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Bollack A, Collij LE, García DV, Shekari M, Altomare D, Payoux P, Dubois B, Grau-Rivera O, Boada M, Marquié M, Nordberg A, Walker Z, Scheltens P, Schöll M, Wolz R, Schott JM, Gismondi R, Stephens A, Buckley C, Frisoni GB, Hanseeuw B, Visser PJ, Vandenberghe R, Drzezga A, Yaqub M, Boellaard R, Gispert JD, Markiewicz P, Cash DM, Farrar G, Barkhof F. Investigating reliable amyloid accumulation in Centiloids: Results from the AMYPAD Prognostic and Natural History Study. Alzheimers Dement 2024. [PMID: 38574374 DOI: 10.1002/alz.13761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 04/06/2024]
Abstract
INTRODUCTION To support clinical trial designs focused on early interventions, our study determined reliable early amyloid-β (Aβ) accumulation based on Centiloids (CL) in pre-dementia populations. METHODS A total of 1032 participants from the Amyloid Imaging to Prevent Alzheimer's Disease-Prognostic and Natural History Study (AMYPAD-PNHS) and Insight46 who underwent [18F]flutemetamol, [18F]florbetaben or [18F]florbetapir amyloid-PET were included. A normative strategy was used to define reliable accumulation by estimating the 95th percentile of longitudinal measurements in sub-populations (NPNHS = 101/750, NInsight46 = 35/382) expected to remain stable over time. The baseline CL threshold that optimally predicts future accumulation was investigated using precision-recall analyses. Accumulation rates were examined using linear mixed-effect models. RESULTS Reliable accumulation in the PNHS was estimated to occur at >3.0 CL/year. Baseline CL of 16 [12,19] best predicted future Aβ-accumulators. Rates of amyloid accumulation were tracer-independent, lower for APOE ε4 non-carriers, and for subjects with higher levels of education. DISCUSSION Our results support a 12-20 CL window for inclusion into early secondary prevention studies. Reliable accumulation definition warrants further investigations.
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Affiliation(s)
- Ariane Bollack
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, London, UK
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden
- Amsterdam Neuroscience, Brain Imaging, VU University Amsterdam, Amsterdam, The Netherlands
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Instituto de investigaciones médicas Hospital del Mar (IMIM), Barcelona, Spain
| | - Daniele Altomare
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Pierre Payoux
- Department of Nuclear Medicine, Imaging Pole, Toulouse University Hospital, Toulouse, France
- Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, CHU Purpan, Pavillon Baudot, Place du Docteur Joseph Baylac, Toulouse, France
| | - Bruno Dubois
- Department of Neurology, Salpêtrière Hospital, AP-HP, Sorbonne University, Paris, France
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona - Universitat Internacional de Catalunya, Barcelona, Spain
- CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, National Institute of Health Carlos III, Madrid, Spain
| | - Agneta Nordberg
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Zuzana Walker
- Division of Psychiatry, University College London, London, UK
- Essex Partnership University NHS Foundation Trust, The Lodge, Wickford, UK
| | - Philip Scheltens
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Alzheimercentrum Amsterdam, Amsterdam, The Netherlands
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine, The University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | | | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | | | | | | | - Giovanni B Frisoni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Bernard Hanseeuw
- Department of Neurology, Institute of Neuroscience, Université Catholique de Louvain, Cliniques Universitaires Saint-Luc, Brussels, Belgium
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
- WELBIO Department, WEL Research Institute, Wavre, Belgium
| | - Pieter Jelle Visser
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, LBI - KU Leuven Brain Institute, Leuven, Belgium
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital Cologne, Universitätsklinikums Köln, Köln, Germany
- Molecular Organization of the Brain, Institute for Neuroscience and Medicine, INM-2), Forschungszentrum Jülich GmbH, Jülich, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Madrid, Spain
| | - Pawel Markiewicz
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, London, UK
- Computer Science and Informatics, School of Engineering, London South Bank University, London, UK
| | - David M Cash
- Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute at University College London, London, UK
| | | | - Frederik Barkhof
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, The Netherlands
- Queen Square Institute of Neurology, University College London, London, UK
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2
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Bader I, Bader I, Lopes Alves I, Vállez García D, Vellas B, Dubois B, Boada M, Marquié M, Altomare D, Scheltens P, Vandenberghe R, Hanseeuw B, Schöll M, Frisoni GB, Jessen F, Nordberg A, Kivipelto M, Ritchie CW, Grau-Rivera O, Molinuevo JL, Ford L, Stephens A, Gismondi R, Gispert JD, Farrar G, Barkhof F, Visser PJ, Collij LE. Recruitment of pre-dementia participants: main enrollment barriers in a longitudinal amyloid-PET study. Alzheimers Res Ther 2023; 15:189. [PMID: 37919783 PMCID: PMC10621165 DOI: 10.1186/s13195-023-01332-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 10/13/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND The mismatch between the limited availability versus the high demand of participants who are in the pre-dementia phase of Alzheimer's disease (AD) is a bottleneck for clinical studies in AD. Nevertheless, potential enrollment barriers in the pre-dementia population are relatively under-reported. In a large European longitudinal biomarker study (the AMYPAD-PNHS), we investigated main enrollment barriers in individuals with no or mild symptoms recruited from research and clinical parent cohorts (PCs) of ongoing observational studies. METHODS Logistic regression was used to predict study refusal based on sex, age, education, global cognition (MMSE), family history of dementia, and number of prior study visits. Study refusal rates and categorized enrollment barriers were compared between PCs using chi-squared tests. RESULTS 535/1856 (28.8%) of the participants recruited from ongoing studies declined participation in the AMYPAD-PNHS. Only for participants recruited from clinical PCs (n = 243), a higher MMSE-score (β = - 0.22, OR = 0.80, p < .05), more prior study visits (β = - 0.93, OR = 0.40, p < .001), and positive family history of dementia (β = 2.08, OR = 8.02, p < .01) resulted in lower odds on study refusal. General study burden was the main enrollment barrier (36.1%), followed by amyloid-PET related burden (PCresearch = 27.4%, PCclinical = 9.0%, X2 = 10.56, p = .001), and loss of research interest (PCclinical = 46.3%, PCresearch = 16.5%, X2 = 32.34, p < .001). CONCLUSIONS The enrollment rate for the AMYPAD-PNHS was relatively high, suggesting an advantage of recruitment via ongoing studies. In this observational cohort, study burden reduction and tailored strategies may potentially improve participant enrollment into trial readiness cohorts such as for phase-3 early anti-amyloid intervention trials. The AMYPAD-PNHS (EudraCT: 2018-002277-22) was approved by the ethical review board of the VU Medical Center (VUmc) as the Sponsor site and in every affiliated site.
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Affiliation(s)
- Ilse Bader
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV, Amsterdam, The Netherlands.
| | - Ilona Bader
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
| | - Isadora Lopes Alves
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
- Brain Research Center, 1081 GN, Amsterdam, The Netherlands
| | - David Vállez García
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
| | - Bruno Vellas
- Gérontopole of Toulouse, University Hospital of Toulouse (CHU-Toulouse), 31300, Toulouse, France
- UMR INSERM 1027, University of Toulouse III, 31062, Toulouse, France
| | - Bruno Dubois
- Institute of Memory and Alzheimer's Disease (IM2A) and Brain Institute, Salpetriere Hospital, Sorbonne University, 75013, Paris, France
| | - Mercè Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), 08028, Barcelona, Spain
- Networking Research Center On Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Marta Marquié
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya (UIC), 08028, Barcelona, Spain
- Networking Research Center On Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Daniele Altomare
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, 25123, Brescia, Italy
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV, Amsterdam, The Netherlands
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, 3001, Louvain, Belgium
| | - Bernard Hanseeuw
- Institute of Neuroscience, Université Catholique de Louvain, 1200, Brussels, Belgium
- Department of Neurology, Clinique Universitaires Saint-Luc, 1200, Brussels, Belgium
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, 02155, USA
- WELBIO Department, WEL Research Institute, Avenue Pasteur, 6, 1300, Wavre, Belgium
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, 405 30, Gothenburg, Sweden
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30, Gothenburg, Sweden
- Dementia Research Centre, Queen Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Giovanni B Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, 1205, Geneva, Switzerland
- Geneva Memory Center, Geneva University Hospitals, 1205, Geneva, Switzerland
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), 53127, Bonn, Germany
| | - Agneta Nordberg
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, 171 77, Stockholm, Sweden
- Theme Inflammation, Karolinska University Hospital, Stockholm, 171 77, Sweden
- Theme Aging, Karolinska University Hospital, Stockholm, 171 77, Sweden
| | - Miia Kivipelto
- Kuopio University Hospital, 70210, Kuopio, Finland
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet, 171 77, Stockholm, Sweden
- Imperial College London, London, SW7 2AZ, UK
| | | | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005, Barcelona, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005, Barcelona, Spain
- H. Lundbeck A/S, 2500, Copenhagen, Denmark
| | - Lisa Ford
- Janssen Research and Development, Titusville, NJ, 08560, USA
| | | | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, 08005, Barcelona, Spain
| | - Gill Farrar
- GE Healthcare, Pharmaceutical Diagnostics, Amersham, HP7 9LL, UK
| | - Frederik Barkhof
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
- Institutes of Neurology and Healthcare Engineering, UCL, London, WC1N 3BG, UK
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Lyduine E Collij
- Radiology & Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, 1081 HZ, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, 1081 HV, The Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences, Lund University, 221 00, Malmö, Sweden
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3
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Padrela BE, Lorenzini L, Collij LE, García DV, Coomans E, Ingala S, Tomassen J, Deckers Q, Shekari M, de Geus EJC, van de Giessen E, Kate MT, Visser PJ, Barkhof F, Petr J, den Braber A, Mutsaerts HJMM. Genetic, vascular and amyloid components of cerebral blood flow in a preclinical population. J Cereb Blood Flow Metab 2023; 43:1726-1736. [PMID: 37231665 PMCID: PMC10581242 DOI: 10.1177/0271678x231178993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 04/05/2023] [Accepted: 04/09/2023] [Indexed: 05/27/2023]
Abstract
Aging-related cognitive decline can be accelerated by a combination of genetic factors, cardiovascular and cerebrovascular dysfunction, and amyloid-β burden. Whereas cerebral blood flow (CBF) has been studied as a potential early biomarker of cognitive decline, its normal variability in healthy elderly is less known. In this study, we investigated the contribution of genetic, vascular, and amyloid-β components of CBF in a cognitively unimpaired (CU) population of monozygotic older twins. We included 134 participants who underwent arterial spin labeling (ASL) MRI and [18F]flutemetamol amyloid-PET imaging at baseline and after a four-year follow-up. Generalized estimating equations were used to investigate the associations of amyloid burden and white matter hyperintensities with CBF. We showed that, in CU individuals, CBF: 1) has a genetic component, as within-pair similarities in CBF values were moderate and significant (ICC > 0.40); 2) is negatively associated with cerebrovascular damage; and 3) is positively associated with the interaction between cardiovascular risk scores and early amyloid-β burden, which may reflect a vascular compensatory response of CBF to early amyloid-β accumulation. These findings encourage future studies to account for multiple interactions with CBF in disease trajectory analyses.
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Affiliation(s)
- Beatriz E Padrela
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Emma Coomans
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Jori Tomassen
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Quinten Deckers
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mahnaz Shekari
- BBRC: Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
- Pompeu Fabra University, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Eco JC de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elsmarieke van de Giessen
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Mara ten Kate
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Alzheimer Center Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing (CMIC), University College London, London, UK
| | - Jan Petr
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany
| | - Anouk den Braber
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henk JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Brain Imaging, Amsterdam, the Netherlands
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4
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Orso B, Mattioli P, Yoon EJ, Kim YK, Kim H, Shin JH, Kim R, Liguori C, Famà F, Donniaquio A, Massa F, García DV, Meles SK, Leenders KL, Chiaravalloti A, Pardini M, Bauckneht M, Morbelli S, Nobili F, Lee JY, Arnaldi D. Validation of the REM behaviour disorder phenoconversion-related pattern in an independent cohort. Neurol Sci 2023; 44:3161-3168. [PMID: 37140829 PMCID: PMC10415520 DOI: 10.1007/s10072-023-06829-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 04/23/2023] [Indexed: 05/05/2023]
Abstract
BACKGROUND A brain glucose metabolism pattern related to phenoconversion in patients with idiopathic/isolated REM sleep behaviour disorder (iRBDconvRP) was recently identified. However, the validation of the iRBDconvRP in an external, independent group of iRBD patients is needed to verify the reproducibility of such pattern, so to increase its importance in clinical and research settings. The aim of this work was to validate the iRBDconvRP in an independent group of iRBD patients. METHODS Forty iRBD patients (70 ± 5.59 years, 19 females) underwent brain [18F]FDG-PET in Seoul National University. Thirteen patients phenoconverted at follow-up (7 Parkinson disease, 5 Dementia with Lewy bodies, 1 Multiple system atrophy; follow-up time 35 ± 20.56 months) and 27 patients were still free from parkinsonism/dementia after 62 ± 29.49 months from baseline. We applied the previously identified iRBDconvRP to validate its phenoconversion prediction power. RESULTS The iRBDconvRP significantly discriminated converters from non-converters iRBD patients (p = 0.016; Area under the Curve 0.74, Sensitivity 0.69, Specificity 0.78), and it significantly predicted phenoconversion (Hazard ratio 4.26, C.I.95%: 1.18-15.39). CONCLUSIONS The iRBDconvRP confirmed its robustness in predicting phenoconversion in an independent group of iRBD patients, suggesting its potential role as a stratification biomarker for disease-modifying trials.
