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Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging 9/2018

02.05.2018 | Review Article

Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders

verfasst von: Flavio Nobili, Cristina Festari, Daniele Altomare, Federica Agosta, Stefania Orini, Koen Van Laere, Javier Arbizu, Femke Bouwman, Alexander Drzezga, Peter Nestor, Zuzana Walker, Marina Boccardi, For the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders

Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging | Ausgabe 9/2018

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Abstract

Purpose

To review literature until November 2015 and reach a consensus on whether automatic semi-quantification of brain FDG-PET is useful in the clinical setting for neurodegenerative disorders.

Methods

A literature search was conducted in Medline, Embase, and Google Scholar. Papers were selected with a lower limit of 30 patients (no limits with autopsy confirmation). Consensus recommendations were developed through a Delphi procedure, based on the expertise of panelists, who were also informed about the availability and quality of evidence, assessed by an independent methodology team.

Results

Critical outcomes were available in nine among the 17 papers initially selected. Only three papers performed a direct comparison between visual and automated assessment and quantified the incremental value provided by the latter. Sensitivity between visual and automatic analysis is similar but automatic assessment generally improves specificity and marginally accuracy. Also, automated assessment increases diagnostic confidence. As expected, performance of visual analysis is reported to depend on the expertise of readers.

Conclusions

Tools for semi-quantitative evaluation are recommended to assist the nuclear medicine physician in reporting brain FDG-PET pattern in neurodegenerative conditions. However, heterogeneity, complexity, and drawbacks of these tools should be known by users to avoid misinterpretation. Head-to-head comparisons and an effort to harmonize procedures are encouraged.
Literatur
1.
Zurück zum Zitat Nobili F, Arbizu J, Bouwman F, Drzezga A, Filippi M, Nestor P, et al. EAN-EANM recommendations for the use of brain 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET) in neurodegenerative cognitive impairment and dementia: Delphi consensus. Eur J Neurol. (EJoN-18-0310; Submitted, March 13, 2018). Nobili F, Arbizu J, Bouwman F, Drzezga A, Filippi M, Nestor P, et al. EAN-EANM recommendations for the use of brain 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET) in neurodegenerative cognitive impairment and dementia: Delphi consensus. Eur J Neurol. (EJoN-18-0310; Submitted, March 13, 2018).
2.
Zurück zum Zitat Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Någren K, et al. EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2. Eur J Nucl Med Mol Imaging. 2009;36:2103–10.CrossRefPubMed Varrone A, Asenbaum S, Vander Borght T, Booij J, Nobili F, Någren K, et al. EANM procedure guidelines for PET brain imaging using [18F]FDG, version 2. Eur J Nucl Med Mol Imaging. 2009;36:2103–10.CrossRefPubMed
3.
Zurück zum Zitat Friston K, Holmes A, Worsley K, Poline J, Frith C, Frackowiak R. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp. 1994;2:189–210.CrossRef Friston K, Holmes A, Worsley K, Poline J, Frith C, Frackowiak R. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp. 1994;2:189–210.CrossRef
4.
