1
|
Ponisio MR, Zempel JM, Willie JT, Tomko SR, McEvoy SD, Roland JL, Williams JP. FDG-PET/MRI in the presurgical evaluation of pediatric epilepsy. Pediatr Radiol 2024:10.1007/s00247-024-06011-6. [PMID: 39123082 DOI: 10.1007/s00247-024-06011-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 07/17/2024] [Accepted: 07/22/2024] [Indexed: 08/12/2024]
Abstract
In patients with drug-resistant epilepsy, difficulties in identifying the epileptogenic zone are well known to correlate with poorer clinical outcomes post-surgery. The integration of PET and MRI in the presurgical assessment of pediatric patients likely improves diagnostic precision by confirming or widening treatment targets. PET and MRI together offer superior insights compared to either modality alone. For instance, PET highlights abnormal glucose metabolism, while MRI precisely localizes structural anomalies, providing a comprehensive understanding of the epileptogenic zone. Furthermore, both methodologies, whether utilized through simultaneous PET/MRI scanning or the co-registration of separately acquired PET and MRI data, present unique advantages, having complementary roles in lesional and non-lesional cases. Simultaneous FDG-PET/MRI provides precise co-registration of functional (PET) and structural (MR) imaging in a convenient one-stop-shop approach, which minimizes sedation time and reduces radiation exposure in children. Commercially available fusion software that allows retrospective co-registration of separately acquired PET and MRI images is a commonly used alternative. This review provides an overview and illustrative cases that highlight the role of combining 18F-FDG-PET and MRI imaging and shares the authors' decade-long experience utilizing simultaneous PET/MRI in the presurgical evaluation of pediatric epilepsy.
Collapse
Affiliation(s)
- Maria R Ponisio
- Division of Nuclear Medicine, Mallinckrodt Institute of Radiology, School of Medicine, Washington University in St Louis, MSC 8223-0019-10, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA.
| | - John M Zempel
- Department of Neurology, School of Medicine, Washington University in St Louis, St. Louis, MO, USA
| | - Jon T Willie
- Department of Neurosurgery, School of Medicine, Washington University in St Louis, St. Louis, MO, USA
| | - Stuart R Tomko
- Department of Neurology, School of Medicine, Washington University in St Louis, St. Louis, MO, USA
| | - Sean D McEvoy
- Department of Neurosurgery, School of Medicine, Washington University in St Louis, St. Louis, MO, USA
| | - Jarod L Roland
- Department of Neurosurgery, School of Medicine, Washington University in St Louis, St. Louis, MO, USA
| | - Jonathan P Williams
- Department of Neurology, School of Medicine, Washington University in St Louis, St. Louis, MO, USA
| |
Collapse
|
2
|
Nordli Iii DR, Taha M, Freund B, Nordli DR, Galan F. Minimally Invasive Epilepsy Surgery. Neuropediatrics 2024. [PMID: 38986485 DOI: 10.1055/s-0044-1788061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/12/2024]
Abstract
Surgery remains a critical and often necessary intervention for a subset of patients with epilepsy. The overarching objective of surgical treatment has consistently been to enhance the quality of life for these individuals, either by achieving seizure freedom or by eliminating debilitating seizure types. This review specifically examines minimally invasive surgical approaches for epilepsy. Contemporary advancements have introduced a range of treatments that offer increased safety and efficacy compared to traditional open resective epilepsy surgeries. This manuscript provides a comprehensive review of these techniques and technologies.
Collapse
Affiliation(s)
- Douglas R Nordli Iii
- University of Chicago Comer Children's Hospital, Chicago, Illinois, United States
| | - Mohamed Taha
- University of Chicago Comer Children's Hospital, Chicago, Illinois, United States
| | - Brin Freund
- Mayo Clinic in Florida, Jacksonville, Florida, United States
| | - Douglas R Nordli
- University of Chicago Comer Children's Hospital, Chicago, Illinois, United States
| | - Fernando Galan
- Nemours Children's Health System, Jacksonville, Florida, United States
| |
Collapse
|
3
|
Traub-Weidinger T, Arbizu J, Barthel H, Boellaard R, Borgwardt L, Brendel M, Cecchin D, Chassoux F, Fraioli F, Garibotto V, Guedj E, Hammers A, Law I, Morbelli S, Tolboom N, Van Weehaeghe D, Verger A, Van Paesschen W, von Oertzen TJ, Zucchetta P, Semah F. EANM practice guidelines for an appropriate use of PET and SPECT for patients with epilepsy. Eur J Nucl Med Mol Imaging 2024; 51:1891-1908. [PMID: 38393374 PMCID: PMC11139752 DOI: 10.1007/s00259-024-06656-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
Epilepsy is one of the most frequent neurological conditions with an estimated prevalence of more than 50 million people worldwide and an annual incidence of two million. Although pharmacotherapy with anti-seizure medication (ASM) is the treatment of choice, ~30% of patients with epilepsy do not respond to ASM and become drug resistant. Focal epilepsy is the most frequent form of epilepsy. In patients with drug-resistant focal epilepsy, epilepsy surgery is a treatment option depending on the localisation of the seizure focus for seizure relief or seizure freedom with consecutive improvement in quality of life. Beside examinations such as scalp video/electroencephalography (EEG) telemetry, structural, and functional magnetic resonance imaging (MRI), which are primary standard tools for the diagnostic work-up and therapy management of epilepsy patients, molecular neuroimaging using different radiopharmaceuticals with single-photon emission computed tomography (SPECT) and positron emission tomography (PET) influences and impacts on therapy decisions. To date, there are no literature-based praxis recommendations for the use of Nuclear Medicine (NM) imaging procedures in epilepsy. The aims of these guidelines are to assist in understanding the role and challenges of radiotracer imaging for epilepsy; to provide practical information for performing different molecular imaging procedures for epilepsy; and to provide an algorithm for selecting the most appropriate imaging procedures in specific clinical situations based on current literature. These guidelines are written and authorized by the European Association of Nuclear Medicine (EANM) to promote optimal epilepsy imaging, especially in the presurgical setting in children, adolescents, and adults with focal epilepsy. They will assist NM healthcare professionals and also specialists such as Neurologists, Neurophysiologists, Neurosurgeons, Psychiatrists, Psychologists, and others involved in epilepsy management in the detection and interpretation of epileptic seizure onset zone (SOZ) for further treatment decision. The information provided should be applied according to local laws and regulations as well as the availability of various radiopharmaceuticals and imaging modalities.
Collapse
Affiliation(s)
- Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Javier Arbizu
- Department of Nuclear Medicine, University of Navarra Clinic, Pamplona, Spain
| | - Henryk Barthel
- Department of Nuclear Medicine, Leipzig University Medical Centre, Leipzig, Germany
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Lise Borgwardt
- Department of Clinical Physiology and Nuclear Medicine, University of Copenhagen, Blegdamsvej 9, DK-2100, RigshospitaletCopenhagen, Denmark
| | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig Maximilian-University of Munich, Munich, Germany
- DZNE-German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine-DIMED, University-Hospital of Padova, Padova, Italy
| | - Francine Chassoux
- Université Paris-Saclay, CEA, CNRS, Inserm, BioMaps, 91401, Orsay, France
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London (UCL), London, UK
| | - Valentina Garibotto
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland
- NIMTLab, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Center for Biomedical Imaging (CIBM), Geneva, Switzerland
| | - Eric Guedj
- APHM, CNRS, Centrale Marseille, Institut Fresnel, Timone Hospital, CERIMED, Nuclear Medicine Department, Aix Marseille Univ, Marseille, France
| | - Alexander Hammers
- School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London & Guy's and St Thomas' PET Centre, King's College London, London, UK
| | - Ian Law
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Silvia Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Nelleke Tolboom
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU Nancy, Université de Lorraine, IADI, INSERM U1254, Nancy, France
| | - Wim Van Paesschen
- Laboratory for Epilepsy Research, KU Leuven and Department of Neurology, University Hospitals, Leuven, Belgium
| | - Tim J von Oertzen
- Depts of Neurology 1&2, Kepler University Hospital, Johannes Kepler University, Linz, Austria
| | - Pietro Zucchetta
- Nuclear Medicine Unit, Department of Medicine-DIMED, University-Hospital of Padova, Padova, Italy
| | - Franck Semah
- Nuclear Medicine Department, University Hospital, Inserm, CHU Lille, U1172-LilNCog-Lille, F-59000, Lille, France.
| |
Collapse
|
4
|
Courtney MR, Antonic-Baker A, Chen Z, Sinclair B, Nicolo JP, Neal A, Marotta C, Bunyamin J, Law M, Kwan P, O'Brien TJ, Vivash L. Association of Localizing 18F-FDG-PET Hypometabolism and Outcome Following Epilepsy Surgery: Systematic Review and Meta-Analysis. Neurology 2024; 102:e209304. [PMID: 38626375 DOI: 10.1212/wnl.0000000000209304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Although commonly used in the evaluation of patients for epilepsy surgery, the association between the detection of localizing 18fluorine fluorodeoxyglucose PET (18F-FDG-PET) hypometabolism and epilepsy surgery outcome is uncertain. We conducted a systematic review and meta-analysis to determine whether localizing 18F-FDG-PET hypometabolism is associated with favorable outcome after epilepsy surgery. METHODS A systematic literature search was undertaken. Eligible publications included evaluation with 18F-FDG-PET before epilepsy surgery, with ≥10 participants, and those that reported surgical outcome at ≥12 months. Random-effects meta-analysis was used to calculate the odds of achieving a favorable outcome, defined as Engel class I, International League Against Epilepsy class 1-2, or seizure-free, with localizing 18F-FDG-PET hypometabolism, defined as concordant with the epilepsy surgery resection zone. Meta-regression was used to characterize sources of heterogeneity. RESULTS The database search identified 8,916 studies, of which 98 were included (total patients n = 4,104). Localizing 18F-FDG-PET hypometabolism was associated with favorable outcome after epilepsy surgery for all patients with odds ratio (OR) 2.68 (95% CI 2.08-3.45). Subgroup analysis yielded similar findings for those with (OR 2.64, 95% CI 1.54-4.52) and without epileptogenic lesion detected on MRI (OR 2.49, 95% CI 1.80-3.44). Concordance with EEG (OR 2.34, 95% CI 1.43-3.83), MRI (OR 1.69, 95% CI 1.19-2.40), and triple concordance with both (OR 2.20, 95% CI 1.32-3.64) was associated with higher odds of favorable outcome. By contrast, diffuse 18F-FDG-PET hypometabolism was associated with worse outcomes compared with focal hypometabolism (OR 0.34, 95% CI 0.22-0.54). DISCUSSION Localizing 18F-FDG-PET hypometabolism is associated with favorable outcome after epilepsy surgery, irrespective of the presence of an epileptogenic lesion on MRI. The extent of 18F-FDG-PET hypometabolism provides additional information, with diffuse hypometabolism associated with worse surgical outcome than focal 18F-FDG-PET hypometabolism. These findings support the incorporation of 18F-FDG-PET into routine noninvasive investigations for patients being evaluated for epilepsy surgery to improve epileptogenic zone localization and to aid patient selection for surgery.
Collapse
Affiliation(s)
- Merran R Courtney
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Ana Antonic-Baker
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Zhibin Chen
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Benjamin Sinclair
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - John-Paul Nicolo
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Andrew Neal
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Cassandra Marotta
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Jacob Bunyamin
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Meng Law
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Patrick Kwan
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Terence J O'Brien
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| | - Lucy Vivash
- From the Department of Neuroscience (M.R.C., A.A.-B., Z.C., B.S., J.-P.N., A.N., C.M., J.B., M.L., P.K., T.J.O.B., L.V.), School of Translational Medicine, Monash University; Department of Neurology (M.R.C., B.S., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Alfred Health; Department of Neurology (M.R.C., J.-P.N., A.N., P.K., T.J.O.B., L.V.), Royal Melbourne Hospital; Department of Radiology (M.L.), Alfred Health; Department of Electrical and Computer Systems Engineering (M.L.), Monash University; and Department of Medicine (P.K., T.J.O.B., L.V.), The University of Melbourne, Victoria, Australia
| |
Collapse
|
5
|
Trinka E, Koepp M, Kalss G, Kobulashvili T. Evidence based noninvasive presurgical evaluation for patients with drug resistant epilepsies. Curr Opin Neurol 2024; 37:141-151. [PMID: 38334495 DOI: 10.1097/wco.0000000000001253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
PURPOSE OF REVIEW To review the current practices and evidence for the diagnostic accuracy and the benefits of presurgical evaluation. RECENT FINDINGS Preoperative evaluation of patients with drug-resistant focal epilepsies and subsequent epilepsy surgery leads to a significant proportion of seizure-free patients. Even those who are not completely seizure free postoperatively often experience improved quality of life with better social integration. Systematic reviews and meta-analysis on the diagnostic accuracy are available for Video-electroencephalographic (EEG) monitoring, magnetic resonance imaging (MRI), electric and magnetic source imaging, and functional MRI for lateralization of language and memory. There are currently no evidence-based international guidelines for presurgical evaluation and epilepsy surgery. SUMMARY Presurgical evaluation is a complex multidisciplinary and multiprofessional clinical pathway. We rely on limited consensus-based recommendations regarding the required staffing or methodological expertise in epilepsy centers.
