Letteratura scientifica selezionata sul tema "Diffuse Low-Grade Glioma (DLGG)"
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Articoli di riviste sul tema "Diffuse Low-Grade Glioma (DLGG)":
Darlix, Amélie, Emmanuel Mandonnet, Christian F. Freyschlag, Daniel Pinggera, Marie-Therese Forster, Martin Voss, Joachim Steinbach et al. "Chemotherapy and diffuse low-grade gliomas: a survey within the European Low-Grade Glioma Network". Neuro-Oncology Practice 6, n. 4 (13 dicembre 2018): 264–73. http://dx.doi.org/10.1093/nop/npy051.
Mansouri, Alireza, Karanbir Brar e Michael D. Cusimano. "Considerations for a surgical RCT for diffuse low-grade glioma: a survey". Neuro-Oncology Practice 7, n. 3 (12 novembre 2019): 338–43. http://dx.doi.org/10.1093/nop/npz058.
Silva, Melissa, Catalina Vivancos e Hugues Duffau. "The Concept of «Peritumoral Zone» in Diffuse Low-Grade Gliomas: Oncological and Functional Implications for a Connectome-Guided Therapeutic Attitude". Brain Sciences 12, n. 4 (15 aprile 2022): 504. http://dx.doi.org/10.3390/brainsci12040504.
Darlix, Amélie, Valérie Rigau, Julien Fraisse, Catherine Gozé, Michel Fabbro e Hugues Duffau. "Postoperative follow-up for selected diffuse low-grade gliomas with WHO grade III/IV foci". Neurology 94, n. 8 (22 gennaio 2020): e830-e841. http://dx.doi.org/10.1212/wnl.0000000000008877.
Zhang, Kai, Dingyang Liu, Zhuanyi Yang, Xuejun Li, Zhiquan Yang e Xinghui He. "Resective surgery for patients with frontal lobe diffuse low-grade glioma-related epilepsy: predictors of seizure outcomes". Therapeutic Advances in Chronic Disease 13 (gennaio 2022): 204062232211418. http://dx.doi.org/10.1177/20406223221141856.
Alvarez de Eulate-Beramendi, Sayoa, Valérie Rigau, Luc Taillandier e Hugues Duffau. "Delayed leptomeningeal and subependymal seeding after multiple surgeries for supratentorial diffuse low-grade gliomas in adults". Journal of Neurosurgery 120, n. 4 (aprile 2014): 833–39. http://dx.doi.org/10.3171/2013.10.jns131512.
Levine, Adrian, Cyril Li, Joseline Haizel-Cobbina, Liana Nobre, Julie Bennett, Michael Dewan, Uri Tabori e Cynthia Hawkins. "LGG-12. CLINICAL AND MOLECULAR FEATURES OF DISSEMINATED PEDIATRIC LOW-GRADE GLIOMA". Neuro-Oncology 25, Supplement_1 (1 giugno 2023): i58. http://dx.doi.org/10.1093/neuonc/noad073.222.
Ali Khan, Ahsan, Mohammad Hamza Bajwa, Noman Khan, Muhammad Usman Khalid, Fatima Mubarak e Syed Ather Enam. "NIMG-76. DISCRETE LOWER-GRADE GLIOMA (DLGG) VERSUS INFILTRATIVE LOWER-GRADE GLIOMA (ILGG): CORRELATION OF RADIOLOGICAL CHARACTERISTICS WITH CLINICAL OUTCOMES". Neuro-Oncology 23, Supplement_6 (2 novembre 2021): vi146—vi147. http://dx.doi.org/10.1093/neuonc/noab196.573.
Hamidi, Nima, Ajay Fernandez, Kyle Tuohy e Alireza Mansouri. "QOLP-09. HEALTH ECONOMIC EVALUATION OF LOW-GRADE GLIOMA MANAGEMENT: A SYSTEMATIC REVIEW". Neuro-Oncology 22, Supplement_2 (novembre 2020): ii176. http://dx.doi.org/10.1093/neuonc/noaa215.734.
