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Texture analysis of quantitative ADC maps to differentiate low from high grade glioma


Shesnia Salim Padikkalakandy Cheriyath, Rishal Reshin Brayin Pokkantakath.

Affiliated to First Hospital of Dalian medical University, P.R.C

Correspondence to Author: Shesnia Salim Padikkalakandy Cheriyath


Introduction Accurate discrimination between high grade gliomas (HGG) and metastatic brain tumor (MET) using noninvasive imaging is essential for selecting appropriate surgical and radiotherapy treatments and for determining the treatment response. Brain Tumors Any uncontrolled growth of abnormal cells is called a tumor and when located within the brain they are known as brain tumors. They are categorized into Primary and Secondary brain tumors in which Primary brain tumors are tumors that arise from the cells, the meninges or neurons in the brain and Secondary tumors are those that do not initiate in the brain. The most common primary ones are Gliomas and Meningiomas. Gliomas are derived from glial cells such as astrocytes, oligodendrocytes, and ependymal cells. World Health Organization (WHO) classifies gliomas into four categories on the basis of their histologic features and malignancies.


Shesnia Salim Padikkalakandy Cheriyath. Texture analysis of quantitative ADC maps to differentiate low from high grade glioma. Clinical Imaging and Case Reports 2021.

Journal Info

  • Journal Name: Clinical Imaging and Case Reports
  • Impact Factor: 2.709**
  • ISSN: 2770-9205
  • DOI: 10.52338/cicaserep
  • Short Name: CICASEREP
  • Acceptance rate: 55%
  • Volume: 6 (2024)
  • Submission to acceptance: 25 days
  • Acceptance to publication: 10 days


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