11C-(Chal) 2DEA-Me, for Beta Amyloid Imaging: Synthesis and Bioevaluation. Mol Pharm 2018. [PMID: 29522675 DOI: 10.1021/acs.molpharmaceut.7b01070] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Homodimeric chalcone based 11C-PET radiotracer, 11C-(Chal)2DEA-Me, was synthesized, and binding affinity toward beta amyloid (Aβ) was evaluated. The computational studies revealed multiple binding of the tracer at the recognition sites of Aβ fibrils. The bivalent ligand 11C-(Chal)2DEA-Me displayed higher binding affinity compared to the corresponding monomer, 11C-Chal-Me, and classical Aβ agents. The radiolabeling yield with carbon-11 was 40-55% (decay corrected) with specific activity of 65-90 GBq/μmol. A significant ( p < 0.0001) improvement in the binding affinity of 11C-(Chal)2DEA-Me with synthetic Aβ42 aggregates over the monomer, 11C-Chal-Me, demonstrates the utility of the bivalent approach. The PET imaging and biodistribution data displayed suitable brain pharmacokinetics of both ligands with higher brain uptake in the case of the bivalent ligand. Metabolite analysis of healthy ddY mouse brain homogenates exhibited high stability of the radiotracers in the brain with >93% intact tracer at 30 min post injection. Both chalcone derivatives were fluorescent in nature and demonstrated significant changes in the emission properties after binding with Aβ42. The preliminary analysis indicates high potential of 11C-(Chal)2DEA-Me as in vivo Aβ42 imaging tracer and highlights the significance of the bivalent approach to achieve a higher biological response for detection of early stages of amyloidosis.
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Affiliation(s)
- Kanchan Chauhan
- Division of Cyclotron and Radiopharmaceutical Sciences , Institute of Nuclear Medicine & Allied Sciences, DRDO , Brig. SK Mazumdar Marg , Delhi 110054 , India.,Departamento de Bionanotecnología, Centro de Nanociencias y Nanotecnología , Universidad Nacional Autónoma de México , Km. 107 Carratera Tijuana-Ensenada , 22860 Ensenada , Baja California , Mexico
| | - Anjani K Tiwari
- Division of Cyclotron and Radiopharmaceutical Sciences , Institute of Nuclear Medicine & Allied Sciences, DRDO , Brig. SK Mazumdar Marg , Delhi 110054 , India.,Department of Applied Chemistry , Babasaheb Bhimrao Ambedkar University , Lucknow , India
| | - Nidhi Chadha
- Division of Cyclotron and Radiopharmaceutical Sciences , Institute of Nuclear Medicine & Allied Sciences, DRDO , Brig. SK Mazumdar Marg , Delhi 110054 , India
| | - Ankur Kaul
- Division of Cyclotron and Radiopharmaceutical Sciences , Institute of Nuclear Medicine & Allied Sciences, DRDO , Brig. SK Mazumdar Marg , Delhi 110054 , India
| | - Ajai Kumar Singh
- Department of Chemistry , Indian Institute of Technology , Delhi 110016 , India
| | - Anupama Datta
- Division of Cyclotron and Radiopharmaceutical Sciences , Institute of Nuclear Medicine & Allied Sciences, DRDO , Brig. SK Mazumdar Marg , Delhi 110054 , India
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Shokouhi S, Campbell D, Brill AB, Gwirtsman HE. Longitudinal Positron Emission Tomography in Preventive Alzheimer's Disease Drug Trials, Critical Barriers from Imaging Science Perspective. Brain Pathol 2018; 26:664-71. [PMID: 27327527 PMCID: PMC5958602 DOI: 10.1111/bpa.12399] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 06/16/2016] [Indexed: 12/30/2022] Open
Abstract
Recent Alzheimer's trials have recruited cognitively normal people at risk for Alzheimer's dementia. Due to the lack of clinical symptoms in normal population, conventional clinical outcome measures are not suitable for these early trials. While several groups are developing new composite cognitive tests that could serve as potential outcome measures by detecting subtle cognitive changes in normal people, there is a need for longitudinal brain imaging techniques that can correlate with temporal changes in these new tests and provide additional objective measures of neuropathological changes in brain. Positron emission tomography (PET) is a nuclear medicine imaging procedure based on the measurement of annihilation photons after positron emission from radiolabeled molecules that allow tracking of biological processes in body, including the brain. PET is a well-established in vivo imaging modality in Alzheimer's disease diagnosis and research due to its capability of detecting abnormalities in three major hallmarks of this disease. These include (1) amyloid beta plaques; (2) neurofibrillary tau tangles and (3) decrease in neuronal activity due to loss of nerve cell connection and death. While semiquantitative PET imaging techniques are commonly used to set discrete cut-points to stratify abnormal levels of amyloid accumulation and neurodegeneration, they are suboptimal for detecting subtle longitudinal changes. In this study, we have identified and discussed four critical barriers in conventional longitudinal PET imaging that may be particularly relevant for early Alzheimer's disease studies. These include within and across subject heterogeneity of AD-affected brain regions, PET intensity normalization, neuronal compensations in early disease stages and cerebrovascular amyloid deposition.