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Affiliation(s)
- Beatrice Orso
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy.
| | - Pietro Mattioli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
| | - Eun-Jin Yoon
- Memory Network Medical Research Center, Seoul National University, Seoul, South Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, Seoul National University College of Medicine and Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Heejung Kim
- Department of Nuclear Medicine, Seoul National University College of Medicine and Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Jung Hwan Shin
- Department of Neurology, Seoul National University College of Medicine, Seoul, South Korea
| | - Ryul Kim
- Department of Neurology, Inha University Hospital, Incheon, South Korea
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome 'Tor Vergata", Rome, Italy
- Sleep Medicine Center, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Francesco Famà
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Andrea Donniaquio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VuMC, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Sanne K Meles
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Klaus L Leenders
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Agostino Chiaravalloti
- IRCCS Neuromed, Pozzilli, Italy
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
- Department of Health Science (DISSAL), University of Genoa, Via Antonio Pastore 1, 16132, Genoa, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
- Department of Health Science (DISSAL), University of Genoa, Via Antonio Pastore 1, 16132, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
| | - Jee-Young Lee
- Department of Neurology, Seoul National University College of Medicine and Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Largo Daneo 3, 16132, Genoa, Italy
- IRCCS Ospedale Policlinico S. Martino, Largo Rosanna Benzi 10, 16132, Genoa, Italy
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Mattioli P, Orso B, Liguori C, Famà F, Giorgetti L, Donniaquio A, Massa F, Giberti A, Vállez García D, Meles SK, Leenders KL, Placidi F, Spanetta M, Chiaravalloti A, Camedda R, Schillaci O, Izzi F, Mercuri NB, Pardini M, Bauckneht M, Morbelli S, Nobili F, Arnaldi D. Derivation and Validation of a Phenoconversion-Related Pattern in Idiopathic Rapid Eye Movement Behavior Disorder. Mov Disord 2023; 38:57-67. [PMID: 36190111 PMCID: PMC10092506 DOI: 10.1002/mds.29236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/27/2022] [Accepted: 09/06/2022] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Idiopathic rapid eye movement sleep behavior disorder (iRBD) represents the prodromal stage of α-synucleinopathies. Reliable biomarkers are needed to predict phenoconversion. OBJECTIVE The aim was to derive and validate a brain glucose metabolism pattern related to phenoconversion in iRBD (iRBDconvRP) using spatial covariance analysis (Scaled Subprofile Model and Principal Component Analysis [SSM-PCA]). METHODS Seventy-six consecutive iRBD patients (70 ± 6 years, 15 women) were enrolled in two centers and prospectively evaluated to assess phenoconversion (30 converters, 73 ± 6 years, 14 Parkinson's disease and 16 dementia with Lewy bodies, follow-up time: 21 ± 14 months; 46 nonconverters, 69 ± 6 years, follow-up time: 33 ± 19 months). All patients underwent [18 F]FDG-PET (18 F-fluorodeoxyglucose positron emitting tomography) to investigate brain glucose metabolism at baseline. SSM-PCA was applied to obtain the iRBDconvRP; nonconverter patients were considered as the reference group. Survival analysis and Cox regression were applied to explore prediction power. RESULTS First, we derived and validated two distinct center-specific iRBDconvRP that were comparable and significantly able to predict phenoconversion. Then, SSM-PCA was applied to the whole set, identifying the iRBDconvRP. The iRBDconvRP included positive voxel weights in cerebellum; brainstem; anterior cingulate cortex; lentiform nucleus; and middle, mesial temporal, and postcentral areas. Negative voxel weights were found in posterior cingulate, precuneus, middle frontal gyrus, and parietal areas. Receiver operating characteristic analysis showed an area under the curve of 0.85 (sensitivity: 87%, specificity: 72%), discriminating converters from nonconverters. The iRBDconvRP significantly predicted phenoconversion (hazard ratio: 7.42, 95% confidence interval: 2.6-21.4). CONCLUSIONS We derived and validated an iRBDconvRP to efficiently discriminate converter from nonconverter iRBD patients. [18 F]FDG-PET pattern analysis has potential as a phenoconversion biomarker in iRBD patients. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Pietro Mattioli
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - Beatrice Orso
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy.,Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VuMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Claudio Liguori
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Sleep Medicine Center, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Francesco Famà
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico S. Martino, Genoa, Italy
| | | | - Andrea Donniaquio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - Federico Massa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - Andrea Giberti
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy
| | - David Vállez García
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VuMC, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Sanne K Meles
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Klaus L Leenders
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Fabio Placidi
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Sleep Medicine Center, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Matteo Spanetta
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Agostino Chiaravalloti
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.,IRCCS Neuromed, Pozzilli, Italy
| | - Riccardo Camedda
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy
| | - Orazio Schillaci
- Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy
| | - Francesca Izzi
- Sleep Medicine Center, Neurology Unit, University Hospital "Tor Vergata", Rome, Italy
| | - Nicola B Mercuri
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Matteo Pardini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico S. Martino, Genoa, Italy
| | - Matteo Bauckneht
- IRCCS Ospedale Policlinico S. Martino, Genoa, Italy.,Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Silvia Morbelli
- IRCCS Ospedale Policlinico S. Martino, Genoa, Italy.,Department of Health Science (DISSAL), University of Genoa, Genoa, Italy
| | - Flavio Nobili
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico S. Martino, Genoa, Italy
| | - Dario Arnaldi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Clinical Neurology, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico S. Martino, Genoa, Italy
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6
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Shekari M, García DV, Collij LE, Heeman F, Roé‐Vellvé N, Bullich S, Buckley C, Barkhof F, Farrar G, Pemberton H, Gispert JD. Evaluating the sensitivity of Centiloid quantification to pipeline design and image resoloution. Alzheimers Dement 2022. [DOI: 10.1002/alz.062330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Hospital del Mar Medical Research Institute (IMIM) Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - David Vállez García
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | - Lyduine E. Collij
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | - Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | | | | | | | - Frederik Barkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
- University College London London United Kingdom
| | - Gill Farrar
- GE Healthcare, Pharmaceutical Diagnostics Amersham United Kingdom
| | - Hugh Pemberton
- Institute of Neurology and Centre for Medical Image Computing, University College London London United Kingdom
- GE Healthcare Pharmaceutical Diagnostics Amersham United Kingdom
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
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7
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Weatheritt J, Peraza LR, García DV, Collij LE, Gispert JD, Barkhof F, Wink AM, Wolz R. Trial Enrichment using Siamese Neural Networks and PET imaging. Alzheimers Dement 2022. [DOI: 10.1002/alz.065358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | - David Vállez García
- Department of Radiology & Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam Netherlands
| | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | | | - Alle Meije Wink
- Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam Netherlands
| | - Robin Wolz
- IXICO London United Kingdom
- Imperial College London London United Kingdom
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8
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Wink AM, Shekari M, Dicks E, Collij LE, Salvadó G, García DV, Gispert JD, Tijms BM, Alves IL, Yaqub M, Barkhof F. Quantifying AD‐related brain amyloid with linearised progression models: model‐based vs. data‐based. Alzheimers Dement 2022. [DOI: 10.1002/alz.061452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Alle Meije Wink
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | | | | | - Gemma Salvadó
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | - David Vállez García
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc Amsterdam Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | - Betty M. Tijms
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Isadora Lopes Alves
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center Amsterdam Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London London United Kingdom
- On behalf of the AMYPAD consortium Brussels Belgium
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9
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Shekari M, García DV, Collij LE, Heeman F, Roé‐Vellvé N, Bullich S, Buckley C, Barkhof F, Farrar G, Pemberton H, Gispert JD. Evaluating the sensitivity of Centiloid quantification to pipeline design and image resolution. Alzheimers Dement 2022. [DOI: 10.1002/alz.067896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Mahnaz Shekari
- Hospital del Mar Medical Research Institute (IMIM) Barcelona Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - David Vállez García
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | - Lyduine E. Collij
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | - Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | | | | | | | - Frederik Barkhof
- Institute of Neurology and Centre for Medical Image Computing, University College London London United Kingdom
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Gill Farrar
- GE Healthcare, Pharmaceutical Diagnostics Amersham United Kingdom
| | - Hugh Pemberton
- Institute of Neurology and Centre for Medical Image Computing, University College London London United Kingdom
- GE Healthcare Pharmaceutical Diagnostics Amersham United Kingdom
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
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10
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Lorenzini L, Orso B, García DV, Pontillo G, Ingala S, Haller S, Blennow K, Frisoni GB, Chetelat G, Payoux P, Martinez‐Lage P, Ewers M, Waldman A, Ritchie CW, Gispert JD, Visser PJ, Mutsaerts H, Tijms BM, Wink AM, Barkhof F. Concerted alterations of functional connectivity and WM integrity in relationship to early amyloid deposition. Alzheimers Dement 2022. [DOI: 10.1002/alz.063910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Beatrice Orso
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VuMC, Vijre Universiteit Amsterdam Amsterdam Netherlands
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa Genova Italy
| | - David Vállez García
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc Amsterdam Netherlands
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University “Federico II” Naples Italy
- Department of Electrical Engineering and Information Technology, University of Naples “Federico II” Naples Italy
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sven Haller
- University of Geneva, Faculty of Medicine Geneva Switzerland
- Uppsala University Uppsala Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
| | - Giovanni B Frisoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals Geneva Switzerland
| | - Gael Chetelat
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie, Cyceron Caen France
| | | | | | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Adam Waldman
- Imperial College London London United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Craig W. Ritchie
- Centre for Dementia Prevention at the University of Edinburgh Edinburgh United Kingdom
| | - Juan Domingo Gispert
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina Madrid Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Pieter Jelle Visser
- Alzheimer Centrum Limburg, Maastricht University Maastricht Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience Campus, VU University Medical Center Amsterdam Netherlands
| | - Henk‐Jan Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University Ghent Belgium
| | - Betty M. Tijms
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- UCL Institute of Neurology London United Kingdom
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11
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García DV, Collij LE, Mastenbroek SE, Alves IL, Gispert JD, Ritchie CW, Boada M, Marquié M, Grau‐Rivera O, Fauria K, Scheltens P, Vandenberghe R, Hanseeuw BJ, Schöll M, Frisoni GB, Boecker H, Jessen F, Wolz R, Grootoonk S, Stephens AW, Buckley CJ, Ford L, Visser PJ, Farrar G, Barkhof F. First results of the AMYPAD Prognostic and Natural History Study: amyloid‐PET Centiloid predicts cognitive functioning in a pre‐dementia population. Alzheimers Dement 2022. [DOI: 10.1002/alz.067114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | - Sophie E Mastenbroek
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Radiology and Nuclear Medicine, De Boelelaan 1117 Amsterdam Netherlands
| | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | | | - Mercè Boada
- Fundació ACE. Barcelona Alzheimer Treatment & Research Center Barcelona Spain
| | - Marta Marquié
- Fundació ACE. Barcelona Alzheimer Treatment & Research Center Barcelona Spain
| | - Oriol Grau‐Rivera
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | | | | | | | | | | | - Henning Boecker
- German Center for Neurodegenerative Diseases (DZNE) Bonn Germany
| | | | | | | | | | | | - Lisa Ford
- Janssen Research and Development Titusville NJ USA
| | | | - Gill Farrar
- GE Healthcare, Pharmaceutical Diagnostics Amersham United Kingdom
| | - Frederik Barkhof
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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12
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Sala A, Gispert JD, Salvadó G, Shekari M, Bucci M, Collij LE, García DV, Garibotto V, Barkhof F, Nordberg AK, Rodriguez‐Vieitez E. Validation of a continuous model of amyloid‐β CSF/PET discordance across cohorts and PET tracers. Alzheimers Dement 2022. [DOI: 10.1002/alz.063597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Arianna Sala
- Karolinska Institutet Stockholm Sweden
- Coma Science Group, University of Liège Liège Belgium
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
| | - Marco Bucci
- Karolinska Institutet Stockholm Sweden
- Theme Inflammation and Aging, Karolinska University Hospital Stockholm Sweden
| | | | | | - Valentina Garibotto
- Division of Nuclear Medicine, Geneva University Hospitals Geneva Switzerland
| | - Frederik Barkhof
- Amsterdam UMC, location VUmc Amsterdam Netherlands
- Institute of Neurology and Centre for Medical Image Computing, University College London London United Kingdom
| | - Agneta K Nordberg
- Karolinska Institutet Stockholm Sweden
- Theme Inflammation and Aging, Karolinska University Hospital Stockholm Sweden
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13
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Lorenzini L, Orso B, García DV, Pontillo G, Ingala S, Haller S, Blennow K, Frisoni GB, Chetelat G, Payoux P, Martinez‐Lage P, Ewers M, Waldman A, Ritchie CW, Gispert JD, Visser PJ, Mutsaerts HJMM, Tijms BM, Wink AM, Barkhof F. Concerted alterations of functional connectivity and WM integrity in relationship to early amyloid deposition. Alzheimers Dement 2022. [DOI: 10.1002/alz.064588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Beatrice Orso
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location VuMC, Vijre Universiteit Amsterdam Amsterdam Netherlands
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa Genova Italy
| | - David Vállez García
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, location VUmc Amsterdam Netherlands
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University “Federico II” Naples Italy
- Department of Electrical Engineering and Information Technology, University of Naples “Federico II” Naples Italy
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Sven Haller
- University of Geneva, Faculty of Medicine Geneva Switzerland
- Uppsala University Uppsala Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal Sweden
| | - Giovanni B Frisoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia Italy
- Geneva Memory Center, Department of Rehabilitation and Geriatrics, Geneva University Hospitals Geneva Switzerland
| | - Gael Chetelat
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen‐Normandie, Cyceron Caen France
| | - Pierre Payoux
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
- INSERM, Imagerie cérébrale et handicaps neurologiques Toulouse France
| | | | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE) Munich Germany
| | - Adam Waldman
- Imperial College London London United Kingdom
- Centre for Clinical Brain Sciences, The University of Edinburgh Edinburgh United Kingdom
| | - Craig W. Ritchie
- Centre for Dementia Prevention at the University of Edinburgh Edinburgh United Kingdom
| | - Juan Domingo Gispert
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina Madrid Spain
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
- Universitat Pompeu Fabra Barcelona Spain
| | - Pieter Jelle Visser
- Alzheimer Centrum Limburg, Maastricht University Maastricht Netherlands
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience Campus, VU University Medical Center Amsterdam Netherlands
| | - Henri JMM Mutsaerts
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Ghent Institute for Functional and Metabolic Imaging (GIfMI), Ghent University Ghent Belgium
| | - Betty M. Tijms
- Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Alle Meije Wink
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | - Frederik Barkhof
- Institutes of Neurology and Healthcare Engineering, University College London London United Kingdom
- Department of Computer Science and Centre for Medical Image Computing, University College London London United Kingdom
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14
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Somasundaram A, Vállez García D, Pfaehler E, van Sluis J, Dierckx RAJO, de Vries EGE, Boellaard R. Mitigation of noise-induced bias of PET radiomic features. PLoS One 2022; 17:e0272643. [PMID: 36006959 PMCID: PMC9409510 DOI: 10.1371/journal.pone.0272643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 07/22/2022] [Indexed: 11/20/2022] Open
Abstract
Introduction One major challenge in PET radiomics is its sensitivity to noise. Low signal-to-noise ratio (SNR) affects not only the precision but also the accuracy of quantitative metrics extracted from the images resulting in noise-induced bias. This phantom study aims to identify the radiomic features that are robust to noise in terms of precision and accuracy and to explore some methods that might help to correct noise-induced bias. Methods A phantom containing three 18F-FDG filled 3D printed inserts, reflecting heterogeneous tracer uptake and realistic tumor shapes, was used in the study. The three different phantom inserts were filled and scanned with three different tumor-to-background ratios, simulating a total of nine different tumors. From the 40-minute list-mode data, ten frames each for 5 s, 10 s, 30 s, and 120 s frame duration were reconstructed to generate images with different noise levels. Under these noise conditions, the precision and accuracy of the radiomic features were analyzed using intraclass correlation coefficient (ICC) and similarity distance metric (SDM) respectively. Based on the ICC and SDM values, the radiomic features were categorized into four groups: poor, moderate, good, and excellent precision and accuracy. A “difference image” created by subtracting two statistically equivalent replicate images was used to develop a model to correct the noise-induced bias. Several regression methods (e.g., linear, exponential, sigmoid, and power-law) were tested. The best fitting model was chosen based on Akaike information criteria. Results Several radiomic features derived from low SNR images have high repeatability, with 68% of radiomic features having ICC ≥ 0.9 for images with a frame duration of 5 s. However, most features show a systematic bias that correlates with the increase in noise level. Out of 143 features with noise-induced bias, the SDM values were improved based on a regression model (53 features to excellent and 67 to good) indicating that the noise-induced bias of these features can be, at least partially, corrected. Conclusion To have a predictive value, radiomic features should reflect tumor characteristics and be minimally affected by noise. The present study has shown that it is possible to correct for noise-induced bias, at least in a subset of the features, using a regression model based on the local image noise estimates.
