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BY 4.0 license Open Access Published by De Gruyter Open Access June 9, 2022

Hybrid 18F-florbetapir PET/MRI for assessing myelin recovery in GFAP-A patients

  • Huanyu Meng , Shuyu Zheng , Shaicun Yuan , Qinming Zhou , Yining Gao , You Ni , Lu He , Dou Yin , Min Zhang ORCID logo EMAIL logo and Sheng Chen ORCID logo EMAIL logo

Abstract

Glial fibrillary acidic protein astrocytopathy (GFAP-A) is a rare autoimmune disease of the central nervous system that was newly reported in 2016. Previous studies have speculated that the pathological mechanism and clinical outcome of GFAP-A lie in the demyelination of the central nervous system, but due to the limitations of MR, this conclusion has not been further confirmed from the perspective of neuroimaging. A non-invasive, quantitative measurement of demyelination would be clinically valuable, given its critical role in mediating GFAP-A. Here, we report a case in which we use 18F-florbetapir positron emission tomography-magnetic resonance imaging (PET/MRI) to evaluate myelin recovery with follow-up in the patient with GFAP-A. Our patient displayed a decreased uptake of PET tracer 18F-florbetapir in the brain lesions and lower distribution volume ratio in the damaged white matter lesions compared to the normal-appearing white matter, indicating significant intracranial demyelination. After treatment, the 18F-florbetapir PET/MRI examination showed a significant increase in the uptake of 18F-florbetapir in the brain lesions, along with a reduced Expanded Disability Status Scale score. Although only a small number of patients have been validated, this case first reported 18F-florbetapir PET/MRI could quantitatively and non-invasively assess the myelin recovery in GFAP-A patients, which may lead to improvements in the early diagnosis and long-term prognosis.

Abbreviations

GFAP-A

glial fibrillary acidic protein astrocytopathy

IgG

immunoglobulin G

CSF

cerebrospinal fluid

CNS

central nervous system

DVR

distribution volume ratio

DWM

damaged white matter

NAWM

normal-appearing white matter

PET

positron emission tomography

MRI

magnetic resonance imaging

NGS

next generation sequencing

EDSS

Expanded Disability Status Scale

MS

multiple sclerosis

NMOSD

neuromyelitis optica spectrum disorders

AQP4

aquaporin-4

anti-MBP antibody

anti-myelin basic protein antibody

ADEM

acute disseminated encephalomyelitis

TSPO

the 18 kDa translocator protein

1 Introduction

Autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy (GFAP-A) is a rare inflammatory central nervous system (CNS) disorder first reported in 2016 [1]. The clinical manifestations include fever, headache, encephalopathy, myelitis and abnormal vision [2]. Although GFAP autoantibody has been reported in the cerebrospinal fluid (CSF) and serum of patients with GFAP-A, it is still controversial whether GFAP antibody plays a key role in the demyelination of GFAP-A [1,2]. It is well known that GFAP is essential to the long-term maintenance of CNS myelination and blood–brain barrier integrity, while its destruction mediated by GFAP antibody may lead to CNS demyelination and astroglial cell activation [3]. Therefore, the degree of demyelination in GFAP-A is compatible with neurological dysfunction and long-term prognosis [4]. But this conclusion is not widely confirmed. The evaluation of myelin recovery in the CNS has great significance in the early diagnosis and prognosis evaluation of GFAP-A patients. But until now, apart from the autopsy after the patient died, there is a rare non-invasive examination that can specifically and quantitatively reflect the degree of the patient’s myelin loss or recovery in the brain and spinal cord [5].

Magnetic resonance imaging (MRI) is a preferred radiological modality in the early diagnosis of GFAP-A, with a typical pattern of gadolinium enhancement in brain MRI, and longitudinally extensive T2 hyperintensities with central cord enhancement in spine MRI [6]. Although conventional MRI can evaluate the location and size of GFAP-A, it cannot provide a quantitative assessment of myelin recovery. Recently, several advanced MRI techniques are introduced to the assessment in the demyelination of CNS, including magnetization transfer and diffusion-weighted imaging, while these techniques are less specific than tracer-based positron emission tomography (PET) toward myelin assessment [7,8,9,10]. 18F-Florbetapir, originally applied to the diagnosis of Alzheimer’s disease, was subsequently proved for their potential use in myelin imaging [11,12,13]. Our recent studies showed that amyloid PET tracer 18F-florbetapir bound to demyelinated lesions could monitor acute disseminated encephalomyelitis [13]. Nevertheless, the ability of 18F-florbetapir PET for assessing GFAP-A has not yet been investigated. Compared to conventional MRI which could reliably locate the lesion, a hybrid PET/MRI could simultaneously obtain quantitative and locational information specifically for myelin states. Therefore, we investigated the potential use of hybrid PET/MRI with 18F-florbetapir for quantitative assessment of demyelination in the case of patients with GFAP-A.

