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

for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders

Research output: Contribution to journalReview article

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.

Original languageEnglish
Pages (from-to)1557-1566
Number of pages10
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume45
Issue number9
DOIs
Publication statusPublished - Jul 1 2018

Fingerprint

Neurodegenerative Diseases
Differential Diagnosis
Nuclear Medicine
Brain
Autopsy
Physicians

Keywords

  • Brain FDG-PET
  • Dementia
  • Neurodegenerative diseases
  • Semi-quantitative assessment
  • Visual reading

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders. / for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders.

In: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 45, No. 9, 01.07.2018, p. 1557-1566.

Research output: Contribution to journalReview article

for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders 2018, 'Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders', European Journal of Nuclear Medicine and Molecular Imaging, vol. 45, no. 9, pp. 1557-1566. https://doi.org/10.1007/s00259-018-4030-3
for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders. Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders. European Journal of Nuclear Medicine and Molecular Imaging. 2018 Jul 1;45(9):1557-1566. https://doi.org/10.1007/s00259-018-4030-3
for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders. / Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders. In: European Journal of Nuclear Medicine and Molecular Imaging. 2018 ; Vol. 45, No. 9. pp. 1557-1566.
@article{a2983dfc9fce4f168d7b18a237466ce7,
title = "Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders",
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.",
keywords = "Brain FDG-PET, Dementia, Neurodegenerative diseases, Semi-quantitative assessment, Visual reading",
author = "{for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders} and Flavio Nobili and Cristina Festari and Daniele Altomare and Federica Agosta and Stefania Orini and {Van Laere}, Koen and Javier Arbizu and Femke Bouwman and Alexander Drzezga and Peter Nestor and Zuzana Walker and Marina Boccardi",
year = "2018",
month = "7",
day = "1",
doi = "10.1007/s00259-018-4030-3",
language = "English",
volume = "45",
pages = "1557--1566",
journal = "European Journal of Pediatrics",
issn = "0340-6199",
publisher = "Springer Berlin Heidelberg",
number = "9",

}

TY - JOUR

T1 - Automated assessment of FDG-PET for differential diagnosis in patients with neurodegenerative disorders

AU - for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders

AU - Nobili, Flavio

AU - Festari, Cristina

AU - Altomare, Daniele

AU - Agosta, Federica

AU - Orini, Stefania

AU - Van Laere, Koen

AU - Arbizu, Javier

AU - Bouwman, Femke

AU - Drzezga, Alexander

AU - Nestor, Peter

AU - Walker, Zuzana

AU - Boccardi, Marina

PY - 2018/7/1

Y1 - 2018/7/1

N2 - 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.

AB - 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.

KW - Brain FDG-PET

KW - Dementia

KW - Neurodegenerative diseases

KW - Semi-quantitative assessment

KW - Visual reading

UR - http://www.scopus.com/inward/record.url?scp=85049596543&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049596543&partnerID=8YFLogxK

U2 - 10.1007/s00259-018-4030-3

DO - 10.1007/s00259-018-4030-3

M3 - Review article

AN - SCOPUS:85049596543

VL - 45

SP - 1557

EP - 1566

JO - European Journal of Pediatrics

JF - European Journal of Pediatrics

SN - 0340-6199

IS - 9

ER -