Zetterling, Maria, Kenney R. Roodakker, Shala Ghaderi Berntsson, Per-Henrik Edqvist, Francesco Latini, Anne-Marie Landtblom, Fredrik Pontén, Irina Alafuzoff, Elna-Marie Larsson e Anja Smits. "Extension of diffuse low-grade gliomas beyond radiological borders as shown by the coregistration of histopathological and magnetic resonance imaging data". Journal of Neurosurgery 125, n. 5 (novembre 2016): 1155–66. http://dx.doi.org/10.3171/2015.10.jns15583.
Tesi sul tema "Diffuse Low-Grade Glioma (DLGG)":
Brzenczek, Cyril. "Modélisation multi-facteurs pour l’aide à la décision dans le traitement par chimiothérapie des tumeurs cérébrales de type gliome diffus de bas grade". Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0095.
Diffuse Low-Grade Glioma (DLGG) is defined by the WHO as a primary tumour of the central nervous system and represents 15% of all glial tumours combined. A DLGG grows slowly, and inevitably evolve into a much more aggressive (grade III) glioma, which eventually leads to the death of the patient. Three types of treatment are available: surgery, chemotherapy and radiotherapy. Today, the median survival rates reported in studies varies from 10 to 15 years. Unfortunately, the prognosis for DLGG is highly variable, with a high standard deviation of total survival, and some patients are surviving only a few years. Within the framework of DLGG management at Nancy University Hospital, chemotherapy is one of the most widely used treatments and there are very variable responses in terms of intensity, duration and response profiles. The thesis work is located in this context. It concerns the study of the response to chemotherapy and consists in developing decision-making tools for the neuro-oncologist in the follow-up of patients. The first part of this thesis work therefore focuses on the choice of the volumetric method. The volume response curve can then be characterised in terms of response intensity. The second part of this work concerns response modelling using statistical learning techniques. Many explanatory variables (epidemiological, genetic) are under study. A new variable called ESVR, which is an original measure allowing us to quantify the infiltrating DLGG phenotype, will also be used. The factorial analysis and machine learning methods initially make possible to define the variables that provide the most information. Exploratory analyses of the data reveal a redundancy of information among certain genetic and epidemiological factors. The models show a greater influence of quantitative variables on the response to chemotherapy compared to qualitative variables. A discussion is finally produced on the importance of the variables used in the prediction of the response to chemotherapy. The aim of this thesis is to produce a set of rules which will enable clinicians to anticipate, before administering the treatment, its effect on tumour volume, which will allow a more advised choice of therapeutic strategy than possible nowadays
Konnully, Augustus Meera Bessy. "Characterization of cellular heterogeneity in Diffuse Low Grade Glioma". Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTT038.
