A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia

[ 18 F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ 18 F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistic...

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Published inNeuroinformatics (Totowa, N.J.) Vol. 12; no. 4; pp. 575 - 593
Main Authors Della Rosa, Pasquale Anthony, Cerami, Chiara, Gallivanone, Francesca, Prestia, Annapaola, Caroli, Anna, Castiglioni, Isabella, Gilardi, Maria Carla, Frisoni, Giovanni, Friston, Karl, Ashburner, John, Perani, Daniela
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.10.2014
Springer
Springer Nature B.V
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Abstract [ 18 F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ 18 F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a “spatial normalization” of an individual’s PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [ 15 O]-H 2 O images and does not resemble either the specific metabolic features of [ 18 F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [ 18 F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template—at the single-subject and group level—independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer’s Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.
AbstractList [^sup 18^F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [^sup 18^F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [^sup 15^O]-H2O images and does not resemble either the specific metabolic features of [^sup 18^F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [^sup 18^F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template--at the single-subject and group level--independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.[PUBLICATION ABSTRACT]
[18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [18F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [15O]-H2O images and does not resemble either the specific metabolic features of [18F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [18F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template-at the single-subject and group level-independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.
[ super(18)F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ super(18)F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a "spatial normalization" of an individual's PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [ super(15)O]-H sub(2)O images and does not resemble either the specific metabolic features of [ super(18)F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [ super(18)F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template-at the single-subject and group level-independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer's Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.
[ 18 F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed through changes in cerebral glucose metabolism. [ 18 F]-FDG PET scans can be analyzed using voxel-based statistical methods such as Statistical Parametric Mapping (SPM) that provide statistical maps of brain abnormalities in single patients. In order to perform SPM, a “spatial normalization” of an individual’s PET scan is required to match a reference PET template. The PET template currently used for SPM normalization is based on [ 15 O]-H 2 O images and does not resemble either the specific metabolic features of [ 18 F]-FDG brain scans or the specific morphological characteristics of individual brains affected by neurodegeneration. Thus, our aim was to create a new [ 18 F]-FDG PET aging and dementia-specific template for spatial normalization, based on images derived from both age-matched controls and patients. We hypothesized that this template would increase spatial normalization accuracy and thereby preserve crucial information for research and diagnostic purposes. We investigated the statistical sensitivity and registration accuracy of normalization procedures based on the standard and new template—at the single-subject and group level—independently for subjects with Mild Cognitive Impairment (MCI), probable Alzheimer’s Disease (AD), Frontotemporal lobar degeneration (FTLD) and dementia with Lewy bodies (DLB). We found a significant statistical effect of the population-specific FDG template-based normalisation in key anatomical regions for each dementia subtype, suggesting that spatial normalization with the new template provides more accurate estimates of metabolic abnormalities for single-subject and group analysis, and therefore, a more effective diagnostic measure.