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Affiliation(s)
- Ananthi Somasundaram
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
- * E-mail:
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC–Location VU University Medical Center, Amsterdam, The Netherlands
| | - Elisabeth Pfaehler
- Department of Nuclear Medicine, University Hospital Juelich, Aachen, Germany
| | - Joyce van Sluis
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Rudi A. J. O. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Elisabeth G. E. de Vries
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC–Location VU University Medical Center, Amsterdam, The Netherlands
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15
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Peretti DE, Vállez García D, Renken RJ, Reesink FE, Doorduin J, de Jong BM, De Deyn PP, Dierckx RAJO, Boellaard R. Alzheimer's disease pattern derived from relative cerebral flow as an alternative for the metabolic pattern using SSM/PCA. EJNMMI Res 2022; 12:37. [PMID: 35737201 PMCID: PMC9226207 DOI: 10.1186/s13550-022-00909-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/15/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND 2-Deoxy-2-[18F]fluoroglucose (FDG) PET is an important tool for the identification of Alzheimer's disease (AD) patients through the characteristic neurodegeneration pattern that these patients present. Regional cerebral blood flow (rCBF) images derived from dynamic 11C-labelled Pittsburgh Compound B (PIB) have been shown to present a similar pattern as FDG. Moreover, multivariate analysis techniques, such as scaled subprofile modelling using principal component analysis (SSM/PCA), can be used to generate disease-specific patterns (DP) that may aid in the classification of subjects. Therefore, the aim of this study was to compare rCBF AD-DPs with FDG AD-DP and their respective performances. Therefore, 52 subjects were included in this study. Fifteen AD and 16 healthy control subjects were used to generate four AD-DP: one based on relative cerebral trace blood (R1), two based on time-weighted average of initial frame intervals (ePIB), and one based on FDG images. Furthermore, 21 subjects diagnosed with mild cognitive impairment were tested against these AD-DPs. RESULTS In general, the rCBF and FDG AD-DPs were characterized by a reduction in cortical frontal, temporal, and parietal lobes. FDG and rCBF methods presented similar score distribution. CONCLUSION rCBF images may provide an alternative for FDG PET scans for the identification of AD patients through SSM/PCA.
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Affiliation(s)
- Débora E Peretti
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Remco J Renken
- Department of Biomedical Sciences of Cells and Systems, Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Fransje E Reesink
- Department of Neurology, Alzheimer Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bauke M de Jong
- Department of Neurology, Alzheimer Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Peter P De Deyn
- Department of Neurology, Alzheimer Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Laboratory of Neurochemistry and Behaviour, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. .,Department of Radiology and Nuclear Medicine, Location VU Medical Center, Amsterdam University Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
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16
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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17
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Lorenzini L, Ansems LT, Lopes Alves I, Ingala S, Vállez García D, Tomassen J, Sudre C, Salvadó G, Shekari M, Operto G, Brugulat-Serrat A, Sánchez-Benavides G, ten Kate M, Tijms B, Wink AM, Mutsaerts HJMM, den Braber A, Visser PJ, van Berckel BNM, Gispert JD, Barkhof F, Collij LE, Beteta A, Brugulat A, Cacciaglia R, Cañas A, Deulofeu C, Cumplido I, Dominguez R, Emilio M, Fauria K, Fuentes S, Hernandez L, Huesa G, Huguet J, Marne P, Menchón T, Polo A, Pradas S, Rodriguez-Fernandez B, Sala-Vila A, Sánchez-Benavides G, Soteras A, Vilanova M. Regional associations of white matter hyperintensities and early cortical amyloid pathology. Brain Commun 2022; 4:fcac150. [PMID: 35783557 PMCID: PMC9246276 DOI: 10.1093/braincomms/fcac150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/11/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer’s disease. While spatial distribution of both amyloid and WM lesions carry important information for the underlying pathogenic mechanisms, the regional relationship between these two pathologies and their joint contribution to early cognitive deterioration remains largely unexplored.
We included 662 non-demented participants from three Amyloid Imaging to Prevent Alzheimer’s disease (AMYPAD)-affiliated cohorts: EPAD-LCS (N = 176), ALFA+ (N = 310), and EMIF-AD PreclinAD Twin60++ (N = 176). Using PET imaging, cortical amyloid burden was assessed regionally within early accumulating regions (medial orbitofrontal, precuneus, and cuneus) and globally, using the Centiloid method. Regional WMH volume was computed using Bayesian Model Selection. Global associations between WMH, amyloid, and cardiovascular risk scores (Framingham and CAIDE) were assessed using linear models. Partial least square (PLS) regression was used to identify regional associations. Models were adjusted for age, sex, and APOE-e4 status. Individual PLS scores were then related to cognitive performance in 4 domains (attention, memory, executive functioning, and language).
While no significant global association was found, the PLS model yielded two components of interest. In the first PLS component, a fronto-parietal WMH pattern was associated with medial orbitofrontal–precuneal amyloid, vascular risk, and age. Component 2 showed a posterior WMH pattern associated with precuneus-cuneus amyloid, less related to age or vascular risk. Component 1 was associated with lower performance in all cognitive domains, while component 2 only with worse memory.
In a large pre-dementia population, we observed two distinct patterns of regional associations between WMH and amyloid burden, and demonstrated their joint influence on cognitive processes. These two components could reflect the existence of vascular-dependent and -independent manifestations of WMH-amyloid regional association that might be related to distinct primary pathophysiology.
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Affiliation(s)
- Luigi Lorenzini
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Loes T Ansems
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Isadora Lopes Alves
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Silvia Ingala
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - David Vállez García
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Jori Tomassen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
| | - Carole Sudre
- Centre for Medical Image Computing (CMIC), Departments of Medical Physics & Biomedical Engineering and Computer Science, University College London , UK
- MRC Unit for Lifelong Health and Ageing - University College London , UK
- School of Biomedical Engineering , King’s College London UK
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
| | - Mahnaz Shekari
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Universitat Pompeu Fabra , Barcelona , Spain
| | - Gregory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES) , Madrid , Spain
| | - Anna Brugulat-Serrat
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES) , Madrid , Spain
- Atlantic Fellow for Equity in Brain Health at the University of California San Francisco , SanFrancisco, California , USA
| | - Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Centro de Investigación Biomédica en Red de Fragilidad Y Envejecimiento Saludable (CIBERFES) , Madrid , Spain
| | - Mara ten Kate
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
| | - Betty Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
| | - Alle Meije Wink
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Henk J M M Mutsaerts
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Anouk den Braber
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
- Department. of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Amsterdam , Amsterdam , The Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC , Amsterdam , The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University , Maastricht , The Netherlands
| | - Bart N M van Berckel
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation , Barcelona , Spain
- IMIM (Hospital del Mar Medical Research Institute) , Barcelona , Spain
- Universitat Pompeu Fabra , Barcelona , Spain
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales Y Nanomedicina , Madrid , Spain
| | - Frederik Barkhof
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London , London , UK
| | - Lyduine E Collij
- Dept. of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam Neuroscience , Amsterdam , The Netherlands
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Stormezand GN, Doorduin J, Rakers SE, Spikman JM, van der Naalt J, García DV, van der Hoorn A, van der Weijden CWJ, Kremer BPH, Renken RJ, Dierckx RAJO. Correction to: Imaging of neuroinflammation due to repetitive head injury in currently active kickboxers. Eur J Nucl Med Mol Imaging 2022; 49:2103. [PMID: 35274167 DOI: 10.1007/s00259-022-05737-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Gilles N Stormezand
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Sandra E Rakers
- Department of Clinical Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jacoba M Spikman
- Department of Clinical Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Joukje van der Naalt
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Anouk van der Hoorn
- Department of Radiology, Medical Imaging Center, University of Groningen, University Medical Center, Groningen, Groningen, The Netherlands
| | - Chris W J van der Weijden
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Berry P H Kremer
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Remco J Renken
- Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
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19
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Somasundaram A, García DV, Pfaehler E, Jauw YWS, Zijlstra JM, van Dongen GAMS, Menke-van der Houven van Oordt WC, Huisman MC, de Vries EGE, Boellaard R. Noise sensitivity of 89Zr-Immuno-PET radiomics based on count-reduced clinical images. EJNMMI Phys 2022; 9:16. [PMID: 35239050 PMCID: PMC8894530 DOI: 10.1186/s40658-022-00444-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 02/10/2022] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Low photon count in 89Zr-Immuno-PET results in images with a low signal-to-noise ratio (SNR). Since PET radiomics are sensitive to noise, this study focuses on the impact of noise on radiomic features from 89Zr-Immuno-PET clinical images. We hypothesise that 89Zr-Immuno-PET derived radiomic features have: (1) noise-induced variability affecting their precision and (2) noise-induced bias affecting their accuracy. This study aims to identify those features that are not or only minimally affected by noise in terms of precision and accuracy. METHODS Count-split 89Zr-Immuno-PET patient scans from previous studies with three different 89Zr-labelled monoclonal antibodies were used to extract radiomic features at 50% (S50p) and 25% (S25p) of their original counts. Tumour lesions were manually delineated on the original full-count 89Zr-Immuno-PET scans. Noise-induced variability and bias were assessed using intraclass correlation coefficient (ICC) and similarity distance metric (SDM), respectively. Based on the ICC and SDM values, the radiomic features were categorised as having poor [0, 0.5), moderate [0.5, 0.75), good [0.75, 0.9), or excellent [0.9, 1] precision and accuracy. The number of features classified into these categories was compared between the S50p and S25p images using Fisher's exact test. All p values < 0.01 were considered statistically significant. RESULTS For S50p, a total of 92% and 90% features were classified as having good or excellent ICC and SDM respectively, while for S25p, these decreased to 81% and 31%. In total, 148 features (31%) showed robustness to noise with good or moderate ICC and SDM in both S50p and S25p. The number of features classified into the four ICC and SDM categories between S50p and S25p was significantly different statistically. CONCLUSION Several radiomic features derived from low SNR 89Zr-Immuno-PET images exhibit noise-induced variability and/or bias. However, 196 features (43%) that show minimal noise-induced variability and bias in S50p images have been identified. These features are less affected by noise and are, therefore, suitable candidates to be further studied as prognostic and predictive quantitative biomarkers in 89Zr-Immuno-PET studies.
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Affiliation(s)
- Ananthi Somasundaram
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - Elisabeth Pfaehler
- Department of Nuclear Medicine, University Hospital Augsburg, Augsburg, Germany
| | - Yvonne W S Jauw
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands.,Department of Hematology, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - Josée M Zijlstra
- Department of Hematology, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - Guus A M S van Dongen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | | | - Marc C Huisman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
| | - Elisabeth G E de Vries
- Department of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam UMC - Location VU University Medical Center, Amsterdam, The Netherlands
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20
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Stormezand GN, Doorduin J, Rakers SE, Spikman JM, van der Naalt J, García DV, van der Hoorn A, van der Weijden CWJ, Kremer BPH, Renken RJ, Dierckx RAJO. Imaging of neuroinflammation due to repetitive head injury in currently active kickboxers. Eur J Nucl Med Mol Imaging 2022; 49:3162-3172. [PMID: 35165788 PMCID: PMC9250484 DOI: 10.1007/s00259-022-05715-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/28/2022] [Indexed: 12/02/2022]
Abstract
Purpose Chronic traumatic encephalopathy refers to a neurodegenerative disease resulting from repetitive head injury of participants in contact sports. Similar to other neurodegenerative diseases, neuroinflammation is thought to play a role in the onset and progression of the disease. Limited knowledge is available regarding the neuroinflammatory consequences of repetitive head injury in currently active contact sports athletes. PET imaging of the 18-kDa translocator protein (TSPO) allows quantification of microglial activation in vivo, a marker of neuroinflammation. Methods Eleven rank A kickboxers and 11 age-matched controls underwent TSPO PET using [11C]-PK11195, anatomical MRI, diffusion tensor imaging, and neuropsychological testing. Relevant imaging parameters were derived and correlated with the outcomes of the neuropsychological testing. Results On a group level, no statistically significant differences were detected in non-displaceable binding potential (BPND) using PET. Individually, 3 kickboxers showed increased BPNDs in widespread regions of the brain without a correlation with other modalities. Increased FA was observed in the superior corona radiata bilaterally. DTI parameters in other regions did not differ between groups. Conclusion Despite negative results on a group level, individual results suggest that neuroinflammation may be present as a consequence of repetitive head injury in active kickboxers. Future studies using a longitudinal design may determine whether the observed TSPO upregulation is related to the future development of neuropsychiatric symptoms. Supplementary Information The online version contains supplementary material available at 10.1007/s00259-022-05715-x.
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Affiliation(s)
- Gilles N Stormezand
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Sandra E Rakers
- Department of Clinical Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jacoba M Spikman
- Department of Clinical Neuropsychology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Joukje van der Naalt
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Anouk van der Hoorn
- Department of Radiology, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Chris W J van der Weijden
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
| | - Berry P H Kremer
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Remco J Renken
- Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, The Netherlands
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21
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Tuncel H, Boellaard R, Coomans EM, Hollander-Meeuwsen MD, de Vries EFJ, Glaudemans AWJM, Feltes PK, García DV, Verfaillie SCJ, Wolters EE, Sweeney SP, Ryan JM, Ivarsson M, Lynch BA, Schober P, Scheltens P, Schuit RC, Windhorst AD, De Deyn PP, van Berckel BNM, Golla SSV. Validation and test–retest repeatability performance of parametric methods for [11C]UCB-J PET. EJNMMI Res 2022; 12:3. [PMID: 35072802 PMCID: PMC8786991 DOI: 10.1186/s13550-021-00874-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/24/2021] [Indexed: 12/02/2022] Open
Abstract
[11C]UCB-J is a PET radioligand that binds to the presynaptic vesicle glycoprotein 2A. Therefore, [11C]UCB-J PET may serve as an in vivo marker of synaptic integrity. The main objective of this study was to evaluate the quantitative accuracy and the 28-day test–retest repeatability (TRT) of various parametric quantitative methods for dynamic [11C]UCB-J studies in Alzheimer’s disease (AD) patients and healthy controls (HC). Eight HCs and seven AD patients underwent two 60-min dynamic [11C]UCB-J PET scans with arterial sampling over a 28-day interval. Several plasma-input based and reference-region based parametric methods were used to generate parametric images using metabolite corrected plasma activity as input function or white matter semi-ovale as reference region. Different parametric outcomes were compared regionally with corresponding non-linear regression (NLR) estimates. Furthermore, the 28-day TRT was assessed for all parametric methods. Spectral analysis (SA) and Logan graphical analysis showed high correlations with NLR estimates. Receptor parametric mapping (RPM) and simplified reference tissue model 2 (SRTM2) BPND, and reference Logan (RLogan) distribution volume ratio (DVR) regional estimates correlated well with plasma-input derived DVR and SRTM BPND. Among the multilinear reference tissue model (MRTM) methods, MRTM1 had the best correspondence with DVR and SRTM BPND. Among the parametric methods evaluated, spectral analysis (SA) and SRTM2 were the best plasma-input and reference tissue methods, respectively, to obtain quantitatively accurate and repeatable parametric images for dynamic [11C]UCB-J PET.