Diffuse Low-Grade Gliomas (DLGG) are WHO grade II glial tumors affecting younger adults. They are characterized as silent, slow growing tumors with fewer mitotic activities. However, they diffuse and invade the healthy brain via blood vessels and nerve fibers. These, over a period of years develop to malignant Glioblastoma, aggressive brain tumors where patients have an average medial survival of 12-15 months after diagnosis. Ill-defined phenotypic and cellular diversity of DLGG poses serious limitation to treatment and prevention at the early stage.In my PhD thesis, I aimed to address this limitation by characterizing the cellular heterogeneity in IDH1-mutated DLGG. By performing immunofluorescence analysis on grade II astrocytoma and oligodendroglioma, I have identified two largely non-overlapping cellular subpopulations expressing SOX9 and OLIG1 transcription factors, which represent astrocyte-like and oligodendrocyte-like cells, respectively. Upon further investigation, I have shown that these subpopulations express distinct molecular markers. Sox9 cells are associated with APOE, KCNN3, CRYAB and ID4, while Olig1 cells showed strong correlation with the expression of PDGFRA, SOX8, MASH1, and SOX4. In addition, the sox9 cells show a particular activation of signaling pathways including Notch, BMP and their downstream targets.To ascertain the role of Notch signaling in regulating the formation of these tumoral subpopulations, I used magnetic sorting of tumor cells from freshly resected glioma samples and overexpressed Notch Intracellular Domain (NICD), an active form of Notch. Increased Notch activation resulted in an upregulation of Sox9- and downregulation of Olig1-associated cell markers. I have then extended these analyses on one anaplastic IDH1 mutated patient derived cell line which reproduced similar gene expression profile confirming the robustness of the role of Notch signaling in regulating the plasticity of the cells. Parallel experiments performed by activation of Bone Morphogenetic Protein (BMP) signaling on IDH1 mutated cell line did not show a prominent effect on the plasticity. Nevertheless, BMP signal activation highly upregulated CRYAB, a SOX9 related marker and downregulated OLIG1 and OLIG2.In conclusion, I have identified two non-overlapping tumor subpopulations in diffuse low-grade gliomas and demonstrated the deterministic role of Notch signaling pathway in their formation. I believe that these findings would aid in better understanding tumoral heterogeneity in DLGG and be extended in designing new therapeutic strategies against these tumors
Ben, Abdallah Mériem. "Un modèle de l'évolution des gliomes diffus de bas grade sous chimiothérapie". Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0215/document.
Diffuse low-grade gliomas are brain tumors of young adults. In this thesis, we focus on the segmentation and on the modeling of these tumors. In the first part of the manuscript, we study the segmentation of diffuse low-grade gliomas based on different manual and semi-automatic methods. The delineation of these tumors can be problematic because of their very infiltrating and inhomogeneous nature. In clinical practice, the monitoring of diffuse low-grade gliomas is based on the estimation of tumor volume, obtained either through a segmentation followed by a software reconstruction or through the three diameters method. As for the segmentation, it is manual and it is performed by practitioners on FLAIR-weighted or T2-weighted MRI.The three diameters approach is fast but it is difficult to implement in the case of highly infiltrating diffuse low grade gliomas or after a treatment. The manual segmentation and software-based volume reconstruction solution is time-consuming but it remains more accurate in comparison with the three diameters method. We investigate in this work the reproducibility of the manual segmentation with the OsiriX software by performing a subjective test in the Living Lab PROMETEE in TELECOM Nancy. The results of this study show that neither the practitioners' specialty nor their number of years of experience seem to have a significant impact on the quality of the segmentation. We also compare the results to those of a second test where we apply the three diameters method. Finally, we explore two semi-automatic segmentation algorithms which are, respectively, based on active contours and on the level set method. Even if automatic segmentation seems to be a promising avenue, we recommend for now the use of manual segmentation because of the diffuse nature of low-grade gliomas, which makes the tumor's contours complex to delineate. The second part of the manuscript is dedicated to the modeling of diffuse low-grade gliomas themselves or, to be more precise, to the modeling of the evolution of the tumor's diameter during chemotherapy. The therapeutic management of patients with these tumors often includes indeed chemotherapy. For this work, we focus on Temozolomide chemotherapy in first-line treatment. After the beginning of the treatment, the practitioners would like to determine the optimum time of discontinuation. We propose a statistical modeling of tumor diameter under chemotherapy. This modeling is based on linear and exponential regression models. It can predict the tumor diameter from a set of training dataset and can alert the clinician on the state of change in diameter under treatment. We hope that these models will, eventually, be used as a tool in the planning of chemotherapy in a clinical environment
Ben, Abdallah Mériem. "Un modèle de l'évolution des gliomes diffus de bas grade sous chimiothérapie". Electronic Thesis or Diss., Université de Lorraine, 2016. http://www.theses.fr/2016LORR0215.
