1
|
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.
Collapse
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
| |
Collapse
|
2
|
Ng S, Duffau H. Brain Plasticity Profiling as a Key Support to Therapeutic Decision-Making in Low-Grade Glioma Oncological Strategies. Cancers (Basel) 2023; 15:3698. [PMID: 37509359 PMCID: PMC10378506 DOI: 10.3390/cancers15143698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
The ability of neural circuits to compensate for damage to the central nervous system is called postlesional plasticity. In diffuse low-grade gliomas (LGGs), a crosstalk between the brain and the tumor activates modulations of plasticity, as well as tumor proliferation and migration, by means of paracrine and electrical intercommunications. Such adaptative mechanisms have a major impact on the benefits and risks of oncological treatments but are still disregarded by current neuro-oncological guidelines. In this review, the authors first aimed to highlight clinical, radiological, and oncological markers that robustly reflect the plasticity potentials and limitations in LGG patients, including the location of the tumor and the degree of critical white matter tract infiltration, the velocity of tumor expansion, and the reactional changes of neuropsychological performances over time. Second, the interactions between the potential/limitations of cerebral plasticity and the efficacy/tolerance of treatment options (i.e., surgery, chemotherapy, and radiotherapy) are reviewed. Finally, a longitudinal and multimodal treatment approach accounting for the evolutive profiles of brain plasticity is proposed. Such an approach integrates personalized predictive models of plasticity potentials with a step-by-step therapeutic decision making and supports onco-functional balanced strategies in patients with LGG, with the ultimate aim of optimizing overall survival and quality of life.
Collapse
Affiliation(s)
- Sam Ng
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 34295 Montpellier, France
- Institute of Functional Genomics, University of Montpellier, Centre National de le Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale 1191, 34094 Montpellier, France
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 34295 Montpellier, France
- Institute of Functional Genomics, University of Montpellier, Centre National de le Recherche Scientifique, Institut National de la Santé et de la Recherche Médicale 1191, 34094 Montpellier, France
| |
Collapse
|
3
|
Rauch P, Stefanits H, Aichholzer M, Serra C, Vorhauer D, Wagner H, Böhm P, Hartl S, Manakov I, Sonnberger M, Buckwar E, Ruiz-Navarro F, Heil K, Glöckel M, Oberndorfer J, Spiegl-Kreinecker S, Aufschnaiter-Hiessböck K, Weis S, Leibetseder A, Thomae W, Hauser T, Auer C, Katletz S, Gruber A, Gmeiner M. Deep learning-assisted radiomics facilitates multimodal prognostication for personalized treatment strategies in low-grade glioma. Sci Rep 2023; 13:9494. [PMID: 37302994 DOI: 10.1038/s41598-023-36298-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 05/31/2023] [Indexed: 06/13/2023] Open
Abstract
Determining the optimal course of treatment for low grade glioma (LGG) patients is challenging and frequently reliant on subjective judgment and limited scientific evidence. Our objective was to develop a comprehensive deep learning assisted radiomics model for assessing not only overall survival in LGG, but also the likelihood of future malignancy and glioma growth velocity. Thus, we retrospectively included 349 LGG patients to develop a prediction model using clinical, anatomical, and preoperative MRI data. Before performing radiomics analysis, a U2-model for glioma segmentation was utilized to prevent bias, yielding a mean whole tumor Dice score of 0.837. Overall survival and time to malignancy were estimated using Cox proportional hazard models. In a postoperative model, we derived a C-index of 0.82 (CI 0.79-0.86) for the training cohort over 10 years and 0.74 (Cl 0.64-0.84) for the test cohort. Preoperative models showed a C-index of 0.77 (Cl 0.73-0.82) for training and 0.67 (Cl 0.57-0.80) test sets. Our findings suggest that we can reliably predict the survival of a heterogeneous population of glioma patients in both preoperative and postoperative scenarios. Further, we demonstrate the utility of radiomics in predicting biological tumor activity, such as the time to malignancy and the LGG growth rate.
Collapse
Affiliation(s)
- P Rauch
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - H Stefanits
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria.
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria.
| | - M Aichholzer
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - C Serra
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital, University of Zurich, Zurich, Switzerland
- Machine Intelligence in Clinical Neuroscience (MICN) Lab, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - D Vorhauer
- Institute of Statistics, Johannes Kepler University, Linz, Austria
| | - H Wagner
- Institute of Statistics, Johannes Kepler University, Linz, Austria
| | - P Böhm
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - S Hartl
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | | | - M Sonnberger
- Institute of Neuroradiology, Kepler University Hospital and Johannes Kepler University, Linz, Austria
| | - E Buckwar
- Institute of Stochastics, Johannes Kepler University, Linz, Austria
| | - F Ruiz-Navarro
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - K Heil
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - M Glöckel
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - J Oberndorfer
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - S Spiegl-Kreinecker
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - K Aufschnaiter-Hiessböck
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - S Weis
- Institute of Pathology and Neuropathology, Kepler University Hospital and Johannes Kepler University, Linz, Austria
| | - A Leibetseder
- Department of Neurology, Kepler University Hospital and Johannes Kepler University, Linz, Austria
| | - W Thomae
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - T Hauser
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - C Auer
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - S Katletz
- Department of Neurology, Kepler University Hospital and Johannes Kepler University, Linz, Austria
| | - A Gruber
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| | - M Gmeiner
- Department of Neurosurgery, Kepler University Hospital, Wagner-Jauregg Weg 15, 4020, Linz, Austria
- Johannes Kepler University, Altenberger Strasse 69, 4040, Linz, Austria
| |
Collapse
|
4
|
Duffau H. Oncological and functional neurosurgery: Perspectives for the decade regarding diffuse gliomas. Rev Neurol (Paris) 2023; 179:437-448. [PMID: 36907710 DOI: 10.1016/j.neurol.2023.01.724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/17/2023] [Accepted: 01/22/2023] [Indexed: 03/12/2023]
Abstract
For decades, diffuse glioma (DG) studies mostly focused on oncological considerations, whereas functional outcomes received less attention. Currently, because overall survival has increased in DG, especially in low-grade glioma (overall survival > 15 years), quality of life including neurocognitive and behavioral aspects should be assessed and preserved more systematically, particularly regarding surgery. Indeed, early maximal tumor removal results in greater survival in both high-grade and low-grade gliomas, leading to propose "supra-marginal" resection, with excision of the peritumoral zone in diffuse neoplasms. To minimize functional risks while maximizing the extent of resection, traditional "tumor-mass resection" is replaced by "connectome-guided resection" conducted under awake mapping, taking into account inter-individual brain anatomo-functional variability. A better understanding of the dynamic interplay between DG progression and reactional neuroplastic mechanisms is critical to adapt a personalized multistage therapeutic strategy, with integration of functional neurooncological (re)operation(s) in a multimodal management scheme including repeated medical therapies. Because the therapeutic armamentarium remains limited, the aims of this paradigmatic shift are to predict one/several step(s) ahead glioma behavior, its modifications, and compensatory neural networks reconfiguration over time in order to optimize the onco-functional benefit of each treatment - either in isolation or in combination with others - in human beings bearing a chronic tumoral disease while enjoying an active familial and socio-professional life as close as possible to their expectations. Thus, new ecological endpoints such as return to work should be incorporated into future DG trials. "Preventive neurooncology" might also be envisioned, by proposing a screening policy to discover and treat incidental glioma earlier.
