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Chan K, Rabba D, Vidarsson L, Wagner MW, Ertl-Wagner BB, Khademi A. Developmental Curves of the Paediatric Brain Using FLAIR MRI Texture Biomarkers. Can Assoc Radiol J 2024:8465371241262175. [PMID: 39054582 DOI: 10.1177/08465371241262175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2024] Open
Abstract
Purpose: Analysis of FLAIR MRI sequences is gaining momentum in brain maturation studies, and this study aimed to establish normative developmental curves for FLAIR texture biomarkers in the paediatric brain. Methods: A retrospective, single-centre dataset of 465/512 healthy paediatric FLAIR volumes was used, with one pathological volume for proof-of-concept. Participants were included if the MRI was unremarkable as determined by a neuroradiologist. An automated intensity normalization algorithm was used to standardize FLAIR signal intensity across MRI scanners and individuals. FLAIR texture biomarkers were extracted from grey matter (GM), white matter (WM), deep GM, and cortical GM regions. Sex-specific percentile curves were reported and modelled for each tissue type. Correlations between texture and established biomarkers including intensity volume were examined. Biomarkers from the pathological volume were extracted to demonstrate clinical utility of normative curves. Results: This study analyzed 465 FLAIR sequences in children and adolescents (mean age 10.65 ± 4.22 years, range 2-19 years, 220 males, 245 females). In the WM, texture increased to a maximum at around 8 to 10 years, with different trends between females and males in adolescence. In the GM, texture increased over the age range while demonstrating a local maximum at 8 to 10 years. Texture had an inverse relationship with intensity in the WM across all ages. WM and edema in a pathological brain exhibited abnormal texture values outside of the normative growth curves. Conclusion: Normative curves for texture biomarkers in FLAIR sequences may be used to assess brain maturation and microstructural changes over the paediatric age range.
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Affiliation(s)
- Karissa Chan
- Electrical, Computer and Biomedical Engineering Department, Toronto Metropolitan University, Toronto, ON, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, ON, Canada
| | - Dania Rabba
- Electrical, Computer and Biomedical Engineering Department, Toronto Metropolitan University, Toronto, ON, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, ON, Canada
| | - Logi Vidarsson
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Matthias W Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
- Department of Neuroradiology, University Hospital Augsburg, Augsburg, Germany
| | - Birgit B Ertl-Wagner
- Department of Diagnostic Imaging, Division of Neuroradiology, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - April Khademi
- Electrical, Computer and Biomedical Engineering Department, Toronto Metropolitan University, Toronto, ON, Canada
- Institute for Biomedical Engineering, Science Tech (iBEST), a Partnership between St. Michael's Hospital and Toronto Metropolitan University, Toronto, ON, Canada
- Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
- Keenan Research Center for Biomedical Science, St. Michael's Hospital, Unity Health Network, Toronto, ON, Canada
- Vector Institute for Artificial Intelligence, Toronto, ON, Canada
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Friedrich M, Filss CP, Lohmann P, Mottaghy FM, Stoffels G, Weiss Lucas C, Ruge MI, Shah NJ, Caspers S, Langen KJ, Fink GR, Galldiks N, Kocher M. Structural connectome-based predictive modeling of cognitive deficits in treated glioma patients. Neurooncol Adv 2024; 6:vdad151. [PMID: 38196739 PMCID: PMC10776208 DOI: 10.1093/noajnl/vdad151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024] Open
Abstract
Background In glioma patients, tumor growth and subsequent treatments are associated with various types of brain lesions. We hypothesized that cognitive functioning in these patients critically depends on the maintained structural connectivity of multiple brain networks. Methods The study included 121 glioma patients (median age, 52 years; median Eastern Cooperative Oncology Group performance score 1; CNS-WHO Grade 3 or 4) after multimodal therapy. Cognitive performance was assessed by 10 tests in 5 cognitive domains at a median of 14 months after treatment initiation. Hybrid amino acid PET/MRI using the tracer O-(2-[18F]fluoroethyl)-L-tyrosine, a network-based cortical parcellation, and advanced tractography were used to generate whole-brain fiber count-weighted connectivity matrices. The matrices were applied to a cross-validated machine-learning model to identify predictive fiber connections (edges), critical cortical regions (nodes), and the networks underlying cognitive performance. Results Compared to healthy controls (n = 121), patients' cognitive scores were significantly lower in 9 cognitive tests. The models predicted the scores of 7/10 tests (median correlation coefficient, 0.47; range, 0.39-0.57) from 0.6% to 5.4% of the matrix entries; 84% of the predictive edges were between nodes of different networks. Critically involved cortical regions (≥10 adjacent edges) included predominantly left-sided nodes of the visual, somatomotor, dorsal/ventral attention, and default mode networks. Highly critical nodes (≥15 edges) included the default mode network's left temporal and bilateral posterior cingulate cortex. Conclusions These results suggest that the cognitive performance of pretreated glioma patients is strongly related to structural connectivity between multiple brain networks and depends on the integrity of known network hubs also involved in other neurological disorders.