Zurück zum Zitat Signorini M, Paulesu E, Friston K, Perani D, Colleluori A, Lucignani G, et al. Rapid assessment of regional cerebral metabolic abnormalities in single subjects with quantitative and nonquantitative [18F]FDG PET: a clinical validation of statistical parametric mapping. NeuroImage. 1999;9:63–80.CrossRefPubMed Signorini M, Paulesu E, Friston K, Perani D, Colleluori A, Lucignani G, et al. Rapid assessment of regional cerebral metabolic abnormalities in single subjects with quantitative and nonquantitative [18F]FDG PET: a clinical validation of statistical parametric mapping. NeuroImage. 1999;9:63–80.CrossRefPubMed
5.
Zurück zum Zitat Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, et al. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting. NeuroImage Clin. 2014;6:445–54.CrossRefPubMedPubMedCentral Perani D, Della Rosa PA, Cerami C, Gallivanone F, Fallanca F, Vanoli EG, et al. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting. NeuroImage Clin. 2014;6:445–54.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Della Rosa PA, Cerami C, Gallivanone F, Prestia A, Caroli A, Castiglioni I, et al. A standardized [18F]-FDG-PET template for spatial normalization in statistical parametric mapping of dementia. Neuroinformatics. 2014;12:575–93.CrossRefPubMed Della Rosa PA, Cerami C, Gallivanone F, Prestia A, Caroli A, Castiglioni I, et al. A standardized [18F]-FDG-PET template for spatial normalization in statistical parametric mapping of dementia. Neuroinformatics. 2014;12:575–93.CrossRefPubMed
7.
Zurück zum Zitat Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med. 1995;36:1238–48.PubMed Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med. 1995;36:1238–48.PubMed
8.
Zurück zum Zitat Herholz K, Salmon E, Perani D, Baron JC, Holthoff V, Frölich L, et al. Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. NeuroImage. 2002;17:302–16.CrossRefPubMed Herholz K, Salmon E, Perani D, Baron JC, Holthoff V, Frölich L, et al. Discrimination between Alzheimer dementia and controls by automated analysis of multicenter FDG PET. NeuroImage. 2002;17:302–16.CrossRefPubMed
9.
Zurück zum Zitat Caroli A, Prestia A, Chen K, Ayutyanont N, Landau SM, Madison CM, et al. Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison. J Nucl Med. 2012;53:592–600.CrossRefPubMedPubMedCentral Caroli A, Prestia A, Chen K, Ayutyanont N, Landau SM, Madison CM, et al. Summary metrics to assess Alzheimer disease-related hypometabolic pattern with 18F-FDG PET: head-to-head comparison. J Nucl Med. 2012;53:592–600.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Chen K, Ayutyanont N, Langbaum JBS, Fleisher AS, Reschke C, Lee W, et al. Characterizing Alzheimer’s disease using a hypometabolic convergence index. NeuroImage. 2011;56:52–60.CrossRefPubMedPubMedCentral Chen K, Ayutyanont N, Langbaum JBS, Fleisher AS, Reschke C, Lee W, et al. Characterizing Alzheimer’s disease using a hypometabolic convergence index. NeuroImage. 2011;56:52–60.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Landau SM, Harvey D, Madison CM, Koeppe RA, Reiman EM, Foster NL, et al. Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol Aging. 2011;32:1207–18.CrossRefPubMed Landau SM, Harvey D, Madison CM, Koeppe RA, Reiman EM, Foster NL, et al. Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiol Aging. 2011;32:1207–18.CrossRefPubMed
12.
Zurück zum Zitat Pagani M, De Carli F, Morbelli S, Öberg J, Chincarini A, Frisoni GB, et al. Volume of interest-based [18F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer’s disease from healthy controls. A European Alzheimer’s disease consortium (EADC) study. NeuroImage Clin. 2015;7:34–42.CrossRefPubMed Pagani M, De Carli F, Morbelli S, Öberg J, Chincarini A, Frisoni GB, et al. Volume of interest-based [18F]fluorodeoxyglucose PET discriminates MCI converting to Alzheimer’s disease from healthy controls. A European Alzheimer’s disease consortium (EADC) study. NeuroImage Clin. 2015;7:34–42.CrossRefPubMed
13.