2 Methods

A patient with a definite diagnosis of GFAP-A was enrolled with follow-up. The enrolled patient underwent clinical assessments, including clinical disability through the expanded disability status scale (EDSS) before PET/MRI scan at baseline.

Based on the method we used before, 18F-florbetapir PET/MRI was performed with a Biograph mMR system (Siemens, Erlangen, Germany) with a National Electrical Manufacturers PET resolution of 4.2 mm [13]. After intravenous injection of approximately 296 MBq of 18F-florbetapir, dynamic PET acquisition in list mode over 60 min was started immediately, considering that it was cost-effective for most patients to reach a plateau [13]. Image standardization and segmentation were performed using statistical parametric mapping software (SPM12, Wellcome Centre for Human Neuroimaging, University College London, UK). The PET image was reconstructed by a point spread function algorithm with 344 × 344 pixels, 4 iterations, 21 subsets and a filter with a full width at half maximum of 2 mm. Both PET and MRI images were first normalized to MNI152 space by SPM12. Then, we used Lesion Segmentation Tool toolbox as a lesion prediction algorithm for damaged white matter (DWM) lesion segmentation. Normal-appearing white matter (NAWM) in GFAP-A patients was derived by subtracting the DWM segmentation from the total white matter segmentation. According to the supervised clustering method, the normal gray matter was selected as a reference region [11]. The Logan graphical reference method was then applied at the voxel level to produce a parametric map of 18F-florbetapir binding measured as the distribution volume ratio (DVR).

  1. Ethical approval: The research related to human use has complied with all the relevant national regulations, institutional policies and in accordance with the tenets of the Helsinki Declaration. Human research was carried out with approval of the Ethics Committee of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine and with informed patient consent.

3 Case presentation

A 26-year-old female developed headache and fever up to 41°C, accompanied by rigors, chills and vomiting. She was treated with antibiotics and appropriate rehydration at a local hospital, but her symptoms were not alleviated. Subsequently, she experienced several instances of disturbance of consciousness, agitation and rambling. She was emergently referred to the department of infectious disease in our hospital. On admission, CSF examination showed normal intracranial pressure, elevated protein (1988.06 mg/L) and reduced glucose (2.18 mmol/L), but next-generation sequencing of bacteria and fungi was both negative. Screening for associated antibodies revealed positive CSF GFAP antibodies (titer of 1:32) and serum GFAP antibodies (1:10). Brain MRI showed multiple abnormal signals involving right temporal lobe, left paraventricular and left frontal lobe.

In order to clarify the relationship between the location and scope of demyelinating lesions in the patient’s brain, we performed 18F-florbetapir PET/MRI. The decrease in the uptake of PET tracer 18F-florbetapir was found in the brain lesions on pre-treatment patient’s PET/MRI. Parallelly, T2 Flair MRI demonstrated multifocal hyperintense lesions (Figure 1a). Based on the method we introduced before, we chose the DVR for quantitatively measurement of the tracer uptake level [8,9]. We found the lower DVR in the three DWM lesions (Figure 1a, white arrow, Table 1, DVR = 0.96 ± 0.09), compared to the normal-appearing white matter (NAWM, DVR = 1.21), indicating significant intracranial demyelination.

Figure 1 
               Demyelination and remyelination in three representative lesions on pre- and post-treatment 18F-florbetapir PET/MRI for the enrolled patient. (a) Pre-treatment PET/MRI showed multifocal hyperintense lesions (yellow arrowhead) with decreased 18F-florbetapir uptake (Lesion1 DVR = 0.83, Lesion2 DVR = 1.04, Lesion3 DVR = 1.00, and NAWM DVR = 1.21). After treatment, the MRI T2 Flair lesions at the same location were invisible, and the 18F-florbetapir uptake of the lesion was returned to a level equivalent to NAWM 18F-florbetapir uptake (Lesion1 DVR = 1.21, Lesion2 DVR = 1.25, Lesion3 DVR = 1.35, NAWM DVR = 1.24). (b) Along with the increase in 18F-florbetapir uptake in the three brain lesions, the patient’s clinical symptoms were also alleviated, with EDSS dropping from 8.5 to 2.5 with follow-up. DVR: distribution volume ratio; NAWM: normal-appearing white matter; EDSS: Expanded Disability Status Scale; MRI: magnetic resonance imaging.
Figure 1

Demyelination and remyelination in three representative lesions on pre- and post-treatment 18F-florbetapir PET/MRI for the enrolled patient. (a) Pre-treatment PET/MRI showed multifocal hyperintense lesions (yellow arrowhead) with decreased 18F-florbetapir uptake (Lesion1 DVR = 0.83, Lesion2 DVR = 1.04, Lesion3 DVR = 1.00, and NAWM DVR = 1.21). After treatment, the MRI T2 Flair lesions at the same location were invisible, and the 18F-florbetapir uptake of the lesion was returned to a level equivalent to NAWM 18F-florbetapir uptake (Lesion1 DVR = 1.21, Lesion2 DVR = 1.25, Lesion3 DVR = 1.35, NAWM DVR = 1.24). (b) Along with the increase in 18F-florbetapir uptake in the three brain lesions, the patient’s clinical symptoms were also alleviated, with EDSS dropping from 8.5 to 2.5 with follow-up. DVR: distribution volume ratio; NAWM: normal-appearing white matter; EDSS: Expanded Disability Status Scale; MRI: magnetic resonance imaging.

