18F-FDG-PET/MRI in the diagnostic work-up of limbic encephalitis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 26 11 2019
accepted: 02 01 2020
entrez: 18 1 2020
pubmed: 18 1 2020
medline: 15 4 2020
Statut: epublish

Résumé

Limbic encephalitis (LE) is an immune-related, sometimes paraneoplastic process of the central nervous system. Initial diagnosis and treatment are based on the clinical presentation as well as antibody profiles and MRI. This study investigated the diagnostic value of integrated 18F-FDG-PET/MRI in the diagnostic work-up of patients with LE for a cerebral and whole-body imaging concept. Twenty patients with suspected LE were enrolled in this prospective study. All patients underwent a dedicated PET/MRI protocol of the brain as well as the whole-body. Two neuroradiologists, one body radiologist and one nuclear medicine physician performed blinded consensus readings of each corresponding MRI and PET/MRI dataset of the brain and whole-body. Diagnostic confidence was evaluated on a Likert scale. Based on integrated PET/MRI 19 / 20 patients were found to show morphologic and / or metabolic changes indicative of LE, whereas sole MRI enabled correct identification in 16 / 20 patients. Three patients with negative MRI showed metabolic changes of the limbic system or extra-limbic regions, shifting the diagnosis from (negative) MRI to positive for LE in PET/MRI. Whole-body staging revealed suspected lesions in 2/20 patients, identified by MRI and PET, one confirmed as malignant and one false positive. Diagnostic confidence for cerebral and whole-body imaging reached higher scores for PET/MRI (cerebral: 2.7 and whole body: 4.8) compared to MRI alone (cerebral: 2.4 and whole body: 4.5). LE diagnosis remains challenging for imaging as it shows only subtle imaging findings in most patients. Nevertheless, based on the simultaneous and combined analysis of morphologic and metabolic data, integrated PET/MRI may enable a dual platform for improved diagnostic confidence and overall detection of LE as well as whole-body imaging for exclusion of paraneoplastic LE.

Identifiants

pubmed: 31951636
doi: 10.1371/journal.pone.0227906
pii: PONE-D-19-32756
pmc: PMC6968877
doi:

Substances chimiques

Contrast Media 0
Fluorodeoxyglucose F18 0Z5B2CJX4D

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0227906

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Cornelius Deuschl (C)

Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Theodor Rüber (T)

Department of Epileptology, University of Bonn, Bonn, Germany.

Leon Ernst (L)

Department of Epileptology, University of Bonn, Bonn, Germany.

Wolfgang P Fendler (WP)

Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Julian Kirchner (J)

Department of Diagnostic and Interventional Radiology, University Duesseldorf, Medical Faculty, Duesseldorf, Germany.

Christoph Mönninghoff (C)

Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Clinic for Neuroradiology, Clemenshospital Muenster, Muenster, Germany.

Ken Herrmann (K)

Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Carlos M Quesada (CM)

Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Michael Forsting (M)

Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Christian E Elger (CE)

Department of Epileptology, University of Bonn, Bonn, Germany.

Lale Umutlu (L)

Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

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