Zurück zum Zitat Boccardi M, Festari C, Altomare D, Gandolfo F, Orini S, Nobili F, et al. Assessing accuracy diagnostic FDG-PET studies to define clinical use for dementia diagnosis. EJNMMI. Boccardi M, Festari C, Altomare D, Gandolfo F, Orini S, Nobili F, et al. Assessing accuracy diagnostic FDG-PET studies to define clinical use for dementia diagnosis. EJNMMI.
14.
Zurück zum Zitat Leone MA, Brainin M, Boon P, Pugliatti M, Keindl M, Bassetti CL. Guidance for the preparation of neurological management guidelines by EFNS scientific task forces—revised recommendations 2012. Eur J Neurol. 2013;20:410–9.CrossRefPubMed Leone MA, Brainin M, Boon P, Pugliatti M, Keindl M, Bassetti CL. Guidance for the preparation of neurological management guidelines by EFNS scientific task forces—revised recommendations 2012. Eur J Neurol. 2013;20:410–9.CrossRefPubMed
15.
Zurück zum Zitat Patterson JC, Lilien DL, Takalkar A, Kelley RE, Minagar A. Potential value of quantitative analysis of cerebral PET in early cognitive decline. Am J Alzheimers Dis Other Demen. 2009;23:586–92.CrossRef Patterson JC, Lilien DL, Takalkar A, Kelley RE, Minagar A. Potential value of quantitative analysis of cerebral PET in early cognitive decline. Am J Alzheimers Dis Other Demen. 2009;23:586–92.CrossRef
16.
Zurück zum Zitat Von Borczyskowski D, Wilke F, Martin B, Brenner W, Clausen M, Mester J, et al. Evaluation of a new expert system for fully automated detection of the Alzheimer’s dementia pattern in FDG PET. J Nucl Med. 2006;27:739–43. Von Borczyskowski D, Wilke F, Martin B, Brenner W, Clausen M, Mester J, et al. Evaluation of a new expert system for fully automated detection of the Alzheimer’s dementia pattern in FDG PET. J Nucl Med. 2006;27:739–43.
17.
Zurück zum Zitat Lehman VT, Carter RE, Claassen DO, Murphy RC, Lowe V, Petersen RC, et al. Visual assessment versus quantitative three-dimensional stereotactic surface projection fluorodeoxyglucose positron emission tomography for detection of mild cognitive impairment and Alzheimer disease. Clin Nucl Med. 2012;37:721–6.CrossRefPubMed Lehman VT, Carter RE, Claassen DO, Murphy RC, Lowe V, Petersen RC, et al. Visual assessment versus quantitative three-dimensional stereotactic surface projection fluorodeoxyglucose positron emission tomography for detection of mild cognitive impairment and Alzheimer disease. Clin Nucl Med. 2012;37:721–6.CrossRefPubMed
18.
Zurück zum Zitat Burdette JH, Minoshima S, Vander Borght T, Tran DD, Kuhl DE. Alzheimer disease: improved visual interpretation of PET images by using three-dimensional stereotaxic surface projections. Radiology. 1996;198:837–43.CrossRefPubMed Burdette JH, Minoshima S, Vander Borght T, Tran DD, Kuhl DE. Alzheimer disease: improved visual interpretation of PET images by using three-dimensional stereotaxic surface projections. Radiology. 1996;198:837–43.CrossRefPubMed
19.
Zurück zum Zitat Ishii K, Kono AK, Sasaki H, Miyamoto N, Fukuda T, Sakamoto S, et al. Fully automatic diagnostic system for early- and late-onset mild Alzheimer’s disease using FDG PET and 3D-SSP. Eur J Nucl Med Mol Imaging. 2006;33:575–83.CrossRefPubMed Ishii K, Kono AK, Sasaki H, Miyamoto N, Fukuda T, Sakamoto S, et al. Fully automatic diagnostic system for early- and late-onset mild Alzheimer’s disease using FDG PET and 3D-SSP. Eur J Nucl Med Mol Imaging. 2006;33:575–83.CrossRefPubMed
20.
Zurück zum Zitat Kono AK, Ishii K, Sofue K, Miyamoto N, Sakamoto S, Mori E. Fully automatic differential diagnosis system for dementia with Lewy bodies and Alzheimer’s disease using FDG-PET and 3D-SSP. Eur J Nucl Med Mol Imaging. 2007;34:1490–7.CrossRefPubMed Kono AK, Ishii K, Sofue K, Miyamoto N, Sakamoto S, Mori E. Fully automatic differential diagnosis system for dementia with Lewy bodies and Alzheimer’s disease using FDG-PET and 3D-SSP. Eur J Nucl Med Mol Imaging. 2007;34:1490–7.CrossRefPubMed
