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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/A1ED99A2-A6E7-4153-8A0B-A656FF6525DA | - |
| Identifier | https://doi.org/10.1109/ICTAI.2014.102 | - |
| Language | en | - |
| Extent | 5 pages | en |
| Title | Intelligent management of brain markers for early prognosis of the spatiotemporal growth of gliomas | en |
| Creator | Zervakis Michalis | en |
| Creator | Ζερβακης Μιχαλης | el |
| Creator | Dimitris Verganelakis | en |
| Creator | Nikos Spanoudakis | en |
| Creator | Petros Toumpaniaris | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | The diagnosis and treatment of brain gliomas has still many weaknesses and is followed by a high mortality rate and very low life expectancy. Facing towards the tendency for a personalized diagnosis and therapy, any effort should be focused to the spatiotemporal growth of the tumor for the early prognosis and treatment of the gliomas. In the above context, this study aims to analyze the brain markers choline (Cho) and fractional anisotropy (FA) in order to determine whether they are reliable indices of glioma presence in a brain region, before this region is damaged to such an extent that will be visible in the classic magnetic resonance imaging. This study is based on the experimental analysis of Cho from the spectrum of metabolites and FA from the diffusion tensor image, aiming ultimately to the improvement of the diagnosis and thus the therapy and the life expectancy rate of the patients suffering from glioma. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-25 | - |
| Date of Publication | 2014 | - |
| Subject | Basic medical sciences | en |
| Subject | Basic sciences, Medical | en |
| Subject | Biomedical sciences | en |
| Subject | Health sciences | en |
| Subject | Preclinical sciences | en |
| Subject | Sciences, Medical | en |
| Subject | medical sciences | en |
| Subject | basic medical sciences | en |
| Subject | basic sciences medical | en |
| Subject | biomedical sciences | en |
| Subject | health sciences | en |
| Subject | preclinical sciences | en |
| Subject | sciences medical | en |
| Bibliographic Citation | P. Toumpaniaris, D. Verganelakis, N. Spanoudakis, Mi. Zervakis, "Intelligent management of brain markers for early prognosis of the spatiotemporal growth of gliomas ," in 2014 26th Intern. Conf. on Tools with Arti. Intellig. (ICTAI),pp.647-651.doi:10.1109/ICTAI.2014.102 | en |
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