Document Detail


Correlation between CT scan and automated perimetry in supratentorial tumors.
MedLine Citation:
PMID:  12134179     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An attempt was made to correlate various types of visual field defects on automated perimetry with the findings of computed tomography in 44 patients of supratentorial tumors. All the patients above the age of 10 years were subjected to complete neurological examination including investigations like plain X-rays and CT scan, however, MRI and angiography were performed wherever indicated. Ocular examination particularly pertaining to neuro-ophthalmological profile was carried out with special emphasis on automated perimetry on Humphrey field analyser. The results indicated that automated perimetry was capable of reliably detecting and quantitating the visual field defects and thus established the location of the tumor in 72% patients when compared to CT scan. Hence, any patient with neuro-ophthalmic features should be subjected to automated perimetry for early diagnosis and probable location of intracranial space occupying lesion affecting visual pathways.
Authors:
S Sood; N K Sharma; M Nada; A Dutt; R C Nagpal
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Neurology India     Volume:  50     ISSN:  0028-3886     ISO Abbreviation:  Neurol India     Publication Date:  2002 Jun 
Date Detail:
Created Date:  2002-07-22     Completed Date:  2002-08-14     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0042005     Medline TA:  Neurol India     Country:  India    
Other Details:
Languages:  eng     Pagination:  158-61     Citation Subset:  IM    
Affiliation:
Department of Ophthalmology, Pt. B.D. Sharma Postgraduate Institute of Medical Sciences, Rohtak, 124001, India.
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MeSH Terms
Descriptor/Qualifier:
Adult
Automation
Cerebellar Neoplasms / diagnosis*
Female
Humans
Male
Perimetry*
Tomography, X-Ray Computed*
Vision Disorders / diagnosis
Visual Fields

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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