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Affiliation(s)
- Michel Friedrich
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Christian P Filss
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Carolin Weiss Lucas
- Department of General Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Maximilian I Ruge
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Juelich-Aachen Research Alliance (JARA), Section JARA-Brain, Juelich, Germany
- Department of Neurology, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Institute for Anatomy I, Medical Faculty and University Hospital Duesseldorf, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Gereon R Fink
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
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Soffietti R, Pellerino A, Bruno F, Mauro A, Rudà R. Neurotoxicity from Old and New Radiation Treatments for Brain Tumors. Int J Mol Sci 2023; 24:10669. [PMID: 37445846 DOI: 10.3390/ijms241310669] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 06/18/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Research regarding the mechanisms of brain damage following radiation treatments for brain tumors has increased over the years, thus providing a deeper insight into the pathobiological mechanisms and suggesting new approaches to minimize this damage. This review has discussed the different factors that are known to influence the risk of damage to the brain (mainly cognitive disturbances) from radiation. These include patient and tumor characteristics, the use of whole-brain radiotherapy versus particle therapy (protons, carbon ions), and stereotactic radiotherapy in various modalities. Additionally, biological mechanisms behind neuroprotection have been elucidated.
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Affiliation(s)
- Riccardo Soffietti
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Alessia Pellerino
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Francesco Bruno
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
| | - Alessandro Mauro
- Department of Neuroscience "Rita Levi Montalcini", University of Turin and City of Health and Science University Hospital, 10126 Turin, Italy
- I.R.C.C.S. Istituto Auxologico Italiano, Division of Neurology and Neuro-Rehabilitation, San Giuseppe Hospital, 28824 Piancavallo, Italy
| | - Roberta Rudà
- Division of Neuro-Oncology, Department of Neuroscience "Rita Levi Montalcini", University and City of Health and Science University Hospital, 10126 Turin, Italy
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Heinzel A, Mottaghy FM, Filss C, Stoffels G, Lohmann P, Friedrich M, Shah NJ, Caspers S, Lucas CW, Ruge MI, Galldiks N, Fink GR, Langen KJ, Kocher M. The impact of brain lesions on health-related quality of life in patients with WHO CNS grade 3 or 4 glioma: a lesion-function and resting-state fMRI analysis. J Neurooncol 2023; 161:643-654. [PMID: 36750534 PMCID: PMC9992025 DOI: 10.1007/s11060-023-04254-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 01/27/2023] [Indexed: 02/09/2023]
Abstract
PURPOSE In glioma patients, tumor development and multimodality therapy are associated with changes in health-related quality of life (HRQoL). It is largely unknown how different types and locations of tumor- and treatment-related brain lesions, as well as their relationship to white matter tracts and functional brain networks, affect HRQoL. METHODS In 121 patients with pretreated gliomas of WHO CNS grades 3 or 4, structural MRI, O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET, resting-state functional MRI (rs-fMRI) and self-reported HRQoL questionnaires (EORTC QLQ-C30/BN20) were obtained. Resection cavities, T1-enhancing lesions, T2/FLAIR hyperintensities, and lesions with pathologically increased FET uptake were delineated. Effects of tumor lateralization, involvement of white matter tracts or resting-state network nodes by different types of lesions and within-network rs-fMRI connectivity were analyzed in terms of their interaction with HRQoL scores. RESULTS Right hemisphere gliomas were associated with significantly less favorable outcomes in physical, role, emotional and social functioning, compared with left-sided tumors. Most functional HRQoL scores correlated significantly with right-sided white-matter tracts involvement by T2/FLAIR hyperintensities and with loss of within-network functional connectivity of right-sided nodes. Tumors of the left hemisphere caused significantly more communication deficits. CONCLUSION In pretreated high-grade gliomas, right hemisphere lesions are associated with reduced HRQoL scores in most functional domains except communication ability, compared to tumors of the left hemisphere. These relationships are mainly observed for T2/FLAIR lesions involving structural and functional networks in the right hemisphere. The data suggest that sparing the right hemisphere from treatment-related tissue damage may improve HRQoL in glioma patients.
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Affiliation(s)
- Alexander Heinzel
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany.,Department of Nuclear Medicine, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany.,Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Christian Filss
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany
| | - Michel Friedrich
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany
| | - Nadim J Shah
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Juelich-Aachen Research Alliance (JARA), Section JARA-Brain, Juelich, Germany.,Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Institute for Anatomy I, Medical Faculty and, University Hospital Duesseldorf, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Carolin Weiss Lucas
- Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.,Department of General Neurosurgery, Faculty of Medicine and, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Maximilian I Ruge
- Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.,Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and, University Hospital Cologne, Cologne, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.,Department of Neurology, Faculty of Medicine and, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany.,Department of Neurology, Faculty of Medicine and, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany.,Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine, Research Center Juelich, INM-1, -3, -4, -11, Juelich, Germany. .,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany. .,Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and, University Hospital Cologne, Cologne, Germany.
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