Collapse
Affiliation(s)
- Eugen Trinka
- Department of Neurology, Neurocritical Care, and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE
- Neuroscience Institute, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Salzburg
- Institute of Public Health, Medical Decision-Making and HTA, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria
- Karl Landsteiner Institute for Neurorehabilitation and Space Neurology, Salzburg Austria
| | - Matthias Koepp
- UCL Queen Square Institute of Neurology
- National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Gudrun Kalss
- Department of Neurology, Neurocritical Care, and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE
- Neuroscience Institute, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Salzburg
| | - Teia Kobulashvili
- Department of Neurology, Neurocritical Care, and Neurorehabilitation, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Member of EpiCARE
- Neuroscience Institute, Christian-Doppler University Hospital, Paracelsus Medical University, Centre for Cognitive Neuroscience, Salzburg
| |
Collapse
|
6
|
Yao Y, Wang X, Zhao B, Mo J, Guo Z, Yang B, Li Z, Fan X, Cai D, Sang L, Zheng Z, Shao X, Ai L, Hu W, Zhang C, Zhang K. Hypometabolic patterns are related to post-surgical seizure outcomes in focal cortical dysplasia: A semi-quantitative study. Epilepsia Open 2024; 9:653-664. [PMID: 38265725 PMCID: PMC10984320 DOI: 10.1002/epi4.12903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 12/25/2023] [Accepted: 01/06/2024] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVE Fluorine-18-fluorodeoxyglucose-positron emission tomography (FDG-PET) is routinely used for presurgical evaluation in many epilepsy centers. Hypometabolic characteristics have been extensively examined in prior studies, but the metabolic patterns associated with specific pathological types of drug-resistant epilepsy remain to be fully defined. This study was developed to explore the relationship between metabolic patterns or characteristics and surgical outcomes in type I and II focal cortical dysplasia (FCD) patients based on results from a large cohort. METHODS Data from individuals who underwent epilepsy surgery from 2014 to 2019 with a follow-up duration of over 3 years and a pathological classification of type I or II FCD in our hospital were retrospectively analyzed. Hypometabolic patterns were quantitatively identified via statistical parametric mapping (SPM) and qualitatively analyzed via visual examination of PET-MRI co-registration images. Univariate analyses were used to explore the relationship between metabolic patterns and surgical outcomes. RESULTS In total, this study included data from 210 patients. Following SPM calculations, four hypometabolic patterns were defined including unilobar, multi-lobar, and remote patterns as well as cases where no pattern was evident. In type II FCD patients, the unilobar pattern was associated with the best surgical outcomes (p = 0.014). In visual analysis, single gyrus (p = 0.032) and Clear-cut hypometabolism edge (p = 0.040) patterns exhibited better surgery outcomes in the type II FCD group. CONCLUSIONS PET metabolic patterns are well-correlated with the prognosis of type II FCD patients. However, similar correlations were not observed in type I FCD, potentially owing to the complex distribution of the epileptogenic region. PLAIN LANGUAGE SUMMARY In this study, we demonstrated that FDG-PET was a crucial examination for patients with FCD, which was a common cause of epilepsy. We compared the surgical prognosis for patients with different hypometabolism distribution patterns and found that clear and focal abnormal region in PET was correlated with good surgical outcome in type II FCD patients.
Collapse
Affiliation(s)
- Yuan Yao
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Xiu Wang
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Baotian Zhao
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Jiajie Mo
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Zhihao Guo
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Bowen Yang
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Zilin Li
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Xiuliang Fan
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Du Cai
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Lin Sang
- Department of NeurosurgeryBeijing FengTai HospitalBeijingChina
| | - Zhong Zheng
- Department of NeurosurgeryBeijing FengTai HospitalBeijingChina
| | - Xiaoqiu Shao
- Department of NeurologyBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Lin Ai
- Department of Nuclear MedicineBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Wenhan Hu
- Beijing Neurosurgical InstituteCapital Medical UniversityBeijingChina
| | - Chao Zhang
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| | - Kai Zhang
- Department of NeurosurgeryBeijing TianTan Hospital, Capital Medical UniversityBeijingChina
| |
Collapse
|
7
|
Wang F, Hong ST, Zhang Y, Xing Z, Lin YX. 18F-FDG-PET/CT for Localizing the Epileptogenic Focus in Patients with Different Types of Focal Cortical Dysplasia. Neuropsychiatr Dis Treat 2024; 20:211-220. [PMID: 38333612 PMCID: PMC10849898 DOI: 10.2147/ndt.s442459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/28/2023] [Indexed: 02/10/2024] Open
Abstract
Purpose To determine the diagnostic and localization value of 18F-fluorodeoxyglucose-positron emission tomography (PET)/computed tomography (CT) in patients with focal cortical dysplasia (FCD) who underwent epilepsy surgery. Methods One hundred and eight patients with pathologically proven FCD who underwent surgery for refractory epilepsy were retrospectively analyzed. All patients underwent magnetic resonance imaging (MRI), 18F-FDG-PET/CT, and video electroencephalography. An MRI diagnosis of FCD was defined as MRI+. A PET/CT diagnosis of FCD was defined as PET/CT+. Results MRI and PET/CT detected FCD in 20.37% and 93.52% of patients, respectively. The difference was significant. Twenty-one patients were MRI+/PET+, 80 were MRI-/PET+, six were MRI-/PET-, and one was MRI+/PET-. The MRI positivity rate was lowest in patients with FCD type IIIa (5.6%, P < 0.05). Prevalence of MRI-/PET+ was highest in patients with FCD type IIIa (88.89%, P < 0.05). Conclusion PET/CT is superior to MRI in detecting FCD. FCD type IIIa was more likely than other types to show MRI-/PET+. This suggests that PET/CT has particular diagnostic value for FCD type IIIa patients with negative MRI findings.
Collapse
Affiliation(s)
- Feng Wang
- Neurosurgery Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China
| | - Shu-Ting Hong
- Neurosurgery Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China
| | - Ying Zhang
- Nuclear Medicine Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China
| | - Zhen Xing
- Radiology Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China
| | - Yuan-Xiang Lin
- Neurosurgery Department, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China
| |
Collapse
|
8
|
Qi Y, Zhang YM, Gao YN, Chen WG, Zhou T, Chang L, Zang Y, Li J. AMPK role in epilepsy: a promising therapeutic target? J Neurol 2024; 271:748-771. [PMID: 38010498 DOI: 10.1007/s00415-023-12062-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 11/29/2023]
Abstract
Epilepsy is a complex and multifaceted neurological disorder characterized by spontaneous and recurring seizures. It poses significant therapeutic challenges due to its diverse etiology and often-refractory nature. This comprehensive review highlights the pivotal role of AMP-activated protein kinase (AMPK), a key metabolic regulator involved in cellular energy homeostasis, which may be a promising therapeutic target for epilepsy. Current therapeutic strategies such as antiseizure medication (ASMs) can alleviate seizures (up to 70%). However, 30% of epileptic patients may develop refractory epilepsy. Due to the complicated nature of refractory epilepsy, other treatment options such as ketogenic dieting, adjunctive therapy, and in limited cases, surgical interventions are employed. These therapy options are only suitable for a select group of patients and have limitations of their own. Current treatment options for epilepsy need to be improved. Emerging evidence underscores a potential association between impaired AMPK functionality in the brain and the onset of epilepsy, prompting an in-depth examination of AMPK's influence on neural excitability and ion channel regulation, both critical factors implicated in epileptic seizures. AMPK activation through agents such as metformin has shown promising antiepileptic effects in various preclinical and clinical settings. These effects are primarily mediated through the inhibition of the mTOR signaling pathway, activation of the AMPK-PI3K-c-Jun pathway, and stimulation of the PGC-1α pathway. Despite the potential of AMPK-targeted therapies, several aspects warrant further exploration, including the detailed mechanisms of AMPK's role in different brain regions, the impact of AMPK under various conditional circumstances such as neural injury and zinc toxicity, the long-term safety and efficacy of chronic metformin use in epilepsy treatment, and the potential benefits of combination therapy involving AMPK activators. Moreover, the efficacy of AMPK activators in refractory epilepsy remains an open question. This review sets the stage for further research with the aim of enhancing our understanding of the role of AMPK in epilepsy, potentially leading to the development of more effective, AMPK-targeted therapeutic strategies for this challenging and debilitating disorder.
Collapse
Affiliation(s)
- Yingbei Qi
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, Zhejiang, China
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yong-Mei Zhang
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, Zhejiang, China
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ya-Nan Gao
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- China Pharmaceutical University, Nanjing, 210009, Jiangsu, China
| | - Wen-Gang Chen
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- China Pharmaceutical University, Nanjing, 210009, Jiangsu, China
| | - Ting Zhou
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Liuliu Chang
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yi Zang
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
| | - Jia Li
- School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, Zhejiang, China.
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| |
Collapse
|
9
|
Flaus A, Jung J, Ostrowky‐Coste K, Rheims S, Guénot M, Bouvard S, Janier M, Yaakub SN, Lartizien C, Costes N, Hammers A. Deep-learning predicted PET can be subtracted from the true clinical fluorodeoxyglucose PET co-registered to MRI to identify the epileptogenic zone in focal epilepsy. Epilepsia Open 2023; 8:1440-1451. [PMID: 37602538 PMCID: PMC10690662 DOI: 10.1002/epi4.12820] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 08/16/2023] [Indexed: 08/22/2023] Open
Abstract
OBJECTIVE Normal interictal [18 F]FDG-PET can be predicted from the corresponding T1w MRI with Generative Adversarial Networks (GANs). A technique we call SIPCOM (Subtraction Interictal PET Co-registered to MRI) can then be used to compare epilepsy patients' predicted and clinical PET. We assessed the ability of SIPCOM to identify the Resection Zone (RZ) in patients with drug-resistant epilepsy (DRE) with reference to visual and statistical parametric mapping (SPM) analysis. METHODS Patients with complete presurgical work-up and subsequent SEEG and cortectomy were included. RZ localisation, the reference region, was assigned to one of eighteen anatomical brain regions. SIPCOM was implemented using healthy controls to train a GAN. To compare, the clinical PET coregistered to MRI was visually assessed by two trained readers, and a standard SPM analysis was performed. RESULTS Twenty patients aged 17-50 (32 ± 7.8) years were included, 14 (70%) with temporal lobe epilepsy (TLE). Eight (40%) were MRI-negative. After surgery, 14 patients (70%) had a good outcome (Engel I-II). RZ localisation rate was 60% with SIPCOM vs 35% using SPM (P = 0.015) and vs 85% using visual analysis (P = 0.54). Results were similar for Engel I-II patients, the RZ localisation rate was 64% with SIPCOM vs 36% with SPM. With SIPCOM localisation was correct in 67% in MRI-positive vs 50% in MRI-negative patients, and 64% in TLE vs 43% in extra-TLE. The average number of false-positive clusters was 2.2 ± 1.3 using SIPCOM vs 2.3 ± 3.1 using SPM. All RZs localized with SPM were correctly localized with SIPCOM. In one case, PET and MRI were visually reported as negative, but both SIPCOM and SPM localized the RZ. SIGNIFICANCE SIPCOM performed better than the reference computer-assisted method (SPM) for RZ detection in a group of operated DRE patients. SIPCOM's impact on epilepsy management needs to be prospectively validated.
Collapse
Affiliation(s)
- Anthime Flaus
- Department of Nuclear MedicineHospices Civils de LyonLyonFrance
- Medical Faculty of Lyon EstUniversity Claude Bernard Lyon 1LyonFrance
- King's College London & Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
| | - Julien Jung
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
- Department of Functional Neurology and Epileptology, Hospices Civils de Lyon, Member of the ERN EpiCARELyon 1 UniversityLyonFrance
| | - Karine Ostrowky‐Coste
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
- Department of Pediatric Clinical Epileptology, Sleep Disorders, and Functional NeurologyHospices Civils de Lyon, Member of the ERN EpiCARELyonFrance
| | - Sylvain Rheims
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
- Department of Functional Neurology and Epileptology, Hospices Civils de Lyon, Member of the ERN EpiCARELyon 1 UniversityLyonFrance
| | - Marc Guénot
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
- Department of Functional Neurosurgery, Hospices Civils de Lyon, Member of the ERN EpiCARELyon 1 UniversityLyonFrance
| | - Sandrine Bouvard
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
| | - Marc Janier
- Department of Nuclear MedicineHospices Civils de LyonLyonFrance
- Medical Faculty of Lyon EstUniversity Claude Bernard Lyon 1LyonFrance
| | - Siti N. Yaakub
- Brain Research & Imaging CentreUniversity of PlymouthPlymouthUK
| | - Carole Lartizien
- INSA‐Lyon, CNRS, Inserm, CREATIS UMR 5220, U1294University Claude Bernard Lyon 1LyonFrance
| | - Nicolas Costes
- Lyon Neuroscience Research CenterINSERM U1028/CNRS UMR5292LyonFrance
- CERMEP‐Life ImagingLyonFrance
| | - Alexander Hammers
- King's College London & Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging SciencesKing's College LondonLondonUK
| |
Collapse
|
10
|
Hong Y, Fu C, Xing Y, Tao J, Zhao T, Wang N, Chen Y, You Y, Ren Z, Hong Y, Wang Q, Zhao Y, Yang Y, Zhang J, Xu J, Han X. Delayed 18F-FDG PET imaging provides better metabolic asymmetry in potential epileptogenic zone in temporal lobe epilepsy. Front Med (Lausanne) 2023; 10:1180541. [PMID: 37465642 PMCID: PMC10350642 DOI: 10.3389/fmed.2023.1180541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/14/2023] [Indexed: 07/20/2023] Open
Abstract
Objective To investigate the value of 18F-FDG positron emission tomography/computed tomography (PET/CT) two time point imaging for the identification of the potential epileptogenic zone (EZ) in temporal lobe epilepsy (TLE). Methods Fifty-two patients with TLE were prospectively enrolled in the 18F-FDG PET/CT two time point imaging study. The early imaging was obtained approximately 40 min (43.44 ± 18.04 min) after 18F-FDG injection, and the delayed imaging was obtained about 2 to 3 h (160.46 ± 28.70 min) after the injection. Visual and semi-quantitative analysis of 18F-FDG uptake were performed at the two time points in EZ and contralateral symmetrical region. The mean standardized uptake value (SUVmean) of EZ and contralateral symmetrical region was calculated to determine the asymmetry index (AI) of the early and delayed images, as well as in the MRI positive and negative patient groups. Results Semi-quantitative analysis demonstrated that AI of the early and delayed 18F-FDG PET/CT images was 13.47 ± 6.10 and 16.43 ± 6.66, respectively. The ΔAI was 2.95 ± 3.05 in 52 TLE patients between the two time points. The AI of the EZ was significantly elevated in delayed images compared to the early images (p < 0.001). The AI of delayed imaging was also significantly elevated compared to the early imaging in both MRI positive (ΔAI = 2.81 ± 2.54, p < 0.001) and MRI negative (ΔAI = 3.21 ± 3.91, p < 0.003) groups, and more pronounced in MRI negative group. Visual analysis also showed that the delayed imaging appeared to be superior to the early imaging for identification of potential EZ. Conclusion Delayed 18F-FDG PET imaging provided significantly better than the early imaging in the identification of potential EZ, which can be valuable during epilepsy pre-surgical evaluation in patients with TLE.