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Affiliation(s)
- Sepideh Shokouhi
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center
| | - Desmond Campbell
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center
| | - Aaron B Brill
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center
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Renard D, Collombier L, Demattei C, Wacongne A, Charif M, Ayrignac X, Azakri S, Gaillard N, Boudousq V, Lehmann S, Menjot de Champfleur N, Thouvenot E. Cerebrospinal Fluid, MRI, and Florbetaben-PET in Cerebral Amyloid Angiopathy-Related Inflammation. J Alzheimers Dis 2018; 61:1107-1117. [DOI: 10.3233/jad-170843] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Dimitri Renard
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, France
| | | | | | - Anne Wacongne
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, France
| | - Mahmoud Charif
- Department of Neurology, CHU Montpellier, Hôpital Gui de Chauliac, France
| | - Xavier Ayrignac
- Department of Neurology, CHU Montpellier, Hôpital Gui de Chauliac, France
| | - Souhayla Azakri
- Department of Neurology, CHU Montpellier, Hôpital Gui de Chauliac, France
| | | | - Vincent Boudousq
- Department of Nuclear Medicine, CHU Nîmes, Hôpital Caremeau, France
| | - Sylvain Lehmann
- Laboratoire de Biochimie-Protéomique Clinique – IRMB – CRB – Inserm U11183, CHU Montpellier, Hôpital St-Eloi – Université Montpellier, France
| | | | - Eric Thouvenot
- Department of Neurology, CHU Nîmes, Hôpital Caremeau, France
- Institut de Génomique Fonctionnelle, UMR5203, Université Montpellier, Montpellier, France
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46
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Wang CW, Nan DD, Wang XM, Ke ZJ, Chen GJ, Zhou JN. A peptide-based near-infrared fluorescence probe for dynamic monitoring senile plaques in Alzheimer's disease mouse model. Sci Bull (Beijing) 2017; 62:1593-1601. [PMID: 36659477 DOI: 10.1016/j.scib.2017.11.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
In vivo monitoring neuropathological changes in Alzheimer's disease (AD) animal model is critical for drug development. Here, by integrating blood-brain barrier penetrable peptide, we have developed a peptide probe which based on angiopep-2. Angiopep-based probe exhibited high binding affinity to Aβ aggregates and labeled senile plaques in vivo. Remarkably, the in vivo near-infrared imaging data revealed that fluorescence signals of this probe were nearly 3-fold higher in the brains of 16-month-old APP/PS1 transgenic mice compared to C57 mice and exhibited linear correlation with the senile plaques load process in 4-, 8-, 16-month-old APP/PS1 transgenic mice. Moreover, senile plaques load was detected in vivo as early as 4 months of age that even at the very beginning of plaques developed in APP/PS1 transgenic mice. Taken together, this novel peptide-based probe achieved dynamic monitoring senile plaques in APP/PS1 transgenic mice and have been ready to use in drug development in AD mouse model.