Collapse
Affiliation(s)
- H Duffau
- Department of Neurosurgery, Montpellier University Medical Center, Gui-de-Chauliac Hospital, 80, avenue Augustin-Fliche, 34295 Montpellier, France; Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", National Institute for Health and Medical Research (Inserm), U1191 Laboratory, Institute of Functional Genomics, University of Montpellier, 34091 Montpellier, France.
| |
Collapse
|
5
|
Hardy SJ, Finkelstein AJ, Tivarus M, Culakova E, Mohile N, Weber M, Lin E, Zhong J, Usuki K, Schifitto G, Milano M, Janelsins-Benton MC. Cognitive and neuroimaging outcomes in individuals with benign and low-grade brain tumours receiving radiotherapy: a protocol for a prospective cohort study. BMJ Open 2023; 13:e066458. [PMID: 36792323 PMCID: PMC9933762 DOI: 10.1136/bmjopen-2022-066458] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 01/27/2023] [Indexed: 02/17/2023] Open
Abstract
INTRODUCTION Radiation-induced cognitive decline (RICD) occurs in 50%-90% of adult patients 6 months post-treatment. In patients with low-grade and benign tumours with long expected survival, this is of paramount importance. Despite advances in radiation therapy (RT) treatment delivery, better understanding of structures important for RICD is necessary to improve cognitive outcomes. We hypothesise that RT may affect network topology and microstructural integrity on MRI prior to any gross anatomical or apparent cognitive changes. In this longitudinal cohort study, we aim to determine the effects of RT on brain structural and functional integrity and cognition. METHODS AND ANALYSIS This study will enroll patients with benign and low-grade brain tumours receiving partial brain radiotherapy. Patients will receive either hypofractionated (>2 Gy/fraction) or conventionally fractionated (1.8-2 Gy/fraction) RT. All participants will be followed for 12 months, with MRIs conducted pre-RT and 6-month and 12 month post-RT, along with a battery of neurocognitive tests and questionnaires. The study was initiated in late 2018 and will continue enrolling through 2024 with final follow-ups completing in 2025. The neurocognitive battery assesses visual and verbal memory, attention, executive function, processing speed and emotional cognition. MRI protocols incorporate diffusion tensor imaging and resting state fMRI to assess structural connectivity and functional connectivity, respectively. We will estimate the association between radiation dose, imaging metrics and cognitive outcomes. ETHICS AND DISSEMINATION This study has been approved by the Research Subjects Review Board at the University of Rochester (STUDY00001512: Cognitive changes in patients receiving partial brain radiation). All results will be published in peer-reviewed journals and at scientific conferences. TRIAL REGISTRATION NUMBER ClinicalTrials.gov NCT04390906.
Collapse
Affiliation(s)
- Sara J Hardy
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA
| | - Alan J Finkelstein
- Department of Biomedical Engineering, University of Rochester, Rochester, New York, USA
- Center for Advanced Brain Imaging and Neurophysiology, University of Rochester Medical Center, Rochester, New York, USA
| | - Madalina Tivarus
- Center for Advanced Brain Imaging and Neurophysiology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Eva Culakova
- Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA
| | - Nimish Mohile
- Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA
| | - Miriam Weber
- Department of Neurology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York, USA
| | - Edward Lin
- Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Jianhui Zhong
- Department of Biomedical Engineering, University of Rochester, Rochester, New York, USA
- Center for Advanced Brain Imaging and Neurophysiology, University of Rochester Medical Center, Rochester, New York, USA
| | - Kenneth Usuki
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA
| | - Giovanni Schifitto
- Department of Neurology, Department of Imaging Sciences, University of Rochester Medical Center, Rochester, New York, USA
| | - Michael Milano
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA
| | - M C Janelsins-Benton
- Department of Radiation Oncology, University of Rochester Medical Center, Rochester, New York, USA
- Department of Surgery, University of Rochester Medical Center, Rochester, New York, USA
| |
Collapse
|
6
|
The need to consider return to work as a main outcome in patients undergoing surgery for diffuse low-grade glioma: a systematic review. Acta Neurochir (Wien) 2022; 164:2789-2809. [PMID: 35945356 DOI: 10.1007/s00701-022-05339-y] [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: 05/30/2022] [Accepted: 08/02/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVE For a long time, return to work (RTW) has been neglected in patients harboring a diffuse low-grade glioma (LGG). However, a majority of LGG patients worked at time of diagnosis. Moreover, these patients now live longer given current treatment paradigms, especially thanks to early maximal surgery. METHODS We systematically searched available medical databases for studies that reported data on RTW in patients who underwent resection for LGG. RESULTS A total of 30 studies were selected: 19 considered RTW (especially rate and timing) as an outcome and 11 used scales of health-related quality of life (HRQoL) which included work-related aspects. Series that considered RTW as a main endpoint were composed of 1014 patients, with postoperative RTW rates ranging from 31 to 97.1% (mean 73.1%). Timing to RTW ranged from 15 days to 22 months (mean 6.3 months). Factors related to an increased proportion of RTW were: younger age, better neurologic status, having a white-collar occupation, working pre-operatively, being the sole breadwinner, the use of awake surgery, and greater extent of resection. Female sex, older age, poor neurologic status, pre-operative history of work absences, slow lexical access speed, and postoperative seizures were negatively related to RTW. No studies that used HRQoL scales directly investigated RTW rate or timing. CONCLUSIONS RTW was scarcely analyzed in LGG patients who underwent resection. However, because they are usually young, with no or only mild functional deficits and have a longer life expectancy, postoperative RTW should be assessed more systematically and accurately as a main outcome. As majority (61.5-100%) of LGG patients were working at time of surgery, the responsibility of neurosurgeons is to bring these patients back to their previous activities according to his/her wishes. RTW might also be included as a critical endpoint for future prospective studies and randomized control trials on LGGs.