Collapse
Affiliation(s)
- Yang Hong
- Department of Neurology, People’s Hospital of Henan University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Chang Fu
- Department of Nuclear Medicine, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Yazhou Xing
- Department of Neurosurgery, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - James Tao
- Division of Biological Sciences, University of Chicago, Chicago, IL, United States
| | - Ting Zhao
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Na Wang
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Yanan Chen
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Yang You
- Department of Nuclear Medicine, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Zhe Ren
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Yingxing Hong
- Department of Neurology, People’s Hospital of Henan University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Qi Wang
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Yibo Zhao
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Yang Yang
- Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - Jiewen Zhang
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Junling Xu
- Department of Nuclear Medicine, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Xiong Han
- Department of Neurology, People’s Hospital of Henan University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
- Department of Neurology, People’s Hospital of Zhengzhou University, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| |
Collapse
|
11
|
Kamikawa Y, Yoshida Y, Kawahara Y. Effects of point spread function correction and time-of-flight on visual contrast level and pixel values in brain PET images. Nucl Med Commun 2023; 44:442-456. [PMID: 36897055 DOI: 10.1097/mnm.0000000000001681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
OBJECTIVES Point spread function (PSF) correction and time-of-flight (TOF) can improve the quality of PET images. None have directly assessed the visual effects of these methods in brain PET images and evaluated the image quality from these methods based on the relationship between the number of updates and noise level. The present study aimed to clarify the effects of PSF and TOF on the visual contrast level and pixel values of brain PET images using an experimental phantom. MATERIALS AND METHODS The visual contrast level was evaluated based on the sum of edge strengths. In addition, the effects of PSF, TOF, and a combination of them on pixel values were evaluated after anatomical standardization of brain images, in which the whole brain was divided into 18 segments. These were evaluated using images reconstructed with the number of updates set to achieve the same noise level. RESULTS Combined application of the point spread function and TOF resulted in the greatest increase in the sum of edge strengths (32%), followed by PSF (21%) and TOF (6%). The maximum increase in pixel values occurred in the thalamic area (17%). CONCLUSION Although PSF and TOF can increase the visual contrast level by increasing the sum of edge strengths, they may affect the results of software-based analysis using pixel values. Nonetheless, using these methods may improve the ability to visualize areas of hypoaccumulation, such as epileptic foci.
Collapse
Affiliation(s)
- Yohei Kamikawa
- Department of Radiology, Oita University Hospital, Yufu, Oita
| | - Yukito Yoshida
- Department of Radiology, Oita University Hospital, Yufu, Oita
| | | |
Collapse
|
12
|
Guo J, Guo M, Liu R, Kong Y, Hu X, Yao L, Lv S, Lv J, Wang X, Kong QX. Seizure Outcome After Surgery for Refractory Epilepsy Diagnosed by 18F-fluorodeoxyglucose positron emission tomography ( 18F-FDG PET/MRI): A Systematic Review and Meta-Analysis. World Neurosurg 2023; 173:34-43. [PMID: 36746239 DOI: 10.1016/j.wneu.2023.01.114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVE When magnetic resonance imaging (MRI) fails to detect an underlying epileptogenic lesion, the odds of a good outcome after epilepsy surgery are significantly lower (20%-65% compared with 60%-90% if a lesion is detected). We investigated the possible effects of introducing hybrid 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET)/MRI into the decision algorithm for patients with lesioned and nonlesioned drug-resistant epilepsy. METHODS Three databases were searched from January 1990 to October 2022. We registered the protocol with International Platform of Registered Systematic Review and Meta-analysis Protocols. Studies in which 18F-FDG PET/MRI was conducted with ≥12 months of postsurgical follow-up in patients with refractory epilepsy. Random-effects meta-analysis was used to calculate the proportion of patients with good outcomes. Metaregression was used to investigate sources of heterogeneity. RESULTS We identified 8105 studies, of which 23 (1292 patients in total) were included. The overall good postoperative outcome rate was 71% (95% confidence interval 63.6-74.9). Good outcome was associated with the location of the refractory epileptic lesion (temporal lobe or extratemporal; risk ratio 1.27 [95% confidence interval 1.01-1.52], P = 0.009); Length of postoperative follow-up ≥40 months included in the same study accounted for 0.6% of the observed heterogeneity. CONCLUSIONS Seventy-one percent of patients with refractory epilepsy and 18F-FDG PET/MRI epileptogenic lesion features had a good outcome of epilepsy after surgery. Our findings can be incorporated into routine preoperative consultations and emphasize the importance of the complete resection of the temporal lobe epileptogenic zone for 18F-FDG PET/MRI detection when safe and feasible.
Collapse
Affiliation(s)
- Jia Guo
- Clinical Medical College, Jining Medical University, Jining, China
| | - Mujie Guo
- Department of Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Ruihan Liu
- Department of Pediatrics, Affiliated Hospital of Jining Medical University, Jining, China; Postdoctoral Mobile Station of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yu Kong
- Department of Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Xibin Hu
- Department of Imaging, Affiliated Hospital of Jining Medical University, Jining, China
| | - Lei Yao
- Clinical Medical College, Jining Medical University, Jining, China
| | - Shaomin Lv
- Clinical Medical College, Jining Medical University, Jining, China
| | - Jiahua Lv
- Clinical Medical College, Jining Medical University, Jining, China
| | - Xinyu Wang
- Clinical Medical College, Jining Medical University, Jining, China
| | - Qing-Xia Kong
- Department of Neurology, Affiliated Hospital of Jining Medical University, Jining, China.
| |
Collapse
|
13
|
Yu H, Lv Q, Liu Q, Wang S, Ji T, Wang R, Wang W, Wang D, Jiang Y, Liu X, Cai L. Surgical treatment of pediatric intractable frontal lobe epilepsy due to malformation of cortical development. ACTA EPILEPTOLOGICA 2022. [DOI: 10.1186/s42494-022-00090-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Malformation of cortical development (MCD) is a common cause of intractable epilepsy in children. In this study, the effectiveness of frontal lobe epilepsy (FLE) surgery in children with intractable epilepsy due to MCD was assessed and its prognostic factors were studied.
Methods
Seventy-six patients with intractable FLE who received epilepsy surgery between January 2016 and March 2018 in Peking University First Hospital were recruited in this study. All the resected brain tissues were demonstrated to be MCD. All patients were followed up for at least 3 years. The clinical data and prognosis were analyzed retrospectively. Univariate and multivariate analyses were performed to investigate the correlations between clinical variables and prognostic outcome (Engel classification).
Results
Sixty (78.9%) patients had Engel class I postoperative outcome. The mean age at surgery was 6.00 ± 4.24 years. Sixty-six patients (86.8%) had daily seizures, 40.2% of the patients had epileptic spasm, and 33% of the patients had extensive interictal EEG abnormalities, which, however, could not provide any helpful information for localizing epileptogenic zones. About 29% of the patients had normal MRI findings even by experienced radiologists, and 26% of the patients had epileptogenic lesion involving adjacent lobes. There was a significant correlation between acute postoperative seizure (APOS) and prognosis (P < 0.05): APOS predicted poor prognosis. There was a significant correlation between pathology and prognosis (P < 0.05): FCD IA and FCD IIB were correlated with a good outcome. Both variables with a significance level of P < 0.05 during univariate analysis, including pathology and APOS, were included in multivariate analysis, which were significant independent predictors of prognosis.
Conclusions
The clinical manifestations of pediatric intractable FLE due to MCD are more complicated than those in adults. Multidisplinary presurgical evaluation in pediatric epilepsy is mandatory. The surgical outcome of pediatric FLE due to MCD could reach a seizure-free rate of 78.9% with the follow-up of at least 3 years. The post-operative pathology and APOS may be related to the prognosis of surgery in this group of pediatric patients.
Collapse
|
14
|
Jayapaul P, Gopinath S, Pillai A. Outcome following surgery for insulo-opercular epilepsies. J Neurosurg 2022; 137:1226-1236. [PMID: 35276652 DOI: 10.3171/2021.12.jns212220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/20/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate the clinical outcome in patients with medically refractory epilepsy who had undergone resective or ablative surgery for suspected insulo-opercular epileptogenic foci. METHODS The prospectively maintained database of patients undergoing epilepsy surgery was reviewed, and all patients who underwent insulo-opercular surgery for medically refractory epilepsy with a minimum of 12 months of postoperative follow-up were identified, excluding those who had insulo-opercular resection in combination with temporal lobectomy. The presurgical electroclinicoradiological data, stereo-EEG (SEEG) findings, resection/ablation patterns, surgical pathology, postoperative seizure outcome, and neurological complications were analyzed. RESULTS Of 407 patients undergoing epilepsy surgery in a 5-year period at the Amrita Advanced Centre for Epilepsy, 24 patients (5.9%) who underwent exclusive insulo-opercular interventions were included in the study. Eleven (46%) underwent surgery on the right side, 12 (50%) on the left side, and the operation was bilateral in 1 (4%). The mean age at surgery was 24.5 ± 12.75 years. Onset of seizures occurred on average at 10.6 ± 9.7 years of life. Characteristic auras were identified in 66% and predominant seizure type was hypermotor (15.4%), automotor (15.4%), hypomotor (11.5%), or a mixed pattern. Seventy-five percent of the seizures recorded on scalp video-EEG occurred during sleep. The 3T MRI results were normal in 12 patients (50%). Direct single-stage surgery was undertaken in 5 patients, and SEEG followed by intervention in 19. Eighteen patients (75%) underwent exclusive resective surgery, 4 (16.7%) underwent exclusive volumetric radiofrequency ablation, and 2 (8.3%) underwent staged radiofrequency ablation and resective surgery. Immediate postoperative neurological deficits occurred in 10/24 (42%), which persisted beyond 12 postoperative months in 3 (12.5%). With a mean follow-up of 25.9 ± 14.6 months, 18 patients (75%) had Engel class I outcome, 3 (12.5%) had Engel class II, and 3 (12.5%) had Engel class III or IV. There was no statistically significant difference in outcomes between MRI-positive versus MRI-negative cases. CONCLUSIONS Surgery for medically refractory epilepsy in insulo-opercular foci is less common and remains a challenge to epilepsy surgery centers. Localization is aided significantly by a careful study of auras and semiology followed by EEG and imaging. The requirement for SEEG is generally high. Satisfactory rates of seizure freedom were achievable independent of the MRI lesional/nonlesional status. Morbidity is higher for insulo-opercular epilepsy surgery compared to other focal epilepsies; hence, the practice and development of minimally invasive strategies for this subgroup of patients undergoing epilepsy surgery is perhaps most important.
Collapse
Affiliation(s)
| | - Siby Gopinath
- 2Department of Neurology, Amrita Advanced Centre for Epilepsy, Amrita Institute of Medical Sciences & Research Centre, Kochi, India
| | | |
Collapse
|
15
|
Quigg M, Kundu B. Dynamic FDG-PET demonstration of functional brain abnormalities. Ann Clin Transl Neurol 2022; 9:1487-1497. [PMID: 36069052 PMCID: PMC9463948 DOI: 10.1002/acn3.51546] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/27/2022] Open
Abstract
Positron emission tomography with fluorine‐18 fluorodeoxyglucose (18F‐FDG‐PET) has been used over 3 decades to map patterns of brain glucose metabolism to evaluate normal brain function or demonstrate abnormalities of metabolism in brain disorders. Traditional PET maps patterns of absolute tracer uptake but has demonstrated shortcomings in disorders such as brain neoplasm or focal epilepsy in the ability to resolve normally from pathological tissue. In this review, we describe an alternative process of metabolic mapping, dynamic PET. This new technology quantifies the dynamics of tracer uptake and decays with the goal of improving the functional mapping of the desired metabolic activity in the target organ. We discuss technical implementation and findings of initial pilot studies in brain tumor treatment and epilepsy surgery.
Collapse
Affiliation(s)
- Mark Quigg
- Department of Neurology, University of Virginia, Charlottesville, Virginia, 22908, USA
| | - Bijoy Kundu
- Departments of Radiology & Medical Imaging and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| |
Collapse
|
16
|
Zhao Z, Li H, Wang S, Chen C, He C, Hu L, Zheng Z, Zhu J, Ding M, Wang S, Ding Y. Patterns of hypometabolism in frontal lobe epilepsy originating in different frontal regions. Ann Clin Transl Neurol 2022; 9:1336-1344. [PMID: 35836348 PMCID: PMC9463953 DOI: 10.1002/acn3.51630] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 05/05/2022] [Accepted: 05/09/2022] [Indexed: 12/03/2022] Open
Abstract
Objectives Analysis of FDG‐PET imaging commonly shows that hypometabolism extends into extra‐epileptogenic zones (extra‐EZ). This study investigates the distribution patterns of hypometabolism in frontal lobe epilepsy (FLE) originating in different frontal regions. Methods Sixty‐four patients with FLE were grouped by EZ localization according to Brodmann areas (BAs): Group 1 (the frontal motor and premotor area), BAs 4, 6, and 8; Group 2 (the inferior frontal gyrus and opercular area), BAs 44, 45, and 47; Group 3 (the dorsal prefrontal area), BAs 9, 10, 11, and 46; and Group 4 (the medial frontal and anterior cingulate gyrus), BAs 32 and 24. Regions of extra‐EZ hypometabolism were statistically analyzed between FLE groups and healthy controls. Correlation analysis was performed to identify relationships between the intensity of hypometabolism and clinical characteristics. Results Significant hypometabolism in the ipsilateral (Groups 1 and 4) or bilateral (Groups 2 and 3) anterior insulae was found. Groups 1 and 4 presented with limited distribution of extra‐EZ hypometabolism, whereas Groups 2 and 3 showed widely distributed extra‐EZ hypometabolism in the rectus gyrus, cingulate gyrus, and other regions. Additionally, the intensity of hypometabolism was correlated with epilepsy duration in Groups 2 and 3. Conclusions All FLE groups showed hypometabolism in the anterior insula. In addition, distinct patterns of extra‐EZ hypometabolism were identified for each FLE group. This quantitative FDG‐PET analysis expanded our understanding of the topography of epileptic networks and can guide EZ localization in the future.
Collapse
Affiliation(s)
- Zexian Zhao
- Department of Neurology, Zhejiang Hospital, Hangzhou, Zhejiang, China
| | - Hong Li
- Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Shan Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Cong Chen
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Chenmin He
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Lingli Hu
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhe Zheng
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Junming Zhu
- Department of Neurosurgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Meiping Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Shuang Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yao Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| |
Collapse
|
17
|
Carvalho MS, Alvim MKM, Etchebehere E, Santos ADO, Ramos CD, Argenton JLP, Cendes F, Amorim BJ. Interictal and postictal 18F-FDG PET/CT in epileptogenic zone localization. Radiol Bras 2022; 55:273-279. [PMID: 36320375 PMCID: PMC9620847 DOI: 10.1590/0100-3984.2021.0141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/22/2021] [Indexed: 11/25/2022] Open
Abstract
Objective To evaluate the performance of 18F-fluorodeoxyglucose
positron-emission tomography/computed tomography ( 18F-FDG
PET/CT) in localizing epileptogenic zones, comparing 18F-FDG
injection performed in the traditional interictal period with that performed
near the time of a seizure. Materials and Methods We evaluated patients with refractory epilepsy who underwent
18F-FDG PET/CT. The reference standards for localization of the
epileptogenic zone were histopathology and follow-up examinations (in
patients who underwent surgery) or serial electroencephalography (EEG)
recordings, long-term video EEG, and magnetic resonance imaging (in patients
who did not). The 18F-FDG injection was performed whether the
patient had an epileptic seizure during the EEG monitoring period or not.