Table 1

PET/MRI quantitative parameters of the enrolled patient

Lesions Distance (mm) Volume (mm3) DVR
Pre-treatment Post-treatment
Lesion 1 300 4,860 0.83 1.21
Lesion 2 480 1144.12 1.04 1.25
Lesion 3 555 3071.25 1.00 1.35
Mean 0.96 1.27
STD 0.09 0.06
NAWM 1.21 1.24

NAWM: normal-appearing white matter.

After completing the PET/MRI examination, the patient was given methylprednisolone and intravenous immunoglobulin therapy, followed by oral prednisone and mycophenolate mofetil. After 3 months of continuous oral immunosuppressive therapy, the patient’s clinical symptoms improved significantly, with a 6-point decrease in EDSS score (from 8.5 to 2.5, Figure 1b). Meanwhile, the PET/MRI examination showed that the uptake of 18F-florbetapir in the brain lesions of the pre-treatment patient was significantly increased and then returned to a level equivalent to NAWM 18F-florbetapir uptake (Figure 1, Table 1). As the DVRs of the DWM lesions were increased, the head MR lesions of the patient had disappeared, along with the reduced EDSS score, suggesting that the changes in head MR lesions are parallel to changes in both demyelinating lesions in the brain and clinical myelin recovery (Figure 1).

4 Discussion

Here, we report a hybrid PET/MRI imaging tool with 18F-florbetapir for quantitative assessment of myelin recovery in patients with GFAP-A. Among autoimmune demyelinating disorders, studies have shown a close relationship between demyelination and clinical manifestation including encephalopathy, meningeal symptoms and opticospinal abnormality [5]. However, the role of demyelination in the pathogenesis of GFAP-A has not been widely established, and the correlation between demyelination and EDSS scores remains to be demonstrated. Of note, the neuroinflammation and demyelination signals in conventional MRI are mixed in CNS demyelination diseases including GFAP-A. Therefore, for the evaluation of myelin recovery, traditional MR cannot meet the clinical requirements for quantitative evaluation of myelin recovery in GFAP-A patients. Plenty of studies have demonstrated 18F-florbetapir could serve as a quantitative myelin indicator, with its decrease in DWM lesions compared to NAWM among multiple sclerosis (MS), neuromyelitis optica spectrum disorders, and acute disseminated encephalomyelitis (ADEM) patients [9,11,12,13]. Parallel to these results, our study first showed a close relationship between PET tracer 18F-florbetapir uptake and myelin recovery in GFAP-A patients.

In our study, we found the similar trend was identified for the myelin change (as measured by 18F-florbetapir DVR) and the shift in the clinical disability (as measured using EDSS). A previous study conducted by our group has demonstrated that the EDSS change and global myelin recovery were significantly correlated in patients with MS [13]. Consistently with this result, our present study suggests that 18F-florbetapir DVR could provide additional valuable myelin state information in astrocytic damage-associated disease.

Based on the application of PET/MRI with 18F-florbetapir in ADEM and MS, our results for the first time indicate this technique could quantitatively and non-invasively assess the myelin recovery in GFAP-A patients and helps to understand the pathological process of the disease. This new approach should pave the way for real-time in situ myelin evaluations in clinical practice, and it offers the technical prerequisites for early diagnosis and long-term prognosis of demyelination-related disease.


# These authors contribute equally to this work.


Acknowledgments

We thank Prof. Kung Hank F from the University of Pennsylvania, Philadelphia, US, and Prof. Lin Zhu from Beijing Normal University, Beijing, China, for kindly supplying the florbetapir probe precursor for us and synthesis technical support, and Prof. Qiu Huang, Peihan Li, Meidi Chen from School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China for the support of PET image analysis.

  1. Funding information: Shanghai Municipal Key Clinical Specialty (shslczdzk03403), Shanghai Pujiang Program (18PJD030)

  2. Author contributions: Meng HY, Zhang M and Chen S conceived the project. He L, Yin D, Gao YN, Yuan SC and Ni Y provided technical support for PET/MRI execution and performed the image analysis. Meng HY and Zheng SY were responsible for patient recruitment, data extraction and manuscript preparation with input from other authors. All of the authors critically revised and approved the final manuscript.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Received: 2022-03-20
Revised: 2022-05-17
Accepted: 2022-05-19
Published Online: 2022-06-09

© 2022 Huanyu Meng et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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