{'fraction_non_alphanumeric': 0.014527845036319613, 'fraction_numerical': 0.0, 'mean_word_length': 5.830578512396694, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
QUANTITATIVE ASSESSMENT OF GLIOMA THERAPY EFFICACY USING MAGNETIC RESONANCE DIFFUSION TENSOR IMAGING

Glioma, a type of malignant brain tumor, is highly aggressive and has poor clinical outcomes, despite aggressive therapeutic strategies like surgical resection, chemotherapy and radiation therapy. The inherent heterogeneous and fast-changing morphology of this tumor is not well understood. Although a number of novel therapeutic drugs are undergoing clinical trials, the quantitative assessment of glioma therapy response remains challenging due to limited in-vivo biomarkers that can differentiate infiltrative tumor from healthy brain tissue. Diffusion Tensor Imaging (DTI) is a Magnetic Resonance Imaging (MRI) technique that can non-invasively assess structural changes in tissue by local measurement of the diffusion of water molecules. It has begun to find utility in imaging the early and subtle changes in brain parenchyma in the presence of pathological changes. The isotropic and anisotropic properties of diffusion obtained by tensor decomposition are shown to be useful in studying the spatial and temporal variations of tissue. A DTI-based quantitative model was developed for the spatio-temporal analyses of the composition of glioma and surrounding tissue, to permit the longitudinal investigation of the efficacy of therapy using two different treatment strategies. Five patients undergoing an oncolytic virus therapy and five patients undergoing conventional chemo/radiation therapy were evaluated using the method developed. The diffusion based isotropic and anisotropic characteristics were investigated to demarcate the extent of