Collapse
|
7
|
Duffau H. A Personalized Longitudinal Strategy in Low-Grade Glioma Patients: Predicting Oncological and Neural Interindividual Variability and Its Changes over Years to Think One Step Ahead. J Pers Med 2022; 12:jpm12101621. [PMID: 36294760 PMCID: PMC9604939 DOI: 10.3390/jpm12101621] [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: 08/28/2022] [Revised: 09/15/2022] [Accepted: 09/22/2022] [Indexed: 11/09/2022] Open
Abstract
Diffuse low-grade glioma (LGG) is a rare cerebral cancer, mostly involving young adults with an active life at diagnosis. If left untreated, LGG widely invades the brain and becomes malignant, generating neurological worsening and ultimately death. Early and repeat treatments for this incurable tumor, including maximal connectome-based surgical resection(s) in awake patients, enable postponement of malignant transformation while preserving quality of life owing to constant neural network reconfiguration. Due to considerable interindividual variability in terms of LGG course and consecutive cerebral reorganization, a multistage longitudinal strategy should be tailored accordingly in each patient. It is crucial to predict how the glioma will progress (changes in growth rate and pattern of migration, genetic mutation, etc.) and how the brain will adapt (changes in patterns of spatiotemporal redistribution, possible functional consequences such as epilepsy or cognitive decline, etc.). The goal is to anticipate therapeutic management, remaining one step ahead in order to select the optimal (re-)treatment(s) (some of them possibly kept in reserve), at the appropriate time(s) in the evolution of this chronic disease, before malignization and clinical worsening. Here, predictive tumoral and non-tumoral factors, and their ever-changing interactions, are reviewed to guide individual decisions in advance based on patient-specific markers, for the treatment of LGG.
Collapse
Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 80 Av. Augustin Fliche, 34295 Montpellier, France; ; Tel.: +33-4-67-33-66-12; Fax: +33-4-67-33-69-12
- Team “Plasticity of Central Nervous System, Stem Cells and Glial Tumors”, National Institute for Health and Medical Research (INSERM), U1191 Laboratory, Institute of Functional Genomics, University of Montpellier, 34091 Montpellier, France
| |
Collapse
|
8
|
Duffau H. Repeated Awake Surgical Resection(s) for Recurrent Diffuse Low-Grade Gliomas: Why, When, and How to Reoperate? Front Oncol 2022; 12:947933. [PMID: 35865482 PMCID: PMC9294369 DOI: 10.3389/fonc.2022.947933] [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: 05/19/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Early maximal surgical resection is the first treatment in diffuse low-grade glioma (DLGG), because the reduction of tumor volume delays malignant transformation and extends survival. Awake surgery with intraoperative mapping and behavioral monitoring enables to preserve quality of life (QoL). However, because of the infiltrative nature of DLGG, relapse is unavoidable, even after (supra)total resection. Therefore, besides chemotherapy and radiotherapy, the question of reoperation(s) is increasingly raised, especially because patients with DLGG usually enjoy a normal life with long-lasting projects. Here, the purpose is to review the literature in the emerging field of iterative surgeries in DLGG. First, long-term follow-up results showed that patients with DLGG who underwent multiple surgeries had an increased survival (above 17 years) with preservation of QoL. Second, the criteria guiding the decision to reoperate and defining the optimal timing are discussed, mainly based on the dynamic intercommunication between the glioma relapse (including its kinetics and pattern of regrowth) and the reactional cerebral reorganization—i.e., mechanisms underpinning reconfiguration within and across neural networks to enable functional compensation. Third, how to adapt medico-surgical strategy to this individual spatiotemporal brain tumor interplay is detailed, by considering the perpetual changes in connectome. These data support early reoperation in recurrent DLGG, before the onset of symptoms and before malignant transformation. Repeat awake resection(s) should be integrated in a global management including (neo)adjuvant medical treatments, to enhance long-lasting functional and oncological outcomes. The prediction of potential and limitation of neuroplasticity at each step of the disease must be improved to anticipate personalized multistage therapeutic attitudes.
