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Macdonald-Laurs E, Warren AEL, Francis P, Mandelstam SA, Lee WS, Coleman M, Stephenson SEM, Barton S, D'Arcy C, Lockhart PJ, Leventer RJ, Harvey AS. The clinical, imaging, pathological and genetic landscape of bottom-of-sulcus dysplasia. Brain 2024; 147:1264-1277. [PMID: 37939785 DOI: 10.1093/brain/awad379] [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: 06/30/2023] [Revised: 09/20/2023] [Accepted: 10/22/2023] [Indexed: 11/10/2023] Open
Abstract
Bottom-of-sulcus dysplasia (BOSD) is increasingly recognized as a cause of drug-resistant, surgically-remediable, focal epilepsy, often in seemingly MRI-negative patients. We describe the clinical manifestations, morphological features, localization patterns and genetics of BOSD, with the aims of improving management and understanding pathogenesis. We studied 85 patients with BOSD diagnosed between 2005-2022. Presenting seizure and EEG characteristics, clinical course, genetic findings and treatment response were obtained from medical records. MRI (3 T) and 18F-FDG-PET scans were reviewed systematically for BOSD morphology and metabolism. Histopathological analysis and tissue genetic testing were performed in 64 operated patients. BOSD locations were transposed to common imaging space to study anatomical location, functional network localization and relationship to normal MTOR gene expression. All patients presented with stereotyped focal seizures with rapidly escalating frequency, prompting hospitalization in 48%. Despite 42% patients having seizure remissions, usually with sodium channel blocking medications, most eventually became drug-resistant and underwent surgery (86% seizure-free). Prior developmental delay was uncommon but intellectual, language and executive dysfunction were present in 24%, 48% and 29% when assessed preoperatively, low intellect being associated with greater epilepsy duration. BOSDs were missed on initial MRI in 68%, being ultimately recognized following repeat MRI, 18F-FDG-PET or image postprocessing. MRI features were grey-white junction blurring (100%), cortical thickening (91%), transmantle band (62%), increased cortical T1 signal (46%) and increased subcortical FLAIR signal (26%). BOSD hypometabolism was present on 18F-FDG-PET in 99%. Additional areas of cortical malformation or grey matter heterotopia were present in eight patients. BOSDs predominated in frontal and pericentral cortex and related functional networks, mostly sparing temporal and occipital cortex, and limbic and visual networks. Genetic testing yielded pathogenic mTOR pathway variants in 63% patients, including somatic MTOR variants in 47% operated patients and germline DEPDC5 or NPRL3 variants in 73% patients with familial focal epilepsy. BOSDs tended to occur in regions where the healthy brain normally shows lower MTOR expression, suggesting these regions may be more vulnerable to upregulation of MTOR activity. Consistent with the existing literature, these results highlight (i) clinical features raising suspicion of BOSD; (ii) the role of somatic and germline mTOR pathway variants in patients with sporadic and familial focal epilepsy associated with BOSD; and (iii) the role of 18F-FDG-PET alongside high-field MRI in detecting subtle BOSD. The anatomical and functional distribution of BOSDs likely explain their seizure, EEG and cognitive manifestations and may relate to relative MTOR expression.