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22
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Kolinger GD, Vállez García D, Kramer GM, Frings V, Zwezerijnen GJC, Smit EF, De Langen AJ, Buvat I, Boellaard R. Effects of tracer uptake time in non-small cell lung cancer 18F-FDG PET radiomics. J Nucl Med 2021; 63:919-924. [PMID: 34933890 DOI: 10.2967/jnumed.121.262660] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 09/21/2021] [Indexed: 11/16/2022] Open
Abstract
Positron emission tomography (PET) radiomics applied to oncology allows the measurement of intra-tumoral heterogeneity. This quantification can be affected by image protocols hence there is an increased interest in understanding how radiomic expression on PET images is affected by different imaging conditions. To address that, this study explores how radiomic features are affected by changes in 18F-FDG uptake time, image reconstruction, lesion delineation, and radiomics binning settings. Methods: Ten non-small cell lung cancer (NSCLC) patients underwent 18F-FDG PET scans on two consecutive days. On each day, scans were obtained at 60min and 90min post-injection and reconstructed following EARL version 1 (EARL1) and with point-spread-function resolution modelling (PSF-EARL2). Lesions were delineated using thresholds at SUV=4.0, 40% of SUVmax, and with a contrast-based isocontour. PET image intensity was discretized with both fixed bin width (FBW) and fixed bin number (FBN) before the calculation of the radiomic features. Repeatability of features was measured with intraclass correlation (ICC), and the change in feature value over time was calculated as a function of its repeatability. Features were then classified on use-case scenarios based on their repeatability and susceptibility to tracer uptake time. Results: With PSF-EARL2 reconstruction, 40% of SUVmax lesion delineation, and FBW intensity discretization, most features (94%) were repeatable at both uptake times (ICC>0.9), 39% being classified for dual-time-point use-case for being sensitive to changes in uptake time, 39% were classified for cross-sectional studies with unclear dependency on time, 20% classified for cross-sectional use while being robust to tracer uptake time changes, and 6% were discarded for poor repeatability. EARL1 images had one less repeatable feature than PSF-EARL2 (Neighborhood Gray-Level Different Matrix Coarseness), the contrast-based delineation had the poorest repeatability of the delineation methods with 45% features being discarded, and FBN resulted in lower repeatability than FBW (45% and 6% features were discarded, respectively). Conclusion: Repeatability was maximized with PSF-EARL2 reconstruction, lesion delineation at 40% of SUVmax, and FBW intensity discretization. Based on their susceptibility to tracer uptake time, radiomic features were classified into specific NSCLC PET radiomics use-cases.
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Affiliation(s)
| | - David Vállez García
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Netherlands
| | - Gerbrand Maria Kramer
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VU Medical Center, Netherlands
| | - Virginie Frings
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location VU Medical Center, Netherlands
| | | | - Egbert F Smit
- Department of Pulmonology, Amsterdam University Medical Center, location VU Medical Center, Netherlands
| | | | - Irène Buvat
- Laboratoire d'Imagerie Translationnelle en Oncologie, INSERM, Institut Curie, Université Paris-Saclay, France
| | - Ronald Boellaard
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Netherlands
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23
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Gispert JD, Alves IL, Gray KR, Buckley C, Collij LE, Heeman F, Salvadó G, García DV, Connelly P, Boutoleau‐Bretonnière C, Pasquier F, Dumurgier J, Gabelle A, Dubois B, Payoux P, Grau‐Rivera O, Martinez‐Lage P, Boada M, Marquié M, Vandenberghe R, Hanseeuw BJ, Kivipelto M, Schöll M, Scheltens P, Frisoni GB, Ritchie CW, Vellas B, Stephens AW, Ford L, Molinuevo J, Visser PJ, Farrar G, Barkhof F. Current status and quantitative results of the AMYPAD prognostic and natural history study. Alzheimers Dement 2021. [DOI: 10.1002/alz.055540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- Pompeu Fabra University Barcelona Spain
- Centro de Investigación Biomédica en Red de Bioingeniería Biomateriales y Nanomedicina (CIBER‐BBN) Madrid Spain
- Hospital del Mar Medical Research Institute (IMIM) Barcelona Spain
| | - Isadora Lopes Alves
- Department of Radiology & Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | | | | | - Lyduine E. Collij
- Department of Radiology & Nuclear Medicine Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
| | | | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
| | | | | | | | | | - Julien Dumurgier
- Cognitive Neurology Center Hôpital Lariboisière‐Fernand Widal APHP Paris France
- Université de Paris Inserm U1153 Epidemiology of Ageing and Neurodegenerative Diseases Paris France
| | | | - Bruno Dubois
- Sorbonne Université AP‐HP Hôpital de la Pitié‐Salpêtrière Boulevard de l'hôpital Paris France
| | - Pierre Payoux
- Centre Hospitalier Universitaire de Toulouse Toulouse France
| | - Oriol Grau‐Rivera
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- IMIM (Hospital del Mar Medical Research Institute) Barcelona Spain
| | - Pablo Martinez‐Lage
- Center for Research and Advanced Therapies CITA‐Alzheimer Foundation San Sebastian Spain
| | - Mercè Boada
- Research Center and Memory Clinic Fundació ACE Institut Català de Neurociències Aplicades Universitat Internacional de Catalunya Barcelona Spain
| | - Marta Marquié
- Research Center and Memory Clinic Fundació ACE Institut Català de Neurociències Aplicades Universitat Internacional de Catalunya Barcelona Spain
| | - Rik Vandenberghe
- UZ Leuven Leuven Belgium
- Laboratory for Cognitive Neurology Leuven Brain Institute KU Leuven Leuven Belgium
| | | | - Miia Kivipelto
- Kuopio University Hospital Kuopio Finland
- Division of Clinical Geriatrics Centre for Alzheimer Research Department of Neurobiology Care Sciences, and Society (NVS) Karolisnka Institutet Stockholm Sweden
- Imperial College London London United Kingdom
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine University of Gothenburg Gothenburg Sweden
- Department of Clinical Physiology Sahlgrenska Academy Hospital Gothenburg Sweden
- University College London London United Kingdom
| | | | | | - Craig W. Ritchie
- Centre for Dementia Prevention at the University of Edinburgh Edinburgh United Kingdom
| | - Bruno Vellas
- Institute of Aging Toulouse University Hospital‐UMR 1295 Toulouse France
- INSERM‐University of Toulouse UMR 1027 Toulouse France
| | | | - Lisa Ford
- Janssen Research and DEvelopment Titusville NJ USA
| | - Jose Molinuevo
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
- H. Lundbeck A/S Copenhagen Denmark
| | - Pieter Jelle Visser
- Alzheimer Center Limburg School for Mental Health and Neuroscience Maastricht University Maastricht Netherlands
- Department of Neurobiology Care Sciences and Society Division of Neurogeriatrics Karolinska Institutet Stockholm Sweden
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam University Medical Center Amsterdam Netherlands
| | - Gill Farrar
- GE Healthcare Pharmaceutical Diagnostics Amersham United Kingdom
| | - Frederik Barkhof
- Institutes of Neurology and Healthcare Engineering University College London London United Kingdom
- Amsterdam UMC VU University Medic]al Center Amsterdam Netherlands
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24
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Stormezand GN, Doorduin J, Chaves LT, García DV, Nienhuis FJ, Schoevers RA, Kremer BPH, Booij J, Dierckx RAJO. No evidence for decreased D2/3 receptor availability and frontal hypoperfusion in subjects with compulsive pornography use. Psychiatry Res Neuroimaging 2021; 311:111284. [PMID: 33774451 DOI: 10.1016/j.pscychresns.2021.111284] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 03/19/2021] [Accepted: 03/19/2021] [Indexed: 11/21/2022]
Abstract
Pornographic addiction refers to an addiction model associated with compulsive and repeated use of pornographic material. Whether the use of pornography may indeed become addictive remains a matter of debate. The current study investigated whether compulsive pornography use (CPU) is accompanied by reduced D2/3 receptor availability in the striatum and frontal hypofunctionality. Male subjects between 18 and 50 years of age with and without CPU were recruited using online and newspaper advertisements. Questionnaires were used to the assess the severity of compulsive pornography use (CIUS) and symptoms of depression, impulsivity and sensation seeking. Dopaminergic imaging was performed using [11C]-raclopride PET. Striatal binding potentials (BPND) and regional frontal cerebral influx values (R1) of [11C]-raclopride were calculated. Arterial Spin Labeling (ASL) MRI was performed to assess regional cerebral blood flow. No group differences between striatal BPND's of [11C]-raclopride in subjects with (n = 15) and without (n = 10) CPU were detected. In CPU subjects, no correlation was found between the CIUS score and striatal BPND's. Cerebral R1 values in frontal brain regions and cerebral blood flow measurements did not differ between groups. The current study fails to provide imaging support for sharing similar neurobiological alterations as previously has been reported in other addictive modalities.
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Affiliation(s)
- Gilles N Stormezand
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Lumi T Chaves
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Fokko J Nienhuis
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Robert A Schoevers
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Berry P H Kremer
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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25
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Kolinger GD, Vállez García D, Lohith TG, Hostetler ED, Sur C, Struyk A, Boellaard R, Koole M. A dual-time-window protocol to reduce acquisition time of dynamic tau PET imaging using [ 18F]MK-6240. EJNMMI Res 2021; 11:49. [PMID: 34046730 PMCID: PMC8160074 DOI: 10.1186/s13550-021-00790-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 05/17/2021] [Indexed: 12/17/2022] Open
Abstract
Background [18F]MK-6240 is a PET tracer with sub-nanomolar affinity for neurofibrillary tangles. Therefore, tau quantification is possible with [18F]MK-6240 PET/CT scans, and it can be used for assessment of Alzheimer’s disease. However, long acquisition scans are required to provide fully quantitative estimates of pharmacokinetic parameters. Therefore, on the present study, dual-time-window (DTW) acquisitions was simulated to reduce PET/CT acquisition time, while taking into consideration perfusion changes and possible scanning protocol non-compliance. To that end, time activity curves (TACs) representing a 120-min acquisition (TAC120) were simulated using a two-tissue compartment model with metabolite corrected arterial input function from 90-min dynamic [18F]MK-6240 PET scans of three healthy control subjects and five subjects with mild cognitive impairment or Alzheimer’s disease. Therefore, TACs corresponding to different levels of specific binding were generated and then various perfusion changes were simulated. Next, DTW acquisitions were simulated consisting of an acquisition starting at tracer injection, a break and a second acquisition starting at 90 min post-injection. Finally, non-compliance with the PET/CT scanning protocol were simulated to assess its impact on quantification. All TACs were quantified using reference Logan’s distribution volume ratio (DVR) and standardized uptake value ratio (SUVR90) using the cerebellar cortex as reference region. Results It was found that DVR from a DTW protocol with a 60-min break between two 30-min dynamic scans closely approximates the DVR from the uninterrupted TAC120, with a regional bias smaller than 2.5%. Moreover, SUVR90 estimates were more susceptible (regional bias ≤ 19%) to changes in perfusion compared to DVR from a DTW TAC (regional bias ≤ 10%). Similarly, SUVR90 was affected by late-time scanning protocol delays reaching an increase of 8% for a 20-min delay, while DVR was not affected (regional bias < 1.5%) by DTW protocol non-compliance. Conclusions Therefore, such DTW protocol has the potential to increase patient comfort and throughput without compromising quantitative accuracy and is more reliable against SUVR in terms of perfusion changes and protocol deviations, which could prove beneficial for drug effect assessment and patient follow-up using longitudinal [18F]MK-6240 PET imaging. Supplementary Information The online version contains supplementary material available at 10.1186/s13550-021-00790-x.
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Affiliation(s)
- Guilherme D Kolinger
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - David Vállez García
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Talakad G Lohith
- Translational Imaging Biomarkers, Merck & Co., Inc., 770 Sumneytown Pike, Mailstop WP44D-216, West Point, PA, 19486, USA
| | - Eric D Hostetler
- Translational Imaging Biomarkers, Merck & Co., Inc., 770 Sumneytown Pike, Mailstop WP44D-216, West Point, PA, 19486, USA
| | - Cyrille Sur
- Translational Imaging Biomarkers, Merck & Co., Inc., 770 Sumneytown Pike, Mailstop WP44D-216, West Point, PA, 19486, USA
| | - Arie Struyk
- Translational Pharmacology, Merck & Co., Inc, 351 N Sumneytown Pike, Mailstop UG4D-48, North Wales, PA, 19454, USA
| | - Ronald Boellaard
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Herestraat 49 - Bus 7003, 3000, Leuven, Belgium.
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26
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Peretti DE, Renken RJ, Reesink FE, de Jong BM, De Deyn PP, Dierckx RAJO, Doorduin J, Boellaard R, Vállez García D. Feasibility of pharmacokinetic parametric PET images in scaled subprofile modelling using principal component analysis. Neuroimage Clin 2021; 30:102625. [PMID: 33756179 PMCID: PMC8020472 DOI: 10.1016/j.nicl.2021.102625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/05/2021] [Indexed: 11/30/2022]
Abstract
Scaled subprofile model using principal component analysis (SSM/PCA) is a multivariate analysis technique used, mainly in [18F]-2-fluoro-2-deoxy-d-glucose (FDG) PET studies, for the generation of disease-specific metabolic patterns (DP) that may aid with the classification of subjects with neurological disorders, like Alzheimer’s disease (AD). The aim of this study was to explore the feasibility of using quantitative parametric images for this type of analysis, with dynamic [11C]-labelled Pittsburgh Compound B (PIB) PET data as an example. Therefore, 15 AD patients and 15 healthy control subjects were included in an SSM/PCA analysis to generate four AD-DPs using relative cerebral blood flow (R1), binding potential (BPND) and SUVR images derived from dynamic PIB and static FDG-PET studies. Furthermore, 49 new subjects with a variety of neurodegenerative cognitive disorders were tested against these DPs. The AD-DP was characterized by a reduction in the frontal, parietal, and temporal lobes voxel values for R1 and SUVR-FDG DPs; and by a general increase of values in cortical areas for BPND and SUVR-PIB DPs. In conclusion, the results suggest that the combination of parametric images derived from a single dynamic scan might be a good alternative for subject classification instead of using 2 independent PET studies.