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Affiliation(s)
- Chen-Wei Wang
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Dou-Dou Nan
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Xin-Meng Wang
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
| | - Zun-Ji Ke
- Department of Biochemistry, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Guo-Jun Chen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing Key Laboratory of Neurology, Chongqing 400016, China
| | - Jiang-Ning Zhou
- CAS Key Laboratory of Brain Function and Disease, School of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
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47
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Ottoy J, Verhaeghe J, Niemantsverdriet E, Engelborghs S, Stroobants S, Staelens S. A simulation study on the impact of the blood flow-dependent component in [18F]AV45 SUVR in Alzheimer's disease. PLoS One 2017; 12:e0189155. [PMID: 29211812 PMCID: PMC5718604 DOI: 10.1371/journal.pone.0189155] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 11/20/2017] [Indexed: 01/04/2023] Open
Abstract
Background Increased brain uptake on [18F]AV45 PET is a biomarker for Alzheimer’s disease (AD). The standardised uptake value ratio (SUVR) is widely used for quantification but is subject to variability. Here we evaluate how SUVR of a cortical target region is affected by blood flow changes in the target and two frequently used reference regions. Methods Regional baseline time-activity curves (TACs) were simulated based on metabolite-corrected plasma input functions and pharmacokinetic parameters obtained from our previously acquired data in healthy control (HC; n = 10), amnestic mild cognitive impairment (aMCI; n = 15) and AD cohorts (n = 9). Blood flow changes were simulated by altering the regional tracer delivery rate K1 (and clearance rate k2) between -40% and +40% from its regional baseline value in the target region and/or cerebellar grey (CB) or subcortical white matter (WM) reference regions. The corresponding change in SUVR was calculated at 50–60 min post-injection. Results A -40% blood flow reduction in the target resulted in an increased SUVRtarget (e.g. SUVRprecuneus: +10.0±5% in HC, +2.5±2% in AD), irrespective of the used reference region. A -40% blood flow reduction in the WM reference region increased SUVRWM (+11.5±4% in HC, +13.5±3% in AD) while a blood flow reduction in CB decreased SUVRCB (-9.5±6% in HC, -5.5±2% in AD), irrespective of the used target region. A -40% flow reduction in both the precuneus and reference WM (i.e., global flow change) induced an increased SUVR (+22.5±8% in HC, +16.0±4% in AD). When considering reference CB instead, SUVR was decreased by less than -5% (both in HC and AD). Conclusion Blood flow changes introduce alterations in [18F]AV45 PET SUVR. Flow reductions in the CB and WM reference regions resulted in a decreased and increased SUVR of the target, respectively. SUVR was more affected by global blood flow changes when considering WM instead of CB normalization.
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Affiliation(s)
- Julie Ottoy
- Molecular Imaging Center Antwerp, University of Antwerp, Antwerp, Belgium
| | - Jeroen Verhaeghe
- Molecular Imaging Center Antwerp, University of Antwerp, Antwerp, Belgium
| | - Ellis Niemantsverdriet
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium
- Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Hoge Beuken en Middelheim, Antwerp, Belgium
| | - Sigrid Stroobants
- Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium
| | - Steven Staelens
- Molecular Imaging Center Antwerp, University of Antwerp, Antwerp, Belgium
- * E-mail:
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48
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Bullich S, Barthel H, Koglin N, Becker GA, De Santi S, Jovalekic A, Stephens AW, Sabri O. Validation of Noninvasive Tracer Kinetic Analysis of 18F-Florbetaben PET Using a Dual-Time-Window Acquisition Protocol. J Nucl Med 2017; 59:1104-1110. [PMID: 29175981 DOI: 10.2967/jnumed.117.200964] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 11/10/2017] [Indexed: 11/16/2022] Open
Abstract