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Affiliation(s)
- Emma Macdonald-Laurs
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria 3052Australia
- Department of Neuroscience, Murdoch Children's Research Institute, Parkville 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
| | - Aaron E L Warren
- Department of Neuroscience, Murdoch Children's Research Institute, Parkville 3052, Australia
- Department of Medicine (Austin Health), The University of Melbourne, Heidelberg 3084, Australia
| | - Peter Francis
- Department of Medical Imaging, The Royal Children's Hospital, Parkville 3052, Australia
| | - Simone A Mandelstam
- Department of Neuroscience, Murdoch Children's Research Institute, Parkville 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
- Department of Medical Imaging, The Royal Children's Hospital, Parkville 3052, Australia
| | - Wei Shern Lee
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
- Department of Genomic Medicine, Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville 3052, Australia
| | - Matthew Coleman
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
- Department of Genomic Medicine, Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville 3052, Australia
| | - Sarah E M Stephenson
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
- Department of Genomic Medicine, Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville 3052, Australia
| | - Sarah Barton
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria 3052Australia
- Department of Neuroscience, Murdoch Children's Research Institute, Parkville 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
| | - Colleen D'Arcy
- Department of Pathology, The Royal Children's Hospital, Parkville 3052, Australia
| | - Paul J Lockhart
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
- Department of Genomic Medicine, Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville 3052, Australia
| | - Richard J Leventer
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria 3052Australia
- Department of Neuroscience, Murdoch Children's Research Institute, Parkville 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
| | - A Simon Harvey
- Department of Neurology, The Royal Children's Hospital, Parkville, Victoria 3052Australia
- Department of Neuroscience, Murdoch Children's Research Institute, Parkville 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville 3052, Australia
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Millevert C, Vidas-Guscic N, Vanherp L, Jonckers E, Verhoye M, Staelens S, Bertoglio D, Weckhuysen S. Resting-State Functional MRI and PET Imaging as Noninvasive Tools to Study (Ab)Normal Neurodevelopment in Humans and Rodents. J Neurosci 2023; 43:8275-8293. [PMID: 38073598 PMCID: PMC10711730 DOI: 10.1523/jneurosci.1043-23.2023] [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: 09/18/2023] [Revised: 06/09/2023] [Accepted: 09/13/2023] [Indexed: 12/18/2023] Open
Abstract
Neurodevelopmental disorders (NDDs) are a group of complex neurologic and psychiatric disorders. Functional and molecular imaging techniques, such as resting-state functional magnetic resonance imaging (rs-fMRI) and positron emission tomography (PET), can be used to measure network activity noninvasively and longitudinally during maturation in both humans and rodent models. Here, we review the current knowledge on rs-fMRI and PET biomarkers in the study of normal and abnormal neurodevelopment, including intellectual disability (ID; with/without epilepsy), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD), in humans and rodent models from birth until adulthood, and evaluate the cross-species translational value of the imaging biomarkers. To date, only a few isolated studies have used rs-fMRI or PET to study (abnormal) neurodevelopment in rodents during infancy, the critical period of neurodevelopment. Further work to explore the feasibility of performing functional imaging studies in infant rodent models is essential, as rs-fMRI and PET imaging in transgenic rodent models of NDDs are powerful techniques for studying disease pathogenesis, developing noninvasive preclinical imaging biomarkers of neurodevelopmental dysfunction, and evaluating treatment-response in disease-specific models.
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Affiliation(s)
- Charissa Millevert
- Applied & Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp 2610, Belgium
- Department of Neurology, University Hospital of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Nicholas Vidas-Guscic
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Liesbeth Vanherp
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Elisabeth Jonckers
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Marleen Verhoye
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Steven Staelens
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Daniele Bertoglio
- Bio-Imaging Lab, University of Antwerp, Antwerp 2610, Belgium
- Molecular Imaging Center Antwerp (MICA), University of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