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Affiliation(s)
- Débora E Peretti
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands.
| | - Remco J Renken
- University of Groningen, University Medical Center Groningen, Cognitive Neuroscience Centre, Department of Biomedical Sciences of Cell & Systems, The Netherlands
| | - Fransje E Reesink
- University of Groningen, University Medical Center Groningen, Department of Neurology, Alzheimer Research Centre, The Netherlands
| | - Bauke M de Jong
- University of Groningen, University Medical Center Groningen, Department of Neurology, Alzheimer Research Centre, The Netherlands
| | - Peter P De Deyn
- University of Groningen, University Medical Center Groningen, Department of Neurology, Alzheimer Research Centre, The Netherlands; University of Antwerp, Institute Born-Bunge, Laboratory of Neurochemistry and Behaviour, Belgium
| | - Rudi A J O Dierckx
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
| | - Janine Doorduin
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
| | - Ronald Boellaard
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
| | - David Vállez García
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
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27
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Kolinger GD, Vállez García D, Willemsen ATM, Reesink FE, de Jong BM, Dierckx RAJO, De Deyn PP, Boellaard R. Amyloid burden quantification depends on PET and MR image processing methodology. PLoS One 2021; 16:e0248122. [PMID: 33667281 PMCID: PMC7935288 DOI: 10.1371/journal.pone.0248122] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/19/2021] [Indexed: 11/19/2022] Open
Abstract
Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer's Disease in-vivo. However, quantification can be affected by the image processing methodology applied. This study's goal was to address how amyloid quantification is influenced by different semi-automatic image processing pipelines. Images were analysed in their Native Space and Standard Space; non-rigid spatial transformation methods based on maximum a posteriori approaches and tissue probability maps (TPM) for regularisation were explored. Furthermore, grey matter tissue segmentations were defined before and after spatial normalisation, and also using a population-based template. Five quantification metrics were analysed: two intensity-based, two volumetric-based, and one multi-parametric feature. Intensity-related metrics were not substantially affected by spatial normalisation and did not significantly depend on the grey matter segmentation method, with an impact similar to that expected from test-retest studies (≤10%). Yet, volumetric and multi-parametric features were sensitive to the image processing methodology, with an overall variability up to 45%. Therefore, the analysis should be carried out in Native Space avoiding non-rigid spatial transformations. For analyses in Standard Space, spatial normalisation regularised by TPM is preferred. Volumetric-based measurements should be done in Native Space, while intensity-based metrics are more robust against differences in image processing pipelines.
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Affiliation(s)
- Guilherme D. Kolinger
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - David Vállez García
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Antoon T. M. Willemsen
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Fransje E. Reesink
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bauke M. de Jong
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudi A. J. O. Dierckx
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Peter P. De Deyn
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Laboratory of Neurochemistry and Behaviour, Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
| | - Ronald Boellaard
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, VU Medical Center, Amsterdam, The Netherlands
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28
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García-Varela L, García DV, Kakiuchi T, Ohba H, Nishiyama S, Tago T, Elsinga PH, Tsukada H, Colabufo NA, Dierckx RAJO, van Waarde A, Toyohara J, Boellaard R, Luurtsema G. Pharmacokinetic Modeling of ( R)-[ 11C]verapamil to Measure the P-Glycoprotein Function in Nonhuman Primates. Mol Pharm 2020; 18:416-428. [PMID: 33315404 PMCID: PMC7788571 DOI: 10.1021/acs.molpharmaceut.0c01014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
![]()
(R)-[11C]verapamil is a radiotracer
widely used for the evaluation of the P-glycoprotein (P-gp) function
at the blood–brain barrier (BBB). Several studies have evaluated
the pharmacokinetics of (R)-[11C]verapamil
in rats and humans under different conditions. However, to the best
of our knowledge, the pharmacokinetics of (R)-[11C]verapamil have not yet been evaluated in nonhuman primates.
Our study aims to establish (R)-[11C]verapamil
as a reference P-gp tracer for comparison of a newly developed P-gp
positron emission tomography (PET) tracer in a species close to humans.
Therefore, the study assesses the kinetics of (R)-[11C]verapamil and evaluates the effect of scan duration and
P-gp inhibition on estimated pharmacokinetic parameters. Three nonhuman
primates underwent two dynamic 91 min PET scans with arterial blood
sampling, one at baseline and another after inhibition of the P-gp
function. The (R)-[11C]verapamil data
were analyzed using 1-tissue compartment model (1-TCM) and 2-tissue
compartment model fits using plasma-corrected for polar radio-metabolites
or non-corrected for radio-metabolites as an input function and with
various scan durations (10, 20, 30, 60, and 91 min). The preferred
model was chosen according to the Akaike information criterion and
the standard errors (SE %) of the estimated parameters. 1-TCM was
selected as the model of choice to analyze the (R)-[11C]verapamil data at baseline and after inhibition
and for all scan durations tested. The volume of distribution (VT) and the efflux constant k2 estimations were affected by the evaluated scan durations,
whereas the influx constant K1 estimations
remained relatively constant. After P-gp inhibition (tariquidar, 8
mg/kg), in a 91 min scan duration, the whole-brain VT increased significantly up to 208% (p < 0.001) and K1 up to 159% (p < 0.001) compared with baseline scans. The k2 values decreased significantly after P-gp
inhibition in all the scan durations except for the 91 min scans.
This study suggests the use of K1, calculated
with 1-TCM and using short PET scans (10 to 30 min), as a suitable
parameter to measure the P-gp function at the BBB of nonhuman primates.
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Affiliation(s)
- Lara García-Varela
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
| | - Takeharu Kakiuchi
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu 434-8601, Shizuoka, Japan
| | - Hiroyuki Ohba
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu 434-8601, Shizuoka, Japan
| | - Shingo Nishiyama
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu 434-8601, Shizuoka, Japan
| | - Tetsuro Tago
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan
| | - Philip H Elsinga
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
| | - Hideo Tsukada
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu 434-8601, Shizuoka, Japan
| | - Nicola A Colabufo
- Department of Pharmacy, University of Bari Aldo Moro, Bari 70125, Italy.,Biofordrug, Spin-off Università degli Studi di Bari "A. Moro", via Dante 99, Triggiano, Bari 70019, Italy
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
| | - Aren van Waarde
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
| | - Jun Toyohara
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
| | - Gert Luurtsema
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, The Netherlands
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29
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van der Weijden CWJ, García DV, Borra RJH, Thurner P, Meilof JF, van Laar PJ, Dierckx RAJO, Gutmann IW, de Vries EFJ. Myelin quantification with MRI: A systematic review of accuracy and reproducibility. Neuroimage 2020; 226:117561. [PMID: 33189927 DOI: 10.1016/j.neuroimage.2020.117561] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 10/27/2020] [Accepted: 11/07/2020] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVES Currently, multiple sclerosis is treated with anti-inflammatory therapies, but these treatments lack efficacy in progressive disease. New treatment strategies aim to repair myelin damage and efficacy evaluation of such new therapies would benefit from validated myelin imaging techniques. Several MRI methods for quantification of myelin density are available now. This systematic review aims to analyse the performance of these MRI methods. METHODS Studies comparing myelin quantification by MRI with histology, the current gold standard, or assessing reproducibility were retrieved from PubMed/MEDLINE and Embase (until December 2019). Included studies assessed both myelin histology and MRI quantitatively. Correlation or variance measurements were extracted from the studies. Non-parametric tests were used to analyse differences in study methodologies. RESULTS The search yielded 1348 unique articles. Twenty-two animal studies and 13 human studies correlated myelin MRI with histology. Eighteen clinical studies analysed the reproducibility. Overall bias risk was low or unclear. All MRI methods performed comparably, with a mean correlation between MRI and histology of R2=0.54 (SD=0.30) for animal studies, and R2=0.54 (SD=0.18) for human studies. Reproducibility for the MRI methods was good (ICC=0.75-0.93, R2=0.90-0.98, COV=1.3-27%), except for MTR (ICC=0.05-0.51). CONCLUSIONS Overall, MRI-based myelin imaging methods show a fairly good correlation with histology and a good reproducibility. However, the amount of validation data is too limited and the variability in performance between studies is too large to select the optimal MRI method for myelin quantification yet.
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Affiliation(s)
- Chris W J van der Weijden
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
| | - Ronald J H Borra
- Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
| | - Patrick Thurner
- Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090 Wien, Austria.
| | - Jan F Meilof
- Multiple Sclerosis Center Noord Nederland, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
| | - Peter-Jan van Laar
- Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands; Department of Radiology, Zorggroep Twente, Zilvermeeuw 1, 7609 PP Almelo, the Netherlands.
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
| | - Ingomar W Gutmann
- Physics of Functional Material, Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Vienna, Austria.
| | - Erik F J de Vries
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
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30
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Dijkstra GW, Glaudemans AWJM, Erba PA, Wouthuyzen-Bakker M, Sinha B, Vállez García D, van der Sluis LWM, Slart RHJA. Relationship between 18F-FDG Uptake in the Oral Cavity, Recent Dental Treatments, and Oral Inflammation or Infection: A Retrospective Study of Patients with Suspected Endocarditis. Diagnostics (Basel) 2020; 10:E625. [PMID: 32846896 PMCID: PMC7555096 DOI: 10.3390/diagnostics10090625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 08/18/2020] [Accepted: 08/20/2020] [Indexed: 12/15/2022] Open
Abstract
[18F]-fluorodeoxyglucose positron emission tomography ([18F]FDG PET/CT) has proven to be a useful diagnostic tool in patients with suspected infective endocarditis (IE), but is conflicting in relation to dental procedures. QUESTIONS Is there a correlation between [18F]FDG PET/CT findings, recent dental treatment, and an affected oral cavity? (2) Is there a correlation between infective endocarditis (IE), oral health status, and (extra)cardiac findings on [18F]FDG PET/CT? METHODS This retrospective study included 52 patients. All [18F]FDG PET/CT scans were examined visually by pattern recognition using a three-point scale and semi-quantified within the volume of interest (VOI) using SUVmax. RESULTS 19 patients were diagnosed with IE (group 1), 14 with possible IE (group 2), and 19 without IE based on the modified Duke criteria (group 3). No correlation was found between visual PET and SUVmax and sites of oral inflammation and infection. The visual PET scores and SUVmax were not significantly different between all groups. A significant difference in the SUVmax of the valve between all groups was observed. CONCLUSIONS This study suggests that no correlation exists between the PET findings in the oral cavity and dental treatments or inflammation/infection. No correlation between IE, actual oral health status, and extra-cardiac findings was demonstrated. Additional research is needed to conclude whether [18F]FDG PET/CT imaging is a reliable diagnostic modality for oral inflammation and infection sites.
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Affiliation(s)
- Geertruida W. Dijkstra
- Center for Dentistry and Oral Hygiene, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (G.W.D.); (L.W.M.v.d.S.)
| | - Andor W. J. M. Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (P.A.E.); (D.V.G.); (R.H.J.A.S.)
| | - Paola A. Erba
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (P.A.E.); (D.V.G.); (R.H.J.A.S.)
- Department of Nuclear Medicine, Department of Translational Research and New Technology in Medicine, University of Pisa, 56128 Pisa, Italy
| | - Marjan Wouthuyzen-Bakker
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (M.W.-B.); (B.S.)
| | - Bhanu Sinha
- Department of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (M.W.-B.); (B.S.)
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (P.A.E.); (D.V.G.); (R.H.J.A.S.)
| | - Luc W. M. van der Sluis
- Center for Dentistry and Oral Hygiene, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (G.W.D.); (L.W.M.v.d.S.)
| | - Riemer H. J. A. Slart
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, PO 9700 RB Groningen, The Netherlands; (P.A.E.); (D.V.G.); (R.H.J.A.S.)
- Department of Biomedical Photonic Imaging, University of Twente, 7522 NB Enschede, The Netherlands
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31
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García-Varela L, Arif WM, Vállez García D, Kakiuchi T, Ohba H, Harada N, Tago T, Elsinga PH, Tsukada H, Colabufo NA, Dierckx RAJO, van Waarde A, Toyohara J, Boellaard R, Luurtsema G. Pharmacokinetic Modeling of [ 18F]MC225 for Quantification of the P-Glycoprotein Function at the Blood-Brain Barrier in Non-Human Primates with PET. Mol Pharm 2020; 17:3477-3486. [PMID: 32787277 PMCID: PMC7482398 DOI: 10.1021/acs.molpharmaceut.0c00514] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
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[18F]MC225 has been developed as a weak substrate of
P-glycoprotein (P-gp) aimed to measure changes in the P-gp function
at the blood–brain barrier with positron emission tomography.
This study evaluates [18F]MC225 kinetics in non-human primates
and investigates the effect of both scan duration and P-gp inhibition.
Three rhesus monkeys underwent two 91-min dynamic scans with blood
sampling at baseline and after P-gp inhibition (8 mg/kg tariquidar).
Data were analyzed using the 1-tissue compartment model (1-TCM) and
2-tissue compartment model (2-TCM) fits using metabolite-corrected
plasma as the input function and for various scan durations (10, 20,
30, 60, and 91 min). The preferred model was chosen according to the
Akaike information criterion and the standard errors (%) of the estimated
parameters. For the 91-min scan duration, the influx constant K1 increased by 40.7% and the volume of distribution
(VT) by 30.4% after P-gp inhibition, while
the efflux constant k2 did not change
significantly. Similar changes were found for all evaluated scan durations. K1 did not depend on scan duration (10 min—K1 = 0.2191 vs 91 min—K1 = 0.2258), while VT and k2 did. A scan duration of 10 min seems sufficient
to properly evaluate the P-gp function using K1 obtained with 1-TCM. For the 91-min scan, VT and K1 can be estimated
with a 2-TCM, and both parameters can be used to assess P-gp function.
