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

Autor: Federica Agosta, Javier Arbizu, Peter J. Nestor, Alexander Drzezga, Stefania Orini, Daniele Altomare, Cristina Festari, Femke H. Bouwman, Flavio Nobili, Koen Van Laere, Zuzana Walker, Marina Boccardi
Přispěvatelé: Nobili, Flavio, Festari, Cristina, Altomare, Daniele, Agosta, Federica, Orini, Stefania, Van Laere, Koen, Arbizu, Javier, Bouwman, Femke, Drzezga, Alexander, Nestor, Peter, Walker, Zuzana, Boccardi, Marina
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Radiology
Nuclear Medicine and Imaging
medicine.medical_specialty
diagnostic imaging [Neurodegenerative Diseases]
MEDLINE
Sensitivity and Specificity
Lower limit
030218 nuclear medicine & medical imaging
Diagnosis
Differential
03 medical and health sciences
0302 clinical medicine
Fluorodeoxyglucose F18
Semi-quantitative assessment
Medicine
Dementia
Humans
Radiology
Nuclear Medicine and imaging
In patient
Medical physics
ddc:610
diagnostic imaging [Dementia]
computer.programming_language
Neurodegenerative Disease
business.industry
Brain FDG-PET
Dementia
Neurodegenerative diseases
Semi-quantitative assessment
Visual reading
Neurodegenerative Diseases
General Medicine
Dementia/diagnostic imaging
medicine.disease
Neurodegenerative Diseases/diagnostic imaging
Quality of evidence
Positron-Emission Tomography
ddc:618.97
Visual reading
Brain FDG-PET
Differential diagnosis
business
computer
030217 neurology & neurosurgery
Delphi
Human
Zdroj: European Journal of Nuclear Medicine and Molecular Imaging, Vol. 45, No 9 (2018) pp. 1557-1566
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
European journal of nuclear medicine and molecular imaging 45(9), 1557-1566 (2018). doi:10.1007/s00259-018-4030-3
ISSN: 1619-7070
DOI: 10.1007/s00259-018-4030-3
Popis: 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. ispartof: European Journal Of Nuclear Medicine And Molecular Imaging vol:45 issue:9 pages:1557-1566 ispartof: location:Germany status: published
Databáze: OpenAIRE
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