Diffuse low-grade gliomas are brain tumors of young adults. In this thesis, we focus on the segmentation and on the modeling of these tumors. In the first part of the manuscript, we study the segmentation of diffuse low-grade gliomas based on different manual and semi-automatic methods. The delineation of these tumors can be problematic because of their very infiltrating and inhomogeneous nature. In clinical practice, the monitoring of diffuse low-grade gliomas is based on the estimation of tumor volume, obtained either through a segmentation followed by a software reconstruction or through the three diameters method. As for the segmentation, it is manual and it is performed by practitioners on FLAIR-weighted or T2-weighted MRI.The three diameters approach is fast but it is difficult to implement in the case of highly infiltrating diffuse low grade gliomas or after a treatment. The manual segmentation and software-based volume reconstruction solution is time-consuming but it remains more accurate in comparison with the three diameters method. We investigate in this work the reproducibility of the manual segmentation with the OsiriX software by performing a subjective test in the Living Lab PROMETEE in TELECOM Nancy. The results of this study show that neither the practitioners' specialty nor their number of years of experience seem to have a significant impact on the quality of the segmentation. We also compare the results to those of a second test where we apply the three diameters method. Finally, we explore two semi-automatic segmentation algorithms which are, respectively, based on active contours and on the level set method. Even if automatic segmentation seems to be a promising avenue, we recommend for now the use of manual segmentation because of the diffuse nature of low-grade gliomas, which makes the tumor's contours complex to delineate. The second part of the manuscript is dedicated to the modeling of diffuse low-grade gliomas themselves or, to be more precise, to the modeling of the evolution of the tumor's diameter during chemotherapy. The therapeutic management of patients with these tumors often includes indeed chemotherapy. For this work, we focus on Temozolomide chemotherapy in first-line treatment. After the beginning of the treatment, the practitioners would like to determine the optimum time of discontinuation. We propose a statistical modeling of tumor diameter under chemotherapy. This modeling is based on linear and exponential regression models. It can predict the tumor diameter from a set of training dataset and can alert the clinician on the state of change in diameter under treatment. We hope that these models will, eventually, be used as a tool in the planning of chemotherapy in a clinical environment
Herbet, Guillaume. "Vers un modèle à double voie dynamique et hodotopique de l'organisation anatomo-fonctionnelle de la mentalisation : étude par cartographie cérébrale multimodale chez les patients porteurs d'un gliome diffus de bas-grade". Thesis, Montpellier 1, 2014. http://www.theses.fr/2014MON1T004/document.
Understanding how the brain produces sophisticated behaviours strongly depends of our knowledge on its anatomical and functional organization. Until recently, it was believed that high-level cognition was merely the by-product of the neural activity of discrete and highly specialized cortical areas. Major findings obtained in the past decade from neuroimaging, particularly from the field of connectomics, prompt now researchers to revise drastically their conceptions about the links between brain structures and functions. The brain seems indeed organized in complex, highly distributed and plastic neurocognitive networks. This is in this state of mind that our work has been carried out. Its foremost ambition was to rethink actuals models of social cognition, especially mentalizing, through the behavioural study of patients harbouring a diffuse low-grade glioma. Because this rare neurological tumour induces major functional reorganization phenomena and migrates preferentially along axonal associative connectivity, it constitutes an excellent pathophysiological model for unmasking the core structures subserving complex cognitive systems. Anatomo-clinical correlations were conducted according to both a classical topological approach (region of interest analyses, voxel-based lesion-symptom mapping, intraoperative cortical electrostimulation) and a hodological approach (degree of disconnection of associative white matter fasciculi, intraoperative axonal connectivity mapping). The main results of our different studies enable us to lay the foundation of a dynamic (plastic) and hodotopical (connectivity) dual-stream model of mentalizing. Specifically, a dorsal stream, interconnecting mirror frontoparietal areas via the perisylvian network (arcuate fasciculus and lateral superior longitudinal fasciculus), may subserve low-level perceptual processes required in rapid and pre-reflective identification of mental states; a cingulo-medial stream, interconnecting medial prefrontal and rostro-cingulated areas with medial posterior parietal areas via the cingulum, may subserve higher-level processes required in reflective mentalistic inferences. These original findings represents a great step in social neuroscience, have major implications in clinical practice, and opens new opportunities in understanding certain pathological conditions characterized by both mentalizing deficits and aberrant structural connectivity (e.g. autism spectrum disorders)
Lemaitre, Anne-Laure. "Métacognition et personnalité chez des patients porteurs d'un gliome diffus de bas grade : un eclairage nouveau sur le potentiel plastique du cerveau humain". Thesis, Lille 3, 2019. http://www.theses.fr/2019LIL3H059.