| | - Sarah Weckhuysen
- Applied & Translational Neurogenomics Group, Vlaams Instituut voor Biotechnology (VIB) Center for Molecular Neurology, VIB, Antwerp 2610, Belgium
- Department of Neurology, University Hospital of Antwerp, Antwerp 2610, Belgium
- µNEURO Research Centre of Excellence, University of Antwerp, Antwerp 2610, Belgium
- Translational Neurosciences, Faculty of Medicine and Health Science, University of Antwerp, Antwerp 2610, Belgium
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Cruz-Cortes Á, Avendaño-Estrada A, Alcauter S, Núñez-Enríquez JC, Rivera-Bravo B, Olarte-Casas MÁ, Ávila-Rodríguez MÁ. Semiquantitative analysis of cerebral [ 18F]FDG-PET uptake in pediatric patients. Pediatr Radiol 2023; 53:2574-2585. [PMID: 37910188 PMCID: PMC10698097 DOI: 10.1007/s00247-023-05794-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 10/11/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Glycolytic metabolism in the brain of pediatric patients, imaged with [18F] fluorodeoxyglucose-positron emission tomography (FDG-PET) is incompletely characterized. OBJECTIVE The purpose of the current study was to characterize [18F]FDG-PET brain uptake in a large sample of pediatric patients with non-central nervous system diseases as an alternative to healthy subjects to evaluate changes at different pediatric ages. MATERIALS AND METHODS Seven hundred ninety-five [18F]FDG-PET examinations from children < 18 years of age without central nervous system diseases were included. Each brain image was spatially normalized, and the standardized uptake value (SUV) was obtained. The SUV and the SUV relative to different pseudo-references were explored as a function of age. RESULTS At all evaluated ages, the occipital lobe showed the highest [18F]FDG uptake (0.27 ± 0.04 SUV/year), while the parietal lobe and brainstem had the lowest uptake (0.17 ± 0.02 SUV/year, for both regions). An increase [18F]FDG uptake was found for all brain regions until 12 years old, while no significant uptake differences were found between ages 13 (SUV = 5.39) to 17 years old (SUV = 5.52) (P < 0.0001 for the whole brain). A sex dependence was found in the SUVmean for the whole brain during adolescence (SUV 5.04-5.25 for males, 5.68-5.74 for females, P = 0.0264). Asymmetries in [18F]FDG uptake were found in the temporal and central regions during infancy. CONCLUSIONS Brain glycolytic metabolism of [18F]FDG, measured through the SUVmean, increased with age until early adolescence (< 13 years old), showing differences across brain regions. Age, sex, and brain region influence [18F]FDG uptake, with significant hemispheric asymmetries for temporal and central regions.
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Affiliation(s)
- Álvaro Cruz-Cortes
- Unidad de Radiofarmacia-Ciclotrón, División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
| | - Arturo Avendaño-Estrada
- Unidad de Radiofarmacia-Ciclotrón, División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico.
| | - Sarael Alcauter
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro City, Mexico
| | - Juan Carlos Núñez-Enríquez
- Unidad de Investigación Médica en Epidemiología Clínica, UMAE Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Ciudad de Mexico, Mexico
| | - Belen Rivera-Bravo
- División de Investigación Facultad de Medicina Universidad Nacional Autónoma de México, Unidad PET/CT, Ciudad de Mexico, Mexico
| | - Miguel Ángel Olarte-Casas
- División de Investigación Facultad de Medicina Universidad Nacional Autónoma de México, Unidad PET/CT, Ciudad de Mexico, Mexico
| | - Miguel Ángel Ávila-Rodríguez
- Unidad de Radiofarmacia-Ciclotrón, División de Investigación, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de Mexico, Mexico
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Agrawal A, Shah S, Gnanasegaran G, Rajkotia S, Purandare N, Puranik A, Rangarajan V. PET/CT Normal Variants and Pitfalls in Pediatric disorders. Semin Nucl Med 2021; 51:572-583. [PMID: 34243902 DOI: 10.1053/j.semnuclmed.2021.06.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
18F- Fluoro-deoxyglucose positron emission computed tomography (18F-FDG PET CT) is an established modality used mainly in oncology. Though it has widespread oncologic indications, it is not tumor specific. Apart from the physiological distribution, uptake of FDG may be seen in many benign conditions, including infection and inflammation in children and adults. Performing and acquiring a technically adequate PET CT study may be more challenging in children. Proper preparation and an acceptable imaging protocol will help to avoid re-acquisition and in minimizing the radiation exposure. Sound knowledge of the physiological variants and benign conditions that are specific to the pediatric population will aid in correct interpretation of the PET CT study. It is important that radiologists and Nuclear Medicine physicians who report these studies are well-acquainted with these pitfalls to avoid false positive studies.