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Affiliation(s)
- Lara García-Varela
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
| | - Wejdan M Arif
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands.,Department of Radiological Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
| | - Takeharu Kakiuchi
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu, Shizuoka 434-8601, Japan
| | - Hiroyuki Ohba
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu, Shizuoka 434-8601, Japan
| | - Norihiro Harada
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu, Shizuoka 434-8601, Japan
| | - Tetsuro Tago
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan
| | - Philip H Elsinga
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
| | - Hideo Tsukada
- Central Research Laboratory, Hamamatsu Photonics KK, 5000 Hirakuchi, Hamakita, Hamamatsu, Shizuoka 434-8601, Japan
| | - Nicola Antonio Colabufo
- Department of Pharmacy, University of Bari Aldo Moro, Bari 70121, Italy.,Biofordrug, Spin-off Università degli Studi di Bari "A. Moro", via Dante 99, Triggiano, Bari 70019, Italy
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
| | - Aren van Waarde
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
| | - Jun Toyohara
- Research Team for Neuroimaging, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo 173-0015, Japan
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
| | - Gert Luurtsema
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O. Box 30001, Groningen 9713 GZ, the Netherlands
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32
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Monroy-Gonzalez AG, Juarez-Orozco LE, Han C, Vedder IR, García DV, Borra R, Slomka PJ, Nesterov SV, Knuuti J, Slart RHJA, Alexanderson-Rosas E. Software reproducibility of myocardial blood flow and flow reserve quantification in ischemic heart disease: A 13N-ammonia PET study. J Nucl Cardiol 2020; 27:1225-1233. [PMID: 30903608 DOI: 10.1007/s12350-019-01620-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 12/13/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND We explored agreement in the quantification of myocardial perfusion by cross-comparison of implemented software packages (SPs) in three distinguishable patient profile populations. METHODS We studied 91 scans of patients divided into 3 subgroups based on their semi-quantitative perfusion findings: patients with normal perfusion, with reversible perfusion defects, and with fixed perfusion defects. Rest myocardial blood flow (MBF), stress MBF, and myocardial flow reserve (MFR) were obtained with QPET, SyngoMBF, and Carimas. Agreement between SPs was considered adequate when a pairwise standardized difference was found to be < 0.20 and its corresponding intraclass correlation coefficient was ≥ 0.75. RESULTS In patients with normal perfusion, two out of three comparisons of global stress MBF quantifications were outside the limits of agreement. In ischemic patients, all comparisons of global stress MBF and MFR were outside the limits of established agreement. In patients with fixed perfusion defects, all SP comparisons of perfusion quantifications were within the limit of agreement. Regionally, agreement of these perfusion estimates was mostly found for the left anterior descending artery vascular territory. CONCLUSION Reversible defects demonstrated the worst agreement in global stress MBF and MFR and discrepancies showed to be regional dependent. Reproducibility between SPs should not be assumed.
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Affiliation(s)
- Andrea G Monroy-Gonzalez
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Chunlei Han
- Turku PET Centre, University of Turku, Turku, Finland
| | - Issi R Vedder
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - David Vállez García
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ronald Borra
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Piotr J Slomka
- Departments of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Sergey V Nesterov
- Turku PET Centre, University of Turku, Turku, Finland
- Institute of Evolutionary Physiology and Biochemistry, RAS, St. Petersburg, Russia
| | - Juhani Knuuti
- Turku PET Centre, University of Turku, Turku, Finland
| | - Riemer H J A Slart
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
- Biomedical Photonic Imaging, TechMed Centre, University of Twente, Enschede, The Netherlands
| | - Erick Alexanderson-Rosas
- Department of Physiology, National Autonomous University of Mexico, Mexico City, Mexico.
- National Institute of Cardiology Ignacio Chavez, Mexico City, Mexico.
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33
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García-Varela L, Vállez García D, Rodríguez-Pérez M, van Waarde A, Sijbesma JWA, Schildt A, Kwizera C, Aguiar P, Sobrino T, Dierckx RAJO, Elsinga PH, Luurtsema G. Test-Retest Repeatability of [ 18F]MC225-PET in Rodents: A Tracer for Imaging of P-gp Function. ACS Chem Neurosci 2020; 11:648-658. [PMID: 31961646 PMCID: PMC7034080 DOI: 10.1021/acschemneuro.9b00682] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
![]()
In
longitudinal PET studies, animals are repeatedly anesthetized
which may affect the repeatability of PET measurements. The aim of
this study was to assess the effect of anesthesia on the P-gp function
as well as the reproducibility of [18F]MC225 PET scans.
Thus, dynamic PET scans with blood sampling were conducted in 13 Wistar
rats. Seven animals were exposed to isoflurane anesthesia 1 week before
the PET scan (“Anesthesia-exposed” PET). A second group
of six animals was used to evaluate the reproducibility of measurements
of P-gp function at the blood–brain barrier (BBB) with [18F]MC225. In this group, two PET scans were made with a 1
week interval (“Test” and “Retest” PET).
Pharmacokinetic parameters were calculated using compartmental models
and metabolite-corrected plasma as an input function. “Anesthesia-exposed”
animals showed a 28% decrease in whole-brain volume of distribution
(VT) (p < 0.001) compared
to “Test”, where the animals were not previously anesthetized.
The VT at “Retest” also
decreased (19%) compared to “Test” (p < 0.001). The k2 values in whole-brain
were significantly increased by 18% in “Anesthesia-exposed”
(p = 0.005) and by 15% in “Retest”
(p = 0.008) compared to “Test”. However,
no significant differences were found in the influx rate constant K1, which is considered as the best parameter
to measure the P-gp function. Moreover, Western Blot analysis did
not find significant differences in the P-gp expression of animals
not pre-exposed to anesthesia (“Test”) or pre-exposed
animals (“Retest”). To conclude, anesthesia may affect
the brain distribution of [18F]MC225 but it does not affect
the P-gp expression or function.
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Affiliation(s)
- Lara García-Varela
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Manuel Rodríguez-Pérez
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela 15706, Spain
| | - Aren van Waarde
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Jürgen W. A. Sijbesma
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Anna Schildt
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Chantal Kwizera
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Pablo Aguiar
- Department of Nuclear Medicine and Molecular Imaging Group, Clinical University Hospital, IDIS Health Research Institute, Santiago de Compostela 15706, Spain
| | - Tomás Sobrino
- Clinical Neurosciences Research Laboratory, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela 15706, Spain
| | - Rudi A. J. O. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Philip H. Elsinga
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
| | - Gert Luurtsema
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, P.O.
Box 30001, 9713 GZ Groningen, The Netherlands
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34
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Polinder-Bos HA, Elting JWJ, Aries MJ, García DV, Willemsen AT, van Laar PJ, Kuipers J, Krijnen WP, Slart RH, Luurtsema G, Westerhuis R, Gansevoort RT, Gaillard CA, Franssen CF. Changes in cerebral oxygenation and cerebral blood flow during hemodialysis - A simultaneous near-infrared spectroscopy and positron emission tomography study. J Cereb Blood Flow Metab 2020; 40:328-340. [PMID: 30540219 PMCID: PMC7370620 DOI: 10.1177/0271678x18818652] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Near-infrared spectroscopy (NIRS) is used to monitor cerebral tissue oxygenation (rSO2) depending on cerebral blood flow (CBF), cerebral blood volume and blood oxygen content. We explored whether NIRS might be a more easy applicable proxy to [15O]H2O positron emission tomography (PET) for detecting CBF changes during hemodialysis. Furthermore, we compared potential determinants of rSO2 and CBF. In 12 patients aged ≥ 65 years, NIRS and PET were performed simultaneously: before (T1), early after start (T2), and at the end of hemodialysis (T3). Between T1 and T3, the relative change in frontal rSO2 (ΔrSO2) was -8 ± 9% (P = 0.001) and -5 ± 11% (P = 0.08), whereas the relative change in frontal gray matter CBF (ΔCBF) was -11 ± 18% (P = 0.009) and -12 ± 16% (P = 0.007) for the left and right hemisphere, respectively. ΔrSO2 and ΔCBF were weakly correlated for the left (ρ 0.31, P = 0.4), and moderately correlated for the right (ρ 0.69, P = 0.03) hemisphere. The Bland-Altman plot suggested underestimation of ΔCBF by NIRS. Divergent associations of pH, pCO2 and arterial oxygen content with rSO2 were found compared to corresponding associations with CBF. In conclusion, NIRS could be a proxy to PET to detect intradialytic CBF changes, although NIRS and PET capture different physiological parameters of the brain.
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Affiliation(s)
- Harmke A Polinder-Bos
- Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jan Willem J Elting
- Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Marcel Jh Aries
- Department of Intensive Care, University of Maastricht, University Medical Center Maastricht, Maastricht, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Antoon Tm Willemsen
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter J van Laar
- Department of Radiology, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Wim P Krijnen
- Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, The Netherlands.,Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Groningen, The Netherlands
| | - Riemer Hja Slart
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | - Gert Luurtsema
- Department of Nuclear Medicine and Molecular Imaging, Medical Imaging Center, University Medical Center Groningen, Groningen, The Netherlands
| | | | - Ron T Gansevoort
- Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Carlo Ajm Gaillard
- Division of Internal Medicine and Dermatology, Department of Nephrology, University Medical Center Utrecht, University of Utrecht, The Netherlands
| | - Casper Fm Franssen
- Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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35
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Stormezand GN, Chaves LT, Vállez García D, Doorduin J, De Jong BM, Leenders KL, Kremer BPH, Dierckx RAJO. Intrastriatal gradient analyses of 18F-FDOPA PET scans for differentiation of Parkinsonian disorders. Neuroimage Clin 2020; 25:102161. [PMID: 31981888 PMCID: PMC6976972 DOI: 10.1016/j.nicl.2019.102161] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 12/30/2019] [Accepted: 12/31/2019] [Indexed: 11/22/2022]
Abstract
FDOPA PET allows quantification of presynaptic dopaminergic functioning in vivo. Subregional analysis within the striatum provides additional diagnostic value for differentiation within Parkinsonian disorders. Depletion of F-DOPA uptake in both patients with idiopathic Parkinson's disease and patients with atypical Parkinsonism preferentially affects the posterior part of the putamen. A more linear decrease of FDOPA uptake from the head of the caudate nucleus to the posterior putamen is present in patients with IPD than in APD.
Aim L -3,4-dihydroxy-6–18F-fluorophenylalanine (18F-DOPA PET may be used to distinguish subjects with Parkinsonism from those with symptoms not originating from impaired dopaminergic transmission. However, it is not routinely utilized to discriminate Idiopathic Parkinson's disease (IPD) from Atypical Parkinsonian Disorders (APD). We investigated the potential of FDOPA PET to discriminate between IPD and APD, with a focus on the anterior-to-posterior decline in het striatum, considered to be more specific for IPD. Materials and methods 18F-DOPA PET data from a total of 58 subjects were retrospectively analyzed. 28 subjects had idiopathic Parkinson's disease (14 male, 14 female; age at scan 61 +- 11,5), 13 atypical Parkinsonian disease (7 male, 6 females; age at scan: 69,6 +- 6,4) and 17 were controls (6 male, 11 female; age at scan 65,3 +-8,6). Regional striatal-to-occipital ratio's (RSOR's) were calculated, as well as multiple in-line VOI's from the caudate nucleus to the posterior part of the putamen. The linearity of anteroposterior decline was determined by a linear regression fit and associated R squared values. ROC curves were calculated to assess the diagnostic performance of these measurements. Data contralateral to the clinically most affected side were used for analysis. Results ROC curve analysis for differentiation between controls and Parkinsonism patients showed the highest AUC for the caudate nucleus-to-posterior putamen ratio (AUC = 0.930; p < 0.00) and for the R squared value for the linear regression fit (AUC = 0.948; p = 0.006). For discrimating IPD from APD, the highest AUC was found for the caudate nucleus-to-anterior putamen ratio (0.824; p < 0.001) Conclusions Subregional analysis of the striatum in F-DOPA PET scans may provide additional diagnostic information in patients screened for a presynaptic dopaminergic deficit. A more linear decrease from the head of the caudate nucleus to the posterior putamen was present in patients with IPD, although this feature did not have additional diagnostic value over the RSOR analysis.
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Affiliation(s)
- Gilles N Stormezand
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands.
| | - Lumi T Chaves
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands
| | - Bauke M De Jong
- Department of Neurology, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Klaus L Leenders
- Department of Neurology, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Berry P H Kremer
- Department of Neurology, University of Groningen, University Medical Center Groningen, the Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9700 RB, Groningen, the Netherlands
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Dobrolińska M, van der Tuuk K, Vink P, van den Berg M, Schuringa A, Monroy-Gonzalez AG, García DV, Schultz WCW, Slart RH. Bone Mineral Density in Transgender Individuals After Gonadectomy and Long-Term Gender-Affirming Hormonal Treatment. J Sex Med 2019; 16:1469-1477. [DOI: 10.1016/j.jsxm.2019.06.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 06/02/2019] [Accepted: 06/08/2019] [Indexed: 10/26/2022]
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Noltes ME, Kruijff S, Noordzij W, Telenga ED, Vállez García D, Trofimiuk-Müldner M, Opalińska M, Hubalewska-Dydejczyk A, Luurtsema G, Dierckx RAJO, El Moumni M, Boellaard R, Brouwers AH. Optimization of parathyroid 11C-choline PET protocol for localization of parathyroid adenomas in patients with primary hyperparathyroidism. EJNMMI Res 2019; 9:73. [PMID: 31367792 PMCID: PMC6669228 DOI: 10.1186/s13550-019-0534-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 07/15/2019] [Indexed: 02/08/2023] Open
Abstract
PURPOSE To evaluate the optimal tracer uptake time, the minimal amount of radioactivity and the inter-observer agreement for 11C-choline positron emission tomography/computed tomography (PET/CT) in patients with primary hyperparathyroidism (pHPT). METHODS Twenty-one patients with biochemically proven pHPT were retrospectively studied after injection of 6.3 ± 1.2 MBq/kg 11C-choline. PET data of the first nine patients, scanned for up to 60 min, were reconstructed in 10-min frames from 10- to 60-min postinjection (p.i.), mimicking varying 11C-choline uptake times. Parathyroid adenoma to background contrast ratios were calculated and compared, using standardized uptake values (SUVs). Data was reconstructed with varying scan durations (1, 2.5, 5, and 10 min) at 20-30-min p.i. (established optimal uptake time), mimicking less administered radioactivity. To establish the minimal required radioactivity, the SUVs in the shorter scan durations (1, 2.5, and 5 min) were compared to the 10-min scan duration to determine whether increased variability and/or statistical differences were observed. Four observers analyzed the 11C-choline PET/CT in four randomized rounds for all patients. RESULTS SUVpeak of the adenoma decreased from 30 to 40 p.i. onwards. All adenoma/background contrast ratios did not differ from 20- to 30-min p.i. onwards. The SUVs of adenoma in the scan duration of 1, 2.5, and 5 min all differed significantly from the same SUV in the 10-min scan duration (all p = 0.012). However, the difference in absolute SUV adenoma values was well below 10% and therefore not considered clinically significant. The inter-observer analysis showed that the Fleiss' kappa of the 1-min scan were classified as "moderate," while these values were classified as "good" in the 2.5-, 5-, and 10-min scan duration. Observers scored lower certainty scores in the 1- and 2.5-min scans compared to the 5- and 10-min scan durations. CONCLUSION The optimal time to start PET/CT scanning in patients with pHPT is 20 min after mean injection of 6.3 MBq/kg 11C-choline, with a recommended scan duration of at least 5 min. Alternatively, the radioactivity dose can be lowered by 50% while keeping a 10-min scan duration without losing the accuracy of 11C-choline PET/CT interpretation.