Collapse
Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- Team “Plasticity of Central Nervous System, Stem Cells and Glial Tumors”, National Institute for Health and Medical Research (INSERM), U1191 Laboratory, Institute of Functional Genomics, University of Montpellier, Montpellier, France
- *Correspondence: Hugues Duffau,
| |
Collapse
|
9
|
Silva M, Vivancos C, Duffau H. The Concept of «Peritumoral Zone» in Diffuse Low-Grade Gliomas: Oncological and Functional Implications for a Connectome-Guided Therapeutic Attitude. Brain Sci 2022; 12:brainsci12040504. [PMID: 35448035 PMCID: PMC9032126 DOI: 10.3390/brainsci12040504] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/10/2022] [Accepted: 04/12/2022] [Indexed: 12/22/2022] Open
Abstract
Diffuse low-grade gliomas (DLGGs) are heterogeneous and poorly circumscribed neoplasms with isolated tumor cells that extend beyond the margins of the lesion depicted on MRI. Efforts to demarcate the glioma core from the surrounding healthy brain led us to define an intermediate region, the so-called peritumoral zone (PTZ). Although most studies about PTZ have been conducted on high-grade gliomas, the purpose here is to review the cellular, metabolic, and radiological characteristics of PTZ in the specific context of DLGG. A better delineation of PTZ, in which glioma cells and neural tissue strongly interact, may open new therapeutic avenues to optimize both functional and oncological results. First, a connectome-based “supratotal” surgical resection (i.e., with the removal of PTZ in addition to the tumor core) resulted in prolonged survival by limiting the risk of malignant transformation, while improving the quality of life, thanks to a better control of seizures. Second, the timing and order of (neo)adjuvant medical treatments can be modulated according to the pattern of peritumoral infiltration. Third, the development of new drugs specifically targeting the PTZ could be considered from an oncological (such as immunotherapy) and epileptological perspective. Further multimodal investigations of PTZ are needed to maximize long-term outcomes in DLGG patients.
Collapse
Affiliation(s)
- Melissa Silva
- Department of Neurosurgery, Hospital Garcia de Orta, 2805-267 Almada, Portugal;
| | - Catalina Vivancos
- Department of Neurosurgery, Hospital Universitario La Paz, 28046 Madrid, Spain;
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, 34295 Montpellier, France
- Team “Plasticity of Central Nervous System, Stem Cells and Glial Tumors”, Institute of Functional Genomics, National Institute for Health and Medical Research (INSERM) U1191, University of Montpellier, 34295 Montpellier, France
- Correspondence:
| |
Collapse
|
10
|
Duffau H. White Matter Tracts and Diffuse Lower-Grade Gliomas: The Pivotal Role of Myelin Plasticity in the Tumor Pathogenesis, Infiltration Patterns, Functional Consequences and Therapeutic Management. Front Oncol 2022; 12:855587. [PMID: 35311104 PMCID: PMC8924360 DOI: 10.3389/fonc.2022.855587] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 02/14/2022] [Indexed: 12/18/2022] Open
Abstract
For many decades, interactions between diffuse lower-grade glioma (LGG) and brain connectome were neglected. However, the neoplasm progression is intimately linked to its environment, especially the white matter (WM) tracts and their myelin status. First, while the etiopathogenesis of LGG is unclear, this tumor seems to appear during the adolescence, and it is mostly located within anterior and associative cerebral areas. Because these structures correspond to those which were myelinated later in the brain maturation process, WM myelination could play a role in the development of LGG. Second, WM fibers and the myelin characteristics also participate in LGG diffusion, since glioma cells migrate along the subcortical pathways, especially when exhibiting a demyelinated phenotype, which may result in a large invasion of the parenchyma. Third, such a migratory pattern can induce functional (neurological, cognitive and behavioral) disturbances, because myelinated WM tracts represent the main limitation of neuroplastic potential. These parameters are critical for tailoring an individualized therapeutic strategy, both (i) regarding the timing of active treatment(s) which must be proposed earlier, before a too wide glioma infiltration along the WM bundles, (ii) and regarding the anatomic extent of surgical resection and irradiation, which should take account of the subcortical connectivity. Therefore, the new science of connectomics must be integrated in LGG management, based upon an improved understanding of the interplay across glioma dissemination within WM and reactional neural networks reconfiguration, in order to optimize long-term oncological and functional outcomes. To this end, mechanisms of activity-dependent myelin plasticity should be better investigated.
Collapse
Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,Team "Plasticity of Central Nervous System, Stem Cells and Glial Tumors", Institute of Functional Genomics, National Institute for Health and Medical Research (INSERM) U1191, University of Montpellier, Montpellier, France
| |
Collapse
|
11
|
Blonski M, Obara T, Brzenczek C, Pouget C, Dillier C, Meyer M, Lavigne L, Forthoffer N, Broussois A, Gauchotte G, Baron MH, Rech F, Mézières S, Gaudeau Y, Verger A, Vogin G, Anxionnat R, Moureaux JM, Taillandier L. Initial PCV Chemotherapy Followed by Radiotherapy Is Associated With a Prolonged Response But Late Neurotoxicity in 20 Diffuse Low-Grade Glioma Patients. Front Oncol 2022; 12:827897. [PMID: 35311144 PMCID: PMC8931287 DOI: 10.3389/fonc.2022.827897] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/03/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundStudy RTOG 9802 in high-risk diffuse low-grade gliomas (DLGGs) showed the potential synergistic effect on survival of the procarbazine, CCNU, and vincristine (PCV) radiotherapy (RT) combination. Limited data on long-term neurocognitive impact and quality of life (QoL) have yet been reported.Patients and MethodsWe described a monocentric series of patients treated at first line by the combination of PCV immediately followed by RT between January 01, 1982 and January 01, 2017. Radiological data were collected and included volume, velocity of diametric expansion (VDE), and MRI aspects. Long-term neurocognitive and QoL were analyzed.ResultsTwenty patients fulfilled the eligibility criteria. The median response rate was 65.1% (range, 9.6%–99%) at the time of maximal VDE decrease corresponding to a median volume reduction of 79.7 cm3 (range, 3.1 to 174.2 cm3), which occurred after a median period of 7.2 years (range, 0.3–21.9) after the end of RT. An ongoing negative VDE was measured in 13/16 patients after the end of RT, with a median duration of 6.7 years (range, 9 months–21.9 years). The median follow-up since radiological diagnosis was 17.5 years (range, 4.8 to 29.5). Estimated median survival was 17.4 years (95% CI: 12; NR). After a long-term follow-up, substantial neurotoxicity was noticed with dementia in six progression-free patients (30%), leading to ventriculo-peritoneal shunt procedures in three, and premature death in five. Thirteen patients (65%) were unable to work with disability status. Successive longitudinal neurocognitive assessments for living patients showed verbal episodic memory deterioration.ConclusionsPCV-RT combination seems to have not only an oncological synergy but also a long-term neurotoxic synergy to consider before initial therapeutic decision.