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Affiliation(s)
- Archi Agrawal
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, MH.
| | - Sneha Shah
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, MH
| | | | - Saloni Rajkotia
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, MH
| | - Nilendu Purandare
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, MH
| | - Ameya Puranik
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, MH
| | - Venkatesh Rangarajan
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, MH
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Sager G, Akgun E, Abuqbeitah M, Uslu L, Asa S, Akgun MY, Beytur F, Baydili KN, Sager S. Comparison of brain F-18 FDG PET/MRI with PET/CT imaging in pediatric patients. Clin Neurol Neurosurg 2021; 206:106669. [PMID: 33984753 DOI: 10.1016/j.clineuro.2021.106669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/05/2021] [Accepted: 04/17/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Standardized uptake values (SUVs) are important indexes for evaluating the accuracy of disease diagnoses achieved via fluoro-18 deoxyglucose (F-18 FDG) positron emission tomography/computed tomography (PET/CT) and positron emission tomography/magnetic resonance imaging (PET/MRI). The purpose of this study is to describe normal cerebral FDG uptake in the pediatric population and compare SUVmax/mean results for brain images obtained from PET/CT and PET/MRI in neurologically healthy pediatric examinees. METHODS This study included 20 patients who were < 18 years of age and were without intracranial malignancy and/or brain disorders. Patients underwent either PET/CT imaging (n = 10) or PET/MRI imaging (n = 10) after 70-80 min of F-18 FDG injection. The SUVmax and SUVmean for various brain regions were calculated and compared between sides and imaging modalities using with appropriate statistical tests. RESULTS The median SUVmax/SUVmean values of the right-sided frontal, parietal, temporal, and occipital lobes were 8.63/ 6.18, 8.85 / 6.97, 6.88 / 4.99, and 11.06 / 7.02 in PET/CT, respectively, and 11.45 / 8.59, 10.16 / 8.47, 8.82 / 6.6, and 11.71 / 8.25 in PET/MRI, respectively. The median SUVmax/SUVmean values of the left-sided frontal, parietal, temporal, and occipital lobes were 9.05 / 6.86, 8.03 / 6.62, 6.49 / 4.77, and 10.6 / 7.73 in PET/CT, respectively, and 10.7 / 8.16, 11.06 / 7.88, 8.13 / 6.09, and 10.96 / 9.22 in PET/MRI, respectively. CONCLUSIONS These results showed that there was no statistically significant difference in SUVs values between the two brain imaging modalities except from SUVmax value of left-sided parietal lobe and no asymmetric radiopharmaceutical uptake between the left and right brain regions or cerebellums in each modality, suggested that in brain imaging, PET/MRI can be used reliably instead of PET/CT.
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Affiliation(s)
- Gunes Sager
- Kartal Lutfi Kirdar Training and Research Hospital, Department of Pediatric Neurology, Istanbul, Turkey
| | - Elife Akgun
- Kirikkale Yuksek Ihtisas Hospital, Department of Nuclear Medicine, Kirikkale, Turkey.
| | - Muhammed Abuqbeitah
- Istanbul University-Cerrahpasa, School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey
| | - Lebriz Uslu
- Istanbul University-Cerrahpasa, School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey
| | - Sertac Asa
- Istanbul University-Cerrahpasa, School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey
| | - Mehmet Yigit Akgun
- Kirikkale Yuksek Ihtisas Hospital, Department of Neurosurgery, Kirikkale, Turkey
| | - Fatih Beytur
- Istanbul University-Cerrahpasa, School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey
| | | | - Sait Sager
- Istanbul University-Cerrahpasa, School of Medicine, Department of Nuclear Medicine, Istanbul, Turkey
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