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Affiliation(s)
- Milou E Noltes
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands
| | - Schelto Kruijff
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Walter Noordzij
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands
| | - Eef D Telenga
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands.,Department of Nuclear Medicine, Isala Hospital, Zwolle, The Netherlands
| | - David Vállez García
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands
| | | | - Marta Opalińska
- Nuclear Medicine Unit, Department of Endocrinology, University Hospital, Krakow, Poland
| | | | - Gert Luurtsema
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands
| | - Rudi A J O Dierckx
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands
| | - Mostafa El Moumni
- Department of Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ronald Boellaard
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands
| | - Adrienne H Brouwers
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, P.O. Box 30 001, 9700, RB, Groningen, The Netherlands.
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Peretti DE, Vállez García D, Reesink FE, Doorduin J, de Jong BM, De Deyn PP, Dierckx RAJO, Boellaard R. Diagnostic performance of regional cerebral blood flow images derived from dynamic PIB scans in Alzheimer's disease. EJNMMI Res 2019; 9:59. [PMID: 31273465 PMCID: PMC6609664 DOI: 10.1186/s13550-019-0528-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 06/20/2019] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND In clinical practice, visual assessment of glucose metabolism images is often used for the diagnosis of Alzheimer's disease (AD) through 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) scans. However, visual assessment of the characteristic AD hypometabolic pattern relies on the expertise of the reader. Therefore, user-independent pipelines are preferred to evaluate the images and to classify the subjects. Moreover, glucose consumption is highly correlated with cerebral perfusion. Regional cerebral blood flow (rCBF) images can be derived from dynamic 11C-labelled Pittsburgh Compound B PET scans, which are also used for the assessment of the deposition of amyloid-β plaques on the brain, a fundamental characteristic of AD. The aim of this study was to explore whether these rCBF PIB images could be used for diagnostic purposes through the PMOD Alzheimer's Discrimination Tool. RESULTS Both tracer relative cerebral flow (R1) and early PIB (ePIB) (20-130 s) uptake presented a good correlation when compared to FDG standardized uptake value ratio (SUVR), while ePIB (1-8 min) showed a worse correlation. All receiver operating characteristic curves exhibited a similar shape, with high area under the curve values, and no statistically significant differences were found between curves. However, R1 and ePIB (1-8 min) had the highest sensitivity, while FDG SUVR had the highest specificity. CONCLUSION rCBF images were suggested to be a good surrogate for FDG scans for diagnostic purposes considering an adjusted threshold value.
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Affiliation(s)
- Débora E. Peretti
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Fransje E. Reesink
- Department of Neurology, Alzheimer Centrum Groningen, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Bauke M. de Jong
- Department of Neurology, Alzheimer Centrum Groningen, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Peter P. De Deyn
- Department of Neurology, Alzheimer Centrum Groningen, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
- Laboratory of Neurochemistry and Behaviour, Institute Born-Bunge, University of Antwerp, Universiteitsplein 1, 2610 Antwerpen, Belgium
| | - Rudi A. J. O. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
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Real CC, Doorduin J, Kopschina Feltes P, Vállez García D, de Paula Faria D, Britto LR, de Vries EF. Evaluation of exercise-induced modulation of glial activation and dopaminergic damage in a rat model of Parkinson's disease using [ 11C]PBR28 and [ 18F]FDOPA PET. J Cereb Blood Flow Metab 2019; 39:989-1004. [PMID: 29271291 PMCID: PMC6545619 DOI: 10.1177/0271678x17750351] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Evidence suggests that exercise can modulate neuroinflammation and neuronal damage. We evaluated if such effects of exercise can be detected with positron emission tomography (PET) in a rat model of Parkinson's disease (PD). Rats were unilaterally injected in the striatum with 6-hydroxydopamine (PD rats) or saline (controls) and either remained sedentary (SED) or were forced to exercise three times per week for 40 min (EX). Motor and cognitive functions were evaluated by the open field, novel object recognition, and cylinder tests. At baseline, day 10 and 30, glial activation and dopamine synthesis were assessed by [11C]PBR28 and [18F]FDOPA PET, respectively. PET data were confirmed by immunohistochemical analysis of microglial (Iba-1) / astrocyte (GFAP) activation and tyrosine hydroxylase (TH). [11C]PBR28 PET showed increased glial activation in striatum and hippocampus of PD rats at day 10, which had resolved at day 30. Exercise completely suppressed glial activation. Imaging results correlated well with post-mortem Iba-1 staining, but not with GFAP staining. [18F]FDOPA PET, TH staining and behavioral tests indicate that 6-OHDA caused damage to dopaminergic neurons, which was partially prevented by exercise. These results show that exercise can modulate toxin-induced glial activation and neuronal damage, which can be monitored noninvasively by PET.
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Affiliation(s)
- Caroline C Real
- 1 Laboratory of Cellular Neurobiology, Department of Physiology and Biophysics, University of São Paulo, São Paulo, SP, Brazil.,2 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,3 Laboratory of Nuclear Medicine (LIM 43), University of São Paulo Medical School, University of São Paulo, São Paulo, Brazil
| | - Janine Doorduin
- 2 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Paula Kopschina Feltes
- 2 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David Vállez García
- 2 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Daniele de Paula Faria
- 3 Laboratory of Nuclear Medicine (LIM 43), University of São Paulo Medical School, University of São Paulo, São Paulo, Brazil
| | - Luiz R Britto
- 1 Laboratory of Cellular Neurobiology, Department of Physiology and Biophysics, University of São Paulo, São Paulo, SP, Brazil
| | - Erik Fj de Vries
- 2 Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Zee S, Vállez García D, Elsinga PH, Willemsen AT, Boersma HH, Gerritsen MJ, Spikman JM, Laar T. [
18
F]Fluoroethoxybenzovesamicol in Parkinson's disease patients: Quantification of a novel cholinergic positron emission tomography tracer. Mov Disord 2019; 34:924-926. [DOI: 10.1002/mds.27698] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 03/22/2019] [Accepted: 03/24/2019] [Indexed: 01/27/2023] Open
Affiliation(s)
- Sygrid Zee
- Department of NeurologyUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular ImagingUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
| | - Philip H. Elsinga
- Department of Nuclear Medicine and Molecular ImagingUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
| | - Antoon T.M. Willemsen
- Department of Nuclear Medicine and Molecular ImagingUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
| | - Hendrikus H. Boersma
- Department of Nuclear Medicine and Molecular ImagingUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
- Department of Clinical Pharmacy and PharmacologyUniversity Medical Center Groningen Groningen the Netherlands
| | - Marleen J.J. Gerritsen
- Department of NeurologyUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
| | - Jacoba M. Spikman
- Department of NeurologyUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
| | - Teus Laar
- Department of NeurologyUniversity of Groningen, University Medical Center Groningen Groningen the Netherlands
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Peretti DE, Vállez García D, Reesink FE, van der Goot T, De Deyn PP, de Jong BM, Dierckx RAJO, Boellaard R. Correction: Relative cerebral flow from dynamic PIB scans as an alternative for FDG scans in Alzheimer's disease PET studies. PLoS One 2019; 14:e0214187. [PMID: 30883613 PMCID: PMC6422286 DOI: 10.1371/journal.pone.0214187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Kolinger GD, Vállez García D, Kramer GM, Frings V, Smit EF, de Langen AJ, Dierckx RAJO, Hoekstra OS, Boellaard R. Repeatability of [ 18F]FDG PET/CT total metabolic active tumour volume and total tumour burden in NSCLC patients. EJNMMI Res 2019; 9:14. [PMID: 30734113 PMCID: PMC6367490 DOI: 10.1186/s13550-019-0481-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 01/25/2019] [Indexed: 12/15/2022] Open
Abstract
Background Total metabolic active tumour volume (TMATV) and total tumour burden (TTB) are increasingly studied as prognostic and predictive factors in non-small cell lung cancer (NSCLC) patients. In this study, we investigated the repeatability of TMATV and TTB as function of uptake interval, positron emission tomography/computed tomography (PET/CT) image reconstruction settings, and lesion delineation method. We used six lesion delineation methods, four direct PET image-derived delineations and two based on a majority vote approach, i.e. intersection between two or more delineations (MV2) and between three or more delineations (MV3). To evaluate the accuracy of those methods, they were compared with a reference delineation obtained from the consensus of the segmentations performed by three experienced observers. Ten NSCLC patients underwent two baseline whole-body [18F]2-Fluoro-2-deoxy-2-D-glucose ([18F]FDG) PET/CT studies on separate days, within 3 days. Two scans were obtained on each day at 60 and 90 min post-injection to assess the influence of tracer uptake interval. PET/CT images were reconstructed following the European Association of Nuclear Medicine Research Ltd. (EARL) compliant settings and with point-spread-function (PSF) modelling. Repeatability between the measurements of each day was determined and the influence of uptake interval, reconstruction settings, and lesion delineation method was assessed using the generalized estimating equations model. Results Based on the Jaccard index with the reference delineation, the MV2 lesion delineation method was the most successful method for automated lesion segmentation. The best overall repeatability (lowest repeatability coefficient, RC) was found for TTB from 90 min of tracer uptake scans reconstructed with EARL compliant settings and delineated with 41% of lesion’s maximum SUV method (RC = 11%). In most cases, TMATV and TTB repeatability were not significantly affected by changes in tracer uptake time or reconstruction settings. However, some lesion delineation methods had significantly different repeatability when applied to the same images. Conclusions This study suggests that under some circumstances TMATV and TTB repeatability are significantly affected by the lesion delineation method used. Performing the delineation with a majority vote approach improves reliability and does not hamper repeatability, regardless of acquisition and reconstruction settings. It is therefore concluded that by using a majority vote based tumour segmentation approach, TMATV and TTB in NSCLC patients can be measured with high reliability and precision. Electronic supplementary material The online version of this article (10.1186/s13550-019-0481-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Guilherme D Kolinger
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - David Vállez García
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Gerbrand M Kramer
- Amsterdam University Medical Centers, location VU Medical Center, Department of Radiology and Nuclear Medicine, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Virginie Frings
- Amsterdam University Medical Centers, location VU Medical Center, Department of Radiology and Nuclear Medicine, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Egbert F Smit
- Amsterdam University Medical Centers, location VU Medical Center, Department of Pulmonary Disease, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Netherlands Cancer Institute, Department of Thoracic Oncology, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Adrianus J de Langen
- Amsterdam University Medical Centers, location VU Medical Center, Department of Pulmonary Disease, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Netherlands Cancer Institute, Department of Thoracic Oncology, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Rudi A J O Dierckx
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Otto S Hoekstra
- Amsterdam University Medical Centers, location VU Medical Center, Department of Radiology and Nuclear Medicine, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Ronald Boellaard
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. .,Amsterdam University Medical Centers, location VU Medical Center, Department of Radiology and Nuclear Medicine, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
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Peretti DE, Vállez García D, Reesink FE, van der Goot T, De Deyn PP, de Jong BM, Dierckx RAJO, Boellaard R. Relative cerebral flow from dynamic PIB scans as an alternative for FDG scans in Alzheimer's disease PET studies. PLoS One 2019; 14:e0211000. [PMID: 30653612 PMCID: PMC6336325 DOI: 10.1371/journal.pone.0211000] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 01/04/2019] [Indexed: 11/29/2022] Open
Abstract
In Alzheimer’s Disease (AD) dual-tracer positron emission tomography (PET) studies with 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) and 11C-labelled Pittsburgh Compound B (PIB) are used to assess metabolism and cerebral amyloid-β deposition, respectively. Regional cerebral metabolism and blood flow (rCBF) are closely coupled, both providing an index for neuronal function. The present study compared PIB-derived rCBF, estimated by the ratio of tracer influx in target regions relative to reference region (R1) and early-stage PIB uptake (ePIB), to FDG scans. Fifteen PIB positive (+) patients and fifteen PIB negative (-) subjects underwent both FDG and PIB PET scans to assess the use of R1 and ePIB as a surrogate for FDG. First, subjects were classified based on visual inspection of the PIB PET images. Then, discriminative performance (PIB+ versus PIB-) of rCBF methods were compared to normalized regional FDG uptake. Strong positive correlations were found between analyses, suggesting that PIB-derived rCBF provides information that is closely related to what can be seen on FDG scans. Yet group related differences between method’s distributions were seen as well. Also, a better correlation with FDG was found for R1 than for ePIB. Further studies are needed to validate the use of R1 as an alternative for FDG studies in clinical applications.
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Affiliation(s)
- Débora E. Peretti
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
- * E-mail:
| | - Fransje E. Reesink
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
| | - Tim van der Goot
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
| | - Peter P. De Deyn
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
- Institute Born-Bunge, Laboratory of Neurochemistry and Behaviour, University of Antwerp, Antwerp, Antwerp, Belgium
| | - Bauke M. de Jong
- Department of Neurology, Alzheimer Research Centre, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
| | - Rudi A. J. O. Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, Groningen, The Netherlands
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Gelderman SJ, Jutte PC, Boellaard R, Ploegmakers JJW, Vállez García D, Kampinga GA, Glaudemans AWJM, Wouthuyzen-Bakker M. 18F-FDG-PET uptake in non-infected total hip prostheses. Acta Orthop 2018; 89:634-639. [PMID: 30334468 PMCID: PMC6300734 DOI: 10.1080/17453674.2018.1525931] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Background and purpose - 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) can be used in the diagnostic work-up of a patient with suspected periprosthetic joint infection (PJI) but, due to a lack of accurate interpretation criteria, this technique is not routinely applied. Since the physiological uptake pattern of FDG around a joint prosthesis is not fully elucidated, we determined the physiological FDG uptake in non-infected total hip prostheses. Patients and methods - Patients treated with primary total hip arthroplasty (1995-2016) who underwent a FDG-PET/CT for an indication other than a suspected PJI were retrospectively evaluated. Scans were both visually and quantitatively analyzed. Semi-quantitative analysis was performed by calculating maximum and peak standardized uptake values (SUVmax and SUVpeak) by volume of interests (VOIs) at 8 different locations around the prosthesis. Results - 58 scans from 30 patients were analyzed. In most hips, a diffuse heterogeneous uptake pattern around the prosthesis was observed (in 32/38 of the cemented prostheses, and in 16/20 of the uncemented prostheses) and most uptake was located around the neck of the prosthesis. The median SUVmax in the cemented group was 2.66 (95% CI 2.51-3.10) and in the uncemented group 2.87 (CI 2.65-4.63) (Median difference = -0.36 [CI -1.2 to 0.34]). In uncemented prostheses, there was a positive correlation in time between the age of the prosthesis and the FDG uptake (rs = 0.63 [CI 0.26-0.84]). Interpretation - Our study provides key data to develop accurate interpretation criteria to differentiate between physiological uptake and infection in patients with a prosthetic joint.