Accurate amyloid PET quantification is necessary for monitoring amyloid-β accumulation and response to therapy. Currently, most of the studies are analyzed using the static SUV ratio (SUVR) approach because of its simplicity. However, this approach may be influenced by changes in cerebral blood flow (CBF) or radiotracer clearance. Full tracer kinetic models require arterial blood sampling and dynamic image acquisition. The objectives of this work were, first, to validate a noninvasive kinetic modeling approach for 18F-florbetaben PET using an acquisition protocol with the best compromise between quantification accuracy and simplicity and, second, to assess the impact of CBF changes and radiotracer clearance on SUVRs and noninvasive kinetic modeling data in 18F-florbetaben PET. Methods: Using data from 20 subjects (10 patients with probable Alzheimer dementia and 10 healthy volunteers), the nondisplaceable binding potential (BPND) obtained from the full kinetic analysis was compared with the SUVR and with noninvasive tracer kinetic methods (simplified reference tissue model and multilinear reference tissue model 2). Various approaches using shortened or interrupted acquisitions were compared with the results of the full acquisition (0-140 min). Simulations were performed to assess the effect of CBF and radiotracer clearance changes on SUVRs and noninvasive kinetic modeling outputs. Results: An acquisition protocol using time windows of 0-30 and 120-140 min with appropriate interpolation of the missing time points provided the best compromise between patient comfort and quantification accuracy. Excellent agreement was found between BPND obtained using the full protocol and BPND obtained using the dual-window protocol (for multilinear reference tissue model 2, BPND [dual-window] = 0.01 + 1.00·BPND [full], R2 = 0.97; for simplified reference tissue model, BPND [dual-window] = 0.05 + 0.92·BPND [full], R2 = 0.93). Simulations showed a limited impact of CBF and radiotracer clearance changes on multilinear reference tissue model parameters and SUVR. Conclusion: This study demonstrated accurate noninvasive kinetic modeling of 18F-florbetaben PET data using a dual-window acquisition, thus providing a good compromise between quantification accuracy, scan duration, and patient burden. The influence of CBF and radiotracer clearance changes on amyloid-β load estimates was small. For most clinical research applications, the SUVR approach is appropriate. However, for longitudinal studies in which maximum quantification accuracy is desired, this noninvasive dual-window acquisition with kinetic analysis is recommended.
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Affiliation(s)
| | - Henryk Barthel
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany; and
| | | | - Georg A Becker
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany; and
| | | | | | | | - Osama Sabri
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany; and
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Alves GS, de Carvalho LDA, Sudo FK, Briand L, Laks J, Engelhardt E. A panel of clinical and neuropathological features of cerebrovascular disease through the novel neuroimaging methods. Dement Neuropsychol 2017; 11:343-355. [PMID: 29354214 PMCID: PMC5769992 DOI: 10.1590/1980-57642016dn11-040003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
UNLABELLED The last decade has witnessed substantial progress in acquiring diagnostic biomarkers for the diagnostic workup of cerebrovascular disease (CVD). Advanced neuroimaging methods not only provide a strategic contribution for the differential diagnosis of vascular dementia (VaD) and vascular cognitive impairment (VCI), but also help elucidate the pathophysiological mechanisms ultimately leading to small vessel disease (SVD) throughout its course. OBJECTIVE In this review, the novel imaging methods, both structural and metabolic, were summarized and their impact on the diagnostic workup of age-related CVD was analysed. Methods: An electronic search between January 2010 and 2017 was carried out on PubMed/MEDLINE, Institute for Scientific Information Web of Knowledge and EMBASE. RESULTS The use of full functional multimodality in simultaneous Magnetic Resonance (MR)/Positron emission tomography (PET) may potentially improve the clinical characterization of VCI-VaD; for structural imaging, MRI at 3.0 T enables higher-resolution scanning with greater imaging matrices, thinner slices and more detail on the anatomical structure of vascular lesions. CONCLUSION Although the importance of most of these techniques in the clinical setting has yet to be recognized, there is great expectancy in achieving earlier and more refined therapeutic interventions for the effective management of VCI-VaD.