Author Frisoni, Giovanni
Della Rosa, Pasquale Anthony
Caroli, Anna
Friston, Karl
Castiglioni, Isabella
Gilardi, Maria Carla
Perani, Daniela
Cerami, Chiara
Prestia, Annapaola
Ashburner, John
Gallivanone, Francesca
Author_xml – sequence: 1
  givenname: Pasquale Anthony
  surname: Della Rosa
  fullname: Della Rosa, Pasquale Anthony
  email: pasquale.dellarosa@ibfm.cnr.it
  organization: Institute of Molecular Bioimaging and Physiology, National Research Council
– sequence: 2
  givenname: Chiara
  surname: Cerami
  fullname: Cerami, Chiara
  organization: Vita-Salute San Raffaele University, Clinical Neurosciences Department, San Raffaele Hospital, Division of Neuroscience, San Raffaele Scientific Institute
– sequence: 3
  givenname: Francesca
  surname: Gallivanone
  fullname: Gallivanone, Francesca
  organization: Institute of Molecular Bioimaging and Physiology, National Research Council
– sequence: 4
  givenname: Annapaola
  surname: Prestia
  fullname: Prestia, Annapaola
  organization: IRCCS Centre San Giovanni di Dio - Fatebenefratelli, Laboratory of Epidemiology and Neuroimaging
– sequence: 5
  givenname: Anna
  surname: Caroli
  fullname: Caroli, Anna
  organization: Medical Imaging Unit, Bioengineering Department, IRCCS Mario Negri Institute for Pharmacological Research
– sequence: 6
  givenname: Isabella
  surname: Castiglioni
  fullname: Castiglioni, Isabella
  organization: Institute of Molecular Bioimaging and Physiology, National Research Council
– sequence: 7
  givenname: Maria Carla
  surname: Gilardi
  fullname: Gilardi, Maria Carla
  organization: Institute of Molecular Bioimaging and Physiology, National Research Council, University of Milan - Bicocca, Department of Health Sciences
– sequence: 8
  givenname: Giovanni
  surname: Frisoni
  fullname: Frisoni, Giovanni
  organization: IRCCS Centre San Giovanni di Dio - Fatebenefratelli, Laboratory of Epidemiology and Neuroimaging, Department of Psychiatry, Geneva University Hospital and University of Geneva
– sequence: 9
  givenname: Karl
  surname: Friston
  fullname: Friston, Karl
  organization: Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London
– sequence: 10
  givenname: John
  surname: Ashburner
  fullname: Ashburner, John
  organization: Wellcome Trust Centre for Neuroimaging
– sequence: 11
  givenname: Daniela
  surname: Perani
  fullname: Perani, Daniela
  email: perani.daniela@hsr.it
  organization: Vita-Salute San Raffaele University, Nuclear Medicine Unit, San Raffaele Hospital, Division of Neuroscience, San Raffaele Scientific Institute
BackLink http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28917585$$DView record in Pascal Francis
https://www.ncbi.nlm.nih.gov/pubmed/24952892$$D View this record in MEDLINE/PubMed
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Didic, Mira
Van Berckel, Bart N
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Frisoni, Giovanni
Nobili, Flavio
Morbelli, Silvia
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2015 INIST-CNRS
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Mon Jul 21 06:00:56 EDT 2025
Fri Nov 25 06:04:26 EST 2022
Tue Jul 01 04:24:52 EDT 2025
Thu Apr 24 23:08:00 EDT 2025
Fri Feb 21 02:26:54 EST 2025
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Issue 4
Keywords F-FDG PET
Spatial normalization
SPM (RRID:nif-0000-00343)
Template
Dementia
F-FDGPET
Brain
2-deoxy-2-fluoroglucose
Statistical analysis
Probabilistic approach
Pathophysiology
Alzheimer disease
Ageing
Normal form
Central nervous system
Glucose
Scintigraphy
Metabolism
Statistical method
Positron computed tomography
Morphology
Voxel
Tridimensional image
Diagnosis
Positron emission tomography
Language English
License CC BY 4.0
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Snippet [ 18 F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed...
[18F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as assessed...
[^sup 18^F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as...
[ super(18)F]-fluorodeoxyglucose (FDG) Positron Emission Tomography (PET) is a widely used diagnostic tool that can detect and quantify pathophysiology, as...
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SubjectTerms Aged
Aged, 80 and over
Applied sciences
Artificial intelligence
Bioinformatics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Brain - diagnostic imaging
Brain Mapping - methods
Case-Control Studies
Cognitive Dysfunction - diagnostic imaging
Cognitive Dysfunction - physiopathology
Cognitive Dysfunction - psychology
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Computer science; control theory; systems
Dementia
Dementia - diagnostic imaging
Dementia - physiopathology
Dementia - psychology
Exact sciences and technology
Female
Fluorodeoxyglucose F18
Geriatrics
Humans
Image Processing, Computer-Assisted - methods
Investigative techniques, diagnostic techniques (general aspects)
Male
Medical sciences
Middle Aged
Neurology
Neurosciences
Original Article
Pattern recognition. Digital image processing. Computational geometry
Positron-Emission Tomography - methods
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Sensitivity and Specificity
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Title A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia
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https://www.ncbi.nlm.nih.gov/pubmed/24952892
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