21.
Zurück zum Zitat Morbelli S, Brugnolo A, Bossert I, Buschiazzo A, Frisoni GB, Galluzzi S, et al. Visual versus semi-quantitative analysis of 18F-FDG-PET in amnestic MCI: an European Alzheimer’s Disease Consortium (EADC) project. J Alzheimers Dis. 2015;44:815–26.CrossRefPubMed Morbelli S, Brugnolo A, Bossert I, Buschiazzo A, Frisoni GB, Galluzzi S, et al. Visual versus semi-quantitative analysis of 18F-FDG-PET in amnestic MCI: an European Alzheimer’s Disease Consortium (EADC) project. J Alzheimers Dis. 2015;44:815–26.CrossRefPubMed
22.
Zurück zum Zitat Ng S, Villemagne VL, Berlangieri S, Lee S-T, Cherk M, Gong SJ, et al. Visual assessment versus quantitative assessment of 11C-PIB PET and 18F-FDG PET for detection of Alzheimer’s disease. J Nucl Med. 2007;48:547–52.CrossRefPubMed Ng S, Villemagne VL, Berlangieri S, Lee S-T, Cherk M, Gong SJ, et al. Visual assessment versus quantitative assessment of 11C-PIB PET and 18F-FDG PET for detection of Alzheimer’s disease. J Nucl Med. 2007;48:547–52.CrossRefPubMed
23.
Zurück zum Zitat Rabinovici GD, Rosen HJ, Alkalay A, Kornak J, Furst AJ, Agarwal N, et al. Amyloid vs. FDG-PET in the differential diagnosis of AD and FTLD. Neurology. 2011;77:2034–42.CrossRefPubMedPubMedCentral Rabinovici GD, Rosen HJ, Alkalay A, Kornak J, Furst AJ, Agarwal N, et al. Amyloid vs. FDG-PET in the differential diagnosis of AD and FTLD. Neurology. 2011;77:2034–42.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Foster NL, Heidebrink JL, Clark CM, Jagust WJ, Arnold SE, Barbas NR, et al. FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease. Brain. 2007;130:2616–35.CrossRefPubMed Foster NL, Heidebrink JL, Clark CM, Jagust WJ, Arnold SE, Barbas NR, et al. FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer’s disease. Brain. 2007;130:2616–35.CrossRefPubMed
25.
Zurück zum Zitat Frisoni GB, Bocchetta M, Chételat G, Rabinovici GD, De Leon MJ, Kaye J, et al. Imaging markers for Alzheimer disease: which vs. how. Neurology. 2013. p. 487–500.CrossRefPubMedPubMedCentral Frisoni GB, Bocchetta M, Chételat G, Rabinovici GD, De Leon MJ, Kaye J, et al. Imaging markers for Alzheimer disease: which vs. how. Neurology. 2013. p. 487–500.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Yakushev I, Hammers A, Fellgiebel A, Schmidtmann I, Scheurich A, Buchholz HG, et al. SPM-based count normalization provides excellent discrimination of mild Alzheimer’s disease and amnestic mild cognitive impairment from healthy aging. NeuroImage. 2009;44:43–50.CrossRefPubMed Yakushev I, Hammers A, Fellgiebel A, Schmidtmann I, Scheurich A, Buchholz HG, et al. SPM-based count normalization provides excellent discrimination of mild Alzheimer’s disease and amnestic mild cognitive impairment from healthy aging. NeuroImage. 2009;44:43–50.CrossRefPubMed
27.
Zurück zum Zitat Moher D, Liberati A, Tetzlaff J. ADPG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009;62:1006–12.CrossRefPubMed Moher D, Liberati A, Tetzlaff J. ADPG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol. 2009;62:1006–12.CrossRefPubMed
Metadaten
Titel
Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders
verfasst von
Flavio Nobili
Cristina Festari
Daniele Altomare
Federica Agosta
Stefania Orini
Koen Van Laere
Javier Arbizu
Femke Bouwman
Alexander Drzezga
Peter Nestor
Zuzana Walker
Marina Boccardi
For the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders
Publikationsdatum
02.05.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
European Journal of Nuclear Medicine and Molecular Imaging / Ausgabe 9/2018
Print ISSN: 1619-7070
Elektronische ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-018-4030-3

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