The 18F-FDG PET/CT results were categorized as concordant or
discordant with the reference standards. Results Of the 110 patients evaluated, 10 were in a postictal group (FDG injection
after a seizure) and 100 were in the interictal group. The
18F-FDG PET/CT was concordant with the reference standards in
nine (90%) of the postictal group patients and in 60 (60%) of the interictal
group patients. Among the nine postictal group patients in whom the results
were concordant, the 18F-FDG PET/CT showed hypermetabolism and
hypometabolism in the epileptogenic zone in four (44.4%) and five (55.6%),
respectively. Conclusion Our data indicate that 18F-FDG PET/CT is a helpful tool for
localization of the epileptogenic zone and that EEG monitoring is an
important means of correlating the findings. In addition, postictal
18F-FDG PET/CT is able to identify the epileptogenic zone by
showing either hypometabolism or hypermetabolism.
Collapse
|
18
|
High density electric source imaging in childhood-onset epilepsy due to focal cortical dysplasia. Clin Neurophysiol Pract 2022; 7:245-251. [PMID: 36062078 PMCID: PMC9428727 DOI: 10.1016/j.cnp.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/01/2022] [Accepted: 07/19/2022] [Indexed: 11/22/2022] Open
Abstract
ESI with 64 electrodes allows accurate localization of the epileptogenic area in patients with FCD. Concordant results with other imaging techniques is associated with excellent outcome. ESI should become a standard imaging tool in pediatric surgical candidates with FCD.
Objective The goal of this study was to investigate the diagnostic utility of electric source imaging (ESI) in the presurgical evaluation of children with focal cortical dysplasia (FCD) and to compare it with other imaging techniques. Methods Twenty patients with epilepsy onset before 18 years, surgically treated focal epilepsy with a minimal follow-up of 2 years, and histologically proven FCD were retrospectively selected. All patients underwent MRI, positron emission tomography (PET), and 16 patients also had ictal single-photon emission computed tomography (iSPECT). ESI, using EEG with 64 electrodes or more (HD-ESI), was performed in all 20 patients. We determined sensitivity, specificity and accuracy of ESI, and compared its yield to that of other imaging techniques. Results Twelve patients were seizure-free post-operatively (60%). Among all patients, highest localization accuracy (80%) was obtained with ESI, followed by PET and iSPECT (75%). When results from ESI and SPECT were concordant 100% of patients achieved Engel I outcome. If ESI and PET showed concordant localization, 90% of patients achieved postoperative seizure freedom. Conclusions Our findings demonstrate that HD-ESI allows accurate localization of the epileptogenic zone in patients with FCD. Significance In combination with other imaging modalities, ESI helps with planning a more accurate surgery and therefore, the chances of postoperative seizure control are higher. Since it is based on EEG recordings, it does not require sedation, which is particularly interesting in pediatric patients. ESI represents an important imaging tool in focal epilepsies due to cortical dysplasia, which might be difficult to detect on standard imaging.
Collapse
|
19
|
PET/MRI in the Presurgical Evaluation of Patients with Epilepsy: A Concordance Analysis. Biomedicines 2022; 10:biomedicines10050949. [PMID: 35625684 PMCID: PMC9138772 DOI: 10.3390/biomedicines10050949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/04/2022] [Accepted: 04/13/2022] [Indexed: 11/17/2022] Open
Abstract
The aim of our prospective study was to evaluate the clinical impact of hybrid [18F]-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging ([18F]-FDG PET/MRI) on the decision workflow of epileptic patients with discordant electroclinical and MRI data. A novel mathematical model was introduced for a clinical concordance calculation supporting the classification of our patients by subgroups of clinical decisions. Fifty-nine epileptic patients with discordant clinical and diagnostic results or MRI negativity were included in this study. The diagnostic value of the PET/MRI was compared to other modalities of presurgical evaluation (e.g., electroclinical data, PET, and MRI). The results of the population-level statistical analysis of the introduced data fusion technique and concordance analysis demonstrated that this model could be the basis for the development of a more accurate clinical decision support parameter in the future. Therefore, making the establishment of “invasive” (operable and implantable) and “not eligible for any further invasive procedures” groups could be much more exact. Our results confirmed the relevance of PET/MRI with the diagnostic algorithm of presurgical evaluation. The introduction of a concordance analysis could be of high importance in clinical and surgical decision-making in the management of epileptic patients. Our study corroborated previous findings regarding the advantages of hybrid PET/MRI technology over MRI and electroclinical data.
Collapse
|
20
|
Shih YC, Lee TH, Yu HY, Chou CC, Lee CC, Lin PT, Peng SJ. Machine Learning Quantitative Analysis of FDG PET Images of Medial Temporal Lobe Epilepsy Patients. Clin Nucl Med 2022; 47:287-293. [PMID: 35085166 PMCID: PMC8884180 DOI: 10.1097/rlu.0000000000004072] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/20/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE 18F-FDG PET is widely used in epilepsy surgery. We established a robust quantitative algorithm for the lateralization of epileptogenic foci and examined the value of machine learning of 18F-FDG PET data in medial temporal lobe epilepsy (MTLE) patients. PATIENTS AND METHODS We retrospectively reviewed patients who underwent surgery for MTLE. Three clinicians identified the side of MTLE epileptogenesis by visual inspection. The surgical side was set as the epileptogenic side. Two parcellation paradigms and corresponding atlases (Automated Anatomical Labeling and FreeSurfer aparc + aseg) were used to extract the normalized PET uptake of the regions of interest (ROIs). The lateralization index of the MTLE-associated regions in either hemisphere was calculated. The lateralization indices of each ROI were subjected for machine learning to establish the model for classifying the side of MTLE epileptogenesis. RESULT Ninety-three patients were enrolled for training and validation, and another 11 patients were used for testing. The hit rate of lateralization by visual analysis was 75.3%. Among the 23 patients whose MTLE side of epileptogenesis was incorrectly determined or for whom no conclusion was reached by visual analysis, the Automated Anatomical Labeling and aparc + aseg parcellated the associated ROIs on the correctly lateralized MTLE side in 100.0% and 82.6%. In the testing set, lateralization accuracy was 100% in the 2 paradigms. CONCLUSIONS Visual analysis of 18F-FDG PET to lateralize MTLE epileptogenesis showed a lower hit rate compared with machine-assisted interpretation. While reviewing 18F-FDG PET images of MTLE patients, considering the regions associated with MTLE resulted in better performance than limiting analysis to hippocampal regions.
Collapse
Affiliation(s)
- Yen-Cheng Shih
- From the Department of Neurology, Neurological Institute, Taipei Veterans General Hospital
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine
- Brain Research Center, National Yang Ming Chiao Tung University
| | - Tse-Hao Lee
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine
- Departments of Nuclear Medicine
| | - Hsiang-Yu Yu
- From the Department of Neurology, Neurological Institute, Taipei Veterans General Hospital
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine
- Brain Research Center, National Yang Ming Chiao Tung University
| | - Chien-Chen Chou
- From the Department of Neurology, Neurological Institute, Taipei Veterans General Hospital
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine
- Brain Research Center, National Yang Ming Chiao Tung University
| | - Cheng-Chia Lee
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine
- Brain Research Center, National Yang Ming Chiao Tung University
- Neurosurgery, Neurological Institute, Taipei Veterans General Hospital
| | - Po-Tso Lin
- From the Department of Neurology, Neurological Institute, Taipei Veterans General Hospital
- School of Medicine, National Yang Ming Chiao Tung University College of Medicine
- Brain Research Center, National Yang Ming Chiao Tung University
| | - Syu-Jyun Peng
- Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| |
Collapse
|
21
|
Kosugi K, Iijima K, Yokosako S, Takayama Y, Kimura Y, Kaneko Y, Sumitomo N, Saito T, Nakagawa E, Sato N, Iwasaki M. Low EEG Gamma Entropy and Glucose Hypometabolism After Corpus Callosotomy Predicts Seizure Outcome After Subsequent Surgery. Front Neurol 2022; 13:831126. [PMID: 35401399 PMCID: PMC8989433 DOI: 10.3389/fneur.2022.831126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/09/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundPatients with generalized epilepsy who had lateralized EEG abnormalities after corpus callosotomy (CC) occasionally undergo subsequent surgeries to control intractable epilepsy.ObjectivesThis study evaluated retrospectively the combination of EEG multiscale entropy (MSE) and FDG-PET for identifying lateralization of the epileptogenic zone after CC.MethodsThis study included 14 patients with pharmacoresistant epilepsy who underwent curative epilepsy surgery after CC. Interictal scalp EEG and FDG-PET obtained after CC were investigated to determine (1) whether the MSE calculated from the EEG and FDG-PET findings was lateralized to the surgical side, and (2) whether the lateralization was associated with seizure outcomes.ResultsSeizure reduction rate was higher in patients with lateralized findings to the surgical side than those without (MSE: p < 0.05, FDG-PET: p < 0.05, both: p < 0.01). Seizure free rate was higher in patients with lateralized findings in both MSE and FDG-PET than in those without (p < 0.05).ConclusionsThis study demonstrated that patients with lateralization of MSE and FDG-PET to the surgical side had better seizure outcomes. The combination of MSE and conventional FDG-PET may help to select surgical candidates for additional surgery after CC with good postoperative seizure outcomes.
Collapse
Affiliation(s)
- Kenzo Kosugi
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Keiya Iijima
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Suguru Yokosako
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Yutaro Takayama
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Yuiko Kimura
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Yuu Kaneko
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Noriko Sumitomo
- Department of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Takashi Saito
- Department of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Eiji Nakagawa
- Department of Child Neurology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Noriko Sato
- Department of Radiology, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Masaki Iwasaki
- Department of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Japan
- *Correspondence: Masaki Iwasaki
| |
Collapse
|
22
|
Khalaf A, Nadel H, Dahmoush H. Simultaneously Acquired MRI Arterial Spin-Labeling and Interictal FDG-PET Improves Diagnosis of Pediatric Temporal Lobe Epilepsy. AJNR Am J Neuroradiol 2022; 43:468-473. [PMID: 35210273 PMCID: PMC8910808 DOI: 10.3174/ajnr.a7421] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 12/06/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Interictal FDG-PET scans are a routine diagnostic technique for the identification of epileptogenic foci in the presurgical work-up of medically refractory pediatric epilepsy. With the advent of PET/MR imaging, it has become possible to simultaneously acquire FDG-PET and arterial spin-labeling perfusion data. The objective of this study was to evaluate whether the incorporation of arterial spin-labeling data with interictal FDG-PET could improve the diagnostic performance metrics of FDG-PET for identification of epileptogenic foci. MATERIALS AND METHODS Forty-five pediatric patients with a mean age of 10.8 years were retrospectively included in this study. These patients all underwent PET/MR imaging to diagnose suspected focal epilepsy. RESULTS When compared to interpretations of interictal FDG findings alone, FDG combined with arterial spin-labeling findings resulted in significantly decreased sensitivity (0.64 versus 0.52, P = .02), significantly increased specificity (0.50 versus 0.75, P = .04), and an increased positive predictive value (0.59 versus 0.75). The decreased sensitivity was found to be primarily driven by patients with extratemporal lobe epilepsy, as a subgroup analysis showed decreased sensitivity for patients with extratemporal epilepsy (0.52 versus 0.38, P = .04), but not for temporal epilepsy (0.83 versus 0.75, P = .16). Additionally, substantial agreement between focal FDG hypometabolism and arterial spin-labeling hypoperfusion was demonstrated with the Cohen κ (0.70, P < .01). CONCLUSIONS These findings suggest that simultaneously acquired interictal FDG-PET and arterial spin-labeling data can improve the diagnosis of epileptogenic foci, especially in the setting of temporal lobe epilepsy where they improve specificity and positive predictive value, with preservation of sensitivity.
Collapse
Affiliation(s)
- A.M. Khalaf
- From the Stanford University School of Medicine, Department of Radiology, Division of Nuclear Medicine & Molecular Imaging, Division of Pediatric Radiology, Division of Neuroimaging & Neurointervention, Stanford University, Stanford, California
| | - H.R. Nadel
- From the Stanford University School of Medicine, Department of Radiology, Division of Nuclear Medicine & Molecular Imaging, Division of Pediatric Radiology, Division of Neuroimaging & Neurointervention, Stanford University, Stanford, California
| | - H.M. Dahmoush
- From the Stanford University School of Medicine, Department of Radiology, Division of Nuclear Medicine & Molecular Imaging, Division of Pediatric Radiology, Division of Neuroimaging & Neurointervention, Stanford University, Stanford, California
| |
Collapse
|
23
|
Steinbrenner M, Duncan JS, Dickson J, Rathore C, Wächter B, Aygun N, Menon RN, Radhakrishnan A, Holtkamp M, Ilyas-Feldmann M. Utility of 18F-fluorodeoxyglucose positron emission tomography in presurgical evaluation of patients with epilepsy: A multicenter study. Epilepsia 2022; 63:1238-1252. [PMID: 35166379 DOI: 10.1111/epi.17194] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 02/02/2022] [Accepted: 02/02/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET) is widely used in presurgical assessment in patients with drug-resistant focal epilepsy (DRE) if magnetic resonance imaging (MRI) and scalp electroencephalography (EEG) do not localize the seizure onset zone or are discordant. METHODS In this multicenter, retrospective observational cohort study, we included consecutive patients with DRE who had undergone FDG-PET as part of their presurgical workup. We assessed the utility of FDG-PET, which was defined as contributing to the decision-making process to refer for resection or intracranial EEG (iEEG) or to conclude surgery was not feasible. RESULTS We included 951 patients in this study; 479 had temporal lobe epilepsy (TLE), 219 extratemporal epilepsy (ETLE), and 253 epilepsy of uncertain lobar origin. FDG-PET showed a distinct hypometabolism in 62% and was concordant with ictal EEG in 74% in TLE and in 56% in ETLE (p < .001). FDG-PET was useful in presurgical decision-making in 396 patients (47%) and most beneficial in TLE compared to ETLE (58% vs. 44%, p = .001). Overall, FDG-PET contributed to recommending resection in 78 cases (20%) and iEEG in 187 cases (47%); in 131 patients (33%), FDG-PET resulted in a conclusion that resection was not feasible. In TLE, seizure-freedom 1 year after surgery did not differ significantly (p = .48) between patients with negative MRI and EEG-PET concordance (n = 30, 65%) and those with positive MRI and concordant EEG (n = 46, 68%). In ETLE, half of patients with negative MRI and EEG-PET concordance and three quarters with positive MRI and concordant EEG were seizure-free postsurgery (n = 5 vs. n = 6, p = .28). SIGNIFICANCE This is the largest reported cohort of patients with DRE who received presurgical FDG-PET, showing that FDG-PET is a useful diagnostic tool. MRI-negative and MRI-positive cases with concordant FDG-PET results (with either EEG or MRI) had a comparable outcome after surgery. These findings confirm the significance of FDG-PET in presurgical epilepsy diagnostics.
