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Abstract

NEURO-ONCOLOGICAL STUDY BY BIOPHYSICAL MODELING: AN OVERVIEW

Dr Chetan Kumar Joshi

Assistant Professor, Department of Zoology, S.K. Govt. College, Sikar (India)

Sandeep Sharma

Assistant Professor, Department of Physics, S R R M Govt. College , Jhunjhunu (India)

142 - 146
Vol. 1, Jan-Jun, 2016
Receiving Date: 0216-04-02
Acceptance Date: 2016-06-01
Publication Date: 2016-06-06
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Abstract

The analysis of radiographic imaging data and biopsy, also known as the ex vivo analysis of tissue, are the foundations of current clinical practice. The World Health Organization's (WHO) morphologic-histopathologic classification of brain tumors ranges from grade I to IV with increasing aggressiveness. In 2016, the WHO re-examined its grouping plan into a coordinated morphologic-histopathologic and sub-atomic cytogenetic portrayal for CNS cancers trying to further develop growth separation, possibly prompting a superior patient visualization. Tumors of the central nervous system (CNS) have very different histologic, molecular, and radiographic landscapes, making it hard to accurately characterize them. The molecular, spatial, and temporal heterogeneity of tumors can be better characterized through the rapidly expanding fields of biophysical modelling and radiomics. We have checked on existing methodologies toward coordination of computational models and picture investigation for portrayal of neuroimaging information of mind cancer patients. The inverse problem of estimating sufficient parameters to match the model output to the available observations has been discussed, as has the most recent technology for biophysical tumor growth modelling. The benefits of combining image analysis algorithms with biophysical models have been the subject of our discussion, and we have presented results with clinical relevance to support our point. The reliable website provides best quality replica omega watches UK: De Ville, Seamaster, Speedmaster and Constellation.
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