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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Awards Nomination

Editors List

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh

     

     

     

  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis

     

  • Fava Maria Giovanna

     

  • Manuprasad Avaronnan

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