Collapse
Affiliation(s)
- Mirja Steinbrenner
- Department of Neurology and Experimental Neurology, Epilepsy Center Berlin-Brandenburg, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Clinical and Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, UK
| | - John S Duncan
- Department of Clinical and Experimental Epilepsy, National Hospital for Neurology and Neurosurgery, London, UK
| | - John Dickson
- Institute of Nuclear Medicine, University College London Hospitals, London, UK
| | - Chaturbhuj Rathore
- Department of Neurology, Smt. B. K. Shah (SBKS) Medical College, Sumandeep Vidyapeeth, Vadodara, India
| | - Bettina Wächter
- Epilepsy Center Berlin-Brandenburg, Evangelische Krankenhaus Königin Elisabeth Herzberge, Berlin, Germany
| | - Nafi Aygun
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ramshekhar N Menon
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Ashalatha Radhakrishnan
- Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Martin Holtkamp
- Department of Neurology and Experimental Neurology, Epilepsy Center Berlin-Brandenburg, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Epilepsy Center Berlin-Brandenburg, Evangelische Krankenhaus Königin Elisabeth Herzberge, Berlin, Germany
| | - Maria Ilyas-Feldmann
- Department of Neurology and Experimental Neurology, Epilepsy Center Berlin-Brandenburg, Charité-Universitätsmedizin Berlin, Berlin, Germany
| |
Collapse
|
24
|
Zhou H, Zhang W, Tan Z, Zhou Z, Li Y, Zhang S, Zhang L, Gan J, Wu H, Tang Y, Cheng Y, Ling X, Guo Q, Xu H. Localizing Epileptic Foci Before Surgery in Patients With MRI-Negative Refractory Epilepsy Using Statistical Parameter Mapping and Three-Dimensional Stereotactic Surface Projection Based on 18F-FDG PET. Front Bioeng Biotechnol 2022; 9:810890. [PMID: 35071215 PMCID: PMC8766976 DOI: 10.3389/fbioe.2021.810890] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/13/2021] [Indexed: 11/17/2022] Open
Abstract
Patients with refractory epilepsy are not only free of seizures after resecting epileptic foci, but also experience significantly improved quality of life. Fluorine-18-fluorodeoxyglucose positron-emission tomography (18F-FDG PET) is a promising avenue for detecting epileptic foci in patients with magnetic resonance imaging (MRI)-negative refractory epilepsy. However, the detection of epileptic foci by visual assessment based on 18F-FDG PET is often complicated by a variety of factors in clinical practice. Easy imaging methods based on 18F-FDG PET images, such as statistical parameter mapping (SPM) and three-dimensional stereotactic surface projection (3D-SSP), can objectively detect epileptic foci. In this study, the regions of surgical resection of patients with over 1 year follow-up and no seizures were defined as standard epileptic foci. We retrospectively analyzed the sensitivity of visual assessment, SPM and 3D-SSP based on 18F-FDG PET to detect epileptic foci in MRI-negative refractory epilepsy patients and obtained the sensitivities of visual assessment, SPM and 3D-SSP are 57, 70 and 60% respectively. Visual assessment combined with SPM or 3D-SSP can improve the sensitivity of detecting epileptic foci. The sensitivity was highest when the three methods were combined, but decreased consistency, in localizing epileptic foci. We conclude that SPM and 3D-SSP can be used as objective methods to detect epileptic foci before surgery in patients with MRI-negative refractory epilepsy. Visual assessment is the preferred method for PET image analysis in MRI-negative refractory epilepsy. When the visual assessment is inconsistent with the patient's electroclinical information, SPM or 3D-SSP was further selected to assess the epileptic foci. If the combination of the two methods still fails to accurately locate the epileptic foci, comprehensive evaluation can be performed by combining the three methods.
Collapse
Affiliation(s)
- Hailing Zhou
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Wei Zhang
- Epilepsy Center, Guangdong 999 Brain Hospital, Affiliated Brain Hospital of Jinan University, Guangzhou, China
| | - Zhiqiang Tan
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ziqing Zhou
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ying Li
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shaojuan Zhang
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Lingling Zhang
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiefeng Gan
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Huanhua Wu
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yongjin Tang
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yong Cheng
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xueying Ling
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qiang Guo
- Epilepsy Center, Guangdong 999 Brain Hospital, Affiliated Brain Hospital of Jinan University, Guangzhou, China
| | - Hao Xu
- Department of Nuclear Medicine, PET/CT-MRI Center, Center of Cyclotron and PET Radiopharmaceuticals, The First Affiliated Hospital of Jinan University, Guangzhou, China
| |
Collapse
|
25
|
Sollee J, Tang L, Igiraneza AB, Xiao B, Bai HX, Yang L. Artificial Intelligence for Medical Image Analysis in Epilepsy. Epilepsy Res 2022; 182:106861. [DOI: 10.1016/j.eplepsyres.2022.106861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 11/18/2021] [Accepted: 01/16/2022] [Indexed: 11/16/2022]
|
26
|
18F-FDG PET/MR in focal epilepsy: A new step for improving the detection of epileptogenic lesions. Epilepsy Res 2021; 178:106819. [PMID: 34847426 DOI: 10.1016/j.eplepsyres.2021.106819] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 10/19/2021] [Accepted: 11/15/2021] [Indexed: 11/20/2022]
Abstract
PURPOSE Hybrid PET/MR is a promising tool in focal drug-resistant epilepsy, however the additional value for the detection of epileptogenic lesions and surgical decision-making remains to be established. METHODS We retrospectively compared 18F-FDG PET/MR images with those obtained by a previous 18F-FDG PET co-registered with MRI (PET+MR) in 25 consecutive patients (16 females, 13-60 years) investigated for focal drug-resistant epilepsy. Visual analysis was performed by two readers blinded from imaging modalities, asked to assess the technical characteristics (co-registration, quality of images), the confidence in results, the location of PET abnormalities and the presence of a structural lesion on MRI. Clinical impact on surgical strategy and outcome was assessed independently. RESULTS The location of epileptic focus was temporal in 9 patients and extra-temporal in 16 others. MRI was initially considered negative in 21 patients. PET stand-alone demonstrated metabolic abnormalities in 19 cases (76%), and the co-registration with MRI allowed the detection of 4 additional structural lesions. Compared to PET+MR, the PET/MR sensitivity was increased by 13% and new structural lesions (mainly focal cortical dysplasias) were detected in 6 patients (24%). Change of surgical decision-making was substantial for 10 patients (40%), consisting in avoiding invasive monitoring in 6 patients and modifying the planning in 4 others. Seizure-free outcome (follow-up>1 year) was obtained in 12/14 patients who underwent a cortical resection. CONCLUSION Hybrid PET/MR may improve the detection of epileptogenic lesions, allowing to optimize the presurgical work-up and to increase the proportion of successful surgery even in the more complex cases.
Collapse
|
27
|
Bouilleret V, Dedeurwaerdere S. What value can TSPO PET bring for epilepsy treatment? Eur J Nucl Med Mol Imaging 2021; 49:221-233. [PMID: 34120191 DOI: 10.1007/s00259-021-05449-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 06/03/2021] [Indexed: 12/13/2022]
Abstract
Epilepsy is one of the most common neurological disorders and affects both the young and adult populations. The question we asked for this review was how positron emission tomography (PET) imaging with translocator protein (TSPO) radioligands can help inform the epilepsy clinic and the development of future treatments targeting neuroinflammatory processes.Even though the first TSPO PET scans in epilepsy patients were performed over 20 years ago, this imaging modality has not seen wide adoption in the clinic. There is vast scientific evidence from preclinical studies in rodent models of temporal lobe epilepsy which have shown increased levels of TSPO corresponding to neuroinflammatory processes in the brain. These increases peaked sub-acutely (1-2 weeks) after the epileptogenic insult (e.g. status epilepticus) and remained chronically increased, albeit at lower levels. In addition, these studies have shown a correlation between TSPO levels and seizure outcome, pharmacoresistance and behavioural morbidities. Histological assessment points to a complex interplay between different cellular components such as microglial activation, astrogliosis and cell death changing dynamically over time.In epilepsy patients, a highly sensitive biomarker of neuroinflammation would provide value for the optimization of surgical assessment (particularly for extratemporal lobe epilepsy) and support the clinical development path of anti-inflammatory treatments. Clinical studies have shown a systematic increase in asymmetry indices of TSPO PET binding. However, region-based analysis typically does not yield statistical differences and changes are often not restricted to the epileptogenic zone, limiting the ability of this imaging modality to localise pathology for surgery. In this manuscript, we discuss the biological underpinnings of these findings and review for which applications in epilepsy TSPO PET could bring added value.
Collapse
Affiliation(s)
- Viviane Bouilleret
- Unité de Neurophysiologie et d'Epileptologie (UNCE), Université Paris-Saclay APHP, 78, Rue du Général Leclerc, 94275, Le Kremlin Bicêtre, France.
- CEA, CNRS, Inserm, BioMaps, Université Paris-Saclay, Orsay, France.
| | - Stefanie Dedeurwaerdere
- Neurosciences Therapeutic Area, Early Solutions, UCB Pharma, Braine-l'Alleud, Belgium
- Experimental Laboratory of Haematology, University of Antwerp, Wilrijk, Belgium
| |
Collapse
|
28
|
Li Y, Vigneron DB, Xu D. Current human brain applications and challenges of dynamic hyperpolarized carbon-13 labeled pyruvate MR metabolic imaging. Eur J Nucl Med Mol Imaging 2021; 48:4225-4235. [PMID: 34432118 PMCID: PMC8566394 DOI: 10.1007/s00259-021-05508-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 07/27/2021] [Indexed: 12/17/2022]
Abstract
The ability of hyperpolarized carbon-13 MR metabolic imaging to acquire dynamic metabolic information in real time is crucial to gain mechanistic insights into metabolic pathways, which are complementary to anatomic and other functional imaging methods. This review presents the advantages of this emerging functional imaging technology, describes considerations in clinical translations, and summarizes current human brain applications. Despite rapid development in methodologies, significant technological and physiological related challenges continue to impede broader clinical translation.
Collapse
Affiliation(s)
- Yan Li
- Department of Radiology and Biomedical Imaging, UCSF Radiology, University of California, 185 Berry Street, Ste 350, Box 0946, San Francisco, CA, 94107, USA.
| | - Daniel B Vigneron
- Department of Radiology and Biomedical Imaging, UCSF Radiology, University of California, 185 Berry Street, Ste 350, Box 0946, San Francisco, CA, 94107, USA
| | - Duan Xu
- Department of Radiology and Biomedical Imaging, UCSF Radiology, University of California, 185 Berry Street, Ste 350, Box 0946, San Francisco, CA, 94107, USA
| |
Collapse
|
29
|
Zhang T, Li Y, Zhao S, Xu Y, Zhang X, Wu S, Dou X, Yu C, Feng J, Ding Y, Zhu J, Chen Z, Zhang H, Tian M. High-resolution pediatric age-specific 18F-FDG PET template: a pilot study in epileptogenic focus localization. Eur J Nucl Med Mol Imaging 2021; 49:1560-1573. [PMID: 34746970 PMCID: PMC8940757 DOI: 10.1007/s00259-021-05611-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/28/2021] [Indexed: 12/16/2022]
Abstract
Background PET imaging has been widely used in diagnosis of neurological disorders; however, its application to pediatric population is limited due to lacking pediatric age–specific PET template. This study aims to develop a pediatric age–specific PET template (PAPT) and conduct a pilot study of epileptogenic focus localization in pediatric epilepsy. Methods We recruited 130 pediatric patients with epilepsy and 102 age-matched controls who underwent 18F-FDG PET examination. High-resolution PAPT was developed by an iterative nonlinear registration-averaging optimization approach for two age ranges: 6–10 years (n = 17) and 11–18 years (n = 50), respectively. Spatial normalization to the PAPT was evaluated by registration similarities of 35 validation controls, followed by estimation of potential registration biases. In a pilot study, epileptogenic focus was localized by PAPT-based voxel-wise statistical analysis, compared with multi-disciplinary team (MDT) diagnosis, and validated by follow-up of patients who underwent epilepsy surgery. Furthermore, epileptogenic focus localization results were compared among three templates (PAPT, conventional adult template, and a previously reported pediatric linear template). Results Spatial normalization to the PAPT significantly improved registration similarities (P < 0.001), and nearly eliminated regions of potential biases (< 2% of whole brain volume). The PAPT-based epileptogenic focus localization achieved a substantial agreement with MDT diagnosis (Kappa = 0.757), significantly outperforming localization based on the adult template (Kappa = 0.496) and linear template (Kappa = 0.569) (P < 0.05). The PAPT-based localization achieved the highest detection rate (89.2%) and accuracy (80.0%). In postsurgical seizure-free patients (n = 40), the PAPT-based localization also achieved a substantial agreement with resection areas (Kappa = 0.743), and the highest detection rate (95%) and accuracy (80.0%). Conclusion The PAPT can significantly improve spatial normalization and epileptogenic focus localization in pediatric epilepsy. Future pediatric neuroimaging studies can also benefit from the unbiased spatial normalization by PAPT. Trial registration. NCT04725162: https://clinicaltrials.gov/ct2/show/NCT04725162 Supplementary Information The online version contains supplementary material available at 10.1007/s00259-021-05611-w.
Collapse
Affiliation(s)
- Teng Zhang
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.,Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
| | - Yuting Li
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.,Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
| | - Shuilin Zhao
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.,Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
| | - Yuanfan Xu
- Hangzhou Universal Medical Imaging Diagnostic Center, Hangzhou, China
| | - Xiaohui Zhang
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.,Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
| | - Shuang Wu
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Xiaofeng Dou
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Congcong Yu
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China.,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China
| | - Jianhua Feng
- Department of Pediatrics, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yao Ding
- Department of Neurology, Epilepsy Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Junming Zhu
- Department of Neurosurgery, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Zexin Chen
- Center of Clinical Epidemiology & Biostatistics, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Hong Zhang
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China. .,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China. .,Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China. .,The College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China.
| | - Mei Tian
- Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009, Zhejiang, China. .,Institute of Nuclear Medicine and Molecular Imaging of Zhejiang University, Hangzhou, China.
| |
Collapse
|
30
|
Nadkarni T, Dabir A, Niazi F, Marano G, Bhatia S, Prisneac I, Sener U. Drug-resistant high grade glioma-related epilepsy surgery for focal motor status epilepticus localized by CT-PET imaging. Epilepsy Behav Rep 2021; 16:100484. [PMID: 34622193 PMCID: PMC8479237 DOI: 10.1016/j.ebr.2021.100484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/05/2021] [Accepted: 09/08/2021] [Indexed: 11/09/2022] Open
Abstract
Drug-resistant epilepsy is a frequent complication of primary brain. FDG-PET can localize epileptogenic foci and guide surgical resection. Hypermetabolic focus identification and targeted resection can achieve seizure control.