Recent findings in the field of neuropsychology have allowed to move from a localized to a dynamic network approach of brain functions. This paradigmatic shift, from a static to a reshaping brain, has been supported by the investigation of patients with low-grade glioma, a neurological tumor known to trigger processes of compensation and rescue of brain functions. However, it is currently unestablished whether this neuroplastic compensation may extend to higher-order cognitive functions, specifically those involved in self-consciousness. By using both anatomo-functional correlational methods based on lesions localization and structural disconnection approach, the purpose of this work was to assess the extent to which the neurosurgical resections of low-grade glioma affect metacognitive processes and personality traits. First, we showed that frontal lobectomies, both unilateral and bilateral, did not induce metaperceptive impairments despite the established role of the prefrontal cortex in metacognition. Likewise, our results suggest that massive surgical resections did not significantly affect personality traits. However, some of them such as positive schizotypy, and a few behavioral modifications, such as anosognosia, were found to be associated with the disruption of some white matter bundles
Yordanova, Yordanka Nikolova. "Un éclairage nouveau sur les bases neurales de la mentalisation : une étude combinant cartographie multimodale et IRM fonctionnelle de repos chez des patients atteints d’un gliome diffus de bas grade". Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTT052/document.
Mentalizing, or the ability of human beings to make assumptions about other people’s mental states, has been the subject of many studies over the last 20 years. The neural bases and especially the white matter connectivity of this complex cognitive function is still poorly understood. Recently, an anatomo-functional organization into two neural pathways has been proposed. According to this model, it is assumed that the reflective, inferential aspects of mentalizing is underpinned by the cingulum. The reflexive, identificatory aspects of mentalizing are thought to be mediated, for their part, by the arcuate fascicle and the lateral part of the superior longitudinal fascicle. The main purpose of this scientific work is to provide original data on the anatomo-functional organization of the neural network involved in the face-based mentalizing. We used as a pathophysiological study model diffuse low-grade gliomas. These primary brain tumors are particularly interesting for the study of the functional role of the white matter for two reasons: (i) the tumor cells propagate preferentially along the white matter fibers; (ii) the surgical resection is often performed in awake condition with intraoperative functional mapping to identify, and thus to preserve functional structures, including the white matter.In our first study, using intraoperative electrical stimulation, we were able to identify a large cortico-subcortical mentalizing network. The analysis of the disconnections induced by the stimulation of the white matter allowed us to clearly highlight, for the first time, the role of the inferior fronto-occipital fascicle. We also confirmed the already established role of the superior longitudinal fascicle in mentalizing. In a second study, using lesion mapping analyses in patients operated on for a diffuse low-grade glioma, we demonstrated that the long-term, non-compensatory mentalizing deficit was explained by the involvement of the arcuate fascicle. Finally, in a third study combining resting-state functional MRI and the cortical sites unmasked during surgery, we were able to identify a large cortical mentalizing networks, which were very similar to those identified by classical task-based functional imaging.In general, our findings suggest that the face-based mentalizing would require the integrity of at least two associative white matter fascicles. They also validate the combined use of resting-state functional MRI and direct cortical stimulations as an original approach to map neurocognitive networks.In addition to these fundamental considerations, our results have also clinical implications, especially regarding the intraoperative functional mapping. They also provide a better understanding of brain pathologies characterized by both mentalizing deficit and white matter impairment
Capitoli di libri sul tema "Diffuse Low-Grade Glioma (DLGG)":
Mandonnet, Emmanuel, Luc Taillandier e Hugues Duffau. "From Management of Incidental DLGG to Screening of Silent DLGG". In Diffuse Low-Grade Gliomas in Adults, 729–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55466-2_35.
