Quantitative brain 18F‐FDG PET/CT analysis in seronegative autoimmune encephalitis

Author:

Roman Samantha N.1ORCID,Sadaghiani Moe S.2ORCID,Diaz‐Arias Luisa A.1,Le Marechal Marion1,Venkatesan Arun1,Solnes Lilja B.2,Probasco John C.1ORCID

Affiliation:

1. Department of Neurology Johns Hopkins University School of Medicine Baltimore Maryland USA

2. Department of Radiology Johns Hopkins University School of Medicine Baltimore Maryland USA

Abstract

AbstractObjectiveBrain 18F‐FDG PET/CT is a useful diagnostic in evaluating patients with suspected autoimmune encephalitis (AE). Specific patterns of brain dysmetabolism have been reported in anti‐NMDAR and anti‐LGI1 AE, and the degree of dysmetabolism may correlate with clinical functional status.18FDG‐PET/CT abnormalities have not yet been described in seronegative AE.MethodsWe conducted a cross‐sectional analysis of brain18FDG‐PET/CT data in people with seronegative AE treated at the Johns Hopkins Hospital. Utilizing NeuroQ™ software, the Z‐scores of 47 brain regions were calculated relative to healthy controls, then visually and statistically compared for probable and possible AE per clinical consensus diagnostic criteria to previous data from anti‐NMDAR and anti‐LGI1 cohorts.ResultsEight probable seronegative AE and nine possible seronegative AE were identified. The group only differed in frequency of abnormal brain MRI, which was seen in all of the probable seronegative AE patients. Both seronegative groups had similar overall patterns of brain dysmetabolism. A common pattern of frontal lobe hypometabolism and medial temporal lobe hypermetabolism was observed in patients with probable and possible seronegative AE, as well as anti‐NMDAR and anti‐LGI1 AE as part of their respective characteristic patterns of dysmetabolism. Four patients had multiple brain18FDG‐PET/CT scans, with changes in number and severity of abnormal brain regions mirroring clinical status.ConclusionsA18FDG‐PET/CT pattern of frontal lobe hypometabolism and medial temporal lobe hypermetabolism could represent a common potential biomarker of AE, which along with additional clinical data may facilitate earlier diagnosis and treatment.

Publisher

Wiley

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