Tumor-related epilepsy is a frequent complication of glioblastoma with seizures often representing the first manifestation of the malignancy. Though tumor resection is associated with improved seizure control, extensive surgery is not always feasible if eloquent cortex is involved in seizure generation and early propagation. We describe a case of a patient with glioblastoma with drug-resistant focal status epilepticus where fluorodeoxyglucose positron emission tomography imaging was successfully used to localize the seizure-onset and optimize tumor resection. This led to successful resection of hypermetabolic tumor tissue and resolution of focal status epilepticus without damage to eloquent cortex.
Collapse
Affiliation(s)
- Tanvi Nadkarni
- Department of Neurology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| | - Aman Dabir
- Department of Neurology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| | - Faraze Niazi
- Department of Neurology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| | - Gary Marano
- Department of Radiology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| | - Sanjay Bhatia
- Department of Neurosurgery, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| | - Ion Prisneac
- Department of Pathology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| | - Ugur Sener
- Department of Neurology, West Virginia University, 1 Medical Center Dr, Morgantown, WV 26506, United States
| |
Collapse
|
31
|
Yan R, Zhang H, Wang J, Zheng Y, Luo Z, Zhang X, Xu Z. Application value of molecular imaging technology in epilepsy. IBRAIN 2021; 7:200-210. [PMID: 37786793 PMCID: PMC10528966 DOI: 10.1002/j.2769-2795.2021.tb00084.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/16/2021] [Accepted: 09/02/2021] [Indexed: 10/04/2023]
Abstract
Epilepsy is a common neurological disease with various seizure types, complicated etiologies, and unclear mechanisms. Its diagnosis mainly relies on clinical history, but an electroencephalogram is also a crucial auxiliary examination. Recently, brain imaging technology has gained increasing attention in the diagnosis of epilepsy, and conventional magnetic resonance imaging can detect epileptic foci in some patients with epilepsy. However, the results of brain magnetic resonance imaging are normal in some patients. New molecular imaging has gradually developed in recent years and has been applied in the diagnosis of epilepsy, leading to enhanced lesion detection rates. However, the application of these technologies in epilepsy patients with negative brain magnetic resonance must be clarified. Thus, we reviewed the relevant literature and summarized the information to improve the understanding of the molecular imaging application value of epilepsy.
Collapse
Affiliation(s)
- Rong Yan
- Department of NeurologyThe Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Hai‐Qing Zhang
- Department of NeurologyThe Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Jing Wang
- Prevention and Health Care, The Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Yong‐Su Zheng
- Department of NeurologyThe Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Zhong Luo
- Department of NeurologyThe Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Xia Zhang
- Department of NeurologyThe Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| | - Zu‐Cai Xu
- Department of NeurologyThe Affiliated Hospital of Zunyi Medical UniversityZunyiGuizhouChina
| |
Collapse
|
32
|
Dynamic FDG-PET in localization of focal epilepsy: A pilot study. Epilepsy Behav 2021; 122:108204. [PMID: 34311181 PMCID: PMC8436183 DOI: 10.1016/j.yebeh.2021.108204] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 06/29/2021] [Indexed: 11/22/2022]
Abstract
Epilepsy surgery remains underutilized, in part because non-invasive methods of potential seizure foci localization are inadequate. We used high-resolution, parametric quantification from dynamic 2-[18F] fluoro-2-deoxy-d-glucose positron emission tomography (dFDG-PET) imaging to locate hypometabolic foci in patients whose standard clinical static PET images were normal. We obtained dFDG-PET brain images with simultaneous EEG in a one-hour acquisition on seven patients with no MRI evidence of focal epilepsy to record uptake and focal radiation decay. Images were attenuation- and motion-corrected and co-registered with high-resolution T1-weighted patient MRI and segmented into 18 regions of interest (ROI) per hemisphere. Tracer uptake was calibrated with a model corrected blood input function with partial volume (PV) corrections to generate tracer parametric maps compared between mean radiation values between hemispheres with z-scores. We identified ROI with the lowest negative z scores (<-1.65 SD) as hypometabolic. Dynamic 2-[18F] fluoro-2-deoxy-d-glucose positron emission tomography ( found focal regions of altered metabolism in all cases in which standard clinical FDG-PET found no abnormalities. This pilot study of dynamic FDG-PET suggests that further research is merited to evaluate whether glucose dynamics offer improved clinical utility for localization of epileptic foci over standard static techniques.
Collapse
|
33
|
Abstract
BACKGROUND A large number of patients have epilepsy that is intractable and adversely affects a child's lifelong experience with addition societal burden that is disabling and expensive. The last two decades have seen a major explosion of new antiseizure medication options. Despite these advances, children with epilepsy continue to have intractable seizures. An option that has been long available but little used is epilepsy surgery to control intractable epilepsy. METHODS This article is a review of the literature as well as published opinions. RESULTS Epilepsy surgery in pediatrics is an underused modality to effectively treat children with epilepsy. Adverse effects of medication should be weighed against risks of surgery as well as risks of nonefficacy. CONCLUSIONS We discuss an approach to selecting the appropriate pediatric patient for consideration, a detailed evaluation including necessary evaluation, and the creation of an algorithm to approach patients with both generalized and focal epilepsy. We then discuss surgical options available including outcome data. New modalities are also addressed including high-frequency ultrasound and co-registration techniques including magnetic resonance imaging-guided laser therapy.
Collapse
|
34
|
Wahl RL, Chareonthaitawee P, Clarke B, Drzezga A, Lindenberg L, Rahmim A, Thackeray J, Ulaner GA, Weber W, Zukotynski K, Sunderland J. Mars Shot for Nuclear Medicine, Molecular Imaging, and Molecularly Targeted Radiopharmaceutical Therapy. J Nucl Med 2021; 62:6-14. [PMID: 33334911 DOI: 10.2967/jnumed.120.253450] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/23/2020] [Indexed: 02/06/2023] Open
Abstract
The Society of Nuclear Medicine and Molecular Imaging created the Value Initiative in 2017 as a major component of its strategic plan to further demonstrate the value of molecular imaging and molecularly targeted radiopharmaceutical therapy to patients, physicians, payers, and funding agencies. The research and discovery domain, 1 of 5 under the Value Initiative, has a goal of advancing the research and development of diagnostic and therapeutic nuclear medicine. Research and discovery efforts and achievements are essential to ensure a bright future for NM and to translate science to practice. Given the remarkable progress in the field, leaders from the research and discovery domain and society councils identified 5 broad areas of opportunity with potential for substantive growth and clinical impact. This article discusses these 5 growth areas, identifying specific areas of particularly high importance for future study and development. As there was an understanding that goals should be both visionary yet achievable, this effort was called the Mars shot for nuclear medicine.
Collapse
Affiliation(s)
- Richard L Wahl
- Mallinckrodt Institute of Radiology, Washington University St. Louis, Missouri
| | | | - Bonnie Clarke
- Research and Discovery, Society of Nuclear Medicine and Molecular Imaging, Reston, Virginia
| | - Alexander Drzezga
- Department of Nuclear Medicine, University of Cologne, Cologne, Germany, German Center for Neurodegenerative Diseases, Bonn-Cologne, Germany, and Institute of Neuroscience and Medicine, Molecular Organization of the Brain, Forschungszentrum Jülich, Jülich, Germany
| | - Liza Lindenberg
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Arman Rahmim
- Departments of Radiology and Physics, University of British Columbia, Vancouver, British Columbia, Canada; Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada
| | - James Thackeray
- Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany
| | - Gary A Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, and Molecular Imaging and Therapy, Hoag Cancer Center, Newport Beach, California
| | - Wolfgang Weber
- Department of Nuclear Medicine, Technical University Munich, Munich, Germany
| | - Katherine Zukotynski
- Departments of Medicine and Radiology, McMaster University, Hamilton, Ontario, Canada; and
| | - John Sunderland
- Departments of Radiology and Physics, University of Iowa, Iowa City, Iowa
| |
Collapse
|
35
|
De Vito A, Mankad K, Pujar S, Chari A, Ippolito D, D’Arco F. Narrative review of epilepsy: getting the most out of your neuroimaging. Transl Pediatr 2021; 10:1078-1099. [PMID: 34012857 PMCID: PMC8107872 DOI: 10.21037/tp-20-261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Neuroimaging represents an important step in the evaluation of pediatric epilepsy. The crucial role of brain imaging in the diagnosis, follow-up and presurgical assessment of patients with epilepsy is noted and has to be familiar to all neuroradiologists and trainees approaching pediatric brain imaging. Morphological qualitative imaging shows the majority of cerebral lesions/alterations underlying focal epilepsy and can highlight some features which are useful in the differential diagnosis of the different types of epilepsy. Recent advances in MRI acquisitions including diffusion-weighted imaging (DWI), post-acquisition image processing techniques, and quantification of imaging data are increasing the accuracy of lesion detection during the last decades. Functional MRI (fMRI) can be really useful and helps to identify cortical eloquent areas that are essential for language, motor function, and memory, and diffusion tensor imaging (DTI) can reveal white matter tracts that are vital for these functions, thus reducing the risk of epilepsy surgery causing new morbidities. Also positron emission tomography (PET), single photon emission computed tomography (SPECT), simultaneous electroencephalogram (EEG) and fMRI, and electrical and magnetic source imaging can be used to assess the exact localization of epileptic foci and help in the design of intracranial EEG recording strategies. The main role of these "hybrid" techniques is to obtain quantitative and qualitative informations, a necessary step to evaluate and demonstrate the complex relationship between abnormal structural and functional data and to manage a "patient-tailored" surgical approach in epileptic patients.
Collapse
Affiliation(s)
- Andrea De Vito
- Department of Neuroradiology, H. S. Gerardo Monza, Monza, Italy
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital, London, UK
| | - Suresh Pujar
- Department of Neurology, Great Ormond Street Hospital for Children, London, UK
| | - Aswin Chari
- Department of Neurosurgery, Great Ormond Street Hospital, London, UK
| | | | - Felice D’Arco
- Department of Radiology, Great Ormond Street Hospital, London, UK
| |
Collapse
|
36
|
Kojan M, Gajdoš M, Říha P, Doležalová I, Řehák Z, Rektor I. Arterial Spin Labeling is a Useful MRI Method for Presurgical Evaluation in MRI-Negative Focal Epilepsy. Brain Topogr 2021; 34:504-510. [PMID: 33783670 DOI: 10.1007/s10548-021-00833-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 03/16/2021] [Indexed: 12/25/2022]
Abstract
Arterial spin labeling (ASL) is an MRI technique measuring brain perfusion using magnetically labeled blood as a tracer. The clinical utility of ASL for presurgical evaluation in non-lesional epilepsy as compared with the quantitative analysis of interictal [18F] fluorodeoxyglucose PET (FDG-PET) was studied. In 10 patients (4 female; median age 29 years) who underwent a complete presurgical evaluation followed by surgical resection, the presurgical FDG-PET and ASL scans were compared with the resection masks using asymmetry index (AI) maps. The positive predictive value (PPV) and sensitivity (SEN), were calculated from the number of voxels inside the mask (true positive), and outside the mask (false positive). The comparison of the PPVs showed better PPV in 6 patients using ASL and in 2 patients with PET. SEN was better in 4 patients using ASL and in 5 patients with PET. According to the Wilcoxon signed rank test for PPV (p = 0.74) and for SEN (p = 0.43), these methods have similar predictive power. ASL is a useful method for presurgical evaluation in non-lesional epilepsy. The main benefits of ASL over PET are that it avoids radiation exposure for patients, and it offers lower costs, higher availability, and better time efficiency.
Collapse
Affiliation(s)
- Martin Kojan
- Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
- CEITEC - Central European Institute of Technology, Neuroscience Center, Masaryk University, Brno, Czech Republic
| | - Martin Gajdoš
- CEITEC - Central European Institute of Technology, Neuroscience Center, Masaryk University, Brno, Czech Republic
| | - Pavel Říha
- Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
- CEITEC - Central European Institute of Technology, Neuroscience Center, Masaryk University, Brno, Czech Republic
| | - Irena Doležalová
- Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Zdeněk Řehák
- Department of Nuclear Medicine, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Ivan Rektor
- Brno Epilepsy Center, Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic.
- CEITEC - Central European Institute of Technology, Neuroscience Center, Masaryk University, Brno, Czech Republic.
| |
Collapse
|
37
|
Mareček R, Říha P, Bartoňová M, Kojan M, Lamoš M, Gajdoš M, Vojtíšek L, Mikl M, Bartoň M, Doležalová I, Pail M, Strýček O, Pažourková M, Brázdil M, Rektor I. Automated fusion of multimodal imaging data for identifying epileptogenic lesions in patients with inconclusive magnetic resonance imaging. Hum Brain Mapp 2021; 42:2921-2930. [PMID: 33772952 PMCID: PMC8127142 DOI: 10.1002/hbm.25413] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/15/2021] [Accepted: 03/09/2021] [Indexed: 12/13/2022] Open
Abstract
Many methods applied to data acquired by various imaging modalities have been evaluated for their benefit in localizing lesions in magnetic resonance (MR) negative epilepsy patients. No approach has proven to be a stand-alone method with sufficiently high sensitivity and specificity. The presented study addresses the potential benefit of the automated fusion of results of individual methods in presurgical evaluation. We collected electrophysiological, MR, and nuclear imaging data from 137 patients with pharmacoresistant MR-negative/inconclusive focal epilepsy. A subgroup of 32 patients underwent surgical treatment with known postsurgical outcomes and histopathology. We employed a Gaussian mixture model to reveal several classes of gray matter tissue. Classes specific to epileptogenic tissue were identified and validated using the surgery subgroup divided into two disjoint sets. We evaluated the classification accuracy of the proposed method at a voxel-wise level and assessed the effect of individual methods. The training of the classifier resulted in six classes of gray matter tissue. We found a subset of two classes specific to tissue located in resected areas. The average classification accuracy (i.e., the probability of correct classification) was significantly higher than the level of chance in the training group (0.73) and even better in the validation surgery subgroup (0.82). Nuclear imaging, diffusion-weighted imaging, and source localization of interictal epileptic discharges were the strongest methods for classification accuracy. We showed that the automatic fusion of results can identify brain areas that show epileptogenic gray matter tissue features. The method might enhance the presurgical evaluations of MR-negative epilepsy patients.
