Hydrocephalus - The Cross Sectional Radiological Study of Epidemiology, Classification and Causes

Hydrocephalus

  • Sandeep Ballal Professor, Department of Radiodiagnosis, Kempegowda institute of medical sciences
  • Annitha Elavarasi Jayamohan Consultant Radiologist, Mallya Hospital
  • Suresh V Associate Professor, Department of Radiodiagnosis, KempegowdaInstitute of Medical Sciences
  • Ajit Kumar Assistant professor, Department of radio diagnosis, Kempegowda institute of medical sciences

Abstract

Background: Hydrocephalus is an active distension of the ventricular system of the brain resulting from inadequate passage of CSF from its point of production within the cerebral ventricles to its point of absorption into the systemic circulation. Subjects and Methods: This study evaluating the efficacy of Computed Tomography in the diagnosis of Hydrocephalus was done on 74 cases. All the cases were studied on a Siemens Somatom ARC Computed Tomography system which is a modified Third generation machine. Factors of 130 KV and 70 MA were a constant for all cases and factors of 110 KV and 50 MA were used for infants. Demographic profile and radiological parameters were studied and tabulated on Microsoft excel file. Results: Tubercular meningitis was the commonest cause of hydrocephalus, with aqueduct, stenosis and tumours as the second important causes. All patients with possible hydrocephalus should have an initial, complete noncontrast CT scan with serial sections from vertex down through the upper cervical region to i. demonstrate size of all ventricles and cisterns to help rule out low lying tumors, the Chiari I and Chiari II malformation. Conclusion: CT is a valuable tool with a very high diagnostic sensitivity and helps in early detection of hydrocephalus and its management.

Published
2019-08-04
How to Cite
Ballal, S., Elavarasi Jayamohan, A., V, S., & Kumar, A. (2019). Hydrocephalus - The Cross Sectional Radiological Study of Epidemiology, Classification and Causes. Asian Journal of Medical Radiological Research, 7(2), 41-45. Retrieved from https://aijournals.com/index.php/ajmrr/article/view/870
Section
Articles