Collapse
Affiliation(s)
- Marie Blonski
- Department of Neurology, Neurooncology Unit, CHRU, Nancy, France
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
- *Correspondence: Marie Blonski,
| | - Tiphaine Obara
- Department of Neurology, Neurooncology Unit, CHRU, Nancy, France
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
| | - Cyril Brzenczek
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
| | - Celso Pouget
- Department of Pathology, CHRU, Nancy, France
- Centre de ressources Biologiques, BB-0033-00035, CHRU, Nancy, France
| | - Céline Dillier
- Department of Neurology, Neurooncology Unit, CHRU, Nancy, France
| | - Mylène Meyer
- Department of Neurology, Neurooncology Unit, CHRU, Nancy, France
| | - Laura Lavigne
- Department of Neurology, Neurooncology Unit, CHRU, Nancy, France
| | | | | | - Guillaume Gauchotte
- Department of Pathology, CHRU, Nancy, France
- Centre de ressources Biologiques, BB-0033-00035, CHRU, Nancy, France
| | | | - Fabien Rech
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
- Department of Neurosurgery, CHRU, Nancy, France
| | - Sophie Mézières
- Department of Mathematics, Elie Cartan Institute, Nancy, France
- INRIA Biology, Genetics and Statistics, Nancy, France
| | - Yann Gaudeau
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
| | - Antoine Verger
- Department of Nuclear Medicine and Nancyclotep Imaging Platform, CHRU, Nancy, France
- IADI, INSERM U1254, Université de Lorraine, Vandoeuvre-lès Nancy, France
| | - Guillaume Vogin
- Department of Radiation Therapy, Baclesse Radiation Therapy Center, Esch/Alzette, Luxembourg
- UMR 7635 CNRS, IMoPA Biopole Lorraine University Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès-Nancy, France
| | | | - Jean-Marie Moureaux
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
| | - Luc Taillandier
- Department of Neurology, Neurooncology Unit, CHRU, Nancy, France
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès Nancy, France
| |
Collapse
|
12
|
Sekely A, Tsang DS, Mabbott D, Kongkham P, Zadeh G, Zakzanis KK, Edelstein K. Radiation dose to circumscribed brain regions and neurocognitive function in patients with meningioma. Neurooncol Pract 2022; 9:208-218. [PMID: 35601975 PMCID: PMC9113401 DOI: 10.1093/nop/npac011] [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: 11/12/2022] Open
Abstract
Background Although radiation (RT) is standard treatment for many brain tumors, it may contribute to neurocognitive decline. The objective of this study was to investigate associations between RT dose to circumscribed brain regions and specific neurocognitive domains in patients with meningioma. Methods We undertook a retrospective study of 40 patients with meningioma who received RT and underwent an in-depth clinical neurocognitive assessment. Radiation dosimetry characteristics were delineated based on treatment planning computerized tomography co-registered with contrast-enhanced 3D T1-weighted magnetic resonance imaging. Principal components analysis was applied to organize neurocognitive test scores into factors, and multivariate multiple linear regression models were undertaken to examine if RT dose to circumscribed brain regions is associated with specific neurocognitive outcomes. Results Radiation dose to brain regions was associated with neurocognitive functions across a number of domains. High dose to the parietal-occipital region was associated with slower visuomotor processing speed (mean dose, β = -1.100, P = .017; dose to 50% of the region [D50], β = -0.697, P = .049). In contrast, high dose to the dorsal frontal region was associated with faster visuomotor processing speed (mean dose, β = 0.001, P = .036). Conclusions These findings suggest that RT delivered to brain regions (ie, parietal-occipital areas) may contribute to poor neurocognitive outcomes. Given that modern radiotherapy techniques allow for precise targeting of dose delivered to brain regions, prospective trials examining relations between dose and neurocognitive functions are warranted to confirm these preliminary results.
Collapse
Affiliation(s)
- Angela Sekely
- Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada,Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada,Corresponding Author: Angela Sekely, MA, Graduate Department of Psychological Clinical Science, University of Toronto, 1265 Military Trail SY171, Scarborough, ON M1C 1A4, Canada; Department of Supportive Care, Princess Margaret Cancer Centre, Toronto, ON, Canada ()
| | - Derek S Tsang
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada,Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Donald Mabbott
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada,Department of Psychology, Neurosciences, and Mental Health Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Paul Kongkham
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada,Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Gelareh Zadeh
- Division of Neurosurgery, Department of Surgery, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Konstantine K Zakzanis
- Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Kim Edelstein
- Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada,Department of Supportive Care, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
13
|
Wu C, Ferreira F, Fox M, Harel N, Hattangadi-Gluth J, Horn A, Jbabdi S, Kahan J, Oswal A, Sheth SA, Tie Y, Vakharia V, Zrinzo L, Akram H. Clinical applications of magnetic resonance imaging based functional and structural connectivity. Neuroimage 2021; 244:118649. [PMID: 34648960 DOI: 10.1016/j.neuroimage.2021.118649] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 09/24/2021] [Accepted: 10/10/2021] [Indexed: 12/23/2022] Open
Abstract
Advances in computational neuroimaging techniques have expanded the armamentarium of imaging tools available for clinical applications in clinical neuroscience. Non-invasive, in vivo brain MRI structural and functional network mapping has been used to identify therapeutic targets, define eloquent brain regions to preserve, and gain insight into pathological processes and treatments as well as prognostic biomarkers. These tools have the real potential to inform patient-specific treatment strategies. Nevertheless, a realistic appraisal of clinical utility is needed that balances the growing excitement and interest in the field with important limitations associated with these techniques. Quality of the raw data, minutiae of the processing methodology, and the statistical models applied can all impact on the results and their interpretation. A lack of standardization in data acquisition and processing has also resulted in issues with reproducibility. This limitation has had a direct impact on the reliability of these tools and ultimately, confidence in their clinical use. Advances in MRI technology and computational power as well as automation and standardization of processing methods, including machine learning approaches, may help address some of these issues and make these tools more reliable in clinical use. In this review, we will highlight the current clinical uses of MRI connectomics in the diagnosis and treatment of neurological disorders; balancing emerging applications and technologies with limitations of connectivity analytic approaches to present an encompassing and appropriate perspective.