Collapse
Affiliation(s)
- Radek Mareček
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Pavel Říha
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Michaela Bartoňová
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Medical Faculty, Masaryk University, Brno, Czech Republic
| | - Martin Kojan
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Medical Faculty, Masaryk University, Brno, Czech Republic.,Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Martin Lamoš
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Martin Gajdoš
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Lubomír Vojtíšek
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Michal Mikl
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Marek Bartoň
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Irena Doležalová
- Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Martin Pail
- Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Ondřej Strýček
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Medical Faculty, Masaryk University, Brno, Czech Republic.,Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Marta Pažourková
- Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Milan Brázdil
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| | - Ivan Rektor
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.,Brno Epilepsy Center, First Department of Neurology, St. Anne's University Hospital and Medical Faculty of Masaryk University, Brno, Czech Republic
| |
Collapse
|
38
|
Lin Y, Mo J, Jin H, Cao X, Zhao Y, Wu C, Zhang K, Hu W, Lin Z. Automatic analysis of integrated magnetic resonance and positron emission tomography images improves the accuracy of detection of focal cortical dysplasia type IIb lesions. Eur J Neurosci 2021; 53:3231-3241. [PMID: 33720464 DOI: 10.1111/ejn.15185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Revised: 03/10/2021] [Accepted: 03/10/2021] [Indexed: 11/28/2022]
Abstract
We aimed to develop an efficient and objective pre-evaluation method to identify the precise location of a focal cortical dysplasia lesion before surgical resection to reduce medication use and decrease the post-operative frequency of seizure attacks. We developed a novel machine learning-based approach using cortical surface-based features by integrating MRI and metabolic PET to identify focal cortical dysplasia lesions. Significant surface-based features of 22 patients with histopathologically proven FCD IIb lesions were extracted from PET and MRI images using FreeSurfer. We modified significant parameters, trained and tested the XGBoost model using these surface-based features, and made predictions. We detected lesions in all 20 patients using the XGBoost model, with an accuracy of 91%. We used one-way chi-squared test to test the null hypothesis that the population proportion was 50% (p = 0.0001), indicating that our classification of the algorithm was statistically significant. The sensitivity, specificity, and false-positive rates were 93%, 91%, and 9%, respectively. We developed an objective, quantitative XGBoost classifier that combined MRI and PET imaging features to locate focal cortical dysplasia. This automated method yielded better outcomes than conventional visual analysis and single modality quantitative analysis for surgical pre-evaluation, especially in subtle or visually unidentifiable FCD lesions. This time-efficient method would also help doctors identify otherwise overlooked details.
Collapse
Affiliation(s)
- Yaoyun Lin
- Department of Imaging and Nuclear Medicine, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jiajie Mo
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Huiwen Jin
- Department of Health Screening Center, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xueliang Cao
- Department of Clinical Laboratory, Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yang Zhao
- Department of Operating room, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Changjun Wu
- Department of Imaging and Nuclear Medicine, First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Kai Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wenhan Hu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhiguo Lin
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, China
| |
Collapse
|
39
|
Use of Innovative SPECT Techniques in the Presurgical Evaluation of Patients with Nonlesional Extratemporal Drug-Resistant Epilepsy. Mol Imaging 2021; 2021:6614356. [PMID: 33746629 PMCID: PMC7953581 DOI: 10.1155/2021/6614356] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 02/04/2021] [Accepted: 02/18/2021] [Indexed: 12/27/2022] Open
Abstract
Up to 30% of patients with epilepsy may not respond to antiepileptic drugs. Patients with drug-resistant epilepsy (DRE) should undergo evaluation for seizure onset zone (SOZ) localization to consider surgical treatment. Cases of drug-resistant nonlesional extratemporal lobe epilepsy (ETLE) pose the biggest challenge in localizing the SOZ and require multiple noninvasive diagnostic investigations before planning the intracranial monitoring (ICM) or direct resection. Ictal Single Photon Emission Computed Tomography (i-SPECT) is a unique functional diagnostic tool that assesses the SOZ using the localized hyperperfusion that occurs early in the seizure. Subtraction ictal SPECT coregistered to MRI (SISCOM), statistical ictal SPECT coregistered to MRI (STATISCOM), and PET interictal subtracted ictal SPECT coregistered with MRI (PISCOM) are innovative SPECT methods for the determination of the SOZ. This article comprehensively reviews SPECT and sheds light on its vital role in the presurgical evaluation of the nonlesional extratemporal DRE.
Collapse
|
40
|
Peedicail JS, Singh S, Molnar CP, Numerow LM, Gnanakumar R, Josephson CB, Scott J, Federico P, Wiebe S, Pillay N. Impact of ictal subtraction SPECT and PET in presurgical evaluation. Acta Neurol Scand 2021; 143:271-280. [PMID: 33058173 DOI: 10.1111/ane.13362] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 09/17/2020] [Accepted: 10/09/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To assess the relative contribution of ictal subtraction single-photon emission computed tomography (ISSPECT) and 18 F-fluorodeoxyglucose positron emission tomography computed tomography (PET) in epilepsy surgery decision making. MATERIALS AND METHODS A retrospective 3-year study of consecutive patients with resistant focal epilepsy who underwent ISSPECT and PET to evaluate to what extent these modalities influence decisions in epilepsy surgery and outcomes. ISSPECT imaging was performed in 106 patients and 58 (55%) had PET also. The clinical consensus (ClinC) was the final arbiter for decisions. Post-surgical outcomes were collected from follow-up clinics. Non-parametric statistics were used to assess association and logistic regression to evaluate prediction of outcomes. RESULTS Of 106 patients, 60 were males (57%). MRI was non-lesional in 46 (43%). Concordance with ClinC was seen in 80 patients (76%) for ISSPECT, in 46 patients (79%) for PET, and in 37 patients (64%) for ISSPECT + PET. Fifty-six patients (53%) were planned for intracranial video-electroencephalography monitoring (IVEM). Those with ClinC-PET concordance were likely to proceed to IVEM (p = 0.02). ClinC-PET concordance and ClinC-ISSPECT concordance did not predict decision to proceed to surgery, but VEM-MRI concordance did in lesional cases (p = 0.018). Forty-five (42%) underwent surgery of which 29 had minimum follow-up for 1 year (mean, 20 months; SD, 8) and 22 (76%) had Engel class I outcomes. ClinC-ISSPECT concordance (p = 0.024) and VEM-MRI concordance (p = 0.016) predicted Engel class I outcomes. CONCLUSION Those with ClinC-PET concordance were more likely to proceed with IVEM. ClinC-ISSPECT concordance and VEM-MRI concordance predicted good surgical outcomes.
Collapse
Affiliation(s)
- Joseph Samuel Peedicail
- Comprehensive Epilepsy Program Department of Clinical Neurosciences Cumming School of Medicine University of Calgary Calgary AB Canada
| | - Shaily Singh
- Comprehensive Epilepsy Program Department of Clinical Neurosciences Cumming School of Medicine University of Calgary Calgary AB Canada
| | - Christine P. Molnar
- Department of Radiology Cumming School of Medicine University of Calgary Calgary AB Canada
| | - Leonard M. Numerow
- Department of Radiology Cumming School of Medicine University of Calgary Calgary AB Canada
| | - Ruban Gnanakumar
- Department of Radiology Cumming School of Medicine University of Calgary Calgary AB Canada
| | - Colin B. Josephson
- Comprehensive Epilepsy Program Department of Clinical Neurosciences Cumming School of Medicine University of Calgary Calgary AB Canada
- Hotchkiss Brain Institute University of Calgary AB Canada
| | - James Scott
- Department of Radiology Cumming School of Medicine University of Calgary Calgary AB Canada
| | - Paolo Federico
- Comprehensive Epilepsy Program Department of Clinical Neurosciences Cumming School of Medicine University of Calgary Calgary AB Canada
- Department of Radiology Cumming School of Medicine University of Calgary Calgary AB Canada
- Hotchkiss Brain Institute University of Calgary AB Canada
| | - Samuel Wiebe
- Comprehensive Epilepsy Program Department of Clinical Neurosciences Cumming School of Medicine University of Calgary Calgary AB Canada
- Hotchkiss Brain Institute University of Calgary AB Canada
| | - Neelan Pillay
- Comprehensive Epilepsy Program Department of Clinical Neurosciences Cumming School of Medicine University of Calgary Calgary AB Canada
| | | |
Collapse
|
41
|
Quantitative [18]FDG PET asymmetry features predict long-term seizure recurrence in refractory epilepsy. Epilepsy Behav 2021; 116:107714. [PMID: 33485794 PMCID: PMC8344068 DOI: 10.1016/j.yebeh.2020.107714] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/02/2020] [Accepted: 12/12/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Fluorodeoxyglucose-positron emission tomography (FDG-PET) is an established, independent, strong predictor of surgical outcome in refractory epilepsy. In this study, we explored the added value of quantitative [18F]FDG-PET features combined with clinical variables, including electroencephalography (EEG), [18F]FDG-PET, and magnetic resonance imaging (MRI) qualitative interpretations, to predict long-term seizure recurrence (mean post-op follow-up of 5.85 ± 3.77 years). METHODS Machine learning predictive models of surgical outcome were created using a random forest classifier trained on quantitative features in 89 patients with drug-refractory temporal lobe epilepsy evaluated at the Hospital of the University of Pennsylvania epilepsy surgery program (2003-2016). Quantitative features were calculated from asymmetry features derived from image processing using Advanced Normalization Tools (ANTs). RESULTS The best-performing model used quantification and had an out-of-bag accuracy of 0.71 in identifying patients with seizure recurrence (Engel IB or worse) which outperformed that using qualitative clinical data by 10%. This model is shared through open-source software for research use. In addition, several asymmetry features in temporal and extratemporal regions that were significantly associated with seizure freedom are identified for future study. SIGNIFICANCE Complex quantitative [18F]FDG-PET imaging features can predict seizure recurrence in patients with refractory temporal lobe epilepsy. These initial retrospective results in a cohort with long-term follow-up suggest that using quantitative imaging features from regions in the epileptogenic network can inform the clinical decision-making process.
Collapse
|
42
|
Assessment of localization accuracy and postsurgical prediction of simultaneous 18F-FDG PET/MRI in refractory epilepsy patients. Eur Radiol 2021; 31:6974-6982. [PMID: 33638688 DOI: 10.1007/s00330-021-07738-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 12/16/2020] [Accepted: 02/02/2021] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To evaluate the accuracies of simultaneous 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging ([18F]-FDG PET/MRI) in preoperative localization and the postsurgical prediction. METHODS This retrospective study was performed on ninety-eight patients diagnosed with refractory epilepsy whose presurgical evaluation included [18F]-FDG PET/MRI, with 1-year post-surgery follow-up between August 2016 and December 2018. PET/MRI images were interpreted by two radiologists and a nuclear medicine physician to localize the EOZ using standard visual analysis and asymmetry index based on standard uptake value (SUV). The localization accuracy and predictive performance of simultaneous 18F-FDG PET/MRI based on the surgial pathology and postsurgical outcome were evaluated. RESULTS A total of 41.8% (41/98) patients were found to have a definitely structural abnormality on the MR portion of PET/MRI; 93.9% (92/98) were shown hypometabolism on the PET portion of the hybrid PET/MRI. PET/MRI identified 18 cases with subtle structural abnormalities on MRI re-read. Six percent (6/98) of patients PET/MRI were negative. A total of 65.3% (64/98) patients showed seizure-free at 1-year follow-up after epilepsy surgery. The sensitivity, specificity, and accuracy of [18F]-FDG PET/MRI was 95.3%, 8.8%, and 65.3% for seizure onset localization based on surgical pathology and postsurgical outcome, respectively. Multivariate regression analysis indicated that concordant of EOZ localization between PET/MRI and surgical resection range, which was a good positive predictor of seizure freedom (Engel I) (OR = 14.741, 95% CI 3.934-55.033, p < 0.001). CONCLUSIONS [18F]-FDG PET/MRI used as two combined modalities providing additional sensitivity when detecting possible epileptic foci and will probably improve the surgical outcome. KEY POINTS • Sensitivity, specificity, and accuracy of [18F]-FDG PET/MRI were 95.3%, 8.8%, and 65.3% for seizure onset localization based on surgical pathology and postsurgical outcome, respectively. • Concordance of EOZ localization between PET/MRI and surgical resection range was a good positive predictor of seizure freedom; presurgical [18F]-FDG PET/MRI will probably improve the surgical outcome.
Collapse
|
43
|
18 F-FDG-PET hypometabolic pattern reveals multifocal epileptic foci despite limited unique stereotyped seizures. Epilepsy Res 2021; 172:106589. [PMID: 33640665 DOI: 10.1016/j.eplepsyres.2021.106589] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 01/29/2021] [Accepted: 02/16/2021] [Indexed: 02/03/2023]
Abstract
PURPOSE Interictal positron emission tomography (PET) with 18F-FDG has largely proved its utility in presurgical evaluation of drug-resistant epilepsies (DRE) and in the surgical outcomes. Interictal hypometabolism topography is related to the neuronal networks involved in the seizure onset zone (SOZ) and spread pathways. 18F-FDG PET has a good prognostic value for post-surgical outcome, especially in cases with unique focal ictal semiology and a limited extent of hypometabolism. Surprisingly few patients have similar limited ictal features but extended hypometabolism. The objective of this study is to show that stereoelectro encephalography (SEEG) provides an explanation for this large hypometabolism, which impacts the surgical strategy. METHODS A cohort of 248 patients underwent 18F-FDG PET and SEEG to explore for refractory epilepsy in two close tertiary epilepsy centers between January 2009 and December 2017. From this cohort, a subset of patients was selected with extended PET metabolism despite showing unique and limited ictal features in scalp EEG. The surgical outcome of this subset of patients has been analysed with respect to their FDG-PET and SEEG to understand the relationship between PET/SEEG/ presentation and surgical outcome. RESULTS We report a series of seven patients with DRE and unique stereotyped ictal semiology but extensive 18F-FDG-PET hypometabolism revealing unexpected multifocal SOZ using SEEG. All SOZ were encompassed by the hypometabolic area. CONCLUSION Our results demonstrate the necessity of accounting for the discrepancy between limited symptoms and widespread hypometabolism which can reveal multifocal SOZ. In those patients, surgical possibilities should be considered carefully.
