Mathematical detection and successful management of gliomas
Abstract
Author(s): Saganuwan Alhaji Saganuwan
Inability of clinical oncologists to detect tumour early enough is a dreadful setback in management of gliomas. In view of this literatures were assessed for possible combination of mathematical parameters with scanning methods with intent to identifying all stages of gliomas that could be attacked inorder to slow down glioma growth invariably leading to increased life span. Findings have shown that gliomas of the volume of upto 20 cm3 and 6 cm long could be removed surgically or arrested chemotherapeutically, but if left untreated for 1-7.2 years can kill. Hence consideration of glioma dimension is the key to successful management.
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Editors List
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Ahmed Hussien Alshewered
University of Basrah College of Medicine, Iraq
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Sudhakar Tummala
Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh
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Alphonse Laya
Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis
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Fava Maria Giovanna
- Manuprasad Avaronnan
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