Collapse
Affiliation(s)
- Chengyuan Wu
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, 909 Walnut Street, Third Floor, Philadelphia, PA 19107, USA; Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, 909 Walnut Street, First Floor, Philadelphia, PA 19107, USA.
| | - Francisca Ferreira
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, 33 Queen Square, London WC1N 3BG, UK; Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, 33 Queen Square, London WC1N 3BG, UK.
| | - Michael Fox
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, Radiology, and Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA 02115, USA.
| | - Noam Harel
- Center for Magnetic Resonance Research, University of Minnesota, 2021 Sixth Street S.E., Minneapolis, MN 55455, USA.
| | - Jona Hattangadi-Gluth
- Department of Radiation Medicine and Applied Sciences, Center for Precision Radiation Medicine, University of California, San Diego, 3855 Health Sciences Drive, La Jolla, CA 92037, USA.
| | - Andreas Horn
- Neurology Department, Movement Disorders and Neuromodulation Section, Charité - University Medicine Berlin, Charitéplatz 1, D-10117, Berlin, Germany.
| | - Saad Jbabdi
- Wellcome Centre for Integrative Neuroimaging, Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK.
| | - Joshua Kahan
- Department of Neurology, Weill Cornell Medicine, 525 East 68th Street, New York, NY, 10065, USA.
| | - Ashwini Oswal
- Medical Research Council Brain Network Dynamics Unit, University of Oxford, Mansfield Rd, Oxford OX1 3TH, UK.
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, 7200 Cambridge, Ninth Floor, Houston, TX 77030, USA.
| | - Yanmei Tie
- Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry, Radiology, and Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA 02115, USA; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA 02115, USA.
| | - Vejay Vakharia
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, 33 Queen Square, London WC1N 3BG, UK.
| | - Ludvic Zrinzo
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, 33 Queen Square, London WC1N 3BG, UK; Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, 33 Queen Square, London WC1N 3BG, UK.
| | - Harith Akram
- Victor Horsley Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, 33 Queen Square, London WC1N 3BG, UK; Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology, 33 Queen Square, London WC1N 3BG, UK.
| |
Collapse
|
14
|
Louppe E, Moritz-Gasser S, Duffau H. Language recovery through a two-stage awake surgery in an aphasic patient with a voluminous left fronto-temporo-insular glioma: case report. Acta Neurochir (Wien) 2021; 163:3115-3119. [PMID: 34275021 DOI: 10.1007/s00701-021-04932-x] [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: 04/30/2021] [Accepted: 06/26/2021] [Indexed: 12/18/2022]
Abstract
Awake surgery is difficult in glioma patients with preoperative aphasia. A 29-year-old right-handed bilingual (Spanish/English) patient experienced intractable seizures with severe language disorders due to a voluminous left fronto-temporo-insular tumor. We performed awake procedure with initial laborious language mapping, but with real-time improvement throughout the debulking, allowing preservation of the connectivity. A substantial residue was left. Postoperative cognitive rehabilitation resulted in a dramatic functional improvement, in both languages, permitting a complementary awake surgery, this time with a perfect collaboration of the patient. This multistep strategy enabled 92% of resection while enhancing quality of life with language recovery and epilepsy control.
Collapse
Affiliation(s)
- Elisa Louppe
- Department of Neurosurgery, Montpellier University Medical Center, 34295, Montpellier, France
- Institute of Functional Genomics, INSERM U-1191, University of Montpellier, 34298, Montpellier, France
| | - Sylvie Moritz-Gasser
- Department of Neurosurgery, Montpellier University Medical Center, 34295, Montpellier, France
- Institute of Functional Genomics, INSERM U-1191, University of Montpellier, 34298, Montpellier, France
| | - Hugues Duffau
- Department of Neurosurgery, Montpellier University Medical Center, 34295, Montpellier, France.
- Institute of Functional Genomics, INSERM U-1191, University of Montpellier, 34298, Montpellier, France.
- Department of Neurosurgery, Gui de Chauliac Hospital, CHU Montpellier, 80 Avenue Augustin Fliche, 34295, Montpellier, France.
| |
Collapse
|
15
|
Smirnov M, Destrieux C, Maldonado IL. Cerebral white matter vasculature: still uncharted? Brain 2021; 144:3561-3575. [PMID: 34718425 DOI: 10.1093/brain/awab273] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/17/2021] [Accepted: 07/11/2021] [Indexed: 11/14/2022] Open
Abstract
White matter vasculature plays a major role in the pathophysiology of permanent neurological deficits following a stroke or progressive cognitive alteration related to small vessel disease. Thus, knowledge of the complex vascularization and functional aspects of the deep white matter territories is paramount to comprehend clinical manifestations of brain ischemia. This review provides a structured presentation of the existing knowledge of the vascularization of the human cerebral white matter from seminal historical studies to the current literature. First, we revisit the highlights of prenatal development of the endoparenchymal telencephalic vascular system that are crucial for the understanding of vessel organization in the adult. Second, we reveal the tangled history of debates on the existence, clinical significance, and physiological role of leptomeningeal anastomoses. Then, we present how conceptions on white matter vascularization transitioned from the mixed ventriculopetal/ventriculofugal theory, in which a low-flow area was interposed in between concurrent arterial flows, to the purely ventriculopetal theory. The latter model explains variable white matter sensitivity to ischemia by various organizations of ventriculopetal vessel terminals having different origin/length properties and interconnection patterns. Next, arteries supplying primarily the white matter are described according to their length and overall structure. Furthermore, the known distribution territories, to date, are studied in relation to primary anatomical structures of the human cerebral white matter, emphasizing the sparsity of the "ground-truth" data available in the literature. Finally, the implications for both large vessel occlusion and chronic small vessel disease are discussed, as well as the insights from neuroimaging. All things considered, we identify the need for further research on deep white matter vascularization, especially regarding the arterial supply of white matter fiber tracts.