Collapse
|
44
|
Abstract
OBJECTIVE. The purpose of this article is to summarize the role of molecular imaging of the brain by use of SPECT, FDG PET, and non-FDG PET radiotracers in epilepsy. CONCLUSION. Quantitative image analysis with PET and SPECT has increased the diagnostic utility of these modalities in localizing epileptogenic onset zones. A multi-modal platform approach integrating the functional imaging of PET and SPECT with the morphologic information from MRI in presurgical evaluation of epilepsy can greatly improve outcomes.
Collapse
|
45
|
Zhang Y, Dou W, Zuo Z, You H, Lv Y, Hou B, Shi L, Feng F. Brain volume and perfusion asymmetry in temporal lobe epilepsy with and without hippocampal sclerosis. Neurol Res 2020; 43:299-306. [PMID: 33320070 DOI: 10.1080/01616412.2020.1853988] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objectives: To detect and compare the features of interictal perfusion and volume asymmetry between temporal lobe epilepsy (TLE) patients with and without hippocampal sclerosis (HS).Methods: Sixty-one TLE patients (mean age 28.4 ± 9.3 years; 28 female/33 male) with unilateral signs of HS (TLE-HS+) and 25 TLE patients (mean age 29.8 ± 8.0 years; 17 female/8 male) without HS (TLE-HS-) were included. Thirty healthy volunteers served as controls (mean age 26.0 ± 8.7 years; 22 female/8 male). Brain segmentation and volume calculation were performed. Quantitative cerebral blood flow (CBF) values were measured based on arterial spin labeling (ASL). The asymmetry indices (AIs) of volume and perfusion were calculated.Results: TLE-HS+ (adjusted P = 0.001) and TLE-HS- patients (adjusted P = 0.006) had significantly higher hippocampal perfusion AIs than controls. TLE-HS+ and TLE-HS- had similar hippocampal perfusion AIs (adjusted P = 1.00). TLE-HS+ had higher hippocampal volume AIs than TLE-HS- and controls (adjusted P < 0.001). TLE-HS- and controls had similar hippocampal volume AIs (adjusted P = 1.00). All (100%) TLE-HS+ patients had positive hippocampal perfusion or volume AIs. No significant correlation between the AIs of hippocampal perfusion and volume was found in both TLE-HS+(P = 0.894) and TLE-HS- (P = 0.106) patients. TLE-HS+ patients demonstrated more extensive whole-brain asymmetry of both perfusion and volume than TLE-HS- patients.Conclusion: TLE-HS+ and TLE-HS- patients have different patterns of whole-brain perfusion and volume asymmetry. Hippocampal perfusion asymmetry was revealed in both TLE-HS+ and TLE-HS- patients.
Collapse
Affiliation(s)
- Yiwei Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wanchen Dou
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhentao Zuo
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Hui You
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuelei Lv
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Hou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Shi
- Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China.,BrainNow Medical Technology Limited, Hong Kong Science and Technology Park, Hong Kong, China
| | - Feng Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
46
|
Fei Y, Shi R, Song Z, Wu J. Metabolic Control of Epilepsy: A Promising Therapeutic Target for Epilepsy. Front Neurol 2020; 11:592514. [PMID: 33363507 PMCID: PMC7753014 DOI: 10.3389/fneur.2020.592514] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Accepted: 11/20/2020] [Indexed: 12/16/2022] Open
Abstract
Epilepsy is a common neurological disease that is not always controlled, and the ketogenic diet shows good antiepileptic effects drug-resistant epilepsy or seizures caused by specific metabolic defects via regulating the metabolism. The brain is a vital organ with high metabolic demands, and epileptic foci tend to exhibit high metabolic characteristics. Accordingly, there has been growing interest in the relationship between brain metabolism and epilepsy in recent years. To date, several new antiepileptic therapies targeting metabolic pathways have been proposed (i.e., inhibiting glycolysis, targeting lactate dehydrogenase, and dietary therapy). Promising strategies to treat epilepsy via modulating the brain's metabolism could be expected, while a lack of thorough understanding of the role of brain metabolism in the control of epilepsy remains. Herein, this review aims to provide insight into the state of the art concerning the brain's metabolic patterns and their association with epilepsy. Regulation of neuronal excitation via metabolic pathways and antiepileptic therapies targeting metabolic pathways are emphasized, which could provide a better understanding of the role of metabolism in epilepsy and could reveal potential therapeutic targets.
Collapse
Affiliation(s)
- Yanqing Fei
- Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ruting Shi
- Department of Rehabilitation, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhi Song
- Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jinze Wu
- Department of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
47
|
Guo K, Wei Y, Yuan M, Wei L, Lu J. Identifying the characteristics of brain glucose metabolism using normal 18F-FDG PET database in patients with temporal lobe epilepsy. Neurol Sci 2020; 41:3219-3226. [PMID: 32372198 DOI: 10.1007/s10072-020-04426-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2019] [Accepted: 04/13/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVES This study aimed to measure the global brain glucose metabolism of patients with temporal lobe epilepsy (TLE) using MIMneuro software based on the normal brain glucose metabolism database. METHODS In this cross-sectional study, 23 patients (11 males and 12 females, mean age 25.6 ± 10.1 years) with TLE who underwent 18F-labeled fluoro-2-deoxyglucose positron emission tomography (18F-FDG PET) were enrolled. 18F-FDG PET images were then imported into MIMneuro software, which can automatically analyze the differences in regional brain glucose metabolism between patients and a normal database, and the results of different brain regions were presented by values of Z-score. RESULTS In patients with TLE, 18F-FDG PET imaging showed that in addition to the presence of temporal lobe hypometabolism, there was hypometabolism in the ipsilateral hippocampus, parahippocampal gyrus, insula, amygdala, temporal operculum, and bilateral cerebellar hemisphere, while hypermetabolism was found in the contralateral temporal lobe, frontal lobe, parietal lobe, parietal lobule, angular gyrus, and precentral gyrus. There was no significant difference in brain areas between the left and the right temporal lobe seizures (P > 0.05). CONCLUSIONS We found that TLE has a specific characteristic in terms of brain glucose metabolism, and the underlying mechanism needs to be further studied that may be helpful to localize seizure focus.
Collapse
Affiliation(s)
- Kun Guo
- Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yixin Wei
- Department of Nuclear Medicine, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China
| | - Menghui Yuan
- Department of Nuclear Medicine, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China.
| | - Longxiao Wei
- Department of Nuclear Medicine, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shanxi, China.
| | - Jie Lu
- Department of Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China. .,Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China. .,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China.
| |
Collapse
|
48
|
Suzuki M, Jin K, Kitazawa Y, Fujikawa M, Kakisaka Y, Sato S, Mugikura S, Nakasato N. Diagnostic yield of seizure recordings and neuroimaging in patients with focal epilepsy without interictal epileptiform discharges. Epilepsy Behav 2020; 112:107468. [PMID: 33181891 DOI: 10.1016/j.yebeh.2020.107468] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 08/31/2020] [Accepted: 08/31/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Repeated routine electroencephalography (EEG) or even long-term video-EEG monitoring (VEM) does not always record interictal epileptiform discharges (IEDs) in some patients with epilepsy. The present study investigated whether focal seizures detected by VEM and focal abnormalities on neuroimaging are useful for the diagnosis of patients with focal epilepsy without IEDs. METHODS We retrospectively reviewed 409 consecutive patients with focal epilepsy (207 men, aged 9 to 76 years) who underwent 4- or 5-day VEM, magnetic resonance imaging (MRI), and fluorine-18-fluorodeoxyglucose positron emission tomography (FDG-PET) for diagnosis to identify patients without IEDs. The occurrence of focal seizures during VEM and the presence of focal abnormalities on neuroimaging were investigated in those patients. The occurrence rate of seizures during VEM was investigated in patients with daily, weekly, monthly, and yearly seizure frequency based on history-taking. RESULTS Ninety-five (23.2%) of 409 patients with focal epilepsy did not have IEDs. Fifty-five (57.9%) of the 95 patients had focal seizures during VEM. Fifty-four patients (56.8%) showed focal abnormalities compatible with seizure semiology on neuroimaging investigations. Neither seizure recordings nor neuroimaging abnormalities were seen in 16 (16.8%) of the 95 patients. The occurrence rate of seizures during VEM depended on the seizure frequency at history-taking. However, 28 (45.9%) of 61 patients with monthly and yearly seizure frequency had focal seizures during 4- or 5-day VEM with seizure induction. CONCLUSIONS Video-EEG monitoring can detect focal seizures in patients with focal epilepsy but no IEDs. Comprehensive assessment including VEM and neuroimaging study is important for the diagnosis.
Collapse
Affiliation(s)
- Minori Suzuki
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Kazutaka Jin
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
| | - Yu Kitazawa
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan; Department of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Yokohama, Kanagawa, Japan
| | - Mayu Fujikawa
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Yosuke Kakisaka
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shiho Sato
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Shunji Mugikura
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Nobukazu Nakasato
- Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| |
Collapse
|
49
|
Akdemir ÜÖ, Çapraz I, Gülbahar Ateş S, Şeker K, Aydos U, Kurt G, Karabacak N, Atay LÖ, Bilir E. Evaluation of brain FDG PET images in temporal lobe epilepsy for lateralization of epileptogenic focus using data mining methods. Turk J Med Sci 2020; 50:738-748. [PMID: 32151114 PMCID: PMC7379449 DOI: 10.3906/sag-1911-71] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 03/05/2020] [Indexed: 11/03/2022] Open
Abstract
Background/aim In temporal lobe epilepsy (TLE), brain positron emission tomography (PET) performed with F-18 fluorodeoxyglucose (FDG) is commonly used for lateralization of the epileptogenic temporal lobe. In this study, we aimed to evaluate the success of quantitative analysis of brain FDG PET images using data mining methods in the lateralization of the epileptogenic temporal lobe. Materials and methods Presurgical interictal brain FDG PET images of 49 adult mesial TLE patients with a minimum of 2 years of postsurgical follow-up and Engel I outcomes were retrospectively analyzed. Asymmetry indices were calculated from PET images from the mesial temporal lobe and its contiguous structures. The J48 and the logistic model tree (LMT) data mining algorithms were used to find classification rules for the lateralization of the epileptogenic temporal lobe. The classification results obtained by these rules were compared with the physicians’ visual readings and the findings of single-patient statistical parametric mapping (SPM) analyses in a test set of 18 patients. An additional 5-fold cross-validation was applied to the data to overcome the limitation of a relatively small sample size. Results In the lateralization of 18 patients in the test set, J48 and LMT methods were successful in 16 (89%) and 17 (94%) patients, respectively. The visual consensus readings were correct in all patients and SPM results were correct in 16 patients. The 5-fold cross- validation method resulted in a mean correct lateralization ratio of 96% (47/49) for the LMT algorithm. This ratio was 88% (43 / 49) for the J48 algorithm. Conclusion Lateralization of the epileptogenic temporal lobe with data mining methods using regional metabolic asymmetry values obtained from interictal brain FDG PET images in mesial TLE patients is highly accurate. The application of data mining can contribute to the reader in the process of visual evaluation of FDG PET images of the brain.
Collapse
Affiliation(s)
- Ümit Özgür Akdemir
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Irem Çapraz
- Department of Neurology, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Seda Gülbahar Ateş
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Kerim Şeker
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Uğuray Aydos
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Gökhan Kurt
- Department of Neurosurgery, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Neşe Karabacak
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Lütfiye Özlem Atay
- Department of Nuclear Medicine, Faculty of Medicine, Gazi University, Ankara, Turkey
| | - Erhan Bilir
- Department of Neurology, Faculty of Medicine, Gazi University, Ankara, Turkey
| |
Collapse
|
50
|
Rossi Sebastiano D, Tassi L, Duran D, Visani E, Gozzo F, Cardinale F, Nobili L, Del Sole A, Rubino A, Dotta S, Schiaffi E, Garbelli R, Franceschetti S, Spreafico R, Panzica F. Identifying the epileptogenic zone by four non-invasive imaging techniques versus stereo-EEG in MRI-negative pre-surgery epilepsy patients. Clin Neurophysiol 2020; 131:1815-1823. [PMID: 32544836 DOI: 10.1016/j.clinph.2020.05.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 05/22/2020] [Accepted: 05/22/2020] [Indexed: 12/01/2022]
Abstract
OBJECTIVE We evaluated four imaging techniques, i.e. Electroencephalography (EEG)-functional Magnetic Resonance Imaging (MRI) (EEG-fMRI), High-resolution EEG (HR-EEG), Magnetoencephalography (MEG) and 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (PET), for the identification of the epileptogenic zone (EZ) in 41 patients with negative MRI, candidate to neurosurgery. METHODS For each technique, results were compared to the Stereo-EEG. Diagnostic measures were calculated with respect to the post-surgical outcome, either for all the patients (39/41, two patients excluded) and for the subgroup of patients with the EZ involving more than one lobe (20/41). RESULTS When considered individually, each functional technique showed accuracy values ranging 54,6%-63,2%, having PET, MEG and HR-EEG higher sensitivity, and EEG-fMRI higher specificity. In patients with multilobar epileptogenic zone, functional techniques achieved the best accuracies (up to 80%) when three techniques, including EEG-fMRI, were considered together. CONCLUSIONS The study highlights the accuracy of a combination of functional imaging techniques in the identification of EZ in MRI negative focal epilepsy. The best diagnostic yield was obtained if the combination of PET, MEG (or HR-EEG as alternative), EEG-fMRI were considered together. SIGNIFICANCE The functional imaging techniques may improve the presurgical workup of MRI negative focal epilepsy, if epileptogenic zone involves more than one lobe.
Collapse
Affiliation(s)
| | - Laura Tassi
- "Claudio Munari" Epilepsy Surgery Centre, Niguarda Hospital, Milan, Italy
| | - Dunja Duran
- Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Elisa Visani
- Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Francesca Gozzo
- "Claudio Munari" Epilepsy Surgery Centre, Niguarda Hospital, Milan, Italy
| | | | - Lino Nobili
- DINOGMI, University of Genoa, and Child Neuropsychiatry Unit, IRCCS Istituto G. Gaslini, Genoa, Italy
| | - Angelo Del Sole
- Department of Health Sciences, University of Milan and ASST Santi Paolo e Carlo, Milan, Italy
| | - Annalisa Rubino
- "Claudio Munari" Epilepsy Surgery Centre, Niguarda Hospital, Milan, Italy
| | - Sara Dotta
- Neurophysiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Elena Schiaffi
- Neurophysiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Rita Garbelli
- Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | | | - Roberto Spreafico
- Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Ferruccio Panzica
- Epilepsy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| |
Collapse
|