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Affiliation(s)
- Stefan J Gelderman
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen;; ,Correspondence:
| | - Paul C Jutte
- Department of Orthopaedic Surgery, University of Groningen, University Medical Center Groningen, Groningen;;
| | - Ronald Boellaard
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen;;
| | - Joris J W Ploegmakers
- Department of Orthopaedic Surgery, University of Groningen, University Medical Center Groningen, Groningen;;
| | - David Vállez García
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen;;
| | - Greetje A Kampinga
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andor W J M Glaudemans
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen;;
| | - Marjan Wouthuyzen-Bakker
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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45
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Zhuang M, García DV, Kramer GM, Frings V, Smit EF, Dierckx R, Hoekstra OS, Boellaard R. Variability and Repeatability of Quantitative Uptake Metrics in 18F-FDG PET/CT of Non-Small Cell Lung Cancer: Impact of Segmentation Method, Uptake Interval, and Reconstruction Protocol. J Nucl Med 2018; 60:600-607. [PMID: 30389824 DOI: 10.2967/jnumed.118.216028] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 09/24/2018] [Indexed: 12/11/2022] Open
Abstract
There is increased interest in various new quantitative uptake metrics beyond SUV in oncologic PET/CT studies. The purpose of this study was to investigate the variability and test-retest ratio (TRT) of metabolically active tumor volume (MATV) measurements and several other new quantitative metrics in non-small cell lung cancer using 18F-FDG PET/CT with different segmentation methods, user interactions, uptake intervals, and reconstruction protocols. Methods: Ten patients with advanced non-small cell lung cancer received 2 series of 2 whole-body 18F-FDG PET/CT scans at 60 min after injection and at 90 min after injection. PET data were reconstructed with 4 different protocols. Eight segmentation methods were applied to delineate lesions with and without a tumor mask. MATV, SUVmax, SUVmean, total lesion glycolysis, and intralesional heterogeneity features were derived. Variability and repeatability were evaluated using a generalized-estimating-equation statistical model with Bonferroni adjustment for multiple comparisons. The statistical model, including interaction between uptake interval and reconstruction protocol, was applied individually to the data obtained from each segmentation method. Results: Without masking, none of the segmentation methods could delineate all lesions correctly. MATV was affected by both uptake interval and reconstruction settings for most segmentation methods. Similar observations were obtained for the uptake metrics SUVmax, SUVmean, total lesion glycolysis, homogeneity, entropy, and zone percentage. No effect of uptake interval was observed on TRT metrics, whereas the reconstruction protocol affected the TRT of SUVmax Overall, segmentation methods showing poor quantitative performance in one condition showed better performance in other (combined) conditions. For some metrics, a clear statistical interaction was found between the segmentation method and both uptake interval and reconstruction protocol. Conclusion: All segmentation results need to be reviewed critically. MATV and other quantitative uptake metrics, as well as their TRT, depend on segmentation method, uptake interval, and reconstruction protocol. To obtain quantitative reliable metrics, with good TRT performance, the optimal segmentation method depends on local imaging procedure, the PET/CT system, or reconstruction protocol. Rigid harmonization of imaging procedure and PET/CT performance will be helpful in mitigating this variability.
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Affiliation(s)
- Mingzan Zhuang
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,The Key Laboratory of Digital Signal and Image Processing of Guangdong Province, Shantou University, Shantou, China
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Gerbrand M Kramer
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands; and
| | - Virginie Frings
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands; and
| | - E F Smit
- Department of Pulmonary Disease, VU University Medical Center, Amsterdam, The Netherlands
| | - Rudi Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Otto S Hoekstra
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands; and
| | - Ronald Boellaard
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands .,Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands; and
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Lopes Alves I, Vállez García D, Parente A, Doorduin J, Marques da Silva AM, Koole M, Dierckx R, Willemsen A, Boellaard R. Correction to: Parametric Imaging of [11C]Flumazenil Binding in the Rat Brain. Mol Imaging Biol 2018; 20:336. [DOI: 10.1007/s11307-017-1156-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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47
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Polinder-Bos HA, García DV, Kuipers J, Elting JWJ, Aries MJH, Krijnen WP, Groen H, Willemsen ATM, van Laar PJ, Strijkert F, Luurtsema G, Slart RHJA, Westerhuis R, Gansevoort RT, Gaillard CAJM, Franssen CFM. Hemodialysis Induces an Acute Decline in Cerebral Blood Flow in Elderly Patients. J Am Soc Nephrol 2018; 29:1317-1325. [PMID: 29496888 DOI: 10.1681/asn.2017101088] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Accepted: 01/11/2018] [Indexed: 12/30/2022] Open
Abstract
The initiation of hemodialysis is associated with an accelerated decline of cognitive function and an increased incidence of cerebrovascular accidents and white matter lesions. Investigators have hypothesized that the repetitive circulatory stress of hemodialysis induces ischemic cerebral injury, but the mechanism is unclear. We studied the acute effect of conventional hemodialysis on cerebral blood flow (CBF), measured by [15O]H2O positron emission tomography-computed tomography (PET-CT). During a single hemodialysis session, three [15O]H2O PET-CT scans were performed: before, early after the start of, and at the end of hemodialysis. We used linear mixed models to study global and regional CBF change during hemodialysis. Twelve patients aged ≥65 years (five women, seven men), with a median dialysis vintage of 46 months, completed the study. Mean (±SD) arterial BP declined from 101±11 mm Hg before hemodialysis to 93±17 mm Hg at the end of hemodialysis. From before the start to the end of hemodialysis, global CBF declined significantly by 10%±15%, from a mean of 34.5 to 30.5 ml/100g per minute (difference, -4.1 ml/100 g per minute; 95% confidence interval, -7.3 to -0.9 ml/100 g per minute; P=0.03). CBF decline (20%) was symptomatic in one patient. Regional CBF declined in all volumes of interest, including the frontal, parietal, temporal, and occipital lobes; cerebellum; and thalamus. Higher tympanic temperature, ultrafiltration volume, ultrafiltration rate, and pH significantly associated with lower CBF. Thus, conventional hemodialysis induces a significant reduction in global and regional CBF in elderly patients. Repetitive intradialytic decreases in CBF may be one mechanism by which hemodialysis induces cerebral ischemic injury.
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Affiliation(s)
| | - David Vállez García
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, and
| | | | | | - Marcel J H Aries
- Department of Intensive Care, Maastricht University Medical Center, Maastricht University, Maastricht, The Netherlands
| | - Wim P Krijnen
- Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, The Netherlands.,Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, Groningen, The Netherlands; and
| | | | - Antoon T M Willemsen
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, and
| | | | - Fijanne Strijkert
- Neuropsychology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Gert Luurtsema
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, and
| | - Riemer H J A Slart
- Medical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, and
| | | | | | - Carlo A J M Gaillard
- Division of Internal Medicine and Dermatology, Department of Nephrology, University Medical Center Utrecht, University of Utrecht, The Netherlands
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Smit M, Vállez García D, de Jong BM, Zoons E, Booij J, Dierckx RA, Willemsen AT, de Vries EF, Bartels AL, Tijssen MA. Relationships between Serotonin Transporter Binding in the Raphe Nuclei, Basal Ganglia, and Hippocampus with Clinical Symptoms in Cervical Dystonia: A [ 11C]DASB Positron Emission Tomography Study. Front Neurol 2018. [PMID: 29541052 PMCID: PMC5835525 DOI: 10.3389/fneur.2018.00088] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Purpose Alterations of the central serotonergic system have been implicated in the pathophysiology of dystonia. In this molecular imaging study, we assessed whether altered presynaptic serotonin transporter (SERT) binding contributes to the pathophysiology of cervical dystonia (CD), concerning both motor and non-motor symptoms (NMS). Methods We assessed the non-displaceable binding potential (BPND) using the selective SERT tracer [11C]DASB and positron emission tomography (PET) in 14 CD patients and 12 age- and gender-matched controls. Severity of motor symptoms was scored using the Toronto Western Spasmodic Torticollis Rating Scale and Clinical Global Impression jerks/tremor scale. NMS for depressive symptoms, anxiety, fatigue, and sleep disturbances were assessed with quantitative rating scales. The relationship between SERT binding and clinical patient characteristics was analyzed with the Spearman’s rho test and multiple regression. Results When comparing the CD patients with controls, no significant differences in BPND were found. Higher BPND in the dorsal raphe nucleus was statistically significantly correlated (p < 0.001) with motor symptom severity (rs = 0.65), pain (rs = 0.73), and sleep disturbances (rs = 0.73), with motor symptom severity being the most important predictor of SERT binding. Furthermore, fatigue was negatively associated with the BPND in the medial raphe nucleus (rs = −0.61, p = 0.045), and sleep disorders were positively associated with the BPND in the caudate nucleus (rs = 0.58, p = 0.03) and the hippocampus (rs = 0.56, p = 0.02). Conclusion Motor symptoms, as well as pain, sleep disturbances, and fatigue in CD showed a significant relationship with SERT binding in the raphe nuclei. Moreover, fatigue showed a significant relationship with the medial raphe nucleus and sleep disorders with the caudate nucleus and hippocampus. These findings suggest that an altered serotonergic signaling in different brain areas in CD is related to different motor as well as NMS, which will further stimulate research on the role of serotonin in the pathogenesis of dystonia.
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Affiliation(s)
- Marenka Smit
- Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
| | - Bauke M de Jong
- Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
| | - Evelien Zoons
- Department of Neurology, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, Netherlands
| | - Jan Booij
- Department of Nuclear Medicine and Molecular Imaging, Academic Medical Center (AMC), University of Amsterdam, Amsterdam, Netherlands
| | - Rudi A Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
| | - Antoon T Willemsen
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
| | - Erik F de Vries
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
| | - Anna L Bartels
- Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands.,Department of Neurology, Ommelander Hospital Group, Groningen, Netherlands
| | - Marina A Tijssen
- Department of Neurology, University Medical Center Groningen (UMCG), University of Groningen, Groningen, Netherlands
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Vállez García D, Doorduin J, de Paula Faria D, Dierckx RAJO, de Vries EFJ. Effect of Preventive and Curative Fingolimod Treatment Regimens on Microglia Activation and Disease Progression in a Rat Model of Multiple Sclerosis. J Neuroimmune Pharmacol 2017; 12:521-530. [PMID: 28361437 PMCID: PMC5527053 DOI: 10.1007/s11481-017-9741-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 03/23/2017] [Indexed: 11/29/2022]
Abstract
Fingolimod was the first oral drug approved for multiple sclerosis treatment. Its principal mechanism of action is blocking of lymphocyte trafficking. In addition, recent studies have shown its capability to diminish microglia activation. The effect of preventive and curative fingolimod treatment on the time-course of neuroinflammation was investigated in the experimental autoimmune encephalomyelitis rat model for multiple sclerosis. Neuroinflammatory progression was followed in Dark Agouti female rats after immunization. Positron-Emission tomography (PET) imaging with (R)-[11C]PK11195 was performed on day 11, 15, 19, 27, 29 and 34 during normal disease progression, preventive and curative treatments with fingolimod (1 mg/kg/day). Additionally, bodyweight and clinical symptoms were determined. Preventive treatment diminished bodyweight loss and inhibited the appearance of neurological symptoms. In non-treated rats, PET showed that neuroinflammation peaked in the brainstem at day 19, whereas the imaging signal was decreased in cortical regions. Both preventive and curative treatment reduced neuroinflammation in the brainstem at day 19. Eight days after treatment withdrawal, neuroinflammation had flared-up, especially in cortical regions. Preventive treatment with fingolimod suppressed clinical symptoms and neuroinflammation in the brainstem. After treatment withdrawal, clinical symptoms reappeared together with neuroinflammation in cortical regions, suggesting a different pathway of disease progression.
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Affiliation(s)
- David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Daniele de Paula Faria
- Department of Radiology and Oncology, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB Groningen, The Netherlands
| | - Erik F J de Vries
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30.001, 9700 RB Groningen, The Netherlands.
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50
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Parente A, Vállez García D, Shoji A, Lopes Alves I, Maas B, Zijlma R, Dierckx RA, Buchpiguel CA, de Vries EF, Doorduin J. Contribution of neuroinflammation to changes in [ 11C]flumazenil binding in the rat brain: Evaluation of the inflamed pons as reference tissue. Nucl Med Biol 2017; 49:50-56. [PMID: 28364664 DOI: 10.1016/j.nucmedbio.2017.03.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 02/09/2017] [Accepted: 03/10/2017] [Indexed: 11/17/2022]
Abstract
INTRODUCTION [11C]Flumazenil is a well-known PET tracer for GABAA receptors and is mainly used as an imaging biomarker for neuronal loss. Recently, GABAA receptors on immune cells have been investigated as target for modulation of inflammation. Since neuronal loss is often accompanied by neuroinflammation, PET imaging with [11C]flumazenil is potentially affected by infiltrating immune cells. This may also compromise the validity of using the pons as reference tissue in quantitative pharmacokinetic analysis. This study aims to evaluate whether inflammatory processes in the brain can influence [11C]flumazenil uptake and affect the outcome of pharmacokinetic modeling when the pons is used as reference tissue. METHODS The herpes simplex encephalitis (HSE) rat model is known to cause neuroinflammation in the brainstem. Dynamic [11C]flumazenil PET scans of 60-min, accompanied by arterial blood sampling and metabolite analysis, were acquired at day 6-7days post-infection of male Wistar rats (HSE, n=5 and control, n=6). Additionally, the GABAA receptor was saturated by injection of unlabeled flumazenil prior to the tracer injection in 4 rats per group. PET data were analyzed by pharmacokinetic modeling. RESULTS No statistically significant differences were found in the volume of distribution (VT) or non-displaceable binding potential (BPND) between control and HSE rats in any of the brain regions. Pre-saturation with unlabeled flumazenil resulted in a statistically significant reduction in [11C]flumazenil VT in all brain regions. The BPND obtained from SRTM exhibited a good correlation to DVR - 1 values from the two-tissue compartment model, coupled with some level of underestimation. CONCLUSION Reliable quantification of [11C]flumazenil binding in rats can be obtained by pharmacokinetic analysis using the pons as a pseudo-reference tissue even in the presence of strong acute neuroinflammation.
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Affiliation(s)
- Andrea Parente
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David Vállez García
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Alexandre Shoji
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; Center of Nuclear Medicine, University of Sao Paulo, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Isadora Lopes Alves
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bram Maas
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rolf Zijlma
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Rudi Ajo Dierckx
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Carlos A Buchpiguel
- Center of Nuclear Medicine, University of Sao Paulo, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Erik Fj de Vries
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
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