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Affiliation(s)
| | | | - Felipe Kenji Sudo
- Departamento de Psicologia, Pontifícia Universidade Católica do Rio de Janeiro, RJ, Brazil
- Instituto D'Or de Ensino e Pesquisa, Rio de Janeiro, RJ, Brazil
| | - Lucas Briand
- Departamento de Medicina Interna, Universidade Federal do Ceará, CE, Brazil
| | - Jerson Laks
- Instituto de Psiquiatria, Universidade Federal do Rio de Janeiro, RJ, Brazil
- Programa de Pós-Graduação em Biomedicina Translacional (BIOTRANS), Unigranrio, Duque de Caxias, RJ, Brazil
| | - Eliasz Engelhardt
- Setor de Neurologia Cognitiva e do Comportamento, Instituto de Neurologia Deolindo Couto (INDC-CDA/IPUB), Rio de Janeiro, RJ, Brazil
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Hesse S, Müller U, Rullmann M, Luthardt J, Bresch A, Becker GA, Zientek F, Patt M, Meyer PM, Blüher M, Strauß M, Fenske W, Hankir M, Ding YS, Hilbert A, Sabri O. The association between in vivo central noradrenaline transporter availability and trait impulsivity. Psychiatry Res Neuroimaging 2017; 267:9-14. [PMID: 28675825 DOI: 10.1016/j.pscychresns.2017.06.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 06/19/2017] [Accepted: 06/21/2017] [Indexed: 11/30/2022]
Abstract
The brain noradrenaline (NA) system, particularly NA transporters (NAT), are thought to play an important role in modulating impulsive behavior. Impaired impulsivity is implicated in a variety of neuropsychiatric conditions; however, an in vivo link between central NAT availability and human impulsivity has not been shown. Using positron emission tomography (PET) and S,S-[11C]O-methylreboxetine (MRB), we tested whether NAT availability is associated with this basic behavioral trait based on the Barratt Impulsiveness Scale (BIS-11) in twenty healthy individuals (12 females, 33.8±9.3, 21-52 years of age) with a body mass index (BMI) ranging from 21.7kg/m2 to 47.8kg/m2. Applying both voxel-wise and volume-of-interest (VOI) based analyses, we found that distribution volume ratios (DVR) used as PET outcome measures negatively correlated with BIS-11 total scores in the orbitofrontal cortex (OFC) and in the hippocampus as well as in parts of the cerebellar cortex. These associations however did not remain after correction for multiple testing. Thus, although it appears that low NAT availability is associated with greater scores of impaired behavioral control, this needs to be confirmed in a larger series of individuals with highly impulsive behavior.
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Affiliation(s)
- Swen Hesse
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany; Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany.
| | - Ulrich Müller
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge Downing Street, Cambridge CB2 3EB, UK
| | - Michael Rullmann
- Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Julia Luthardt
- Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Anke Bresch
- Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Georg-Alexander Becker
- Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Franziska Zientek
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany; Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Philipp M Meyer
- Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
| | - Matthias Blüher
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany; Department of Internal Medicine, University of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
| | - Maria Strauß
- Department of Psychiatry and Psychotherapy, University of Leipzig, Semmelweisstraße 10, 04103 Leipzig, Germany
| | - Wiebke Fenske
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany; Department of Internal Medicine, University of Leipzig, Liebigstraße 20, 04103 Leipzig, Germany
| | - Mohammed Hankir
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany
| | - Yu-Shin Ding
- Departments of Radiology and Psychiatry, New York University School of Medicine, 550 1st Avenue, New York 10016, USA
| | - Anja Hilbert
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany; Department of Medical Psychology and Medical Sociology and Department of Psychosomatic Medicine and Psychotherapy, University of Leipzig, Philipp-Rosenthal-Straße 55, 04103 Leipzig, Germany
| | - Osama Sabri
- Integrated Treatment and Research Centre (IFB) AdiposityDiseases, Leipzig University Medical Centre, Liebigstraße 20, 04103 Leipzig, Germany; Department of Nuclear Medicine, University of Leipzig, Liebigstraße 18, 04103 Leipzig, Germany
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