Search for dissertations about: "Low-grade glioma"

Showing result 11 - 15 of 22 swedish dissertations containing the words Low-grade glioma.

  2. 11. Tertiary lymphoid structures in glioblastoma : Discovery, Characterization and Therapeutic Induction

    Author : Alessandra Vaccaro; Anna Dimberg; Victor Engelhard; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Tertiary lymphoid structures; Glioma; Glioblastoma; Immunotherapy; Immunologi; Immunology; Oncology; Onkologi;

    Abstract : Glioblastoma (GBM) is an incurable brain cancer with a median survival of less than two years from diagnosis. The tumor microenvironment plays a major role in GBM progression through sustaining immunosuppression and poor lymphocytic infiltration. READ MORE

  4. 12. Metabolomics and proteomics studies of brain tumors : a chemometric bioinformatics approach

    Author : Lina Mörén; Henrik Antti; Anders Malmendal; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; glioblastoma; glioma; meningioma; metabolomics; proteomics; mass-spectrometry; biologisk kemi; biological chemistry;

    Abstract : The WHO classification of brain tumors is based on histological features and the aggressiveness of the tumor is classified from grade I to IV, where grade IV is the most aggressive. Today, the correlation between prognosis and tumor grade is the most important component in tumor classification. READ MORE

  5. 13. lmproving diagnosis of central nervous system tumours using genetic and epigenetic tools

    Author : Thomas Olsson Bontell; Göteborgs universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Histopathology; DNA methylation profiling; DNA methylation-based classification; Diffuse lower grade-glioma; Genomic analysis; Molecular biomarkers; Pediatric glioma;

    Abstract : Brain tumor diagnostics has traditionally been based on histopathology stains. The introduction of immunohistochemistry stains resulted in improved ability to classify these often devastating tumors. The understanding of molecular markers in central nervous system tumors has improved substantially in recent decades. READ MORE

  6. 14. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning

    Author : Muhaddisa Barat Ali; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; glioma subtype classification; convolutional autoencoder; convolutional NN; multi-stream U-Net.; CycleGAN; 1p 19q codeletion; federated learning; IDH mutation; generative adversarial network; Deep learning;

    Abstract : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. READ MORE

  7. 15. Towards new tools for clinical evaluation and visualization of tumor growth in patients with glioma

    Author : Kenney Roy Roodakker; Anja Smits; Anne-Marie Landtblom; Elna-Marie Larsson; Jan J. Heimans; Uppsala universitet; []
    Keywords : PROX1; Histology; MRI; PET; Epilepsy; Co-registration; Neurology; Neurologi;

    Abstract : Gliomas are derived from glial cells and are the most common type of primary brain tumors in adults. Gliomas are classified by the World Health Organization (WHO) according to their malignancy grade and histological and molecular features. Malignancy grades range from I to IV. WHO grade I tumors are benign tumors, mostly occurring in childhood. READ MORE