Collapse
Affiliation(s)
- Mykyta Smirnov
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Christophe Destrieux
- UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.,CHRU de Tours, Tours, France
| | | |
Collapse
|
16
|
Duffau H. Introducing the concept of brain metaplasticity in glioma: how to reorient the pattern of neural reconfiguration to optimize the therapeutic strategy. J Neurosurg 2021; 136:613-617. [PMID: 34624858 DOI: 10.3171/2021.5.jns211214] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Hugues Duffau
- 1Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center; Team "Neuroplasticity, Stem Cells and Glial Tumors," Institute of Functional Genomics, INSERM U-1191, University of Montpellier; and University of Montpellier, France
| |
Collapse
|
17
|
Duffau H. Dynamic Interplay between Lower-Grade Glioma Instability and Brain Metaplasticity: Proposal of an Original Model to Guide the Therapeutic Strategy. Cancers (Basel) 2021; 13:4759. [PMID: 34638248 PMCID: PMC8507523 DOI: 10.3390/cancers13194759] [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: 08/22/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 11/16/2022] Open
Abstract
The behavior of lower-grade glioma (LGG) is changing over time, spontaneously, and in reaction to treatments. First, due to genomic instability and clonal expansion, although LGG progresses slowly during the early period of the disease, its growth velocity will accelerate when this tumor will transform to a higher grade of malignancy. Furthermore, its pattern of progression may change following therapy, e.g., by switching from a proliferative towards a more diffuse profile, in particular after surgical resection. In parallel to this plasticity of the neoplasm, the brain itself is constantly adapting to the tumor and possible treatment(s) thanks to reconfiguration within and between neural networks. Furthermore, the pattern of reallocation can also change, especially by switching from a perilesional to a contrahemispheric functional reorganization. Such a reorientation of mechanisms of cerebral reshaping, related to metaplasticity, consists of optimizing the efficiency of neural delocalization in order to allow functional compensation by adapting over time the profile of circuits redistribution to the behavioral modifications of the glioma. This interplay between LGG mutations and reactional connectomal instability leads to perpetual modulations in the glioma-neural equilibrium, both at ultrastructural and macroscopic levels, explaining the possible preservation of quality of life despite tumor progression. Here, an original model of these dynamic interactions across LGG plasticity and the brain metanetwork is proposed to guide a tailored step-by-step individualized therapeutic strategy over years. Integration of these new parameters, not yet considered in the current guidelines, might improve management of LGG patients.
Collapse
Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery, Montpellier University Medical Center, 34295 Montpellier, France; ; Tel.: +33-4-67-33-66-12
- Institute of Functional Genomics, University of Montpellier, 34295 Montpellier, France
| |
Collapse
|
18
|
Connor M, Kim MM, Cao Y, Hattangadi-Gluth J. Precision Radiotherapy for Gliomas: Implementing Novel Imaging Biomarkers to Improve Outcomes With Patient-Specific Therapy. Cancer J 2021; 27:353-363. [PMID: 34570449 PMCID: PMC8480523 DOI: 10.1097/ppo.0000000000000546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
ABSTRACT Gliomas are the most common primary brain cancer, yet are extraordinarily challenging to treat because they can be aggressive and infiltrative, locally recurrent, and resistant to standard treatments. Furthermore, the treatments themselves, including radiation therapy, can affect patients' neurocognitive function and quality of life. Noninvasive imaging is the standard of care for primary brain tumors, including diagnosis, treatment planning, and monitoring for treatment response. This article explores the ways in which advanced imaging has and will continue to transform radiation treatment for patients with gliomas, with a focus on cognitive preservation and novel biomarkers, as well as precision radiotherapy and treatment adaptation. Advances in novel imaging techniques continue to push the field forward, to more precisely guided treatment planning, radiation dose escalation, measurement of therapeutic response, and understanding of radiation-associated injury.