Mandonnet, Emmanuel. "Biomathematical Modeling of DLGG". In Diffuse Low-Grade Gliomas in Adults, 651–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55466-2_31.
Duffau, Hugues, e Luc Taillandier. "New Individualized Strategies in DLGG". In Diffuse Low-Grade Gliomas in Adults, 435–43. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2213-5_27.
Mandonnet, Emmanuel. "Biomathematical Modeling of DLGG Behavior". In Diffuse Low-Grade Gliomas in Adults, 447–55. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2213-5_28.
Duffau, Hugues. "Interactions Between Diffuse Low-Grade Glioma (DLGG) and Brain Plasticity". In Diffuse Low-Grade Gliomas in Adults, 337–56. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2213-5_22.
Herbet, Guillaume, e Sylvie Moritz-Gasser. "Functional Rehabilitation in Patients with Diffuse Low-Grade Glioma (DLGG)". In Diffuse Low-Grade Gliomas in Adults, 463–73. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2213-5_30.
Duffau, Hugues. "Interactions Between Diffuse Low-Grade Glioma (DLGG), Brain Connectome and Neuroplasticity". In Diffuse Low-Grade Gliomas in Adults, 431–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55466-2_22.
Mandonnet, Emmanuel. "Dynamics of DLGG and Clinical Implications". In Diffuse Low-Grade Gliomas in Adults, 287–306. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55466-2_16.
Herbet, Guillaume, e Sylvie Moritz-Gasser. "Functional Rehabilitation in Patients with DLGG". In Diffuse Low-Grade Gliomas in Adults, 595–608. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55466-2_27.
Mandonnet, Emmanuel. "Dynamics of DLGG and Clinical Implications". In Diffuse Low-Grade Gliomas in Adults, 249–62. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2213-5_17.
Atti di convegni sul tema "Diffuse Low-Grade Glioma (DLGG)":
Ben Abdallah, Meriem, Marie Blonski, Sophie Wantz-Mezieres, Yann Gaudeau, Luc Taillandier e Jean-Marie Moureaux. "Predictive models for diffuse low-grade glioma patients under chemotherapy". In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591692.
Ben Abdallah, Meriem, Marie Blonski, Sophie Wantz-Mezieres, Yann Gaudeau, Luc Taillandier e Jean-Marie Moureaux. "Statistical evaluation of manual segmentation of a diffuse low-grade glioma MRI dataset". In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7591703.
Brzenczek, Cyril, Sophie Mezieres, Yann Gaudeau, Marie Blonski, Fabien Rech, Tiphaine Obara, Luc Taillandier e Jean-Marie Moureaux. "An original MRI-based method to quantify the Diffuse Low-Grade Glioma brain infiltration". In 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2020. http://dx.doi.org/10.1109/ipta50016.2020.9286608.
Scheinin, Ilari, Hinke F. van Thuijl, Daoud Sie, Hendrik F. van Essen, Paul P. Eijk, Francois Rustenburg, Ahmed Idbaih et al. "Abstract 3426: A novel approach to copy number assessment by whole genome sequencing reveals extensive spatial heterogeneity in diffuse low-grade glioma". In Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA. American Association for Cancer Research, 2014. http://dx.doi.org/10.1158/1538-7445.am2014-3426.