Temporal epilepsy lesions may be detected by the voxel-based quantitative analysis of brain FDG-PET images using an original block-matching normalization software

Verger, Antoine; Yagdigul, Yalcin; Gucht, Axel Van Der; Poussier, Sylvain; Guedj, Éric; Maillard, Louis; Malandain, Grégoire; Hossu, Gabriela; Fay, Renaud; Karcher, Gilles; Marie, Pierre-Yves

doi:10.1007/s12149-016-1060-4

Cited by 5 publications

(2 citation statements)

References 17 publications

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“…In particular, these models provide an age and sex reference standard that can then be used to aid in the interpretation of individual pediatric 18 F-FDG PET brain studies for patients with central nervous system disease. For example, these models can be directly applicable to the interpretation of epilepsy studies (12,22), neurooncology cases, or patients with infectious or inflammatory brain diseases such as encephalitis, for either diagnosis or follow-up (23,24,25). Our method offers an alternative to the more time-consuming and technically challenging use of statistical parametric mapping (4,5,7,22,23).…”

Section: Discussionmentioning

confidence: 99%

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using¹⁸F-FDG PET/CT

et al. 2017

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Reference databases of pediatric brain metabolism are uncommon, because local brain metabolism evolves significantly with age throughout childhood, limiting their clinical applicability. The aim of this study was to develop mathematic models of regional relative brain metabolism using pediatric F-FDG PET with CT data of normal pediatric brains, accounting for sex and age. PET/CT brain acquisitions were obtained from 88 neurologically normal subjects, aged 6 mo to 18 y. Subjects were assigned to either a development group ( = 59) or a validation group ( = 29). For each subject, commercially available software was used to quantify the relative metabolism of 47 separate brain regions using whole-brain-normalized (WBN) and pons-normalized (PN) activity. The effects of age on regional relative brain metabolism were modeled using multiple linear and nonlinear mathematic equations, and the significance of sex was assessed using the Student test. Optimal models were selected using the Akaike information criterion. Mean predicted values and 95% prediction intervals were derived for all regions. Model predictions were compared with the validation dataset, and mean predicted error was calculated for all regions using both WBN and PN models. As a function of age, optimal models of regional relative brain metabolism were linear for 9 regions, quadratic for 13, cubic for 6, logarithmic for 12, power law for 7, and modified power law for 2 using WBN data and were linear for 9, quadratic for 25, cubic for 2, logarithmic for 6, and power law for 4 using PN data. Sex differences were found to be statistically significant only in the posterior cingulate cortex for the WBN data. Comparing our models with the validation group resulted in 94.3% of regions falling within the 95% prediction interval for WBN and 94.1% for PN. For all brain regions in the validation group, the error in prediction was 3% ± 0.96% using WBN data and 4.72% ± 1.25% when compared with the PN data ( < 0.0001). Pediatric brain metabolism is a complex function of age and sex. We have developed mathematic models of brain activity that allow for accurate prediction of regional pediatric brain metabolism.

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Section: Discussionmentioning

confidence: 99%

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using¹⁸F-FDG PET/CT

et al. 2017

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“…SPECT SISCOM (16) and co-registration between PET and MRI (89,90) have already been discussed previously, and could be particularly contributive. In some cases, quantitative analysis could also be helpful (107)(108)(109)(110), especially for extra-temporal epilepsies (60,70).…”

Section: Analysis Of 18 F-fdg Pet Imagingmentioning

confidence: 99%

Brain molecular imaging in pharmacoresistant focal epilepsy: Current practice and perspectives

Verger

Lagarde

Maillard³

et al. 2018

Revue Neurologique

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This review aims to synthesize all the available data on brain molecular imaging, such as single-photon emission computed tomography (SPECT) and interictal fluorodeoxyglucose positron emission tomography (FDG-PET), in focal epilepsies. SPECT imaging is able to measure regional cerebral blood flow and its major innovation remains its ictal imaging value. On the other hand, FDG-PET, which has higher spatial resolution and lower background activity than SPECT, enables glycolytic metabolism to be identified in interictal states. Therefore, interictal FDG-PET has greater sensitivity than interictal SPECT, especially in temporal lobe epilepsies (TLEs). Thus, F-FDG-PET is a necessary step in the presurgical evaluation of TLEs, but also of extratemporal epilepsies (ETEs), contributing to>30% of the decision to undertake surgery. In addition, FDG-PET has particular diagnostic value in focal epilepsies showing normal magnetic resonance imaging (MRI). PET also has good prognostic value for post-surgical outcomes as well as cognitive impairment, especially in cases where the hypometabolism extent is limited. Moreover, the notion of an epileptic network is well highlighted by functional PET imaging, allowing better understanding of the pathological substrates of these disorders. Future development of quantitative analysis software and of novel radiotracers and cameras will certainly enhance its clinical usefulness.

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Quantitative SPM Analysis Involving an Adaptive Template May Be Easily Applied to [18F]FDG PET Images of the Rat Brain

et al. 2017

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Temporal epilepsy lesions may be detected by the voxel-based quantitative analysis of brain FDG-PET images using an original block-matching normalization software

Abstract: BM normalization compares well with conventional SPM for the voxel-based quantitative analysis of the FDG-PET images from temporal epilepsy patients. Further studies in different population are needed to determine whether BM is truly an accurate alternative to SPM in this setting.

Cited by 5 publications

References 17 publications

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using¹⁸F-FDG PET/CT

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using¹⁸F-FDG PET/CT

Brain molecular imaging in pharmacoresistant focal epilepsy: Current practice and perspectives

Quantitative SPM Analysis Involving an Adaptive Template May Be Easily Applied to [18F]FDG PET Images of the Rat Brain

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Temporal epilepsy lesions may be detected by the voxel-based quantitative analysis of brain FDG-PET images using an original block-matching normalization software

Abstract: BM normalization compares well with conventional SPM for the voxel-based quantitative analysis of the FDG-PET images from temporal epilepsy patients. Further studies in different population are needed to determine whether BM is truly an accurate alternative to SPM in this setting.

Cited by 5 publications

References 17 publications

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using18F-FDG PET/CT

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using18F-FDG PET/CT

Brain molecular imaging in pharmacoresistant focal epilepsy: Current practice and perspectives

Quantitative SPM Analysis Involving an Adaptive Template May Be Easily Applied to [18F]FDG PET Images of the Rat Brain

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Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using¹⁸F-FDG PET/CT

Modeling the Effects of Age and Sex on Normal Pediatric Brain Metabolism Using¹⁸F-FDG PET/CT