Related Experiment Video
Updated: Mar 13, 2026

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
Published on: September 5, 2017
Brain 18F-FDG PET Metabolic Abnormalities in Patients with Long-Lasting Macrophagic Myofascitis
Axel Van Der Gucht1, Mehdi Aoun Sebaiti2,3, Eric Guedj4
1Department of Nuclear Medicine, H. Mondor Hospital, Assistance Publique-Hôpitaux de Paris/Paris-Est University, Créteil, France axel.vandergucht@gmail.com.
Abstract:
The aim of this study was to characterize brain metabolic abnormalities in patients with macrophagic myofascitis (MMF) and the relationship with cognitive dysfunction through the use of PET with 18F-FDG. Methods:18F-FDG PET brain imaging and a comprehensive battery of neuropsychological tests were performed in 100 consecutive MMF patients (age [mean ± SD], 45.9 ± 12 y; 74% women). Images were analyzed with statistical parametric mapping (SPM12). Through the use of analysis of covariance, all 18F-FDG PET brain images of MMF patients were compared with those of a reference population of 44 healthy subjects similar in age (45.4 ± 16 y; P = 0.87) and sex (73% women; P = 0.88). The neuropsychological assessment identified 4 categories of patients: those with no significant cognitive impairment (n = 42), those with frontal subcortical (FSC) dysfunction (n = 29), those with Papez circuit dysfunction (n = 22), and those with callosal disconnection (n = 7). Results: In comparison with healthy subjects, the whole population of patients with MMF exhibited a spatial pattern of cerebral glucose hypometabolism (P < 0.001) involving the occipital lobes, temporal lobes, limbic system, cerebellum, and frontoparietal cortices, as shown by analysis of covariance. The subgroup of patients with FSC dysfunction exhibited a larger extent of involved areas (35,223 voxels vs. 13,680 voxels in the subgroup with Papez circuit dysfunction and 5,453 voxels in patients without cognitive impairment). Nonsignificant results were obtained for the last subgroup because of its small population size. Conclusion: Our study identified a peculiar spatial pattern of cerebral glucose hypometabolism that was most marked in MMF patients with FSC dysfunction. Further studies are needed to determine whether this pattern could represent a diagnostic biomarker of MMF in patients with chronic fatigue syndrome and cognitive dysfunction.
Insights
Macrophagic myofasciitis (MMF) patients show brain glucose hypometabolism, particularly in those with frontal subcortical dysfunction. This pattern may serve as a diagnostic biomarker for MMF-related cognitive issues.
Area of Science:
- Neuroscience
- Medical Imaging
- Metabolic Disorders
Background:
- Macrophagic myofasciitis (MMF) is a rare inflammatory condition.
- Cognitive dysfunction is a reported symptom in MMF patients.
- Brain metabolic abnormalities may underlie MMF-related cognitive deficits.
Purpose of the Study:
- To characterize brain metabolic abnormalities in MMF patients using 18F-FDG PET.
- To investigate the relationship between these abnormalities and cognitive dysfunction.
- To explore potential diagnostic biomarkers for MMF.
Main Methods:
- 100 MMF patients and 44 healthy controls underwent 18F-FDG PET brain imaging.
- Neuropsychological tests categorized patients into cognitive dysfunction groups.
- Statistical parametric mapping (SPM12) analyzed PET images, comparing MMF patients to controls.
Main Results:
- MMF patients exhibited widespread cerebral glucose hypometabolism compared to controls.
- Hypometabolism affected occipital, temporal, limbic, cerebellar, and frontoparietal regions.
- Frontal subcortical (FSC) dysfunction subgroup showed the most extensive hypometabolism.
Conclusions:
- A distinct pattern of cerebral glucose hypometabolism is identified in MMF.
- This pattern is most pronounced in MMF patients with FSC dysfunction.
- Further research is needed to validate this pattern as a diagnostic biomarker for MMF.
More Related Videos
10:02Quantification of Atherosclerotic Plaque Activity and Vascular Inflammation using [18-F] Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography FDG-PET/CT
Published on: May 2, 2012
08:31Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging
Published on: July 1, 2021