Collapse
Affiliation(s)
- Michael Connor
- From the Department of Radiation Medicine and Applied Sciences, UC San Diego, Moores Cancer Center, La Jolla, CA
| | - Michelle M Kim
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
| | - Yue Cao
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
| | - Jona Hattangadi-Gluth
- From the Department of Radiation Medicine and Applied Sciences, UC San Diego, Moores Cancer Center, La Jolla, CA
| |
Collapse
|
19
|
Taillandier L, Obara T, Duffau H. What Does Quality of Care Mean in Lower-Grade Glioma Patients: A Precision Molecular-Based Management of the Tumor or an Individualized Medicine Centered on Patient's Choices? Front Oncol 2021; 11:719014. [PMID: 34354956 PMCID: PMC8329449 DOI: 10.3389/fonc.2021.719014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 07/02/2021] [Indexed: 12/02/2022] Open
Affiliation(s)
- Luc Taillandier
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès-Nancy, France
- Neurology Departement, Neurooncology Unit, CHRU, Nancy, France
| | - Tiphaine Obara
- Centre de Recherche en Automatique Nancy France - UMR 7039 - BioSiS Department, Faculty of Medicine, Université de Lorraine, Vandoeuvre-lès-Nancy, France
- Neurology Departement, Neurooncology Unit, CHRU, Nancy, France
| | - Hugues Duffau
- Department of Neurosurgery, Gui de Chauliac Hospital, Montpellier University Medical Center, Montpellier, France
- Team “Plasticity of Central Nervous System, Stem Cells and Glial Tumors”, National Institute for Health and Medical Research (INSERM), U1191 Laboratory, Institute of Functional Genomics, University of Montpellier, Montpellier, France
| |
Collapse
|
20
|
Brain connectomics applied to oncological neuroscience: from a traditional surgical strategy focusing on glioma topography to a meta-network approach. Acta Neurochir (Wien) 2021; 163:905-917. [PMID: 33564906 DOI: 10.1007/s00701-021-04752-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/01/2021] [Indexed: 02/07/2023]
Abstract
The classical way for surgical selection and planning in cerebral glioma mainly focused on tumor topography. The emerging science of connectomics, which aims of mapping brain connectivity, resulted in a paradigmatic shift from a modular account of cerebral organization to a meta-network perspective. Adaptive behavior is actually mediated by constant changes in interactions within and across large-scale delocalized neural systems underlying conation, cognition, and emotion. Here, to optimize the onco-functional balance of glioma surgery, the purpose is to switch toward a connectome-based resection taking account of both relationships between the tumor and critical distributed circuits (especially subcortical pathways) as well as the perpetual instability of the meta-network. Such dynamic in the neural spatiotemporal integration permits functional reallocation leading to neurological recovery after massive resection in structures traditionally thought as "inoperable." This better understanding of connectome increases benefit/risk ratio of surgery (i) by selecting resection in areas deemed "eloquent" according to a localizationist dogma; (ii), conversely, by refining intraoperative awake cognitive mapping and monitoring in so-called non-eloquent areas; (iii) by improving preoperative information, enabling an optimal selection of intrasurgical tasks tailored to the patient's wishes; (iv) by developing an "oncological disconnection surgery"; (v) by defining a personalized multistep surgical strategy adapted to individual brain reshaping potential; and (vi) ultimately by preserving environmentally and socially appropriate behavior, including return to work, while increasing the extent of (possibly repeated) resection(s). Such a holistic vision of neural processing can enhance reliability of connectomal surgery in oncological neuroscience and may also be applied to restorative neurosurgery.
Collapse
|
21
|
Duffau H. Updated perspectives on awake neurosurgery with cognitive and emotional assessment for patients with low-grade gliomas. Expert Rev Neurother 2021; 21:463-473. [PMID: 33724148 DOI: 10.1080/14737175.2021.1901583] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Introduction: Thanks to early extensive surgical resection combined with medical oncological therapies, life expectancy dramatically increased in low-grade glioma (LGG), with an overall survival currently over 15 years. Therefore, patients should be able to maintain valuable family and socio-professional activities.Areas covered: For many decades, cognitive and emotional aspects were neglected by surgical and medical neurooncologists. The goal of surgery was to avoid hemiplegia and/or aphasia, with no considerations regarding behavior. However, because LGG patients live longer, they must be cognitively and affectively able to make long-term projects. Preservation of higher-order functions should be considered systematically in LGG surgery by means of awake cognitive/emotional mapping and monitoring.Expert opinion: The aim is to incorporate recent advances in neurosciences, which proposed revisited models of cerebral processing relying on a meta-network perspective, into the pre-, intra- and postoperative procedure. In this connectomal approach, brain functions result from complex interactions within and between neural networks. This improved understanding of a constant instability of the neural system allows a better cognitive/emotional assessment before and after each treatment over years, in order to preserve personality and adaptive behavior for each LGG patient, based on his/her own definition of quality of life. It is time to create oncological neurosciences.
Collapse
Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery Gui De Chauliac Hospital, Montpellier University Medical Center, Montpellier, France.,National Institute for Health and Medical Research (INSERM), U1191 Laboratory Team "Brain Plasticity, Stem Cells and Low-Grade Gliomas", Institute of Functional Genomic, University of Montpellier, Montpellier, France
| |
Collapse
|
22
|
Duffau H. Functional Mapping before and after Low-Grade Glioma Surgery: A New Way to Decipher Various Spatiotemporal Patterns of Individual Neuroplastic Potential in Brain Tumor Patients. Cancers (Basel) 2020; 12:E2611. [PMID: 32933174 PMCID: PMC7565450 DOI: 10.3390/cancers12092611] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Revised: 09/07/2020] [Accepted: 09/11/2020] [Indexed: 12/21/2022] Open
Abstract
Intraoperative direct electrostimulation mapping (DEM) is currently the gold-standard for glioma surgery, since functional-based resection allows an optimization of the onco-functional balance (increased resection with preserved quality of life). Besides intrasurgical awake mapping of conation, cognition, and behavior, preoperative mapping by means of functional neuroimaging (FNI) and transcranial magnetic stimulation (TMS) has increasingly been utilized for surgical selection and planning. However, because these techniques suffer from several limitations, particularly for direct functional mapping of subcortical white matter pathways, DEM remains crucial to map neural connectivity. On the other hand, non-invasive FNI and TMS can be repeated before and after surgical resection(s), enabling longitudinal investigation of brain reorganization, especially in slow-growing tumors like low-grade gliomas. Indeed, these neoplasms generate neuroplastic phenomena in patients with usually no or only slight neurological deficits at diagnosis, despite gliomas involving the so-called "eloquent" structures. Here, data gained from perioperative FNI/TMS mapping methods are reviewed, in order to decipher mechanisms underpinning functional cerebral reshaping induced by the tumor and its possible relapse, (re)operation(s), and postoperative rehabilitation. Heterogeneous spatiotemporal patterns of rearrangement across patients and in a single patient over time have been evidenced, with structural changes as well as modifications of intra-hemispheric (in the ipsi-lesional and/or contra-lesional hemisphere) and inter-hemispheric functional connectivity. Such various fingerprints of neural reconfiguration were correlated to different levels of cognitive compensation. Serial multimodal studies exploring neuroplasticity might lead to new management strategies based upon multistage therapeutic approaches adapted to the individual profile of functional reallocation.
Collapse
Affiliation(s)
- Hugues Duffau
- Department of Neurosurgery, Montpellier University Medical Center, 34295 Montpellier, France; ; Tel.: +33-4-67-33-66-12; Fax: +33-4-67-33-69-12
- Institute of Functional Genomics, INSERM U-1191, University of Montpellier, 34298 Montpellier, France
| |
Collapse
|